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Tepanosyan G, Poghosyan Z, Sahakyan L. Geochemical characterization of changes in the chemical composition of river sediments under the continuous anthropogenic influence of Yerevan, Armenia. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 359:124553. [PMID: 39009300 DOI: 10.1016/j.envpol.2024.124553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/08/2024] [Accepted: 07/12/2024] [Indexed: 07/17/2024]
Abstract
The long-term study of the chemical composition of river sediments within urban areas and the establishment of baseline values of major and trace elements is an important task. Therefore, this study aims to provide a geochemical characterization of the sediments, establish a local geochemical baseline, unveil geochemical associations of elements, study the trend of changes in element pollution levels and the associated ecological risks. The results indicate that the change of the local physical characteristics across the river flow (canyon-flat relief surrounded by buildings-reservoir-flat relief under the influence of contamination sources) and locations of contamination sources conditioned the formation of positive extreme values detected for the majority of the studied elements. An analogous variation pattern of major and trace elements median values (2019-2023) was observed for Cr, V, Cu, Fe, Co, Zr Mn, Zn, K, Ba over 5 years representing the geochemical signature of the local geological composition (basalt, andesibasalts, andesite, tuff, K-feldspar). The pollution level and the ecological risk assessment showed that during the study period moderately and highly hazardous levels of multi-element pollution were detected in the southwestern part of the river located near the industrial enterprises. In the meantime, moderate (in 2020) and considerable (in 2021) ecological risk levels were observed at the site near the artificial reservoir. A hierarchical clustering combined with the geochemical ratio analysis reveals three groups of geochemical associations that have a natural (Fe, Mn, Co, V, Ti, Zr, K, Rb, Ba); anthropogenic (Cu, Zn, Pb, Mo) and mixed (Ca, Sr, Cr) origin. Moreover, the anthropogenic association shows affinity to Ca hence denominating the dominant role of carbonates in the fixation and coprecipitation of Cu2+, Pb2+, Mo2+, Zn2+ ions. The comparison of the baseline values of the studied elements with the upper continental crust values confirmed their applicability for differentiation of their origin.
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Affiliation(s)
- Gevorg Tepanosyan
- The Center for Ecological-Noosphere Studies NAS, Yerevan, 0025, Abovian-68, Armenia.
| | - Zhenya Poghosyan
- The Center for Ecological-Noosphere Studies NAS, Yerevan, 0025, Abovian-68, Armenia
| | - Lilit Sahakyan
- The Center for Ecological-Noosphere Studies NAS, Yerevan, 0025, Abovian-68, Armenia
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Karmaker KD, Khan N, Akhtar US, Moniruzzaman M, Parvin A, Ghosh A, Saha B, Hossain MK. First assessment of trace metals in the intertidal zone of the world's longest continuous beach, Cox's Bazar, Bangladesh. MARINE POLLUTION BULLETIN 2024; 207:116928. [PMID: 39241370 DOI: 10.1016/j.marpolbul.2024.116928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 08/30/2024] [Accepted: 08/31/2024] [Indexed: 09/09/2024]
Abstract
This study aimed to assess the concentrations of eight trace metals - Cr, As, Pb, Mn, Ni, Zn, Hg, and Co - in the intertidal zone of Cox's Bazar of Bangladesh, the world's longest continuous beach. Most metal concentrations were below sediment quality guidelines and other comparative studies. The mean metal concentrations (mg kg-1) were as follows: Mn (471.67) > Zn (256.35) > Cr (89.96) > Pb (39.66) > Ni (36.44) > As (18.79) > Co (11.08) > Hg (0.0036). Statistical analyses revealed that only samples collected from stations 5 and 7 presented any cause for concern. Risk assessment indices, i.e., Geo-accumulation Index (Igeo), Contamination Factor (CF), Pollution Load Index (PLI), Potential Ecological Risk Index (PERI), and Toxic Risk Index (TRI), all indicated a low to moderate risk of pollution for all sites, suggesting that the study area is currently free from any significant negative impacts resulting from human activities. The calculated Hazard Index (HI) was <1, indicating no significant non-carcinogenic impact on adults or children. The Total Carcinogenic Risk was also well below the threshold value.
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Affiliation(s)
- Kowshik Das Karmaker
- BCSIR Laboratories Dhaka, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh; Department of Oceanography, University of Dhaka, Dhaka 1000, Bangladesh
| | - Nasim Khan
- BCSIR Laboratories Dhaka, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh; Department of Oceanography, University of Dhaka, Dhaka 1000, Bangladesh
| | - Umme Sarmeen Akhtar
- Central Analytical Research Facilities (CARF), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dr. Qudrat-i-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh; IGCRT, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh
| | - Mohammad Moniruzzaman
- BCSIR Laboratories Dhaka, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh; Central Analytical Research Facilities (CARF), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dr. Qudrat-i-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh
| | - Afroza Parvin
- BCSIR Laboratories Dhaka, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh; Central Analytical Research Facilities (CARF), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dr. Qudrat-i-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh
| | - Arnob Ghosh
- Department of Oceanography, University of Dhaka, Dhaka 1000, Bangladesh
| | - Badhan Saha
- BCSIR Laboratories Dhaka, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh; Central Analytical Research Facilities (CARF), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dr. Qudrat-i-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh
| | - Md Kamal Hossain
- BCSIR Laboratories Dhaka, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka 1205, Bangladesh; Central Analytical Research Facilities (CARF), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dr. Qudrat-i-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh.
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Ghosh A, Karmaker KD, Hasan M, Rahman M, Shimu NJ, Islam MS, Rahman MS, Hossain MS, Ismail Z. Trace element contamination in water and sediment in an estuarine ecosystem connected to the Bay of Bengal: A preliminary assessment of ecological and human health risks. MARINE POLLUTION BULLETIN 2024; 207:116897. [PMID: 39236491 DOI: 10.1016/j.marpolbul.2024.116897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 08/22/2024] [Accepted: 08/23/2024] [Indexed: 09/07/2024]
Abstract
The research, focusing on the analysis of nine trace elements, namely As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn, completely analyzed their quantities in both water and sediment inside the Rabnabad Channel. Samples were collected during the post-monsoon and analyzed by ICP-OES following acid digestion. The mean concentrations of elements in water and sediments are as follows: Fe > Mn > Pb > Cu > Ni > Zn > Cr > As>Cd, and Zn > Fe > Pb > Mn > As>Cu > Cr > Ni > Cd. To understand the state of ecological and human health risk, several indices were incorporated. Health risk assessment revealed that children posed higher risk than adults. PERI, TRI, and Igeo indices for water sediment indicate a significant ecological risk. Moreover, Mn and Pb exhibit elevated HPI values and contribute substantially to contamination factors. Correlation and PCA implicate both anthropogenic and geogenic sources, such as agricultural practices, coal-based power plants, and the Payra seaport, in the elevated concentrations of Cd, Cr, Mn, and Fe in both water and sediment samples.
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Affiliation(s)
- Arnob Ghosh
- Department of Oceanography, University of Dhaka, Dhaka 1000, Bangladesh
| | | | - Mahmudul Hasan
- Department of Oceanography, University of Dhaka, Dhaka 1000, Bangladesh
| | - Mahfujur Rahman
- Department of Geology, University of Dhaka, Dhaka 1000, Bangladesh
| | - Nusrat Jahan Shimu
- Department of Oceanography, University of Dhaka, Dhaka 1000, Bangladesh.
| | - Md Saiful Islam
- Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh
| | - M Safiur Rahman
- Water Quality Research Laboratory, Chemistry Division, Atomic Energy Centre, Bangladesh Atomic Energy Commission, 4-Kazi Nazrul Islam Avenue, Dhaka 1000, Bangladesh
| | - Md Shawon Hossain
- Department of Oceanography, University of Dhaka, Dhaka 1000, Bangladesh
| | - Zulhilmi Ismail
- Centre for River and Coastal Engineering (CRCE), Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Malaysia; Department of Water & Environmental Engineering, Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor, Malaysia
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Wang F, Yu Z, Zhang Y, Ni R, Li Z, Li S, Song N, Liu J, Zong H, Jiao W, Shi H. Source-risk and uncertainty assessment of trace metals in surface sediments of a human-dominated seaward catchment in eastern China. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135960. [PMID: 39353272 DOI: 10.1016/j.jhazmat.2024.135960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 09/12/2024] [Accepted: 09/25/2024] [Indexed: 10/04/2024]
Abstract
Current total concentration-based methods for source attribution and risk assessment often overestimate metal risks, thereby impeding the formulation of effective risk management strategies. This study aims to develop a framework for source-specific risk assessment based on metal bioavailability in surface river sediments from a human-dominated seaward catchment in eastern China. Metal bioavailability was quantified using chemical fractionation results, and source apportionment was conducted using the positive matrix factorization (PMF) model. Risk assessment integrated these findings using two indices: the Potential Ecological Risk Index (PERI) and the Mean Probable Effect Concentration Quotient (mPEC-Q), with uncertainty addressed via Monte Carlo simulations. Results indicated that average total concentrations of Cu, Pb, Zn, Cr, Hg, Cd, and As exceeded their respective background levels by 1.63 to 15.00 times. The residual fraction constituted the majority, accounting for 53.84 % to 77.79 % of total concentrations, suggesting significant natural origins. However, source apportionment revealed a predominant contribution from anthropogenic activities, including industrial smelting, agricultural practices, and atmospheric deposition. The contributions were found to vary between 5.35 % and 40.03 % when the total concentration was adjusted to bioavailable content. Total concentration-based PERI/mPEC-Q assessments indicated high/moderate risk levels, decreasing to considerable/low risk levels with bioavailability adjustment. Hg and Cd were identified as priority metals. Further incorporating source appointment parameters into the risk assessment, industrial smelting was identified as the primary contributor, accounting for 66.06 % of total risk by total concentration and 65.63 % by bioavailability. This underscores the role of bioavailability in mitigating risk overestimation. Monte Carlo simulations validated industrial smelting as a major risk contributor. This study emphasizes the importance of considering bioavailability in the source-risk assessment of sediment-metals, crucial for targeted risk management in urbanized catchment areas.
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Affiliation(s)
- Fangli Wang
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Zihan Yu
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Yali Zhang
- Key Laboratory of Land Surface Pattern and Simulation, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Runxiang Ni
- Rural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, China
| | - Zhi Li
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Shaojing Li
- College of Science and Information, Qingdao Agricultural University, Qingdao 266109, China
| | - Ningning Song
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Jun Liu
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Haiying Zong
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Wei Jiao
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China.
| | - Hongtao Shi
- College of Science and Information, Qingdao Agricultural University, Qingdao 266109, China.
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Khan A, Khan MS, Hadi F, Khan Q, Ali K, Saddiq G. Risk assessment and soil heavy metal contamination near marble processing plants (MPPs) in district Malakand, Pakistan. Sci Rep 2024; 14:21533. [PMID: 39278940 PMCID: PMC11403003 DOI: 10.1038/s41598-024-72346-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 09/05/2024] [Indexed: 09/18/2024] Open
Abstract
Soil heavy metals (HMs) pollution is a growing global concern, mainly in regions with rapid industrial growth. This study assessed the concentrations, potential sources, and health risks of HMs in agricultural soils near marble processing plants in Malakand, Pakistan. A total of 21 soil samples were analyzed for essential and toxic HMs via inductively coupled plasma‒optical emission spectrometry (ICP‒OES), and probabilistic health risks were evaluated via Monte Carlo simulation. The concentrations (mg/kg) of Ca (29,250), P (805.5) and Cd (4.5) exceeded the average shale limits of 22,100, 700, and 3.0 mg/kg, respectively, and indices such as Nemerow's synthetic contamination index (NSCI) and the geoaccumulation index (Igeo) categorized the soil sites as moderately polluted. The potential ecological risk index (PERI) indicated considerable to high ecological risk for As and Cd. The deterministic analysis indicated non-carcinogenic risks for children (HI > 1), whereas the probabilistic analysis suggested no significant risk (HI < 1) for both adults and children. Both methods indicated that the total cancer risk for Cr, Ni, Cd, and As exceeded the USEPA safety limits of 1.0E-06 and 1.0E-04. Sensitivity analysis identified heavy metal concentration, exposure duration, and frequency as key risk factors. The study suggested that HM contamination is mainly anthropogenic, poses a threat to soil and human health, and highlights the need for management strategies and surveillance programs to mitigate these risks.
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Affiliation(s)
- Asghar Khan
- Department of Botany, Islamia College, Peshawar, Pakistan.
- Department of Botany, Government Degree College, Totakan, District Malakand, Pakistan.
| | | | - Fazal Hadi
- Department of Biotechnology, University of Malakand, Chakdara, Pakistan
| | - Qaisar Khan
- Material Chemistry Laboratory, University of Malakand, Chakdara, Pakistan
| | - Kishwar Ali
- College of General Education, University of Doha for Science and Technology, Arab League Street, P.O. Box 24449, Doha, Qatar
| | - Ghulam Saddiq
- Department of Physics, Islamia College, Peshawar, Pakistan
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Prasad DK, Shukla R, Ahammad SZ. Pharmaceuticals and personal care products and heavy metals in the Ganga River, India: Distribution, ecological and human health risk assessment. ENVIRONMENTAL RESEARCH 2024; 263:119993. [PMID: 39276830 DOI: 10.1016/j.envres.2024.119993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 08/17/2024] [Accepted: 09/11/2024] [Indexed: 09/17/2024]
Abstract
In the present study, pharmaceuticals and personal care products (PPCPs), endocrine disrupting compounds (EDCs), and heavy metals (HMs), were measured in water and sediment of the Ganga River during summer and winter seasons for two consecutive years. Additionally, this study estimated the ecological and human health risks associated with PPCPs, EDCs, and HMs. HMs detected in the range of not detected (n.d.) to 23.59 μg/L and 0.01-391.44 μg/g in water and sediment samples, respectively. All studied HMs were within the permissible limits, except for As in water, and Cr and Ni in sediment. The geo-accumulation index (Igeo) indicated that Cr (0.71-5.98) and Pb (0.90-3.90) had high Igeo compared to other metals in sediment samples. Pb showed the highest ecological risk, followed by Cd, Co, Ni, Cu, Cr, As, and Zn. The maximum potential ecological risk index was observed at site G8. The hazard index (HI) value for water (0.08-0.89) and sediment (0.02-0.29) intake by adults remained within the acceptable limits, except at sites G8 (1.27) and G9 (1.34) for water intake. However, for children, the HI value was above the acceptable limit for water intake at sites G4 to G13 and for sediment at site G8. Among the studied compounds, metformin, triclosan, triclocarban, diclofenac, and methylparaben were the most abundant compounds present in the Ganga River. PPCPs and EDCs detected in the range of n.d. to 5850.04 ng/L and n.d. to 1080.41 ng/g in water and sediment samples, respectively. The environmental risk assessment identifies the maximum ecological risk in water exhibited by triclocarban followed by 17α-ethinylestradiol (EE2), diclofenac, and triclosan, while in sediment, the maximum ecological risk exhibited by triclocarban, followed by EE2, 17 β-estradiol (E2), triclosan, and diclofenac. However, none of the compounds showed human health risk, except for EE2, E2, and atenolol.
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Affiliation(s)
- Deepak Kumar Prasad
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, 110016, India
| | - Rishabh Shukla
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, 110016, India
| | - Shaikh Ziauddin Ahammad
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, 110016, India.
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Zeb M, Khan K, Younas M, Farooqi A, Cao X, Kavil YN, Alelyani SS, Alkasbi MM, Al-Sehemi AG. A review of heavy metals pollution in riverine sediment from various Asian and European countries: Distribution, sources, and environmental risk. MARINE POLLUTION BULLETIN 2024; 206:116775. [PMID: 39121593 DOI: 10.1016/j.marpolbul.2024.116775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 06/30/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024]
Abstract
Riverine sediments are important reservoirs of heavy metals, representing both historical and contemporary anthropogenic activity within the watershed. This review has been conducted to examine the distribution of heavy metals in the surface sediment of 52 riverine systems from various Asian and European countries, as well as to determine their sources and environmental risks. The results revealed significant variability in heavy metal contamination in the world's riverine systems, with certain hotspots exhibiting concentrations that exceeded the permissible limits set by environmental quality standards. Among the studied countries, India has the highest levels of chromium (Cr), cobalt (Co), manganese (Mn), nickel (Ni), zinc (Zn), cadmium (Cd), copper (Cu), and lead (Pb) contamination in its riverine systems, followed by Iran > Turkey > Spain > Vietnam > Pakistan > Malaysia > Taiwan > China > Nigeria > Bangladesh > Japan. Heavy metal pollution in the world's riverine systems was quantified using pollution evaluation indices. The Contamination Factor (CF) revealed moderate contamination (1 ≤ CF < 3) throughout the geological units, with the exception of Pb, Cd, and Cu. The Contamination Degree (CD) classifies the contamination level into different categories: Low degree of contamination (CD < 6), moderate degree of contamination (6 ≤ CD < 12), considerable degree of contamination (12 ≤ CD < 24), and a very high degree of contamination (CD ≥ 24), while the Pollution Load Index (PLI) estimate the total amount of heavy metal pollution in riverine sediments, with Turkey having the highest PLI value of 6.512, followed by Spain, Vietnam, Taiwan, Pakistan, Bangladesh, China, India, Japan, Malaysia, Iran, and Nigeria. In applied multivariate statistics, correlation analysis determined the fate and distribution of heavy metals in riverine systems, while Principal Component Analysis (PCA) elucidated the potential sources, including industrial, agrochemical, mining, and domestic wastewater discharges, lubricant leakages, multiple geogenic inputs, erosion of mafic and ultramafic rocks, and minimal atmospheric deposition. As per Potential Ecological Risk Index (PERI) perspectives, Vietnam, Spain, and Turkey have the highest ecological risk, followed by Nigeria > Pakistan > Bangladesh > China > Taiwan > Japan and Iron, while the potential risks of ∑non-carcinogenic Pb, Cr, Ni, Cu, Cd, Co, Zn, and Mn for exposed human children and adults through ingestion and dermal contact were significantly influenced between acceptable to high risk, necessitating special attention from pollution control agencies.
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Affiliation(s)
- Maria Zeb
- Department of Environmental and Conservation Sciences, University of Swat, Swat 19120, Pakistan
| | - Kifayatullah Khan
- Department of Environmental and Conservation Sciences, University of Swat, Swat 19120, Pakistan; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Muhammad Younas
- Department of Environmental and Conservation Sciences, University of Swat, Swat 19120, Pakistan
| | - Abida Farooqi
- Department of Environmental Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Xianghui Cao
- China Institute of Geo-Environment Monitoring, Beijing, 100081, China
| | - Yasar N Kavil
- Marine Chemistry Department, Faculty of Marine Sciences, King Abdulaziz University, P.O. Box 80207, Jeddah 21589, Saudi Arabia; Renewable Environment Company for Environmental Consulting (REC), Jeddah, 21589, Saudi Arabia
| | - Saeed Saad Alelyani
- Marine Chemistry Department, Faculty of Marine Sciences, King Abdulaziz University, P.O. Box 80207, Jeddah 21589, Saudi Arabia; Renewable Environment Company for Environmental Consulting (REC), Jeddah, 21589, Saudi Arabia
| | - Mohammed M Alkasbi
- Department of Chemical and Waste Management, Environment Authority, P.O. Box 323, Muscat, P.C.:100, Sultanate of Oman
| | - Abdullah G Al-Sehemi
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, 61413, Saudi Arabia; Department of Chemistry, College of Science, King Khalid University, Abha, 61413, Saudi Arabia
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Cieśla M, Gruca-Rokosz R. Fate of heavy metals in ecosystems of dam reservoirs: Transport, distribution and significance of the origin of organic matter. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 361:124811. [PMID: 39191318 DOI: 10.1016/j.envpol.2024.124811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 08/06/2024] [Accepted: 08/22/2024] [Indexed: 08/29/2024]
Abstract
In this article, a multivariate analysis of the parameters determining the transport and fate of selected heavy metals in the water - bottom sediment interface was carried out. The studies were carried out in the summer season of 2019 at Nielisz Reservoir (southeastern Poland, Lublin Voivodeship). Finally, a previously unknown factor related to the quality of organic matter was identified. Autochthonous organic matter was shown to promote the accumulation of the studied heavy metals. To date, the significance of the origin of organic matter in the context of the transport and fate of heavy metals in retention reservoirs has rarely been reported in the scientific literature. More than that, this factor was not considered an important component in the process of heavy metal deposition in bottom sediments. However, it turns out that not only the quantity of organic matter, but also its quality plays an important role in the circulation of heavy metals in retention reservoir ecosystems. It was found that autochthonous organic matter promotes the accumulation of the studied heavy metals. It can be assumed that, in a sense, it plays the role of a catenary ("hub") controlling the fate of heavy metals in the water-sediment system. It has also been conjectured that, in a sense, OMS may reflect the potential for heavy metal assimilation by aquatic vascular plants (mainly of the C3 group). Plants with a photosynthetic pathway similar to the C3 group generally have a much lower enrichment in the 13C isotope (δ13C from -38‰ to -22‰). In our case, the lowest δ13C-TOCS value was -24.05‰, and the average for the whole reservoir was -21.53‰. In addition, it was observed that quantitative changes in the isotopic composition of total organic carbon δ13C-TOCS, corresponded with changes in the content of the heavy metals studied in entrapped sediments.
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Affiliation(s)
- Maksymilian Cieśla
- Department of Environmental and Chemistry Engineering, Faculty of Civil and Environmental Engineering and Architecture, Rzeszów University of Technology, Al. Powstańców Warszawy 6, 35-959, Rzeszów, Poland.
| | - Renata Gruca-Rokosz
- Department of Environmental and Chemistry Engineering, Faculty of Civil and Environmental Engineering and Architecture, Rzeszów University of Technology, Al. Powstańców Warszawy 6, 35-959, Rzeszów, Poland
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Mu D, Meng J, Wang S, Xiao S, Wang H, Sun X, Wu P. Source apportionment, source-specific health risks, and control factors of heavy metals in water bodies of a typical karst basin in southwestern China. PLoS One 2024; 19:e0309142. [PMID: 39178302 PMCID: PMC11343453 DOI: 10.1371/journal.pone.0309142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 08/05/2024] [Indexed: 08/25/2024] Open
Abstract
Studying the apportionment of source-specific health risks and control factors for heavy metal pollution in karst regions is crucial for prevention and management. A typical karst basin was chosen in this study to investigate the pollution characteristics of heavy metals, source-specific health risks, and control factors. The results indicate that during the rainy season, As, Cd, and Pb, as well as As during the dry season, were the primary elements responsible for water pollution in the watershed. Comparative analyses showed that the absolute principal component-multiple linear regression (APCS-MLR) model better identifies and quantifies the sources of heavy metals in karst basin waters. The analysis of health risks revealed that during the dry season, heavy metals in the basin posed a moderate cancer risk to adults (10-4 < total cancer risk (TCR) < 10-3), whereas during the rainy season, these heavy metals posed a non-cancer risk (total hazard index (THI) > 1) and a moderate to high cancer risk (10-4 < TCR < 10-2). The APCS-MLR model combined with the health risk analysis showed that Industrial waste discharge sources are the main contributors to the health of basin residents (29.39%-52.57%), making dry season As a non-cancer risk for basin residents, as well as rainy season As and Cd a non-cancer risk and a high cancer risk for basin residents. Therefore, reasonable planning for upstream industrial production should be developed, and priority should be given to monitoring and treating As and Cd pollution in water. Analyses also showed that input pathways, dilution effects, and hydrochemical characteristics may influence the spatial and temporal variability of heavy metals in the basin. The results provide essential information and significant reference for prioritising and managing the health risks associated with heavy metal pollution in water bodies in karst areas.
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Affiliation(s)
- Dijin Mu
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou, China
| | - Jianan Meng
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou, China
| | - Sangju Wang
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou, China
| | - Shizhen Xiao
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou, China
- College of Resources and Environmental Engineering, Guizhou University, Guiyang, China
| | - Hao Wang
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou, China
| | - Xiangxuan Sun
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou, China
| | - Pan Wu
- College of Resources and Environmental Engineering, Guizhou University, Guiyang, China
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Lee DH, Lee SI, Kang JH. Machine learning approaches to identify spatial factors and their influential distances for heavy metal contamination in downstream sediment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174755. [PMID: 39025146 DOI: 10.1016/j.scitotenv.2024.174755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/30/2024] [Accepted: 07/11/2024] [Indexed: 07/20/2024]
Abstract
Contaminated sediments can adversely affect aquatic ecosystems, making the identification and management of pollutant sources extremely important. In this study, we proposed machine learning approaches to reveal sources and their influential distances for heavy metal contamination of downstream sediment. We employed classification models with artificial neural networks (ANN) and random forest (RF), respectively, to predict the heavy metal contamination of stream sediments using upland environmental variables as input features. A comprehensive Korean nationwide monitoring database containing 1546 datasets was used to train and test the models. These datasets encompass the concentrations of eight heavy metals (Ar, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) in sediment samples collected from 160 stream sites across the nation from 2014 to 2018. Model's prediction accuracy was evaluated for input feature sets from different influential upland areas defined by different buffer radii and the watershed boundary for each site. Although both ANN and RF models were unsatisfactory in predicting heavy metal quartile classes, RF-classifiers with adaptive synthetic oversampling (ORFC) showed reasonably well-predicted classes of the sediment samples based on the Canada's Sediment Quality Guidelines (accuracy ranged from 0.67 to 0.94). The best influential distance (i.e., buffer radius) was determined for each heavy metal based on the accuracy of ORFC. The results indicated that Cd, Cu and Pb had shorter influential distances (1.5-2.0 km) than the other heavy metals with little difference in accuracy for different influential distances. Feature importance calculation revealed that upland soil contamination was the primary factor for Hg and Ni, while residential areas and roads were significant features associated with Pb and Zn contamination. This approach offers information on major contamination sources and their influential areas to be prioritized for managing contaminated stream sediments.
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Affiliation(s)
- Dong Hoon Lee
- Department of Civil and Environmental Engineering, Dongguk University-Seoul, Seoul 04620, Republic of Korea
| | - Sang-Il Lee
- Department of Civil and Environmental Engineering, Dongguk University-Seoul, Seoul 04620, Republic of Korea
| | - Joo-Hyon Kang
- Department of Civil and Environmental Engineering, Dongguk University-Seoul, Seoul 04620, Republic of Korea.
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Zhao S, Zhao Y, Cui Z, Zhang H, Zhang J. Effect of pH, Temperature, and Salinity Levels on Heavy Metal Fraction in Lake Sediments. TOXICS 2024; 12:494. [PMID: 39058146 PMCID: PMC11280739 DOI: 10.3390/toxics12070494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/27/2024] [Accepted: 07/02/2024] [Indexed: 07/28/2024]
Abstract
Heavy metals (HMs) in aquatic environments are characterized by high toxicity, a propensity for bioaccumulation, and non-degradability, and pose significant risks to biological communities. Previous studies of HMs in lakes have shown that the physical and chemical characteristics of the lake water may control both the migration of HMs in the sediments and the concentration of heavy metals in the lake water. In fact, the change in aquatic environments changes the heavy metal fraction in the sediment, which controls the release of HMs. In this paper, we investigated the effects of the pH, temperature, and salinity levels of overlying water on the chemical fraction of Cu and Zn in Wuliangsuhai Lake surface sediments. The results show that lower water pH and higher water salinity and temperature could increase Cu and Zn release from the sediment. An increase in pH led to changes in the speciation of solid fractions of Zn, namely increases in the residual fraction and decreases in the organic matter and sulfide, whereas acid-extractable and Fe-Mn oxide fractions remained largely the same. Increases in temperature and salinity led to opposite changes in the speciation of solid fractions, namely decreases in the residual fraction and increases in the organic matter and sulfide and Fe-Mn oxide fractions, whereas acid-extractable fractions remained largely the same. The effect of pH, temperature, and salinity on Cu fractions in the solids was much smaller. According to the ratio of the secondary phase to the primary phase (RSP), acidic, high-temperature, and high-salt conditions increase the release risks of Zn. Changes in water temperature have the greatest influence on the risk of Zn and Cu release from sediments, followed by the influence of salinity changes.
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Affiliation(s)
- Shengnan Zhao
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (Z.C.); (H.Z.); (J.Z.)
- Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China
- State Gauge and Research Station of Wetland Ecosystem, Wuliangsuhai Lake, Inner Mongolia, Bayan Nur 014404, China
| | - Yunxi Zhao
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (Z.C.); (H.Z.); (J.Z.)
- Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China
- State Gauge and Research Station of Wetland Ecosystem, Wuliangsuhai Lake, Inner Mongolia, Bayan Nur 014404, China
| | - Zhimou Cui
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (Z.C.); (H.Z.); (J.Z.)
- Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China
- State Gauge and Research Station of Wetland Ecosystem, Wuliangsuhai Lake, Inner Mongolia, Bayan Nur 014404, China
| | - Hui Zhang
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (Z.C.); (H.Z.); (J.Z.)
- Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China
- State Gauge and Research Station of Wetland Ecosystem, Wuliangsuhai Lake, Inner Mongolia, Bayan Nur 014404, China
| | - Jinda Zhang
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (Z.C.); (H.Z.); (J.Z.)
- Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China
- State Gauge and Research Station of Wetland Ecosystem, Wuliangsuhai Lake, Inner Mongolia, Bayan Nur 014404, China
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Cai N, Wang X, Zhu H, Hu Y, Zhang X, Wang L. Isotopic insights and integrated analysis for heavy metal levels, ecological risks, and source apportionment in river sediments of the Qinghai-Tibet Plateau. ENVIRONMENTAL RESEARCH 2024; 251:118626. [PMID: 38467358 DOI: 10.1016/j.envres.2024.118626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/02/2024] [Accepted: 03/04/2024] [Indexed: 03/13/2024]
Abstract
The research was carried out to examine the pollution characteristics, ecological risk, and origins of seven heavy metals (Hg, As, Pb, Cu, Cd, Zn, and Ni) in 51 sediment samples gathered from 8 rivers located on the Qinghai-Tibet Plateau (QTP) in China. The contents of Hg and Cd were 5.0 and 1.1 times higher than their background values, respectively. The mean levels of other measured heavy metals were below those found naturally in the local soil. The enrichment factor showed that the study area exhibited significantly enriched Hg with 70.6% sampling sites. The Cd contents at 19.6% of sampling sites were moderately enriched. The other sampling sites were at a less enriched level. The sediments of all the rivers had a medium level of potential ecological risk. Hg was the major ecological risk factor in all sampling sites, followed by Cd. The findings from the positive matrix factorization (PMF) analysis shown agricultural activities, industrial activities, traffic emissions, and parent material were the major sources. The upper, middle, and low reaches of the Quanji river had different Hg isotope compositions, while sediments near the middle reaches were similar to the δ202Hg of the industrial source. At the upstream sampling sites, the Hg isotope content was very close to the background level. The results of this research can establish a strong scientific sound to improve the safety of the natural circumstances of rivers on the QTP.
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Affiliation(s)
- Na Cai
- Key Laboratory of Green and High-end Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China; Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Xining, 810008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xueping Wang
- Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang'an University, Xi'an, 710054, China; School of Water and Environment, Chang'an University, Xi'an, 710054, China
| | - Haixia Zhu
- Key Laboratory of Green and High-end Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China; Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Xining, 810008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yan Hu
- Qaidam Comprehensive Geological and Mineral Exploration Institute of Qinghai Province, Golmud, 816099, China; Qinghai Provincial Key Laboratory of Exploration and Research of Salt Lake Resources in Qaidam Basin, Golmud, 816099, China
| | - Xiying Zhang
- Key Laboratory of Green and High-end Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China; Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Xining, 810008, China.
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
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Selvaraj V, Pandu P, Saradhambal SR, Sankarappan R, Anandarao R. An appraisal of trace element concentration and environmental risk of sediments: a baseline study of sediments from Arasalar River Estuary, Tamil Nadu, India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:41446-41461. [PMID: 37563508 DOI: 10.1007/s11356-023-28552-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 06/28/2023] [Indexed: 08/12/2023]
Abstract
A total of 21 surface sediment samples collected from Arasalar River are subjected to sediment texture (sand-silt-clay ratio), trace elements, organic matter, and CaCO3 studies to understand the accumulation dynamics of sediments. To assess the impact of metal pollution in estuarine sediments, the essential parameters should be done by checking the sediment characteristics, spatial distribution of heavy metal sources, sediment dynamics, and geochemical analysis. To evaluate the contamination level of metal pollution, a basic standard reference is required to decipher the values ranging from natural to anthropogenic contribution. From this research analysis, it is observed that the study area predominantly comprises silty sand and sand silty nature. The calcium carbonate content in the sediment is found to be proportional to the presence of shell fragments, whereas the organic matter (OM) is derived from riverine and coastal input which acts as a primary source. The obtained results confessed the average contents (mg/g) for the following selected eight elements in the order of Fe (35249-49068) > Mn (286-519) > Ni (107-279) > Cu (78.30-155.70) > Cr (50-99) > Zn (38.70-91.90) > Pb (39.90-62.40), and Co (12.6-29.1) by using an atomic absorption spectrophotometer (AAS) are utilized for this analysis. Multivariate analysis of heavy metals affirms geogenic sources (weathering of parent rocks) for Fe, Mn, Cr, Co, and Zn, whereas Cu, Ni, and Pb originated from anthropogenic activities (urban and industrial activities). The pollution load index, sediment pollution index, Igeo index, and PERI are categorized as under polluted, low to moderate polluted, and low potential environmental risk variety. Constant inspection and guidance are needed to prevent effluences from various agriculture and industrial activities in the nearby regions. The findings from this research may support and help the government to follow the suitable remediation on the better management of river and coastal areas.
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Affiliation(s)
- Venkatesan Selvaraj
- Department of Earth Sciences, Annamalai University, Annamalai Nagar, Tamil Nadu, 608002, India.
| | - Parthasarathy Pandu
- Department of Applied Geology, University of Madras, Guindy Campus, Chennai, Tamil Nadu, 600025, India
| | | | - Rajmohan Sankarappan
- Department of Geology, Alagappa Government Arts College, Karaikudi, Tamil Nadu, 630003, India
| | - Rajkumar Anandarao
- Department of Geology, University of Madras, Chennai, Tamil Nadu, 600025, India
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Si W, Xu J, Liu G, Wang G, Zhang M. Distribution, source identification, water quality, and risk assessment of trace elements in the surface-groundwater-sediments multifunctional system in Guohe River Basin. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 361:121266. [PMID: 38815423 DOI: 10.1016/j.jenvman.2024.121266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/24/2024] [Accepted: 05/26/2024] [Indexed: 06/01/2024]
Abstract
Within the Huaihe River Basin, Guohe River, as its second-largest tributary, serves as a critical water supply source. Recent industrial and agricultural advancements have led to increased trace element contamination, adversely impacting the water quality within Guohe River Basin. Therefore, this study aimed to investigate the distribution characteristics, sources, water quality and risk assessment of trace elements in the surface water, groundwater, and sediments across the basin. The results showed that the spatial distribution of trace elements in the surface water and groundwater of Guohe River Basin was that most of the high concentrations appeared in Qiaocheng District of Bozhou City, the mean concentration of Fe in Guohe River sediments was the highest, the mean concentration of Sb was the lowest. The PMF source analysis results showed that the main source of trace elements in Guohe River Basin was natural geological processes, followed by human activities. The sodium adsorption ratio (SAR) indicated that the surface water samples of Guohe River in two seasons had high sodium and salinity hazards. The water quality index (WQI) showed that surface water and groundwater samples in the northwestern of Guohe River Basin had poor water quality. The results of the risk assessment showed that As and Mn posed great ecological risks to surface water and groundwater, respectively, and that F- was the pollutant with the most potential health risk hazard in the basin. The Geo-accumulation index (Igeo) results showed that Cd, Se and As should be taken seriously as the main contaminants of the sediments in Guohe River Basin. KEYWARDS: Trace elements; Source analysis; Sodium adsorption ratio; Water quality index; Risk assessment; Geo-accumulation index.
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Affiliation(s)
- Wen Si
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Jinzhao Xu
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Guijian Liu
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China.
| | - Guanyu Wang
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Mingzhen Zhang
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China; Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
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15
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Yaşar Korkanç S, Korkanç M, Amiri AF. Effects of land use/cover change on heavy metal distribution of soils in wetlands and ecological risk assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171603. [PMID: 38461996 DOI: 10.1016/j.scitotenv.2024.171603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/15/2024] [Accepted: 03/07/2024] [Indexed: 03/12/2024]
Abstract
This study aimed to determine the impact of land use/cover changes on the heavy metal content in the Sultan Marshland and surrounding area and assess the pollution status. 54 topsoil samples (0-20 cm) were collected from the Rangeland, Farmland, Scrubland, Southern Marshland, Northern Marshland, and Dry Lake areas. The heavy metal contents of the soil samples (Cr, Pb, Fe, Zn, Cu, Co, Mn, Cd, Mo, As, and Ni) were determined using ICP-MS and ICP-OES devices. The impact of land use/cover change on soil heavy metal content was evaluated using variance analysis, while differences between groups were identified using the Duncan test. Principal Component Analysis (PCA) was conducted to identify potential sources of heavy metals. The contamination status of the soils was evaluated based on land use/cover using the Contamination Factor (Cf), Pollution Load Index (PLI), Ecological Risk Factor (Er), and Potential Ecological Risk Index (PERI). Changes in land use/cover around the Sultan Marshlands affected heavy metal distribution of the soils except for Cd. Among all land use/cover types, Fe concentration was the highest in the soils, while Cd concentration was the lowest. Soils in Southern Marshland exhibited higher average concentrations of Cr, Fe, Zn, Co, Cu, and Ni compared to other land uses/covers. Farmlands and rangelands had higher concentrations of Cd, As and Pb. Land use/cover was ranked based on the total heavy metal load in the following order in terms of average values: Southern Marshland > Scrubland > Farmland > Rangeland > Northern Marshland > Dry Lake. According to Cf, the soils in the Dry Lake were exposed to considerable levels of As contamination. Based on PLI, half of the soil sampling points in the Southern Marshland soils showed a degradation in environmental quality. Er indicated that all land uses moderately polluted with Cd. According to the average PERI, all soils under different land use/cover types were categorized as having a low ecological risk. It was believed that heavy metals originated from both natural and human activities. To ensure the sustainability of the ecosystem and to mitigate the risk of heavy metal pollution entering the food chain, it is recommended to manage farming and mining activities and land use habits.
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Affiliation(s)
- Selma Yaşar Korkanç
- Niğde Ömer Halisdemir University, Engineering Faculty, Department of Environmental Engineering, Niğde, Turkiye.
| | - Mustafa Korkanç
- Niğde Ömer Halisdemir University, Engineering Faculty, Department of Geological Engineering, Niğde, Turkiye; Disaster Education and Management Application and Research Center, Niğde Ömer Halisdemir University, 51240, Niğde, Turkey
| | - Ahmad Farid Amiri
- Niğde Ömer Halisdemir University, Graduate School of Natural and Applied Sciences, Niğde, Turkiye
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Liu JL, Yao J, Tang C, Ma B, Liu X, Bashir S, Sunahara G, Duran R. A critical review on bioremediation technologies of metal(loid) tailings: Practice and policy. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 359:121003. [PMID: 38692032 DOI: 10.1016/j.jenvman.2024.121003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/10/2024] [Accepted: 04/21/2024] [Indexed: 05/03/2024]
Abstract
Globally, most high-grade ores have already been exploited. Contemporary mining tends to focus on the extraction of lower-grade ores thereby leaving large stored tailings open to the environment. As a result, current mines have emerged as hotspots for the migration of metal(loid)s and resistance genes, thereby potentially contributing to a looming public health crisis. Therefore, the management and remediation of tailings are the most challenging issues in environmental ecology. Bioremediation, a cost-effective solution for the treatment of multi-element mixed pollution (co-contamination), shows promise for the restoration of mine tailings. This review focuses on the bioremediation technologies developed to untangle the issues of non-ferrous metal mine tailings. These technologies address the environmental risks of multi-element exposure to the ecosystem and human health risks. It provides a review and comparison of current bioremediation technologies used to mineralize metal(loid)s. The role of plant-microorganisms and their mechanisms in the remediation of tailings are also discussed. The importance of "treating waste with wastes" is crucial for advancing bioremediation technologies. This approach underscores the potential for waste materials to contribute to environmental cleanup processes. The concept of a circular economy is pertinent in this context, emphasizing recycling and reuse. There's an immediate need for international collaboration. Collaboration is needed in policy-making, funding, and data accessibility. Sharing data is essential for the growth of bioremediation globally.
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Affiliation(s)
- Jian-Li Liu
- School of Water Resources and Environment and Research Center of Environmental Science and Engineering, Sino-Hungarian Joint Laboratory of Environmental Science and Health, Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China.
| | - Jun Yao
- School of Water Resources and Environment and Research Center of Environmental Science and Engineering, Sino-Hungarian Joint Laboratory of Environmental Science and Health, Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China
| | - Chuiyun Tang
- School of Water Resources and Environment and Research Center of Environmental Science and Engineering, Sino-Hungarian Joint Laboratory of Environmental Science and Health, Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China
| | - Bo Ma
- School of Water Resources and Environment and Research Center of Environmental Science and Engineering, Sino-Hungarian Joint Laboratory of Environmental Science and Health, Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China
| | - Xingyu Liu
- School of Water Resources and Environment and Research Center of Environmental Science and Engineering, Sino-Hungarian Joint Laboratory of Environmental Science and Health, Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China
| | - Safdar Bashir
- Department of Soil and Water Systems, University of Idaho, Moscow, ID, 83844, USA
| | - Geoffrey Sunahara
- School of Water Resources and Environment and Research Center of Environmental Science and Engineering, Sino-Hungarian Joint Laboratory of Environmental Science and Health, Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China; Department of Natural Resource Sciences, McGill University, Montreal, Quebec, H9X3V9, Canada
| | - Robert Duran
- School of Water Resources and Environment and Research Center of Environmental Science and Engineering, Sino-Hungarian Joint Laboratory of Environmental Science and Health, Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China; Université de Pau et des Pays de l'Adour/E2S UPPA, IPREM UMR CNRS 5254, BP 1155, 64013, Pau Cedex, France
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17
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He L, Chen G, Wang X, Shen J, Zhang H, Lin Y, Shen Y, Lang F, Gong C. Pollution Characteristics and Risk Assessment of Heavy Metals in the Sediments of the Inflow Rivers of Dianchi Lake, China. TOXICS 2024; 12:322. [PMID: 38787101 PMCID: PMC11125836 DOI: 10.3390/toxics12050322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024]
Abstract
To explore the contamination status and identify the source of the heavy metals in the sediments in the major inflow rivers of Dianchi Lake in China, sediment samples were collected and analyzed. Specifically, the distribution, source, water quality, and health risk assessment of the heavy metals were analyzed using correlation analysis (CA), principal component analysis (PCA), the heavy metal contamination factor (Cf), the pollution load index (PLI), and the potential ecological risk index (PERI). Additionally, the chemical fractions were analyzed for mobility characteristics. The results indicate that the average concentration of the heavy metals in the sediment ranked in the descending order of Zn > Cr > Cu > Pb > As > Ni > Cd > Hg, and most of the elements existed in less-mobile forms. The Cfwas in the order of Hg > Zn > Cd > As > Pb > Cr > Ni; the accumulation of Hg, Zn, Cd, and As was obvious. Although the spatial variability of the heavy metal contents was pronounced, the synthetical evaluation index of the PLI and PERI both reached a high pollution level. The PCA and CA results indicate that industrial, transportation, and agricultural emissions were the dominant factors causing heavy metal pollution. These results provide important data for improving water resource management efficiency and heavy metal pollution prevention in Dianchi Lake.
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Affiliation(s)
- Liwei He
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Guangye Chen
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Xinze Wang
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Jian Shen
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Hongjiao Zhang
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Yuanyuan Lin
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Yang Shen
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Feiyan Lang
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Chenglei Gong
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
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Li R, Yao J, Liu J, Sunahara G, Duran R, Xi B, El-Saadani Z. Bioindicator responses to extreme conditions: Insights into pH and bioavailable metals under acidic metal environments. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 356:120550. [PMID: 38537469 DOI: 10.1016/j.jenvman.2024.120550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 02/22/2024] [Accepted: 03/04/2024] [Indexed: 04/07/2024]
Abstract
Acid mine drainage (AMD) caused environmental risks from heavy metal pollution, requiring treatment methods such as chemical precipitation and biological treatment. Monitoring and adapting treatment processes was crucial for success, but cost-effective pollution monitoring methods were lacking. Using bioindicators measured through 16S rRNA was a promising method to assess environmental pollution. This study evaluated the effects of AMD on ecological health using the ecological risk index (RI) and the Risk Assessment Code (RAC) indices. Additionally, we also examined how acidic metal stress affected the diversity of bacteria and fungi, as well as their networks. Bioindicators were identified using linear discriminant analysis effect size (LEfSe), Partial least squares regression (PLS-R), and Spearman analyses. The study found that Cd, Cu, Pb, and As pose potential ecological risks in that order. Fungal diversity decreased by 44.88% in AMD-affected areas, more than the 33.61% decrease in bacterial diversity. Microbial diversity was positively correlated with pH (r = 0.88, p = 0.04) and negatively correlated with bioavailable metal concentrations (r = -0.59, p = 0.05). Similarly, microbial diversity was negatively correlated with bioavailable metal concentrations (bio_Cu, bio_Pb, bio_Cd) (r = 0.79, p = 0.03). Acidiferrobacter and Thermoplasmataceae were prevalent in acidic metal environments, while Puia and Chitinophagaceae were identified as biomarker species in the control area (LDA>4). Acidiferrobacter and Thermoplasmataceae were found to be pH-tolerant bioindicators with high reliability (r = 1, P < 0.05, BW > 0.1) through PLS-R and Spearman analysis. Conversely, Puia and Chitinophagaceae were pH-sensitive bioindicators, while Teratosphaeriaceae was a potential bioindicator for Cu-Zn-Cd metal pollution. This study identified bioindicator species for acid and metal pollution in AMD habitats. This study outlined the focus of biological monitoring in AMD acidic stress environments, including extreme pH, heavy metal pollutants, and indicator species. It also provided essential information for heavy metal bioremediation, such as the role of omics and the effects of organic matter on metal bioavailability.
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Affiliation(s)
- Ruofei Li
- School of Water Resource and Environment, Research Center of Environmental Science and Engineering, MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences (Beijing), Beijing, 100083, China
| | - Jun Yao
- School of Water Resource and Environment, Research Center of Environmental Science and Engineering, MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences (Beijing), Beijing, 100083, China.
| | - Jianli Liu
- School of Water Resource and Environment, Research Center of Environmental Science and Engineering, MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences (Beijing), Beijing, 100083, China
| | - Geoffrey Sunahara
- School of Water Resource and Environment, Research Center of Environmental Science and Engineering, MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences (Beijing), Beijing, 100083, China; Department of Natural Resource Sciences, McGill University, 21111 Lakeshore Drive, Ste-Anne-de-Bellevue, Quebec, H9X 3V9, Canada
| | - Robert Duran
- School of Water Resource and Environment, Research Center of Environmental Science and Engineering, MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences (Beijing), Beijing, 100083, China; Université de Pau et des Pays de l'Adour, UPPA/E2S, IPREM CNRS, 5254, Pau, France
| | - Beidou Xi
- State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Zozo El-Saadani
- Geology Department, Faculty of Science, Zagazig University, Zagazig, 44519, Egypt
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Marufi N, Oliveri Conti G, Ahmadinejad P, Ferrante M, Mohammadi AA. Carcinogenic and non-carcinogenic human health risk assessments of heavy metals contamination in drinking water supplies in Iran: a systematic review. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 39:91-100. [PMID: 36181734 DOI: 10.1515/reveh-2022-0060] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
The contamination of water due to heavy metals (HMs) is a big concern for humankind; particularly in developing countries. This research is a systematic review, conducted by searching google scholar, Web of Science, Science Direct, PubMed, Springer, and Scopus databases for related published papers from 2010 to July 2021, resulting in including 40 articles. Among the analyzed HMs in the presented review, the average content of Cr, Pb, Ba, Al, As, Zn, and Cd exceeded the permissible limits suggested by the World Health Organization (WHO) and 1,053 Iranian standards. Also, the rank order of Hazard Quotient (HQ) of HMs was defined as Cd>As>Cr>Pb>Li for children which means Cd has the highest non-carcinogenic risk and Li has the least. This verifies to the current order As>Cr>Pb>Fe=Zn=Cu>Cd for adults. The corresponded values of HQ and Hazard Index (HI) in most cities and villages were investigated and the results indicated a lower than 1 value, which means consumers are not at non-carcinogenic risk (HQ). Carcinogenic risk (CR) of As in the adult and children consumers in most of the samples (58.82% of samples for both groups) were investigated too, and it was more than>1.00E-04 value, which determines that consumers are at significant CR.
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Affiliation(s)
- Nilufar Marufi
- Student Research Committee, Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Gea Oliveri Conti
- Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy
| | - Parvin Ahmadinejad
- Department of Occupational Health and Safety Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Margherita Ferrante
- Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy
| | - Ali Akbar Mohammadi
- Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
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20
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Mahmudiono T, Hoseinvandtabar S, Mehri F, Borzoei M, Heidarinejad Z, Amin Nakoozadeh M, Daraei H, Atamaleki A, Fakhri Y, Mousavi Khaneghah A. Potentially toxic elements (PTEs) in coastal sediments of Bandar Abbas city, North of Persian Gulf: An ecological risk assessment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:1255-1269. [PMID: 36731517 DOI: 10.1080/09603123.2023.2173154] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
The concentration of potentially toxic elements (PTEs; Lead (Pb), Nickel (Ni), and Cadmium (Cd) Pb, Ni, and Cd), using flame atomic absorption spectrometry (FAAS) was measured in fifty surface coastal sediment samples collected from 5 points coastal sediment of Bandar Abbas city, Iran besides the potential ecological risk index (RI) estimated the environmental health risk. The rank order of PTEs was Pb (52.090 ± 4.113 mg/kg dry weight) > Ni (34.940 ± 8.344 mg/kg dry weight) > Cd (2.944 ± 0.013 mg/kg dry weight). RI due to PTEs in sediments for A, B, C, D, and E points were 187.655, 190.542, 191.079, 189.496, and 192.053, respectively. RI for sampling points A to E was at moderate risk (150 ≤ RI < 300). Therefore, it is recommended to carry out control programs to reduce the amount of PTEs in the coastal sediment of the Persian Gulf.
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Affiliation(s)
- Trias Mahmudiono
- Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
| | - Somayeh Hoseinvandtabar
- Student Research Committee, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereshteh Mehri
- Nutrition Health Research Center, Center of Excellence for Occupational Health, Research Center for Health Sciences, School of Public Health, Hamadan University of Medical Sciences. Hamadan, Iran
| | - Mohammad Borzoei
- Department of Occupational Health Engineering, Faculty of Health, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Zoha Heidarinejad
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Amin Nakoozadeh
- Department of Occupational Health Engineering, Faculty of Health, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Hasti Daraei
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran
- Department of Environmental Health Engineering, Faculty of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Ali Atamaleki
- Department of Environmental Health Engineering, School of Public Health, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Yadolah Fakhri
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Amin Mousavi Khaneghah
- Department of Fruit and Vegetable Product Technology, Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology - State Research Institute, Warsaw, Poland
- Department of Technology of Chemistry, Azerbaijan State Oil and Industry University, Baku, Azerbaijan
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21
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Zhang X, Sun T, Li F, Ji C, Wu H. Risk assessment of trace metals and polycyclic aromatic hydrocarbons in seawater of typical bays in the Bohai Sea. MARINE POLLUTION BULLETIN 2024; 200:116030. [PMID: 38266481 DOI: 10.1016/j.marpolbul.2024.116030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/26/2024]
Abstract
The ecological risks of trace metals (Cu, Zn, As, Cd, Pb, and Hg) and PAHs in seawater from three typical bays of the Bohai Sea (the Liaodong Bay, Bohai Bay, and Laizhou Bay) were comprehensively assessed by recompiling 637 sites. Results highlighted that scrutiny should be given to the ecological risks of Cu (3.80 μg/L) in the Bohai Bay and Hg (0.23 μg/L) in the Laizhou Bay. Conversely, the Liaodong Bay exhibited negligible ecological risks related to trace metals. The risks of ΣPAHs in the Liaodong Bay, Bohai Bay, and Laizhou Bay were moderate, with mean concentrations of 368.16 ng/L, 731.93 ng/L, and 187.58 ng/L, respectively. The source allocation of trace metals and PAHs required consideration of spatial variability and anthropogenic factors, which greatly affected the distribution and composition of these pollutants. The combined ecological risks in the Bohai Bay (6.80 %) and Laizhou Bay (5.43 %) deserved more attention.
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Affiliation(s)
- Xiaoyu Zhang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Tao Sun
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Fei Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences (CAS), Qingdao 266071, PR China
| | - Chenglong Ji
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao 266237, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences (CAS), Qingdao 266071, PR China
| | - Huifeng Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; Function Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao 266237, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences (CAS), Qingdao 266071, PR China.
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22
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Li Z, Jiao W, Li R, Yu Z, Song N, Liu J, Zong H, Wang F. Source apportionment and source-specific risk assessment of bioavailable metals in river sediments of an anthropogenically influenced watershed in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169367. [PMID: 38104824 DOI: 10.1016/j.scitotenv.2023.169367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 11/29/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
Integrated source analysis and risk assessment of metals facilitate the development of targeted risk management strategies. However, previous studies usually addressed total concentration rather than bioavailability, and consequently overestimated metal risk, especially natural source-related risk. In this study, a source-specific risk assessment was conducted by integrating the source analysis of bioavailable metals in surface sediments. Moreover, risk assessment was performed using two bioavailability-based indices: the total availability risk index (TARI) and a modified index of mean probable effect concentration quotients (mPEC-Q). A representative river watershed in eastern China was selected as the study area. Findings revealed that the total concentrations of Pb, Cu, Zn, Cr, and Ni in the sediments were 1.4-2.2 times higher than the local soil background values. Using a modified community bureau of reference (BCR) sequential extraction procedure, the dominant fraction for Pb, Cu, Zn, and Cr in the studied area was found to be the residual fraction, constituting 53.63-62.44% of the total concentrations. This suggested that a significant portion of the metals potentially originated from natural sources. Nevertheless, the concentration enrichment ratio (CER) indicated that anthropogenic sources contributed significantly, accounting for 67.84-87.68% of bioavailable metals. The positive matrix factorization (PMF) model further identified three different sources of bioavailable metals, with a descending concentration contribution sequence of industrial sources (37.61%), mixed traffic and natural sources (33.17%), and agricultural sources (29.22%). Both the TARI and mPEC-Q index values indicated that the bioavailable metals generally posed a moderate risk, and Ni was the priority pollutant. Industrial sources contributed the most to the total risk, although the contribution from TARI-based assessment (37.27%) was lower than that from the mPEC-Q assessment (46.43%). This study provides an example of the consideration of metal bioavailability in the context of source-specific risk assessments to develop more reasonable management strategies.
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Affiliation(s)
- Zhi Li
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Wei Jiao
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China.
| | - Ruiping Li
- School of Geography and Tourism, Qufu Normal University, Rizhao 276800, China
| | - Zihan Yu
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Ningning Song
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Jun Liu
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Haiying Zong
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
| | - Fangli Wang
- School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China.
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23
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Liu X, Sheng Y, Liu Q, Li Z. Suspended particulate matter affects the distribution and migration of heavy metals in the Yellow River. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169537. [PMID: 38141984 DOI: 10.1016/j.scitotenv.2023.169537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/06/2023] [Accepted: 12/18/2023] [Indexed: 12/25/2023]
Abstract
Suspended particulate matter (SPM) is an important heavy metal transporter in water. As a well-known high-SPM river, its impact on the distribution and migration of heavy metals in the Yellow River (YR) deserves special attention. In this study, the spatial distributions of heavy metals in surface water and SPM of the YR were investigated. The results indicate that the concentrations (dissolved and particulate phases) and bioavailability (particulate phase) of most heavy metals were higher during the rainy season than during the dry season. A considerable proportion of heavy metals (>70 %) was transported by SPM and fine particles (clay) controlled the pollution status of heavy metals in the YR. This could lead to higher heavy metal concentrations in the SPM midstream and downstream during the rainy season and higher heavy metal concentrations in upstream during the dry season. Heavy metal adsorption experiments showed that specific combination methods (such as binding with carbonate) between Cd and SPM may cause SPM to act as a source of Cd midstream and downstream. This study provides a new perspective on the effects of SPM on heavy metal distribution and migration in the YR.
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Affiliation(s)
- Xiaozhu Liu
- State Environmental Protection Key Laboratory of Land and Sea Ecological Governance and Systematic Regulation, Shandong Academy for Environmental Planning, Jinan, China; CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yanqing Sheng
- State Environmental Protection Key Laboratory of Land and Sea Ecological Governance and Systematic Regulation, Shandong Academy for Environmental Planning, Jinan, China; CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
| | - Qunqun Liu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China
| | - Zhaoran Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China
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24
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Zou Y, Lou S, Zhang Z, Liu S, Zhou X, Zhou F, Radnaeva LD, Nikitina E, Fedorova IV. Predictions of heavy metal concentrations by physiochemical water quality parameters in coastal areas of Yangtze river estuary. MARINE POLLUTION BULLETIN 2024; 199:115951. [PMID: 38150976 DOI: 10.1016/j.marpolbul.2023.115951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/20/2023] [Accepted: 12/15/2023] [Indexed: 12/29/2023]
Abstract
Due to the degradation-resistant and strong toxicity, heavy metals pose a serious threat to the safety of water environment and aquatic ecology. Rapid acquisition and prediction of heavy metal concentrations are of paramount importance for water resource management and environmental preservation. In this study, heavy metal concentrations (Cr, Ni, Cu, Pb, Zn, Cd) and physicochemical parameters of water quality including Temperature (Temp), pH, Oxygen redox potential (ORP), Dissolved oxygen (DO), Electrical conductivity (EC), Electrical resistivity (RES), Total dissolved solids (TDS), Salinity (SAL), Cyanobacteria (BGA-PE), and turbidity (NTU) were measured at seven stations in the Yangtze river estuary. Principal Component Analysis (PCA) and Spearman correlation analysis were employed to analyze the main factors and sources of heavy metals. Results of PCA revealed that the main sources of Cr, Ni, Zn, and Cd were steel industry wastewater, domestic and industrial sewage, whereas shipping and vessel emissions were typically considered sources of Pb and Cu. Spearman correlation analysis identified Temp, pH, ORP, EC, RES, TDS, and SAL as the key physicochemical parameters of water quality, exhibiting the strongest correlation with heavy metal concentrations in sediment and water samples. Based on these results, multiple linear regression as well as non-linear models (SVM and RF) were constructed for predicting heavy metal concentrations. The results showed that the results of the nonlinear model were more suitable for predicting the concentrations of most heavy metals than the linear model, with average R values of the SVM test set and RF test set being 0.83 and 0.90. The RF model showed better applicability for simulating the concentration of heavy metals along the Yangtze river estuary. It was demonstrated that non-linear research methods provided efficient and accurate predictions of heavy metal concentrations in a simple and rapid manner, thereby offering decision-making support for watershed managers.
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Affiliation(s)
- Yuwen Zou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Sha Lou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China.
| | - Zhirui Zhang
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Shuguang Liu
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China
| | - Xiaosheng Zhou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Feng Zhou
- Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
| | - Larisa Dorzhievna Radnaeva
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
| | - Elena Nikitina
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
| | - Irina Viktorovna Fedorova
- Institute of Earth Sciences, Saint Petersburg State University, 199034, 7-9 Universitetskaya Embankment, St Petersburg, Russia
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25
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Zhang J, Yang T, Wang N, Luo X, Li H, Liao Y. Health risk assessment of heavy metals in wild fish and seasonal variation and source identification of heavy metals in sediments: a case study of typical urban river in Xi'an, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:8898-8916. [PMID: 38180666 DOI: 10.1007/s11356-023-31693-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 12/19/2023] [Indexed: 01/06/2024]
Abstract
In order to determine the status of heavy metal pollution in river sediments and wild fish in Xi'an, concentrations of heavy metals (Cr, Ni, Cu, Zn, As, and Pb) were collected and analyzed in sediments and wild fish during dry season (October-November 2020) and wet season (June-July 2021). This study aimed to investigate the spatial and temporal variations of heavy metals in urban rivers of Xi'an, China. Their distribution characteristics and sources as well their pollution levels and health risks were assessed. The findings revealed that influenced by human activities, the heavy metal content in sediments (mg·kg-1 dry weight) in wet season was ranked as follows: Cr (73.09) > Zn (63.73) > Pb (40.31) > Ni (31.52) > Cu (24.86) > As (6.83); in the dry season: Zn (94.07) > Cr (69.59) > Cu (34.24) > Ni (33.60) > Pb (32.87) > As (7.60). Moreover, 32 fish samples from six species indicated an average metal content trend (mg·kg-1 wet weight) of Zn (8.70) > Cr (0.57) > Pb (0.28) > Ni (0.27) > Cu (0.24) > As (0.05). The potential ecological risk indices for sediment heavy metal concentrations in both seasons were well below the thresholds, which indicates that the aquatic environment is in safe level. The analysis of the potential ecological risk of sediment heavy metal concentrations indicates that the aquatic environment is safe for the time being. Based on the estimated daily intake (EDI), target risk quotient (THQ), total target risk quotient (TTHQ), cancer risk (CR), total cancer risk (TCR), and the permissible safety limits set by the agencies, the consumption of the fish examined is safe for human health. However, the presence of Cr and As in wild fish should still be a concern for human health, especially for children. The cumulative effect of heavy metals and the bioconcentration factor (BCF) suggest that sediment and heavy metals in fish are closely related, with higher concentrations in fish living in the bottom layer of the water column than in other water layers, and increasing with increasing predator levels. Correlation analysis and PMF modeling identified and determined four comparable categories of potential sources, namely, (1) atmospheric deposition and traffic sources, (2) agricultural sources, (3) industrial sources, and (4) natural sources.
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Affiliation(s)
- Jiale Zhang
- School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, Shaanxi, People's Republic of China
| | - Tao Yang
- School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, Shaanxi, People's Republic of China.
- International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, 710062, Shaanxi, People's Republic of China.
| | - Ning Wang
- School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, Shaanxi, People's Republic of China
| | - Xingyu Luo
- School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, Shaanxi, People's Republic of China
| | - Haiyan Li
- School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, Shaanxi, People's Republic of China
| | - Yilin Liao
- School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, Shaanxi, People's Republic of China
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Di Duca F, Montuori P, De Rosa E, De Simone B, Russo I, Nubi R, Triassi M. Assessing Heavy Metals in the Sele River Estuary: An Overview of Pollution Indices in Southern Italy. TOXICS 2024; 12:38. [PMID: 38250994 PMCID: PMC10819315 DOI: 10.3390/toxics12010038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/28/2023] [Accepted: 01/01/2024] [Indexed: 01/23/2024]
Abstract
Rapid industrialization, coupled with a historical lack of understanding in toxicology, has led in an increase in estuary pollution, frequently resulting in unexpected environmental situations. Therefore, the occurrence of heavy metals (HMs) constitutes a major environmental issue, posing a serious risk both to aquatic ecosystems and public health. This study aimed to evaluate the levels of eight HMs (As, Hg, Cd, Cr, Cu, Ni, Pb, and Zn) in water, suspended particles, and sediment near the Sele River estuary (Italy) in order to assess their environmental impacts on the sea and health risks for humans. The results revealed an increasing order of HM concentration according to the scheme suspended particulate matter (SPM) > sediment (SED) > dissolved phase (DP) and a moderate contamination status in sediment. The health risk assessment indicated that the non-carcinogenic risk was negligible. Carcinogenic risk, expressed as the incremental lifetime cancer risk (ILCR), was negligible for Cd and Ni and within tolerable limits for As, Pb, and Cr. The findings suggested that, even if there are currently no specific limits for chemical parameters in the transitional waters of Italy, monitoring systems should be implemented to determine pollution levels and implement effective steps to improve river water quality and reduce human health risks.
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Affiliation(s)
| | - Paolo Montuori
- Department of Public Health, University “Federico II”, Via Sergio Pansini 5, 80131 Naples, Italy (R.N.)
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27
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Debnath A, Singh PK, Sharma YC. Spatial distribution of heavy metals in the sediments of River Ganges, India: Occurrence, contamination, source identification, seasonal variations, mapping, and ecological risk evaluation. MARINE POLLUTION BULLETIN 2024; 198:115910. [PMID: 38101065 DOI: 10.1016/j.marpolbul.2023.115910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 11/16/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023]
Abstract
Present study analyzed the seasonal and spatial distribution patterns, sources, and ecological risks of seven heavy metals (Cr, Fe, Ni, Cu, Zn, Cd and Pb) in the sediments of River Ganges, finding that the majority of concentrations were lithologic, except for Cd, which was significantly higher than background standards. Elevated values of geochemical indices viz. Igeo, CF, RI, Cd, mCd, HQ, mHQ, and PN suggest moderate to high ecological risk in the benthic environment and its organisms due to the synergistic effect of heavy metals. The PEC-Qmetals revealed 8-10 % toxicity in the upstream and downstream sites, due to the influence of agricultural activities. Multivariate statistical techniques (PCM and PCA) indicated that Cd and Pb predominantly originated from anthropogenic sources, while other metals primarily derived from geological background. These geochemical findings may help to understand the potential risks and recommend strategies to mitigate the effects of metallic contamination in river sediments.
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Affiliation(s)
- Abhijit Debnath
- Department of Civil Engineering, Indian Institute of Technology (BHU), Varanasi, India.
| | - Prabhat Kumar Singh
- Department of Civil Engineering, Indian Institute of Technology (BHU), Varanasi, India
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28
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Ning Q, Shao B, Huang X, He M, Tian L, Lin Y. Bioaccumulation, biomagnification, and ecological risk of trace metals in the ecosystem around oilfield production area: A case study in Shengli Oilfield. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:87. [PMID: 38147204 DOI: 10.1007/s10661-023-12251-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 12/14/2023] [Indexed: 12/27/2023]
Abstract
The production for crude oil usually leads to contamination of the soil with trace metals and organic contaminants from spilled petroleum. Organic contaminants were generally paid more attention than trace metals in the oilfield pollution. Many studies have investigated the impacts of some petroleum hydrocarbon pollutants, however, the impacts and risk assessment of trace metals remain largely unexplored. Moreover, under some circumstances, the risks associated with trace metals are not necessarily lower than those associated with organic contaminants. This study aimed to investigate methods to evaluate the possible risks associated with 11 trace metals (Ti, Ba, Sr, Rb, V, Li, Mo, Co, Cs, Bi, and Tl) in soil and biota samples from the Shengli Oilfield using ICP-MS. The results showed that 11 trace metals in the surface soils exceeded the local background levels. The geo-accumulation index (Igeo) indicated that the soils had light-moderate to moderate contamination levels, with higher Igeo value of Ba, V, Li, Mo, Co, and Cs. The individual potential ecological risk indices ([Formula: see text]) demonstrated moderate Bi and Tl pollution in soils. Comparatively, the [Formula: see text] is recommended for the risk assessment of trace metals on the ecosystem around the oilfield area. Mo, Bi, and Sr easily accumulate in plants, as reflected by their bioaccumulation factor. Ti, Ba, V, Li, Co, Cs, Bi, and Tl exhibited considerable biomagnification, particularly in birds. In this study, trace metals showed considerable bioaccumulation and biomagnification, and the risks of these trace metals on the ecosystem around oilfield production area need more attention.
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Affiliation(s)
- Qian Ning
- Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan, 430100, China
- School of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Bo Shao
- Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan, 430100, China
- School of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Xin Huang
- Tianjin Key Laboratory of Environmental Technology for Complex Trans-Media Pollution, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Mei He
- Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan, 430100, China.
- School of Resources and Environment, Yangtze University, Wuhan, 430100, China.
| | - Lei Tian
- Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan, 430100, China
- School of Petroleum Engineering, Yangtze University, Wuhan, 430100, China
| | - Yan Lin
- Tianjin Key Laboratory of Environmental Technology for Complex Trans-Media Pollution, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
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Verma A, Yadav S, Kumar R. Geochemical fractionation, bioavailability, ecological and human health risk assessment of metals in topsoils of an emerging industrial cluster near New Delhi. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:9041-9066. [PMID: 36932290 DOI: 10.1007/s10653-023-01536-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 03/05/2023] [Indexed: 06/18/2023]
Abstract
Urban spaces have become sink for metal-rich waste, particularly in unorganized industrial clusters and metro-cities. Geochemical distribution of metals in different forms and their mobility and bioavailability in topsoils of Bhiwadi Industrial Cluster (BIC) near New Delhi are studies following m-BCR-SEP. Contamination factor (Cf), risk assessment code (RAC), ecological risk assessment (Er), and carcinogenic and non-carcinogenic health risk (HRA) were calculated to assess health and environmental risks. Residual fraction (F4) contained considerable amounts of Cd (57.2%), Cr (81.5%), Fe (86.1%), Mn (62.5%), Ni (58.3%), and V (71.4%). Pb was present in reducible fraction (F2; 52.8%), whereas Cu was distributed in F2 (33.3%) and F4 (31.6%). Zn showed equal distribution in acid exchangeable (F1; 33.9%) and oxidizable fraction (F3; 32.5%). High Cf was observed for Zn (0.9-20.9), Cu (0.46-17) and Pb (0.2-9.9). RAC indicated high risk of Cd, Cu, Mn, Ni, and Zn due to their high mobility and toxicity. High potential bioavailability of Cu, Pb, and Zn (> 65%) was found in samples collected near to metal casting, electroplating, and automobile part manufacturing industries. Considerable to extremely high ecological risk was observed for Cd, low to high risk for Cu, low risk to moderate risk for Cr, Mn, Ni, Zn, and Pb. All topsoil samples were in low to very high-risk range for metals. Ingestion was major pathway of metals followed by dermal and inhalation. Children were more prone to non-carcinogenic risks (hazardous index: 3.6). Topsoils had high carcinogenic risk to exposed population for Cd, Cr, Ni, and Pb.
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Affiliation(s)
- Anju Verma
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Sudesh Yadav
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
| | - Rakesh Kumar
- Department of Environmental Sciences, University of Jammu, Jammu, 180006, India
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Liu X, Liu Q, Sheng Y. Nutrients in overlying water affect the environmental behavior of heavy metals in coastal sediments. ENVIRONMENTAL RESEARCH 2023; 238:117135. [PMID: 37714367 DOI: 10.1016/j.envres.2023.117135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/18/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
Excessive nutrients in aquatic ecosystems are the main driving factors for eutrophication and water quality deterioration. However, the influence of nutrients in overlying water on sediment heavy metals is not well understood. In this study, the effects of nitrate nitrogen (NO3-N) addition and phosphate addition in the overlying water on the environmental behaviors of chromium (Cr), copper (Cu), and cadmium (Cd) in coastal river sediments were investigated. Fresh estuary sediments and synthetic saltwater were used in microcosm studies conducted for 13 d. To determine the biological effect, unsterilized and sterilized treatments were considered. The results showed that the diffusion of Cr and Cu was inhibited in the unsterilized treatments with increased NO3-N. However, under the NO3-N sterilized treatments, Cr and Cu concentrations in the overlying water increased. This was mostly related to changes in the microbial regulation of dissolved organic carbon and pH in the unsterilized treatments. Further, in the unsterilized treatments, NO3-N addition considerably increased the concentrations of the acid-soluble (Cr, Cu, and Cd increased by 5%-8%, 29%-41%, and 31%-42%, respectively) and oxidizable (Cr, Cu, and Cd increased by 10%, 5%, and 14%, respectively) fractions. Additionally, compared with that in the unsterilized treatments, Cu and Cd concentrations in P-3 treatments decreased by 7% and 63%, respectively. By producing stable metal ions, microorganisms reduced the amount of unstable heavy metals in the sediment and heavy metal concentration in the overlying water, by considerably enhancing the binding ability of phosphate and heavy metal ions. This study provides a theoretical basis for investigating the coupling mechanisms between heavy metals and nutrients.
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Affiliation(s)
- Xiaozhu Liu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Qunqun Liu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China
| | - Yanqing Sheng
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China.
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31
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Ateş Ö, Taşpınar K, Yalçın G, Kızılaslan F, Pınar MÖ, Toprak S, Alveroğlu V, Yavuz R, Özen D. Ecological and contamination assessment of soil in the region of coal-fired thermal power plant. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:1558-1567. [PMID: 35968823 DOI: 10.1080/09603123.2022.2108384] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
This study was carried out to determine the heavy metal pollution and possible sources of agricultural soils in Tavşanlı district, Which energy power plant is located. Total 83 soil samples were taken and 8 (Cu, Cr, Pb, Co, Fe, Mn, Ni, and Zn) heavy metals were analyzed in soil samples The mean concentration of heavy metals were determined as Cu (32.89 mg kg-1), Cr (285.69 mg kg-1), Co (36.37 mg kg-1), Mn (860.20 mg kg-1), Ni (457.59 mg kg-1), Pb (22.14 mg kg-1), Fe (30,250 mg kg-1) and Zn (65.05 mg kg-1), were determined. The mean concentrations of Cu, Cr Co, Mn and Ni found to be higher than both the upper continental crust values and the European soil mean values. Contamination factor Co (2.1), Cr (3.10) and Ni (9.73), enrichment factor Co (2.73), Cr (3.75) and Ni (11.42) and geoaccumulation index Co (0.18), Cr (0.50) and Ni (1.98) values showed that the soils were polluted by Co, Cr, and Ni. In addition, it was determined that Ni (48.65) poses a "moderate ecological risk" in the study area. Pearson correlation anaysis and principal component analysis determined that Cr, Co and Ni have both lithogenic and anthropogenic origin.
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Affiliation(s)
- Özgür Ateş
- Department of Soil and Water Research, Transitional Zone Agricultural Research Institute, Ziraat Cad. Tepebaşı, Eskişehir, Türkiye
| | - Kadriye Taşpınar
- Department of Soil and Water Research, Transitional Zone Agricultural Research Institute, Ziraat Cad. Tepebaşı, Eskişehir, Türkiye
| | - Gülser Yalçın
- Department of Soil and Water Research, Transitional Zone Agricultural Research Institute, Ziraat Cad. Tepebaşı, Eskişehir, Türkiye
| | - Fatih Kızılaslan
- Department of Soil and Water Research, Transitional Zone Agricultural Research Institute, Ziraat Cad. Tepebaşı, Eskişehir, Türkiye
| | - Melis Özge Pınar
- Department of Soil and Water Research, Transitional Zone Agricultural Research Institute, Ziraat Cad. Tepebaşı, Eskişehir, Türkiye
| | - Serdar Toprak
- Aydın Soke Directorate Of Agricultural Production Enterprise, Agricultural Extension And In-Service Traınıng Center, Aydın, Türkiye
| | | | - Ramazan Yavuz
- Department of Soil and Water Research, Transitional Zone Agricultural Research Institute, Ziraat Cad. Tepebaşı, Eskişehir, Türkiye
| | - Didem Özen
- Department of Soil and Water Research, Transitional Zone Agricultural Research Institute, Ziraat Cad. Tepebaşı, Eskişehir, Türkiye
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Chen X, Wu P, Chen X, Liu H, Li X. Source apportionment of heavy metal(loid)s in sediments of a typical karst mountain drinking-water reservoir and the associated risk assessment based on chemical speciations. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7585-7601. [PMID: 37394675 DOI: 10.1007/s10653-023-01676-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 06/21/2023] [Indexed: 07/04/2023]
Abstract
As important place for water storage and supply, drinking-water reservoirs in karst mountain areas play a key role in ensuring human well-being, and its water quality safety has attracted much attention. Source apportionment and ecological risks of heavy metal(loid)s in sediments of drinking-water reservoir are important for water security, public health, and regional water resources management, especially in karst mountain areas where water resources are scarce. To expound the accumulation, potential ecological risks, and sources of heavy metal(loid)s in a drinking-water reservoir in Northwest Guizhou, China, the surface sediments were collected and analyzed based on the combined use of the geo-accumulation index (Igeo), sequential extraction (BCR), ratios of secondary phase and primary phase (RSP), risk assessment code (RAC), modified potential ecological risk index (MRI), as well as the positive matrix factorization methods. The results indicated that the accumulation of Cd in sediments was obvious, with approximately 61.9% of the samples showing moderate to high accumulation levels, followed by Pb, Cu, Ni, and Zn, whereas the As and Cr were at low levels. A large proportion of BCR-extracted acid extractable and reducible fraction were found in Cd (72.5%) and Pb (40.3%), suggesting high bioavailability. The combined results of RSP, RAC, and MRI showed that Cd was the major pollutant in sediments with high potential ecological risk, while the risk of other elements was low. Source apportionment results of heavy metal(loid)s indicated that Cd (75.76%) and Zn (23.1%) mainly originated from agricultural activities; As (69.82%), Cr (50.05%), Cu (33.47%), and Ni (31.87%) were associated with domestic sources related to residents' lives; Cu (52.36%), Ni (44.57%), Cr (34.33%), As (26.51%), Pb (24.77%), and Zn (23.80%) primarily came from natural geological sources; and Pb (47.56%), Zn (22.46%) and Cr (13.92%) might be introduced by mixed sources of traffic and domestic. The contribution ratios of the four sources were 18.41%, 36.67%, 29.48%, and 15.44%, respectively. Overall, priority control factors for pollution in relation to agricultural sources included Cd, while domestic sources are primarily associated with As. It is crucial to place special emphasis on the impacts of human activities when formulating pollution prevention and control measures. The results of this study can provide valuable reference and insights for water resources management and pollution prevention and control strategies in karst mountainous areas.
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Affiliation(s)
- Xue Chen
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Pan Wu
- Key Laboratory of Karst Georesources and Environment of Ministry of Education, Guizhou University, Guiyang, 550025, China
- College of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China
| | - Xue Chen
- Guiyang Rural Revitalization Service Center, Guiyang, 550025, Guizhou Province, China
| | - Hongyan Liu
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Xuexian Li
- College of Agriculture, Guizhou University, Guiyang, 550025, China.
- Key Laboratory of Karst Georesources and Environment of Ministry of Education, Guizhou University, Guiyang, 550025, China.
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Wang N, Kang G, Hu G, Chen J, Qi D, Bi F, Chang N, Gao Z, Zhang S, Shen W. Spatiotemporal distribution and ecological risk assessment of pharmaceuticals and personal care products (PPCPs) from Luoma Lake, an important node of the South-to-North Water Diversion Project. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:1330. [PMID: 37848742 DOI: 10.1007/s10661-023-11976-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/09/2023] [Indexed: 10/19/2023]
Abstract
PPCPs (pharmaceuticals and personal care products) are widely found in the environment and can be a risk to human and ecosystem health. In this study, spatiotemporal distribution, critical risk source identification and potential risks of 14 PPCPs found in water collected from sampling points in Luoma Lake and its inflowing rivers in two seasons in 2019 and 2020 were investigated. The PPCPs concentrations ranged from 27.64 ng·L-1 to 613.08 ng·L-1 in December 2019, and from 16.67 ng·L-1 to 3287.41 ng·L-1 in April 2020. Ketoprofen (KPF) dominated the PPCPs with mean concentrations of 125.85 ng·L-1 and 640.26 ng·L-1, respectively. Analysis of sources showed that the pollution in Luoma Lake mostly originated from sewage treatment plant effluents, inflowing rivers and domestic wastewater. Among them, the inflowing rivers contributed the most (82.95%) to the concentration of total PPCPs. The results of ecological risk assessment showed that there was a moderate risk (0.1 < RQs < 1) from carbamazepine (CBZ) in December 2019 and a high risk (RQs > 1) from naproxen (NPX) in April 2020. The results of human risk assessment found that NPX posed a high risk to infant health, and we found that NPX was associated with 83 diseases according to Comparative Toxicogenomics Database. NPX was identified as a substance requiring major attention. The results provide an understanding of the concentrations and ecological risks of PPCPs in Luoma Lake. We believe the data will support environmental departments to develop management strategies and prevent PPCPs pollution.
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Affiliation(s)
- Ning Wang
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, 210042, China
| | - Guodong Kang
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, 210042, China
| | - Guanjiu Hu
- Jiangsu Environmental Monitoring, Nanjing, 210036, China
- State Environmental Protection Key Laboratory of Monitoring and Analysis for Organic Pollutants in Surface Water, Nanjing, 210019, China
| | - Jianqiu Chen
- School of Engineering, China Pharmaceutical University, Nanjing, 210009, China
| | - Dan Qi
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, 210042, China
| | - Fengzhi Bi
- Jiangsu Environmental Monitoring, Nanjing, 210036, China
- State Environmental Protection Key Laboratory of Monitoring and Analysis for Organic Pollutants in Surface Water, Nanjing, 210019, China
| | - Ning Chang
- School of Resources and Environmental Engineering, Shanghai Polytechnic University, Shanghai, 201209, China
| | - Zhanqi Gao
- Jiangsu Environmental Monitoring, Nanjing, 210036, China.
- State Environmental Protection Key Laboratory of Monitoring and Analysis for Organic Pollutants in Surface Water, Nanjing, 210019, China.
| | - Shenghu Zhang
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, 210042, China.
| | - Weitao Shen
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, 210042, China.
- Key Laboratory of Environment Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China.
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Zarei S, Karbassi A, Sadrinasab M, Sarang A. Development and application of novel risk indices for assessing heavy metal pollution in aquatic sediments. MARINE POLLUTION BULLETIN 2023; 195:115554. [PMID: 37734225 DOI: 10.1016/j.marpolbul.2023.115554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/12/2023] [Accepted: 09/15/2023] [Indexed: 09/23/2023]
Abstract
This study presents the development of a new sediment individual risk index (SIRI) and sediment complex risk index (SCRI) to assess heavy metal pollution in Anzali Wetland sediments. SIRI incorporates total metal concentrations, bioavailability, and sediment quality guidelines. SCRI, derived through principal component analysis (PCA), integrates SIRI for a comprehensive risk assessment. The newly developed indices were systematically classified. Results showed varying risk levels with SIRI values of Zn, Cr, Cu, Pb, Ni, As, Cd, and Hg as 0.82, 1.32, 0.98, 0.71, 1.41, 1.37, 0.79, and 0.79, respectively. Pb, Cd, and Hg posed very low risk, Cu and Zn posed low risk, and Cr, Ni, and As posed moderate risk. SCRI yielded an index value of 1.02, indicating a moderate level of risk for the studied stations. Pearson correlation analysis validated SCRI with a highly significant and strong correlation coefficient (0.923) with metal bioavailability, serving as a risk indicator.
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Affiliation(s)
- Sina Zarei
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran.
| | - Abdolreza Karbassi
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran
| | - Masoud Sadrinasab
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran
| | - Amin Sarang
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran
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35
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Zarei S, Karbassi A, Sadrinasab M, Sarang A. Investigating heavy metal pollution in Anzali coastal wetland sediments: A statistical approach to source identification. MARINE POLLUTION BULLETIN 2023; 194:115376. [PMID: 37549529 DOI: 10.1016/j.marpolbul.2023.115376] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/25/2023] [Accepted: 08/02/2023] [Indexed: 08/09/2023]
Abstract
In this study, the pollution and bioavailability of heavy metals in the sediments of Anzali Wetland were measured by analyzing data from sequential chemical extraction of sediments, risk assessment code (RAC), and sediment pollution indices. The average RAC results indicated that the risk from Zn, Cr, Cu, and Hg was low, while the risk from Pb, Ni, As, and Cd was moderate. To identify the sources of heavy metal pollution in the sediments of Anzali Wetland, multivariate statistical techniques such as Pearson correlation analysis, cluster analysis (CA), and principal component analysis (PCA) were employed. The results of the statistical analyses at a high significance level revealed that Zn, Cr, Cu, Pb, Ni, and As were attributed to natural sources. Additionally, the statistical analyses demonstrated that the concentrations of Cd and Hg in the sediments of Anzali Wetland were influenced by non-oil organic sources and atmospheric deposition, respectively.
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Affiliation(s)
- Sina Zarei
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran.
| | - Abdolreza Karbassi
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran
| | - Masoud Sadrinasab
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran
| | - Amin Sarang
- Faculty of Environment, College of Engineering, University of Tehran, P.O. Box 1417853111, Tehran, Iran
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Hossain MB, Sultana J, Jolly YN, Nur AAU, Sultana S, Miazee R, Islam MS, Paray BA, Arai T, Yu J. Seasonal variation, contamination and ecological risk assessment of heavy metals in sediments of coastal wetlands along the Bay of Bengal. MARINE POLLUTION BULLETIN 2023; 194:115337. [PMID: 37516095 DOI: 10.1016/j.marpolbul.2023.115337] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/13/2023] [Accepted: 07/21/2023] [Indexed: 07/31/2023]
Abstract
Functioning of coastal wetland habitats is essential for the ecosystem integrity and sustainability of coastal development that enables human progress along transitional waterways. However, these habitats are continuously being affected by a variety of pollutants including metallic elements. In this study, seasonal variation, pollution status and ecological risks of heavy metals (Cr, Mn, Co, Ni, As, Cu, Zn and Pb) in surface sediment of the several types of coastal wetlands (estuaries, mudflats, sandy beaches, mangroves, and saltmarshes) were detected by using X-ray fluorescence (EDXRF) spectrometry. The results showed that the mean concentration level of metals in the surficial sediment samples followed the order of Cu (84.06 ± 8.60 μg/g) > Zn (51.00 ± 8.97 μg/g) > Mn (38.25 ± 11.34 μg/g) > Cr (3.52 ± 0.91 μg/g) > Pb (0.27 ± 0.13 μg/g) > Co (0.24 ± 0.13 μg/g) > As (0.21 ± 0.12 μg/g) > Ni (0.16 ± 0.08 μg/g). In comparison to the pre-monsoon period, the post-monsoon season had higher concentrations of heavy metals while the overall accumulation level of metals in the wetlands exhibited a pattern of estuarine wetland (28.47 ± 31.35 μg/g) > mangrove (22.23 ± 30.79 μg/g) > mudflat (21.79 ± 29.71 μg/g) > sandy beach (21.47 ± 28.15 μg/g) > saltmarsh (21.28 ± 30.02 μg/g). Although, the pollution assessment indices e.g., contamination factor (CF), degree of contamination (CD), geoaccumulation index (Igeo) and pollution load index (PLI) showed minimal levels of contamination in the studied sites, enrichment factor (EF) suggested greater enrichment of the metals in the pre-monsoon season but with the lowest ecological risk (RI < 40) in both seasons. Cluster analysis, principal component analysis (PCA), and Pearson's correlation were performed to determine the sources of heavy metals in collected samples which specified that Pb, As, Co and Ni predominantly came from natural sources whereas Cu, Mn, Zn and Cr emerged from anthropogenic sources such as industrial effluents, domestic wastewater, fertilizer or pesticide consumption on farmland along the riverbank, vessel emissions, and the confluence of tributary rivers.
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Affiliation(s)
- Mohammad Belal Hossain
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh; School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia.
| | - Jakia Sultana
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh
| | - Yeasmin N Jolly
- Atmospheric and Environmental Chemistry Laboratory, Chemistry Division, Atomic Energy Centre, Dhaka 1000, Bangladesh
| | - As-Ad Ujjaman Nur
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh
| | - Salma Sultana
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh
| | - Rubel Miazee
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh
| | - M Saiful Islam
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali 3814, Bangladesh
| | - Bilal Ahamad Paray
- Department of Zoology, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia
| | - Takaomi Arai
- Environmental and Life Sciences Programme, Faculty of Science, University Brunei Darussalam, Jala Tungku Link, Gadong BE 1410, Brunei Darussalam
| | - Jimmy Yu
- School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia
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Xie X, Liu Y, Qiu H, Yang X. Quantifying ecological and human health risks of heavy metals from different sources in farmland soils within a typical mining and smelting industrial area. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:5669-5683. [PMID: 33026582 DOI: 10.1007/s10653-020-00731-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Accepted: 09/21/2020] [Indexed: 06/11/2023]
Abstract
The quality of food crops and human health is threatened by heavy metals (HMs) accumulated in farmland soils for a long time. In this study, we selected 148 soil samples randomly from farmlands in a region featuring abandoned lead-zinc (Pb-Zn) mining activities with the aim to quantify the pollution risk and identify potential sources of heavy metals, based on a case in the southwestern of China. The median contents of metals, such as Pb, Zn, Cd, As, Cu and Cr, are above the background values for Chinese soils and prescribed pollution threshold guide values (GB15618-2018), except Hg and Ni. The farmland soils in sites surrounding areas with previous Pb-Zn mining and smelting activities were classified as seriously polluted. Pollution sources were evaluated using GIS-based geostatistical methods, multivariate statistical analyses and positive matrix factorization (PMF) modeling. Four sources were quantitatively apportioned, which were industrial sources such as mining and smelting (53.1%), agricultural practices (11.6%), natural source (21.6%) and other industrial sources such as electroplating (13.7%). The potential risks of contamination associated with the heavy metals were evaluated using several indices including the Nemerow, geoaccumulation (Igeo) and ecological risk (RI) indices. Based on the Igeo index, As and Pb were the most severe pollutants among all of those measured. With the combination of the potential ecological risk index (RI) and human health risk (HHR) assessment models, the ecological risk and HHR from different sources were analyzed quantitatively. Industrial activities such as mining and smelting were the greatest contributors to ecological risk, non-carcinogenic risk and carcinogenic risk, accounting for about 86.9%,73.9% and 81.9%, respectively. Additionally, the health risks of children were more serious relative to those of adults from the perspective of non-carcinogenic and carcinogenic risks.
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Affiliation(s)
- Xiaofan Xie
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuexian Liu
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Hui Qiu
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaosong Yang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
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Cao Y, Wang R, Liu Y, Li Y, Jia L, Yang Q, Zeng X, Li X, Wang Q, Wang R, Riaz L. Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems. TOXICS 2023; 11:650. [PMID: 37624156 PMCID: PMC10459401 DOI: 10.3390/toxics11080650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/26/2023]
Abstract
Several methods have been used to assess heavy metal contamination in sediments. However, an assessment that considers both composite heavy metal speciation and concentration is necessary to accurately study ecological risks. This study improved the potential ecological risk index method and calculated the toxicity coefficients of seven heavy metals: Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Nickel (Ni), Lead (Pb), and Zinc (Zn). The newly calculated toxicity coefficients were validated by using previously published heavy metal distribution data of the Henan section of the Yellow River. The calculation procedure is based on the principle that the abundance of heavy metals in the environment and their bioavailable forms affect the toxicity of heavy metals. The toxicity coefficients for the seven heavy metals were calculated as follows: As = 10, Cd = 20, Cr = 5, Cu = 2, Ni = 5, Pb = 5, Zn = 1. Ecological risk assessment of the Henan section of the Yellow River using the improved toxicity coefficients revealed that the ecological risk of Cd and total heavy metals is higher than previous calculations, reaching the strength and moderate risk levels, respectively. The improved potential ecological risk index method is more sensitive to heavy metal pollution and thus provides a better indication of ecological risk. This is a necessary improvement to provide more accurate pollution assessments.
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Affiliation(s)
- Yu Cao
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Ruimin Wang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Agricultural Microbial Ecology and Technology, Henan Normal University, Xinxiang 453007, China
| | - Yanyan Liu
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Yongjie Li
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Lifen Jia
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Qingxiang Yang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Agricultural Microbial Ecology and Technology, Henan Normal University, Xinxiang 453007, China
| | - Xiangpeng Zeng
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Xinlei Li
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Qiang Wang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Agricultural Microbial Ecology and Technology, Henan Normal University, Xinxiang 453007, China
| | - Ruifei Wang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Agricultural Microbial Ecology and Technology, Henan Normal University, Xinxiang 453007, China
| | - Luqman Riaz
- Department of Environmental Sciences, Kohsar University Murree, Murree 47150, Punjab, Pakistan
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Aradhi KK, Dasari BM, Banothu D, Manavalan S. Spatial distribution, sources and health risk assessment of heavy metals in topsoil around oil and natural gas drilling sites, Andhra Pradesh, India. Sci Rep 2023; 13:10614. [PMID: 37391457 PMCID: PMC10313719 DOI: 10.1038/s41598-023-36580-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/06/2023] [Indexed: 07/02/2023] Open
Abstract
Soils are usually the interface between human activity and environmental components that must be conserved and protected. As a result of rising industrialization and urbanization, activities such as exploration and extraction operations lead to the release of heavy metals into the environment. This study presents distribution of six heavy metals (As, Cr, Cu, Ni, Pb and Zn) in 139 top soil samples collected in and around oil and natural gas drilling sites at a sampling density of 1 site/12 km2. The results indicated the concentration ranged from 0.1 to 16 mg/kg for As, 3-707 mg/kg for Cr, 7-2324 mg/kg for Cu, 14-234 mg/kg for Ni, 9-1664 mg/kg for Pb, and 60-962 mg/kg for Zn. The contamination of soil was estimated on the basis of Index of geo accumulation (Igeo), enrichment factor (Ef), and contamination factor (Cf). Further, spatial distribution pattern maps indicated that the pollution levels for Cu, Cr, Zn, and Ni were higher around drilling sites of the study area relative to other regions. Using exposure factors for the local population and references from the USEPA's integrated database, potential ecological risk indices (PERI) and health risk assessments were made. The hazard index (HI) values of Pb (in adults) and Cr, Pb (in children) exceeded the recommended limit of HI = 1, indicating the non-carcinogenic risks. Total carcinogenic risk (TCR) calculations revealed Cr (in adults) and As, Cr (in children) levels in soils exceeded the threshold value of 1.0E - 04, indicating significant carcinogenic risk due to high metal concentrations in the study area. These results may assist in determining the soil's present state and its effect due to extraction strategies used during drilling process and initiate few remedial techniques, particularly for proper management strategies in farming activities to decrease point and non-point source of contamination.
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Affiliation(s)
- Keshav Krishna Aradhi
- CSIR-National Geophysical Research Institute (Council of Scientific and Industrial Research), Habsiguda, Hyderabad, 500007, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
| | - Babu Mallesh Dasari
- CSIR-National Geophysical Research Institute (Council of Scientific and Industrial Research), Habsiguda, Hyderabad, 500007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Dasaram Banothu
- CSIR-National Geophysical Research Institute (Council of Scientific and Industrial Research), Habsiguda, Hyderabad, 500007, India
| | - Satyanarayanan Manavalan
- CSIR-National Geophysical Research Institute (Council of Scientific and Industrial Research), Habsiguda, Hyderabad, 500007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
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Peng S, Xiao X, Zou H, Yang Z, Ahmad UM, Zhao Y, Chen H, Li G, Liu G, Duan X, Mao G, Yang P. Levels, origins and probabilistic health risk appraisal for trace elements in drinking water from Lhasa, Tibet. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:3405-3421. [PMID: 36329376 DOI: 10.1007/s10653-022-01424-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/24/2022] [Indexed: 06/01/2023]
Abstract
Due to the lack of monitoring systems and water purification facilities, residents in western China may face the risk of drinking water pollution. Therefore, 673 samples were collected from Lhasa's agricultural and pastoral areas to reveal the status quo of drinking water. We used inductively coupled plasma-mass spectrometry to determine trace elements concentrations for water quality appraisal, source apportionment, and health risk assessment. The results indicate that concentrations of V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Cd, Ba, and Pb are below the guidelines, while As concentrations in a few samples exceed the standard. All samples were classified into "excellent water" for drinking purpose based on Entropy-weighted water quality index. Thereafter by principal component analysis, three potential sources of trace elements were extracted, including natural, anthropogenic, and mining activities. It is worth noting that geotherm and mining exploitation does not threaten drinking water safety. Finally, health risks were assessed using Monte Carlo technique. We found that the 95th percentiles of hazard index are 1.80, 0.80, and 0.79 for children, teenagers, and adults, indicating a non-carcinogenic risk for children, but no risks for the latter two age groups. In contrast, the probabilities of unacceptable cautionary risk are 7.15, 2.95 and 0.69% through exposure to Cr, Ni, As, and Cd for adults, children, and teenagers. Sensitivity analyses reveal As concentration and ingestion rate are most influential factors to health risk. Hence, local governments should pay more attention to monitoring and removal of As in the drinking water.
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Affiliation(s)
- Shuan Peng
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China
| | - Xiao Xiao
- Department of Infrastructure Engineering, The University of Melbourne, Grattan Street, Parkville, VIC, 3010, Australia
| | - Hongyang Zou
- College of Management and Economics, Tianjin University, Tianjin, 300072, China.
| | - Zheng Yang
- Academy of Regional and Global Governance, Beijing Foreign Studies University, Beijing, 100089, China
| | - Umme Marium Ahmad
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China
| | - Yushun Zhao
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China
- Tianjin Municipal Engineering Design and Research Institute, Tianjin, 300041, China
| | - Hulin Chen
- Department of Chemistry and Environmental Sciences, Tibet University, Lhasa, 850000, China
| | - Gao Li
- Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, VIC, 8001, Australia
| | - Gang Liu
- College of Management and Economics, Tianjin University, Tianjin, 300072, China
| | - Xingxing Duan
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China
| | - Guozhu Mao
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China
| | - Pingjian Yang
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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Kodat M, Tepe Y. A holistic approach to the assessment of heavy metal levels and associated risks in the coastal sediment of Giresun, southeast Black Sea. Heliyon 2023; 9:e16424. [PMID: 37274673 PMCID: PMC10238681 DOI: 10.1016/j.heliyon.2023.e16424] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 06/06/2023] Open
Abstract
A seasonal study was conducted to assess the levels, sources, and potential ecological risks of heavy metals (HM) in coastal sediments along the Giresun Coast, located on the southeast coast of the Black Sea. The mean concentrations of HMs as mg/kg were ranked as Fe (27646.37) > Al (27348.55) > Mn (571.87) > Zn (94.16) > Cr (60.64) > Cu (45.66) > Pb (41.37) > Ni (27.29) > Co (14.47) > As (7.36) > Cd (0.20), respectively. At all stations through the year, Al, Cr, Mn, Fe, Co, and Ni were in "the minimum enrichment" class as evaluated by the enrichment factor (EF). As assessed by the contamination factor (CF), all HM levels except Pb, Fe and Cu were "low" or "moderately polluted" at all stations and seasons. With the exception of Cd levels, all HMs in all seasons and stations pointed out "low ecological risk" according to the ecological risk index (Eri). According to the sediment quality guidelines, Ni, Cu and Pb were observed to pose a high ecological risk to habitat. The combined risk assessment indices pointed out low to moderate ecological risk. The study concluded that the region is subject to minimum anthropogenic disturbances in the aquatic environment.
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Yang C, Zeng Z, Wang Y, He G, Hu Y, Gao D, Dai Y, Li Q, Zhang H. Ecological risk assessment and identification of the distinct microbial groups in heavy metal-polluted river sediments. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:1311-1329. [PMID: 35939250 DOI: 10.1007/s10653-022-01343-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/25/2022] [Indexed: 06/15/2023]
Abstract
To assess the health of river ecosystems, it is essential to quantify the ecological risk of heavy metals in river sediments and the structure of microbial communities. As important tributaries of the Tuo River in the upper reaches of the Yangtze River, the Mianyuan River and the Shiting River, are closely related to the economic development and human daily life in the region. This study assessed the ecological risks of heavy-metal-polluted river sediments, the heavy-metal-driven bacterial communities were revealed, and the relationships between the ecological risks and the identical bacterial communities were discussed. The Cd content was significantly greater than the environmental background value, leading to a serious pollution and very high ecological risk at the confluence of the two rivers and the upper reaches of the Mianyuan River. Microbial community analysis showed that Rhodobacter, Nocardioides, Sphingomonas, and Pseudarthrobacter were the dominant bacterial genera in the sediments of the Shiting River. However, the dominant bacterial genera in the Mianyuan River were Kouleothrix, Dechloromonas, Gaiella, Pedomicrobium, and Hyphomicrobium. Mantel test results showed (r = 0.5977, P = 0.005) that the Cd, As, Zn, Pb, Cr, and Cu were important factors that influenced differences in the distribution of sediment bacterial communities Mianyuan and Shiting rivers. A correlation heatmap showed that heavy metals were negatively correlated for most bacterial communities, but some bacterial communities were tolerant and showed a positive correlation. Overall, the microbial structure of the river sediments showed a diverse spatial distribution due to the influence of heavy metals. The results will improve the understanding of rivers contaminated by heavy metals and provide theoretical support for conservation and in situ ecological restoration of river ecosystems.
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Affiliation(s)
- Cheng Yang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Zhuo Zeng
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Yuanyuan Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Guangyi He
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Yuansi Hu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Dongdong Gao
- Sichuan Academy of Environmental Science, Chengdu, 610000, China
| | - Yonghong Dai
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
| | - Qingyu Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
| | - Han Zhang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
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Yang Q, Jie S, Lei P, Gan M, He P, Zhu J, Zhou Q. Effect of Anthropogenic Disturbances on the Microbial Relationship during Bioremediation of Heavy Metal-Contaminated Sediment. Microorganisms 2023; 11:1185. [PMID: 37317159 DOI: 10.3390/microorganisms11051185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 04/25/2023] [Accepted: 04/28/2023] [Indexed: 06/16/2023] Open
Abstract
Soil, sediment, and waters contaminated with heavy metals pose a serious threat to ecosystem function and human health, and microorganisms are an effective way to address this problem. In this work, sediments containing heavy metals (Cu, Pb, Zn, Mn, Cd, As) were treated differently (sterilized and unsterilized) and bio-enhanced leaching experiments were carried out with the addition of exogenous iron-oxidizing bacteria A. ferrooxidans and sulfur-oxidizing bacteria A. thiooxidans. The leaching of As, Cd, Cu, and Zn was higher in the unsterilized sediment at the beginning 10 days, while heavy metals leached more optimally in the later sterilized sediment. The leaching of Cd from sterilized sediments was favored by A. ferrooxidans compared to A. thiooxidans. Meanwhile, the microbial community structure was analyzed using 16S rRNA gene sequencing, which revealed that 53.4% of the bacteria were Proteobacteria, 26.22% were Bacteroidetes, 5.04% were Firmicutes, 4.67% were Chlamydomonas, and 4.08% were Acidobacteria. DCA analysis indicated that microorganisms abundance (diversity and Chao values) increased with time. Furthermore, network analysis showed that complex networks of interactions existed in the sediments. After adapting to the acidic environmental conditions, the growth of some locally dominant bacteria increased the microbial interactions, allowing more bacteria to participate in the network, making their connections stronger. This evidence points to a disruption in the microbial community structure and its diversity following artificial disturbance, which then develops again over time. These results could contribute to the understanding of the evolution of microbial communities in the ecosystem during the remediation of anthropogenically disturbed heavy metals.
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Affiliation(s)
- Quanliu Yang
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Shiqi Jie
- School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China
| | - Pan Lei
- School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China
| | - Min Gan
- School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China
| | - Peng He
- School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China
| | - Jianyu Zhu
- School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha 410083, China
| | - Qingming Zhou
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
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Ye Z, Chen J, Liang Z, Li S, Li R, Gao L, Jin G, Shimizu Y, Onodera SI, Saito M, Gopalakrishnan G. Spatial and Temporal Variations and Risk Assessment of Heavy Metal Fractions in Sediments of the Pearl River Estuary, Southern China. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2023; 84:389-399. [PMID: 37046151 DOI: 10.1007/s00244-023-00995-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/24/2023] [Indexed: 06/19/2023]
Abstract
Sequential extraction was used to study the mobility and ecological risk of chemical fractions of six heavy metals in sediments collected from the Pearl River Delta (PRE) in China. Results revealed that residual fractions (F4) were the dominant forms for Cr and Ni in surface sediments, indicating that they were primarily stable in nature and had low bioavailability and ecotoxicity. Cd had a high environmental risk owing to its higher availability in acid-soluble fraction (F1), whereas Pb occurred predominantly in the reducible fraction (F2) in surface sediments. The profile variations of bioavailable fractions were generally consistent with socioeconomic development in the Pearl River Delta (PRD). A decreasing trend after 2006 suggested a reduction in heavy metal bioavailable fractions owing to the removal of heavy polluting industries and the effective control of sewage discharge. The risk assessment code suggested that the high mobility of Cd posed an extremely high risk and a threat to the aquatic environment.
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Affiliation(s)
- Zhiping Ye
- School of Geography and Tourism, Huizhou University, Huizhou, 516007, China
| | - Jianyao Chen
- Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275, China.
| | - Zuobing Liang
- Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Shaoheng Li
- Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Rui Li
- Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Lei Gao
- Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Guangzhe Jin
- Guangdong Ocean University, Huguangyan, Zhanjiang, 524088, Guandong Province, China
| | - Yuta Shimizu
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga, Fukuoka, 816-8580, Japan
| | - Shin-Ichi Onodera
- Graduate School of Integrated Arts and Sciences, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima, 739-8521, Japan
| | - Mitsuyo Saito
- Graduate School of Integrated Arts and Sciences, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima, 739-8521, Japan
| | - Gnanachandrasamy Gopalakrishnan
- Department of Earth Sciences, School of Physical, Chemical, and Applied Sciences, Pondicherry University, Puducherry, 605104, India
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Yao X, Wang Z, Liu W, Zhang Y, Wang T, Li Y. Pollution in river tributaries restricts the water quality of ecological water replenishment in the Baiyangdian watershed, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:51556-51570. [PMID: 36810822 DOI: 10.1007/s11356-023-25957-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
Natural rivers often have complex water network structures, and the continuous water inflow from tributaries may have crucial impacts on the water quality of ecological water replenishment in the mainstream. This study selected two main inflow rivers of the largest lake in Hebei Province (Baiyangdian), the Fu River and Baigou River, to explore the influence of tributaries on the quality changes of ecological replenishment water in the mainstreams. In December 2020 and 2021, water samples were collected along the two river routes, and eutrophic parameters and heavy metals were determined. The results showed that the tributaries of the Fu River were all severely polluted. With the inflows of the tributaries, the comprehensive pollution index of eutrophication greatly increased along the replenished water route of the Fu River, and the replenished water in the lower reaches of the Fu River mainstream was mostly considered moderate to heavy pollution. Whereas, because the Baigou River's tributaries were only moderately polluted, the water quality in the Baigou River's replenished water was mostly better than moderate pollution. Due to the slight pollution of heavy metals in the tributaries, the replenished water in both the Fu and Baigou Rivers did not show any impact from heavy metal pollution. Correlation and principal component analysis indicated that the main sources of serious eutrophic pollution in the tributaries of the Fu and Baigou Rivers were related to domestic sewage, industrial wastewater, plant decay, and sediment release. This non-point source pollution then caused the decline in the quality of the replenished water in the mainstreams. This study exposed a long-standing but neglected problem in ecological water replenishment and provided a scientific foundation for conducting better water management to improve the inland water environment.
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Affiliation(s)
- Xu Yao
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
- Hebei Urban Forest Health Technology Innovation Center, Baoding, Hebei Province, China
| | - Zheng Wang
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
- Hebei Urban Forest Health Technology Innovation Center, Baoding, Hebei Province, China
| | - Wei Liu
- Baoding Sewerage Corporation, Baoding, Hebei Province, China
| | - Yao Zhang
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
| | - Tianhe Wang
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
| | - Yuling Li
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China.
- Hebei Urban Forest Health Technology Innovation Center, Baoding, Hebei Province, China.
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Aydın H, Tepe Y, Ustaoğlu F. A holistic approach to the eco-geochemical risk assessment of trace elements in the estuarine sediments of the Southeastern Black Sea. MARINE POLLUTION BULLETIN 2023; 189:114732. [PMID: 36841212 DOI: 10.1016/j.marpolbul.2023.114732] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
The estuarine sediments were sampled seasonally along the southeast coast of the Black Sea, to assess the concentrations, sources, distributions, and possible ecological risks of trace elements (TEs). The mean concentrations of TEs (mg/kg) were ranked as Fe (56,659.83) > Al (39,758.00) > Mn (1168.53) > Zn (155.03) > Cr (120.75) > Pb (93.71) > Cu (82.66) > Ni (44.93) > Co (17.98) > As (13.66) > Cd (0.99) > Hg (0.18), respectively. The stations S4 and S6 showed "very high contamination" for Pb, "significantly enrichment" for Pb and Cd, "high ecological risk" for Cd, and "heavily polluted" for Pb and Cd according to the results of CF, EF, Eri, Igeo, respectively. The rest of the stations were in the low or moderate contamination through the all seasons as assessed by different eco-geochemical risk assessment indices. The integrated risk evaluation indices indicated no contamination in stations S3 and S5.
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Affiliation(s)
- Handan Aydın
- Department of Biology, Faculty of Arts and Science, Giresun University, Güre Campus, Giresun 28200, Turkey
| | - Yalçın Tepe
- Department of Biology, Faculty of Arts and Science, Giresun University, Güre Campus, Giresun 28200, Turkey.
| | - Fikret Ustaoğlu
- Department of Biology, Faculty of Arts and Science, Giresun University, Güre Campus, Giresun 28200, Turkey
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Wang S, Zhou Y, You X, Wang B, Du L. Quantification of the antagonistic and synergistic effects of Pb 2+, Cu 2+, and Zn 2+ bioaccumulation by living Bacillus subtilis biomass using XGBoost and SHAP. JOURNAL OF HAZARDOUS MATERIALS 2023; 446:130635. [PMID: 36584648 DOI: 10.1016/j.jhazmat.2022.130635] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/25/2022] [Accepted: 12/17/2022] [Indexed: 06/17/2023]
Abstract
Bioaccumulation and adsorption are efficient methods for removing heavy metal ions (HMIs) from aqueous environments. However, methods to quantifiably characterize the removal selectivity for co-existing HMIs are limited. In this study, we applied Shapley additive explanations (SHAP) following extreme gradient boosting (XGBoost) modeling, to generate SHAP values. We used these values to create an affinity interference index (AII) that quantitatively represented the interference between metal ions in a multi-metal bioaccumulation system. The selectivity for simultaneous bioaccumulation of Pb2+, Cu2+, and Zn2+ by living Bacillus subtilis biomass was then characterized as a proof of concept. The AII indicated that the bioaccumulation of Zn2+ was more strongly inhibited by Pb2+/Cu2+ (AII = 1) than that of Pb2+/Cu2+ by Zn2+. Moreover, the presence of Zn2+ promoted the bioaccumulation of Pb2+ (AII = 0.39), which was confirmed in further experiments where the bioaccumulation of Pb2+ (300 μM) was increased by 38% with Zn2+ (300 μM). This study demonstrated that the combination of XGBoost and SHAP is effective in the quantifiable characterization of the antagonistic and synergistic effects in a multi-metal simultaneous bioaccumulation system. This method could also be generalized to similar tasks for analyzing the selectivity effects in a multi-component system.
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Affiliation(s)
- Sheng Wang
- Institute of Eco-Environmental Sciences, Wenzhou Academy of Agricultural Sciences, Wenzhou 325006, Zhejiang, PR China.
| | - Ying Zhou
- Institute of Eco-Environmental Sciences, Wenzhou Academy of Agricultural Sciences, Wenzhou 325006, Zhejiang, PR China
| | - Xinxin You
- Institute of Eco-Environmental Sciences, Wenzhou Academy of Agricultural Sciences, Wenzhou 325006, Zhejiang, PR China
| | - Bing Wang
- Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, Zhejiang, PR China
| | - Linna Du
- College of Advanced Materials Engineering, Jiaxing Nanhu Univerisity, Jiaxing 314001, Zhejiang, PR China.
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Cui J, Cui J, Li J, Wang W, Xu B, Yang J, Li B, Chang Y, Liu X, Yao D. Improving earthworm quality and complex metal removal from water by adding aquatic plant residues to cattle manure. JOURNAL OF HAZARDOUS MATERIALS 2023; 443:130145. [PMID: 36368070 DOI: 10.1016/j.jhazmat.2022.130145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/26/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Vermicomposting is an economical and environmentally friendly process. However, related knowledge of vermicomposting aquatic plant residues (APRs), earthworm quality, and mechanisms for metal removal from water is still lacking. Nelumbo and Oenanthe javanica residues and their mixture were treated with Eisenia foetida and cattle manure for 45 days. Compared with the control comprising only cattle manure, addition of the APR mixture improved earthworm quality, mainly for low crude ash, high alkaloid compounds and different fat compositions in the Nelumbo residue and the balanced protein proportion of the APR mixture. All the vermicompost especial O. javanica residue added (VO) played efficient roles in removing metals from water initially containing 2.0 mg Cu L-1 and 8.0 mg Zn L-1. There were higher removal efficiencies (Ers) at the dosage of 4 g L-1 with a small microbial contribution. VO significantly increased Ers, which could be from the decrease of phylum Firmicutes (especial Bacteroides) abundance, stronger CH2, C = O, and CH, the addition of COOH groups, and higher organic matter and total phosphorus contents. The combination of VO and Hippuris vulgaris was optimized as an ecological and economical method for treating complex-metal polluted water. Moreover, our study widened the route for APR reuse.
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Affiliation(s)
- Jian Cui
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China.
| | - Jianwei Cui
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China
| | - Jinfeng Li
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China
| | - Wei Wang
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China
| | - Bin Xu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Nanjing 210042, China
| | - John Yang
- Department of Agriculture and Environmental Science & Cooperative Research, Lincoln University of Missouri, Jefferson City, MO 65201, USA
| | - Bei Li
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China
| | - Yajun Chang
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China
| | - Xiaojing Liu
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China
| | - Dongrui Yao
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing Botanical Garden, Mem. Sun Yat-Sen, Jiangsu Engineering Research Center of Aquatic Plant Resources and Water Environment Remediation, Nanjing 210014, China.
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Gao S, Yang X, Ding Y, Xia Y, Song Y, Liu J, Pi K, Gerson AR. Electric field-enhanced immobilization of Cd and Pb in contaminated river sediments. CHEMOSPHERE 2023; 313:137493. [PMID: 36502917 DOI: 10.1016/j.chemosphere.2022.137493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/26/2022] [Accepted: 12/04/2022] [Indexed: 06/17/2023]
Abstract
The immobilization of heavy metal pollutants in river and lake sediments is critical for environmental health and safety. In this study, combined electrokinetic and chemical immobilization were used to remediate Cd and Pb polluted river sediments. The effect of the concentrations of the immobilization reagents and the applied voltage were investigated. Immobilization ratios for Cd and Pb of 98.6% and 84.3%, respectively, was achieved at 7.5 V cm-1 using seven successive rounds of recycling of the immobilization solution of mixed 1.0 g L-1 CO32- and 3.0 g L-1 H2PO4- at the volume ratio of 1:9 with 100 mL immobilization solution to 100 g sediment. The enhancement effect of the electric field is mainly attributed to the increased contact between the immobilization reagents and the heavy metals due to electroosmosis. This study provides a new method for the treatment of heavy metal-polluted sediments.
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Affiliation(s)
- Shan Gao
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Xiong Yang
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China; Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes, Wuhan, Hubei, 430068, China
| | - Yucheng Ding
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Yihui Xia
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Yumiao Song
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Jiaying Liu
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Kewu Pi
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China; Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes, Wuhan, Hubei, 430068, China.
| | - Andrea R Gerson
- Blue Minerals Consultancy, Wattle Grove, Tasmania, 7109, Australia
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Wang J, Ge J, Yang X, Cheng D, Yuan C, Liu Z, Yang S, Guo Y, Gu Y. Distribution and ecological risk assessment of heavy metals in sediments of Dajiuhu Lake Wetland in Shennongjia, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:25999-26011. [PMID: 36350440 DOI: 10.1007/s11356-022-23952-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
The rapid development of modern society has resulted in discharge of large, heavy metal quantities into wetlands that have been continuously accumulating, causing severe pollution. Dajiuhu, located in the Shennongjia Forest District of Hubei Province in China, is a wetland of significant value internationally, serving as a model wetland ecosystem with heightened scientific research value. In this study, 27 surface sediment samples from nine sub-lakes in Dajiuhu were collected in August 2020. The concentrations of Cd, Cr, Cu, Ni, Pb, and Zn in the sediments were determined. The heavy metal occurrence and speciation characteristics were analyzed by an improved BCR (European Community Bureau of Reference) extraction method. Four methods were used to evaluate heavy metals' pollution degree and ecological risk. The possible source of heavy metals was inferred using correlation analysis and principal component analysis. The heavy metal content in the lake sediments of Dajiuhu wetland was from the highest to the lowest concentration as follows: Zn [Formula: see text] Cr [Formula: see text] Ni [Formula: see text] Pb [Formula: see text] Cu [Formula: see text] Cd. The average Cd content exceeded the national nature reserve threshold values, while the other heavy metals measured were below their respective threshold values. However, due to the occurrence of Pb and Cd in different forms, they still pose certain pollution and ecological risk to the lake wetlands. On the other hand, Zn, Cr, Ni, and Cu do not pose an ecological risk in the lakes of the Dajiuhu wetland. The spatial distribution of heavy metal content in the nine sub-lakes did vary significantly. Regarding the heavy metal sources in the lake sediments, Ni, Cr, and Cu originate from natural factors, and Cd and Pb have mainly anthropogenic origins. In contrast, Zn has both natural and anthropogenic origins. This study provides further insights into the study of heavy metal pollution in lake wetlands. It provides a framework and a direction for managing heavy metal pollution in the Dajiuhu wetland.
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Affiliation(s)
- Jiumei Wang
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Laboratory of Basin Hydrology and Wetland Eco-Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Hubei Key Laboratory of Wetland Evolution and Ecological Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Institution of Ecology and Environmental Sciences, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
| | - Jiwen Ge
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China.
- Laboratory of Basin Hydrology and Wetland Eco-Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China.
- Hubei Key Laboratory of Wetland Evolution and Ecological Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China.
- Institution of Ecology and Environmental Sciences, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China.
| | - Xiaojing Yang
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Hubei Key Laboratory of Wetland Evolution and Ecological Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Institution of Ecology and Environmental Sciences, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
| | - Dandan Cheng
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Hubei Key Laboratory of Wetland Evolution and Ecological Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Institution of Ecology and Environmental Sciences, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
| | - Chenhao Yuan
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Meihang Remote Sensing Information Co. Ltd, Xi'an, 710199, China
| | - Ziwei Liu
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Laboratory of Basin Hydrology and Wetland Eco-Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Hubei Key Laboratory of Wetland Evolution and Ecological Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Institution of Ecology and Environmental Sciences, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
| | - Shiyu Yang
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Laboratory of Basin Hydrology and Wetland Eco-Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Hubei Key Laboratory of Wetland Evolution and Ecological Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Institution of Ecology and Environmental Sciences, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
| | - Yan Guo
- School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, 710199, China
| | - Yansheng Gu
- School of Environmental Studies, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Hubei Key Laboratory of Wetland Evolution and Ecological Restoration, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
- Institution of Ecology and Environmental Sciences, China University of Geosciences, 68 Jincheng Street, Hongshan District, Wuhan, 430074, Hubei Province, China
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