1
|
Nakagawa K, Islam MS, Shah SSH, Li Z, Takao Y, Berndtsson R. Relationship between nitrate, heavy metal, and sterols contents in Japanese agricultural soils with risk of groundwater pollution. CHEMOSPHERE 2024; 361:142335. [PMID: 38754494 DOI: 10.1016/j.chemosphere.2024.142335] [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: 02/02/2024] [Revised: 05/11/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
In Japanese agricultural lands, nitrate-nitrogen contamination of soil and groundwater often occurs due to the application of livestock excrements and compost. Therefore, rural soils in Japan were sampled and analyzed for nitrate-nitrogen leaching, heavy metal content, and sterols associated with livestock excrement and compost to calculate contamination risk indicators. The results were analyzed using self-organizing maps and cluster analysis. Nitrate-nitrogen content using water extraction was detected in most of the sampled soils. In addition, many samples from areas that were already severely contaminated with nitrate-nitrogen showed particularly high concentrations. Coprostanol, an indicator of fecal contamination, was detected in more than half of the samples. The main source of nitrate-nitrogen contamination in these areas is livestock excrement and compost. Self-organization maps showed that areas with high nitrate-nitrogen contamination also corresponded to areas with high copper and zinc soil contents. The self-organization maps and cluster analysis resulted in five clusters: a nitrate-contaminated group mainly originating from livestock excrement and compost, a heavy metal-contaminated group, a general group, a nitrate-contaminated group mainly originating from chemical fertilizers, and a contaminated group with potentially hazardous substances requiring attention. Authorities and decision-makers can use the results to prioritize areas requiring remediation.
Collapse
Affiliation(s)
- Kei Nakagawa
- Institute of Integrated Science and Technology, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki, 852-8521, Japan.
| | - M Shahidul Islam
- Graduate School of Fisheries and Environmental Sciences, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki, 852-8521, Japan; Department of Chemistry, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Syed Shabbar Hussain Shah
- Graduate School of Fisheries and Environmental Sciences, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki, 852-8521, Japan
| | - Zhuolin Li
- Graduate School of Fisheries and Environmental Sciences, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki, 852-8521, Japan
| | - Yuji Takao
- Institute of Integrated Science and Technology, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki, 852-8521, Japan
| | - Ronny Berndtsson
- Division of Water Resources Engineering & Centre for Advanced Middle Eastern Studies, Lund University, Box 118, SE-221 00, Lund, Sweden
| |
Collapse
|
2
|
Porfadakari S, Jorfi S, Ravanbakhash M, Talepour N, Karimian R. Determination of geochemical baselines and evaluation of potentially toxic elements in agricultural soils of Ramhormoz Plain, Iran. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:3011-3024. [PMID: 38007814 DOI: 10.1080/09603123.2023.2283060] [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: 04/18/2023] [Accepted: 11/08/2023] [Indexed: 11/28/2023]
Abstract
The present study was conducted to investigate the heavy metal pollution status of the agricultural soils in Ramhormoz Plain, Khuzestan province, Iran. A total of 54 samples from the depths (0-20 cm) of the soil were collected from the selected areas in (March) 2021. According to the obtained results, the concentrations of As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn, Al in soil samples were 1.3, 0.68, 60, 10.6, 0.01, 218, 23, 3.65, 14 and 0.58 mg/kg, respectively, in which As showed significant soil contamination and Cu, Hg, Mn, Ni, Pb, Zn and Al moderate contamination according to the calculation of contamination factor (CF). PCA analysis revealed that both anthropogenic and natural sources of pollution like agricultural and transport activities contributed to the enrichment of study area. Investigation of ecological risk indicated that Ramhormoz Plain was categorized as a high risk area.
Collapse
Affiliation(s)
- Sudabeh Porfadakari
- Systems Environmental Health and Energy Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Sahand Jorfi
- Environmental technologies research center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maryam Ravanbakhash
- Environmental technologies research center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Nastaran Talepour
- Environmental technologies research center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Razieh Karimian
- Environmental technologies research center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| |
Collapse
|
3
|
Zhao J, Cao C, Chen X, Zhang W, Ma T, Irfan M, Zheng L. Source-specific ecological risk analysis and critical source identification of heavy metal(loid)s in the soil of typical abandoned coal mining area. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174506. [PMID: 38971251 DOI: 10.1016/j.scitotenv.2024.174506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/13/2024] [Accepted: 07/03/2024] [Indexed: 07/08/2024]
Abstract
Long-term coal mining activities in abandoned coal mining areas have resulted in the migration of large quantities of heavy metals into the surrounding soil environment, posing a threat to the regional ecological environment. This study focuses on the surface soil collected from a typical abandoned coal mining area. Methods such as the pollution index (PI) and potential ecological risk index (RI) were used to comprehensively evaluate the pollution levels and ecological risks of soil heavy metals. Geostatistical analysis and the APCS-MLR model were used to quantify the sources of soil heavy metals, and Nemerow integrated ecological risk (NIRI) model was coupled to apportion the ecological risks from different pollution sources. The results indicate that the average concentrations of Cd, As, and Zn are 4.58, 2.44, and 1.67 times the soil background values, respectively, while the concentrations of other heavy metals are below the soil background values. The soil of study area is strongly polluted by heavy metals, with the pollution level and ecological risk of Cd being significantly higher than those of other heavy metals. The NIRI calculation results show that the overall comprehensive ecological risk level is considerable, with sample points classified as relatively considerable, moderate, and low at 60.53 %, 36.84 %, and 2.63 %, respectively. The sources of soil heavy metals can be categorized into four types: traffic activities, natural sources, coal gangue accumulation, and a combined source of coal mining and agricultural activities, with contribution rates of 35.3 %, 36.1 %, 19.5 %, and 9.1 %, respectively. The specific source ecological risk assessment results indicate that coal gangue accumulation contributes the most to ecological risk (36.4 %) and should be prioritized for pollution control, with Cd being the priority control element for ecological risk. The findings provide theoretical support for the refined management of soil heavy metal pollution in abandoned coal mining areas.
Collapse
Affiliation(s)
- Jiyang Zhao
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei 230601, China
| | - Chengying Cao
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei 230601, China
| | - Xing Chen
- School of Environment and Energy, Anhui Jianzhu University, Hefei 230093, China
| | - Wanyu Zhang
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei 230601, China
| | - Tianqi Ma
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei 230601, China
| | - Muhammad Irfan
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei 230601, China
| | - Liugen Zheng
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei 230601, China.
| |
Collapse
|
4
|
Li D, Ding Y, Zhang Y, Zhang X, Feng L, Zhang Y. Heavy metals in a typical industrial area-groundwater system: Spatial distribution, microbial response and ecological risk. CHEMOSPHERE 2024; 360:142339. [PMID: 38754488 DOI: 10.1016/j.chemosphere.2024.142339] [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: 02/27/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
The environmental burden due to industrial activities has been quite observable in the last few years, with heavy metals (HMs) like lead, cadmium, and arsenic inducing serious perturbations to the microbial ecosystem of groundwater. Studies carried out in North China, a region known for interconnection of industrial and groundwater systems, sought to explore the natural mechanisms of adaptation of microbes to groundwater contamination. The results showed that heavy metals permeate from surface increased the diversity and abundance of microbial communities in groundwater, producing an average decrease of 40.84% and 34.62% in the relative abundance of Bacteroidetes and Proteobacteria in groundwater, respectively. Meanwhile, the key environmental factors driving the evolution of microbial communities shift from groundwater nutrients to heavy metals, which explained 50.80% of the change in the microbial community composition. Microbial indicators are more sensitive to HMs pollution and could accurately identify industrial area where HMs permeation occurred and other extraneous pollutants. The phylum Bacteroidetes could act as appropriate indicators for the identification. Significant genera that were identified, being Mesorhizobium, Clostridium, Bacillus and Mucilaginibacter, were found to play important roles in the microbial network in terms of the potential to assist in groundwater clean-up. Notably, pollution from heavy metals has diminished the effectiveness and resilience of microbial communities in groundwater, thereby heightening the susceptibility of these normally stable microbial ecosystems. These findings offer new perspectives on how to monitor and detect groundwater pollution, and provide scientific guidance for developing suitable remediation methods for groundwater contaminated with heavy metals. Future research is essential explore the application of metal-tolerant or resistant bacteria in bioremediation strategies to rehabilitate groundwater systems contaminated by HMs.
Collapse
Affiliation(s)
- Dong Li
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Institute of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Yang Ding
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Institute of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Yi Zhang
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Institute of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Xinying Zhang
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Institute of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Liuyuan Feng
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Institute of Water Resources and Environment, Jilin University, Changchun, 130021, China
| | - Yuling Zhang
- Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun, 130021, China; Institute of Water Resources and Environment, Jilin University, Changchun, 130021, China.
| |
Collapse
|
5
|
Fei X, Lou Z, Sheng M, Lv X, Ren Z, Xiao R. Different "nongrain" activities affect the accumulation of heavy metals and their source-oriented health risks on cultivated lands. ENVIRONMENTAL RESEARCH 2024; 251:118642. [PMID: 38485078 DOI: 10.1016/j.envres.2024.118642] [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: 10/18/2023] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 03/17/2024]
Abstract
"Nongrain" production on cultivated land is one of the primary environmental issues in China. Different "nongrain" activities may introduce different pollution sources to the local environment, leading to variations in heavy metal contents in soil, which can profoundly impact national food security. In this study, three typical "nongrain" regions (Nanxun (NX), Xiaoshan (XS) and Lin'an (LA)) with intensive aquaculture, tea planting and flower (seedling) growth on cultivated land around the Hangzhou metropolitan area were selected to address the spatial heterogeneity of accumulation levels, sources and source-oriented health risks of heavy metals in soil. The results showed that Hg was the main pollutant in NX and XS, while Cd and As were the major contaminants in LA. Aquiculture and sericultural industries (37.43%), natural sources (23.59%) and industrial activities (38.99%) were the major sources in NX; atmospheric deposition (37.73%), flower and seedling planting (23.49%) and metal-related industries (35.16%) were the major sources in XS; and atmospheric deposition (28.06%), excessive application of fertilizers and pesticides during tea planting (43.47%) and natural sources (28.47%) were the major sources in LA. The major risk population, area, exposure route and hazardous elements were children, LA, ingestion and As and Cr, respectively. From the perspective of source-based health risk assessment, in addition to natural sources that are difficult to intervene in, industrial activities, especially leather and wood process industries, metal-related industries and excessive fertilizer and pesticide application during tea planting contributed the most to the total health risk, which explained 67%, 41% and 42%, respectively, of the total risk in NX, XS and LA. High health risks are present in sources with heavy loadings of hazardous heavy metals (As and Cr); thus, to protect human health, the corresponding high-risk anthropogenic pollution sources in different "nongrain" areas need to be controlled.
Collapse
Affiliation(s)
- Xufeng Fei
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China.
| | - Zhaohan Lou
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Meiling Sheng
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Xiaonan Lv
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Zhouqiao Ren
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Rui Xiao
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
| |
Collapse
|
6
|
Zhang Y, Jiang B, Gao Z, Wang M, Feng J, Xia L, Liu J. Health risk assessment of soil heavy metals in a typical mining town in north China based on Monte Carlo simulation coupled with Positive matrix factorization model. ENVIRONMENTAL RESEARCH 2024; 251:118696. [PMID: 38493860 DOI: 10.1016/j.envres.2024.118696] [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: 01/12/2024] [Revised: 03/02/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024]
Abstract
The accumulation of heavy metals (HMs) in soil caused by mineral resource exploitation and its ancillary industrial processes poses a threat to ecology and public health. Effective risk control measures require a quantification of the impacts and contributions to health risks from individual sources of soil HMs. Based on high-density sampling, soil contamination risk indexes, positive matrix factorization (PMF) model, Monte Carlo simulation and human health risk analysis model were applied to investigate the risk of HMs in a typical mining town in North China. The results showed that As was the most dominant soil pollutant factor, Cd and Hg were the most dominant soil ecological risk factors, and Cr and Ni were the most dominant health risk factors in the study area. Overall, both pollution and ecological risks were at low levels, while there were still some higher hazard areas located in the central and south-central part of the region. According to the probabilistic health risk assessment (HRA), children suffered greater health risks than adults, with 21.63% of non-carcinogenic risks and 53.24% of carcinogenic risks exceeding the prescribed thresholds (HI > 1 and TCR>1E-4). The PMF model identified five potential sources: fuel combustion (FC), processing of building materials with limestone as raw materials (PBML), industry source (IS), iron ore mining combined with garbage (IOG), and agriculture source (AS). PBML is the primary source of soil HM contamination, as well as the major anthropogenic source of carcinogenic risk for all populations. Agricultural inputs associated with As are the major source of non-carcinogenic risk. This study offers a good example of probabilistic HRA using specific sources, which can provide a valuable reference for strategy establishment of pollution remediation and risk prevention and control.
Collapse
Affiliation(s)
- Yuqi Zhang
- College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
| | - Bing Jiang
- The Fourth Geological Brigade of Shandong Provincial Bureau of Geology and Mineral Resources, Weifang 261021, China; Key Laboratory of Coastal Zone Geological Environment Protection of Shandong Geology and Mineral Exploration and Development Bureau, Weifang 261021, China.
| | - Zongjun Gao
- College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
| | - Min Wang
- College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
| | - Jianguo Feng
- College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
| | - Lu Xia
- College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
| | - Jiutan Liu
- College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
| |
Collapse
|
7
|
Banerjee S, Ghosh S, Chakraborty S, Sarkar D, Datta R, Bhattacharyya P. Synergistic impact of bioavailable PHEs and alkalinity on microbial diversity and traits in agricultural soil adjacent to chromium-asbestos mines. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 350:124021. [PMID: 38657890 DOI: 10.1016/j.envpol.2024.124021] [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: 12/02/2023] [Revised: 04/15/2024] [Accepted: 04/20/2024] [Indexed: 04/26/2024]
Abstract
Soil microbial communities undergo constant fluctuations, particularly in response to environmental factors. Although the deposition of toxic mine waste is recognized for introducing potentially hazardous elements (PHEs) into the soil, its specific impacts on microbial communities remain unclear. This study aims to explore the combined effects of soil alkalinity and bioavailable PHEs on microbial diversity and traits in agricultural soil adjacent to a chromium-asbestos mining area. By employing a comprehensive analysis, this study indicated that microbiological attributes were reduced in contaminated areas (zone 1), whereas both the levels of bioavailable PHEs (CrWs: 31.08 mg/kg, NiWs: 13.90 mg/kg) and alkalinity indices (CROSS, MCAR, MH) were significantly higher. The spatial distribution of soil alkalinity and bioavailable PHEs, primarily originating from chromium-asbestos mines, has been determined. This study also elucidates the negative relationship between soil stressors (Alkalinity and PHEs) and microbial activities (soil enzymatic activity, microbial respiration, and biomass carbon). The vector's length exhibited a notable difference between zone 1 (0.51) and zone 2 (0.32), indicating a substantial limitation on carbon (C). Also, the investigation of soil bacterial diversity unveiled notable disparities in the prevalence of microbial populations inside zone 1. Proteobacteria constituted 57.18% of the total population indicating a noteworthy prevalence in the contaminated soils. Finally, the random forest (RF) algorithm from machine learning was selected and proven to be a robust choice in Taylor diagrams for predicting the causative stressors responsible for the deterioration of soil microbial health. Therefore, this research offers insights into the health and resilience of soil microbial communities under synergistic stress conditions, which will aid environmentalists in planning future interventions and improving sustainable farming techniques.
Collapse
Affiliation(s)
- Sonali Banerjee
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand, 815301, India
| | - Saibal Ghosh
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand, 815301, India
| | - Shreya Chakraborty
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand, 815301, India
| | - Dibyendu Sarkar
- Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering, Hoboken, NJ, 07030, USA
| | - Rupali Datta
- Department of Biological Science, Michigan Technological University, Michigan, USA
| | - Pradip Bhattacharyya
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand, 815301, India.
| |
Collapse
|
8
|
Gopal V, Krishnamurthy RR, Indhumathi A, Sharon BTX, Priya TSD, Rathinavel K, Bharath KM, Magesh NS, Ayyamperumal R. Geochemical evaluation, ecological and human health risk assessment of potentially toxic elements in urban soil, Southern India. ENVIRONMENTAL RESEARCH 2024; 248:118413. [PMID: 38316388 DOI: 10.1016/j.envres.2024.118413] [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: 09/06/2023] [Revised: 01/26/2024] [Accepted: 02/02/2024] [Indexed: 02/07/2024]
Abstract
Roadside soil contamination is mostly caused by human-caused pollutant deposition. PTEs are among the many substances that are harmful for both humans and the environment. PTE concentrations in roadside soil in Chennai, southern India, have been determined in this study. To evaluate the seriousness of the threats, more environmental and geochemical indices have been applied. 83 soil samples have been obtained from the study regions and focusing on important roads. Elemental analysis has been analyzed with ED-XRF and sieve-filtered samples focused on PTEs such as arsenic, barium, cobalt, chromium, copper, iron, potassium, nickel, lead, thorium, titanium, zinc, and uranium. Significant metallic variations have been found in soil samples around roads by the investigation. The elements this study examined section ascending in the following sequence: Fe > Ti > Zn > Cr > Pb > Cu > Ni > Th > As > U > K. In the research area, the CD classification denotes high contamination, whereas the CF indices show mild to significant pollution. PLI indicates moderate to high pollution, whereas EF suggests excessive enrichment. Igeo demonstrates a range from uncontaminated to highly contaminated. PERI showed high levels in the northern study region, whereas GUFI shows several hot spots indicating moderate to severe pollution. The Hazard Index (HI) values for all metals were less than one, demonstrating the absence of non-carcinogenic risks for both adults and children. Multivariate data show natural and anthropogenic PTEs in roadside soil. In addition, a soil quality monitoring system is needed to mitigate continual contamination risks.
Collapse
Affiliation(s)
- V Gopal
- Centre for Earth and Atmospheric Sciences (CEAS), Sathyabama Institute of Science and Technology Deemed to Be University, Chennai, 600 119, Tamil Nadu, India.
| | - R R Krishnamurthy
- Department of Applied Geology, University of Madras, Guindy Campus, Chennai, 600 025, Tamil Nadu, India
| | - A Indhumathi
- Department of Applied Geology, University of Madras, Guindy Campus, Chennai, 600 025, Tamil Nadu, India
| | - Beenu T X Sharon
- Department of Applied Geology, University of Madras, Guindy Campus, Chennai, 600 025, Tamil Nadu, India
| | - T S Derlin Priya
- Department of Applied Geology, University of Madras, Guindy Campus, Chennai, 600 025, Tamil Nadu, India
| | - K Rathinavel
- Department of Applied Geology, University of Madras, Guindy Campus, Chennai, 600 025, Tamil Nadu, India
| | - K Manikanda Bharath
- Department of Civil & Environmental Engineering, National Institute of Technical Teachers Training and Research (NITTTR), (Ministry of Education, Govt. of India), Anna University, Chennai, 600 025, Tamil Nadu, India
| | - N S Magesh
- Centre for Water Resources Development and Management, Kozhikode, 673 571, Kerala, India
| | | |
Collapse
|
9
|
Yu J, Liu X, Yang B, Li X, Wang P, Yuan B, Wang M, Liang T, Shi P, Li R, Cheng H, Li F. Major influencing factors identification and probabilistic health risk assessment of soil potentially toxic elements pollution in coal and metal mines across China: A systematic review. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 274:116231. [PMID: 38503102 DOI: 10.1016/j.ecoenv.2024.116231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/08/2024] [Accepted: 03/14/2024] [Indexed: 03/21/2024]
Abstract
Deposition of potentially toxic elements (PTEs) in soils due to different types of mining activities has been an increasingly important concern worldwide. Quantitative differences of soil PTEs contamination and related health risk among typical mines remain unclear. Herein, data from 110 coal mines and 168 metal mines across China were analyzed based on 265 published literatures to evaluate pollution characteristics, spatial distribution, and probabilistic health risks of soil PTEs. The results showed that PTE levels in soil from both mine types significantly exceeded background values. The geoaccumulation index (Igeo) revealed metal-mine soil pollution levels exceeded those of coal mines, with average Igeo values for Cd, Hg, As, Pb, Cu, and Zn being 3.02-15.60 times higher. Spearman correlation and redundancy analysis identified natural and anthropogenic factors affecting soil PTE contamination in both mine types. Mining activities posed a significant carcinogenic risk, with metal-mine soils showing a total carcinogenic risk an order of magnitude higher than in coal-mine soils. This study provides policymakers a quantitative foundation for developing differentiated strategies for sustainable remediation and risk-based management of PTEs in typical mining soils.
Collapse
Affiliation(s)
- Jingjing Yu
- College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Xiaoyang Liu
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
| | - Bin Yang
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Xiaodong Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Panpan Wang
- College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Bei Yuan
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Minghao Wang
- China Metallurgical Industry Planning and Research Institute, Beijing 100013, China
| | - Tian Liang
- College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Pengfei Shi
- College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Renyou Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; School of Ecology and Environment, Inner Mongolia University, Inner Mongolia, 010020, China
| | - Hongguang Cheng
- College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Fasheng Li
- College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| |
Collapse
|
10
|
Yao C, Yang Y, Li C, Shen Z, Li J, Mei N, Luo C, Wang Y, Zhang C, Wang D. Heavy metal pollution in agricultural soils from surrounding industries with low emissions: Assessing contamination levels and sources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170610. [PMID: 38307271 DOI: 10.1016/j.scitotenv.2024.170610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/04/2024]
Abstract
The potential for heavy metal (HM) pollution in agricultural soils adjacent to industries with elevated HM emissions has long been recognized. However, industries with relatively lower levels of HM emissions, such as alumina smelting and glass production, may still contribute to the pollution of surrounding agricultural soils through continuous, albeit low-level, emissions. Despite this, this issue has not garnered adequate attention thus far. Therefore, this study aimed to assess the extent of HM pollution in agricultural soils adjacent to an alumina smelting and a glass production factory, identifying contamination levels and potential sources through the analysis of input fluxes, isotope fingerprints, and receptor models. Results showed moderate cadmium (Cd) contamination in surface soil, exceeding standards at a rate of 86.36 %. Further analysis revealed that atmospheric deposition was the primary route for Cd input in both paddy fields (89.20 %) and dryland soils (91.61 %). Additionally, the δ114/110Cd values in surface soils indicated that dust played a role in influencing Cd levels in distant surface soils, while raw materials and slags were identified as primary sources near the factory. Industrial sources were considered the primary contributors of Cd in soil accounting for approximately 73.38 % and 82.67 %, respectively, according to the positive matrix factorization model (PMF) and absolute principal component scores-multiple linear regression model (APCS-MLR). Overall, this study underscores the importance of monitoring HMs from industries with relatively low emissions and provides a scientific basis for effectively managing HMs pollution in agricultural soils, ensuring the preservation of agricultural soil quality.
Collapse
Affiliation(s)
- Cong Yao
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Yidan Yang
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Caixia Li
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Zhijie Shen
- China Merchants Ecological Environmental Protection Technology Co., LTD, Chongqing 400067, China
| | - Jieqin Li
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Nan Mei
- Chongqing Municipal Solid Waste Management Center, Chongqing 401147, China
| | - Chengzhong Luo
- Chongqing Municipal Solid Waste Management Center, Chongqing 401147, China
| | - Yongmin Wang
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Cheng Zhang
- College of Resources and Environment, Southwest University, Chongqing 400715, China.
| | - Dingyong Wang
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| |
Collapse
|
11
|
Sun L, Liu T, Duan L, Tong X, Zhang W, Cui H, Wang Z, Zheng G. Spatial and temporal distribution characteristics and risk assessment of heavy metals in groundwater of Pingshuo mining area. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:141. [PMID: 38491301 DOI: 10.1007/s10653-024-01906-7] [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] [Accepted: 02/08/2024] [Indexed: 03/18/2024]
Abstract
Groundwater pollution in the Pingshuo mining area is strongly associated with mining activities, with heavy metals (HMs) representing predominant pollutants. To obtain accurate information about the pollution status and health risks of groundwater, 189 groups of samples were collected from four types of groundwater, during three periods of the year, and analyzed for HMs. The results showed that the concentration of HMs in groundwater was higher near the open pit, waste slag pile, riverfront area, and human settlements. Except for Ordovician groundwater, excessive HMs were found in all investigated groundwater of the mining area, as compared with the standard thresholds. Fe exceeded the threshold in 13-75% of the groundwater samples. Three sources of HMs were identified and quantified by Pearson's correlation analysis and the PMF model, including coal mining activities (68.22%), industrial, agricultural, and residential chemicals residue and leakage (16.91%), and natural sources (14.87%). The Nemerow pollution index revealed that 7.58% and 100% of Quaternary groundwater and mine water samples were polluted. The health risk index for HMs in groundwater showed that the non-carcinogenic health risk ranged from 0.18 to 0.42 for adults, indicating an acceptable level. Additionally, high carcinogenic risks were identified in Quaternary groundwater (95.45%), coal series groundwater (91.67%), and Ordovician groundwater (26.67%). Both carcinogenic and non-carcinogenic risks were greater for children than adults, highlighting their increased vulnerability to HMs in groundwater. This study provides a scientific foundation for managing groundwater quality and ensuring drinking water safety in mining areas.
Collapse
Affiliation(s)
- Long Sun
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Tingxi Liu
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China.
- Inner Mongolia Key Laboratory of Water Resource Protection and Utilization, Hohhot, 010018, China.
| | - Limin Duan
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Inner Mongolia Key Laboratory of Water Resource Protection and Utilization, Hohhot, 010018, China
| | - Xin Tong
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Inner Mongolia Key Laboratory of Water Resource Protection and Utilization, Hohhot, 010018, China
| | - Wenrui Zhang
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - He Cui
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Zhiting Wang
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Guofeng Zheng
- College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
| |
Collapse
|
12
|
Zhang L, Zhu Y, Zhang Y, Zhong J, Li J, Yang S, Ta W, Zhang Y. Characteristics, source analysis, and health risk assessment of potentially toxic elements pollution in soil of dense molybdenum tailing ponds area in central China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:129. [PMID: 38483651 DOI: 10.1007/s10653-024-01886-8] [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: 12/18/2023] [Accepted: 01/24/2024] [Indexed: 03/19/2024]
Abstract
The issue of potentially toxic elements (PTEs) contamination of regional soil caused by mining activities and tailings accumulation has attracted wide attention all over the world. The East Qinling is one of the three main molybdenum mines in the world, and the concentration of PTEs such as Hg, Pb and Cu in the slag is high. Quantifying the amount of PTEs contamination in soil and identifying potential sources of contamination is vital for soil environmental management. In the present investigation, the pollution levels of 8 PTEs in the Qinling molybdenum tailings intensive area were quantitatively identified. Additionally, an integrated source-risk method was adopted for resource allocation and risk assessment based on the PMF model, the ecological risk, and the health risk assessment model. The mean concentrations of Cu, Ni, Pb, Cd, Cr, Zn, As, and Hg in the 80 topsoil samples ranged from 0.80 to 13.38 times the corresponding background values; notably high levels were observed for Pb and Hg. The source partitioning results showed that PTEs were mainly affected by four pollution sources: natural and agricultural sources, coal-burning sources, combined transport and mining industry sources, and mining and smelting sources. The health risk assessment results revealed that the risks of soil PTEs for adults are acceptable, while the risks for children exceeded the limit values. The obtained results will help policymakers to obtain the sources of PTEs of tailing ponds intensive area. Moreover, it provides priorities for the governance of subsequent pollution sources and ecological restoration.
Collapse
Affiliation(s)
- Liyuan Zhang
- School of Water and Environment, Chang'an University, Xi'an, China
- Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of the Ministry of Education, Chang'an University, Xi'an, China
- Key Laboratory of Eco-Hydrology and Water Security in Arid and Semi-Arid Regions of Ministry of Water Resources, Chang'an University, Xi'an, China
| | - Yuxi Zhu
- School of Water and Environment, Chang'an University, Xi'an, China
| | - Yanan Zhang
- School of Water and Environment, Chang'an University, Xi'an, China
| | - Jiahao Zhong
- School of Water and Environment, Chang'an University, Xi'an, China
| | - Jiangwei Li
- School of Water and Environment, Chang'an University, Xi'an, China
| | - Shitong Yang
- School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Weiyuan Ta
- Shaanxi Environmental Investigation and Assessment Center, Xi'an, China
| | - Yue Zhang
- School of Architecture, Chang'an University, Xi'an, China.
| |
Collapse
|
13
|
Boumaza B, Kechiched R, Chekushina TV, Benabdeslam N, Senouci K, Hamitouche AE, Merzeg FA, Rezgui W, Rebouh NY, Harizi K. Geochemical distribution and environmental assessment of potentially toxic elements in farmland soils, sediments, and tailings from phosphate industrial area (NE Algeria). JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133110. [PMID: 38086303 DOI: 10.1016/j.jhazmat.2023.133110] [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: 09/03/2023] [Revised: 11/10/2023] [Accepted: 11/26/2023] [Indexed: 02/08/2024]
Abstract
This study investigates the extent and spatial distribution of Potentially Toxic Elements (PTEs) in the Djebel Onk phosphate mine area in south-eastern Algeria, as well as the associated risks to human health. Various scales are considered and sampled, including tailing waste (n = 8), surrounding farmland soil (n = 21), and sediments (n = 5). The samples were mineralogically and chemically analyzed using XRD, FTIR, XRF, and ICP-MS techniques. Principal Component Analysis (PCA) was applied after transforming the raw data into centered-log ratios (clr) to identify the dominant factors controlling the distribution of PTEs. Furthermore, pollution assessment was conducted using several indices, including geo-accumulation, pollution load, contamination security indices, and enrichment and contamination factors. The results reveal that the analyzed samples are mostly P-enriched in the mine tailings, farmland soil, and sediments, with P2O5 concentrations ranging from 13.37 wt% to 26.17 wt%, 0.91-21.70 wt%, and 17.04-29.41 wt%, respectively. The spatial distribution of PTEs exhibits clearly a decrease in the contents of CaO, P2O5, Cr, Sr, Cd, and U with increasing distance from the mine discharge site, while other oxides, such as MgO, Al2O3, SiO2, K2O, and Fe2O3, and associated elements (Cu, Co, Pb, and Zn), show an increase. PCA confirms the influence of minerals such as, apatite, dolomite, and silicates on the distribution PTEs. It denoted that the highest contamination level of all PTEs in soils and sediments was observed in the southern part of the plant and mine tailings compared to the northern part. In terms of human health risks, the assessment reveals that the hazard index (HI) values for both non-carcinogenic and carcinogenic risks associated with PTEs in the study area are below 1, suggesting no significant risk. However, regardless of the sample type, the lifetime cancer risk (LCR) values vary from 1.69E-05-2.11E-03 and from 1.03E-04-2.27E-04 for Cr, Ni, As (children) and Cd (adults), respectively, exceeding the safe levels recommended by the United States Environmental Protection Agency. The study highlights that oral ingestion poses the greatest risk, followed by dermal contact and particle inhalation. Importantly, all these indices decrease with increasing distance from the sampling site to the waste discharge point and the factory, which indicates that the phosphate mining activity had caused some extent risks. These findings provide valuable insights for mitigating the adverse health impacts and guiding environmental management efforts.
Collapse
Affiliation(s)
- Bilal Boumaza
- Academy of Engineering (RUDN University), Miklukho-Maklaya St, Moscow 117198, Russian Federation.
| | - Rabah Kechiched
- Laboratoire des Réservoirs Souterrains: Pétroliers, Gaziers et Aquifères, Université Kasdi Merbah Ouargla, 30000, Algeria
| | - Tatiana Vladimirovna Chekushina
- Academy of Engineering (RUDN University), Miklukho-Maklaya St, Moscow 117198, Russian Federation; Research Institute for Comprehensive Exploitation of Mineral Resources-IPKON, Russian Academy of Sciences, Kryukovskii tupik 4, Moscow 111020, Russia
| | - Nouara Benabdeslam
- Laboratoire de Technologie des Matériaux et de Génie des Procédés (LTMGP), Université Abderrahmane Mira Béjaïa, 06000, Algeria
| | - Khouloud Senouci
- Laboratory of Valorization of Mining Resources and Environment (LAVAMINE), University of Badji Mokhtar Annaba, 23000, Algeria
| | - Adh'ya-Eddine Hamitouche
- Centre de Recherche Scientifique et Technique en Analyses Physico-chimiques (CRAPC), BP 384-Bou-Ismail-RP, 42004 Tipaza, Algeria
| | - Farid Ait Merzeg
- Centre de Recherche Scientifique et Technique en Analyses Physico-chimiques (CRAPC), BP 384-Bou-Ismail-RP, 42004 Tipaza, Algeria
| | - Walid Rezgui
- Centre de Recherche Scientifique et Technique en Analyses Physico-chimiques (CRAPC), BP 384-Bou-Ismail-RP, 42004 Tipaza, Algeria
| | - Nazih Yacer Rebouh
- Department of Environmental Management, Institute of Environmental Engineering (RUDN University), 6 Miklukho-Maklaya St, Moscow 117198, Russian Federation
| | - Khaled Harizi
- Laboratoire de mobilisation et de gestion des ressources en eau (LMGRE), Université Batna II, 05000 Algeria
| |
Collapse
|
14
|
Fei X, Lou Z, Sheng M, Xiaonan L, Ren Z, Xiao R. Quantitative heterogeneous source apportionment of toxic metals through a hybrid method in spatial random fields. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133530. [PMID: 38232550 DOI: 10.1016/j.jhazmat.2024.133530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/19/2024]
Abstract
Toxic metals in soils pose hazards to food security and human health. Accurate source apportionment provides foundation for pollution prevention. In this study, a novel hybrid method that combines positive matrix factorization, Bayesian maximum entropy and integrative predictability criterion is proposed to provide a new perspective for exploring the heterogeneity of pollution sources in spatial random fields. The results suggest that Cd, As and Cu are the predominant pollutants, with exceedance rates of 27%, 12% and 11%, respectively. The new method demonstrates superiority in predicting toxic metals when combined major and all sources as auxiliary information., with the improvements of 44% and 46%, respectively, Although the major sources identified with the hybrid method are the primary contributors to the accumulation of toxic metals (e.g. coal combustion for Hg, traffic emission for Pb and Zn, industrial activities for As, agricultural activities for Cd and Cu and natural sources for Cr and Ni), the impact of nonmajor sources on toxic metal sin specific regions should not be ignored (e.g. industrial activities on Ni, Pb and Zn in the north and natural sources on Cd, Cu, As, Pb and Zn in the south). For better pollution control, specific local sources should be considered.
Collapse
Affiliation(s)
- Xufeng Fei
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Zhaohan Lou
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Meiling Sheng
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Lv Xiaonan
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Zhouqiao Ren
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China.
| | - Rui Xiao
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
| |
Collapse
|
15
|
Xia F, Zhao Z, Niu X, Wang Z. Integrated pollution analysis, pollution area identification and source apportionment of heavy metal contamination in agricultural soil. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133215. [PMID: 38101021 DOI: 10.1016/j.jhazmat.2023.133215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
Given the global prevalence of soil heavy metal contamination, knowledge concerning of soil environmental quality assessment, pollution area identification and source apportionment is critical for implementation of soil pollution prevention and safe utilization strategies. In this study, soil static environmental capacity (QI) for heavy metals was selected to evaluate pollution risks in agricultural soils of Wenzhou, southeast China. Combined with geostatistical methods, the pollution area was identified along with uncertainty analysis. Potential sources were quantitatively apportioned using a positive matrix factorization model (PMF). Results showed that agricultural soils in this study were mainly contaminated by Cd and Pb based on both Nemerow and QI indices. The environmental capacity assessment found more than 90% areas were identified as polluted soils for Qi-Zn, Qi-Cd and Qi-Pb, with minor uncertain areas. Cu was identified as having a high proportion of uncertain pollution area status, which was similar to the results of the integrated environmental capacity for all metals. PMF results indicated that industrial discharge, agrochemicals and parent material accounted for 32.1%, 32.2% and 35.7% of heavy metal accumulation in soils, respectively. Implementation of strict policies to reduce anthropogenic source emissions and remediate soil pollution are crucial to minimize metal pollution inputs, improve agricultural soil quality and enhance food safety.
Collapse
Affiliation(s)
- Fang Xia
- School of Life and Environmental Science, Shaoxing University, Shaoxing 312000, China; Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China
| | - Zefang Zhao
- School of Life and Environmental Science, Shaoxing University, Shaoxing 312000, China
| | - Xiang Niu
- Shaoxing Academy of Agricultural Science, Shaoxing 312003, China
| | - Zhenfeng Wang
- Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.
| |
Collapse
|
16
|
Bala N, Pakade YB, Mahurkar M, Kadaverugu R, Minakshi, Katnoria JK. Spatial distribution and source identification of metal contaminants in soil and rice grain samples: a study on exploration of soil quality and risk assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:260. [PMID: 38349567 DOI: 10.1007/s10661-024-12434-3] [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: 11/01/2023] [Accepted: 02/02/2024] [Indexed: 02/15/2024]
Abstract
The present study aims to assess soil quality and potential health risks associated with soil pollution of the Batala region of Punjab, India. Physico-chemical parameters such as pH (6.69-7.43), electrical conductivity (0.17-0.33 mS/cm), and total organic carbon (1.01-5.94%) were observed to be within permissible limits. The maximum mean content (mg/kg) of heavy metals in soil was found as Fe (4060.93), Zn (444.33), Mn (278.5), Pb (23.16), Cu (21.78), Ni (20.16), Co (7.14), and Cd (1.85) which were below the prescribed limits but beyond the geochemical background limits of world soil. For rice grain samples, metal content (mg/kg) was seen as Fe (307.01) > Zn (12.41) > Mn (7.43) > Cu (4.57) and was below the permissible limits. The mean bioaccumulation factor for various metals was in the order as Zn > Cu > Fe > Mn. Single and integrated soil pollution indices revealed that among 18 sites, six were highly contaminated. The ecological risk index (Er) has shown that contamination of soil with Cd, Zn, and Ni was higher than that of other metals studied. The estimated daily intake of metal (EDI), hazard quotient (HQ), and hazard index (HI) were higher for children than those for adults. Spatial variability based on metal pollution load and soil quality was also determined using cluster analysis (CA) and principal component analysis (PCA). During CA, soil samples from 18 sites formed three statistically significant clusters based on the level of metal pollution at the specific site. PCA showed that all variables were reduced into two main components 1 and 2 with eigenvalues as 3.82 (47% variance) and 1.53 (19.7% variance), respectively.
Collapse
Affiliation(s)
- Neeru Bala
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, 143005, Punjab, India
| | - Yogesh B Pakade
- Cleaner Technology and Modelling Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur, Maharashtra, 440020, India
| | - Mohit Mahurkar
- Cleaner Technology and Modelling Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur, Maharashtra, 440020, India
| | - Rakesh Kadaverugu
- Cleaner Technology and Modelling Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur, Maharashtra, 440020, India
| | - Minakshi
- Punjab Remote Sensing Centre, Ludhiana, 141001, Punjab, India
| | - Jatinder Kaur Katnoria
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, 143005, Punjab, India.
| |
Collapse
|
17
|
Pan Y, Han W, Shi H, Liu X, Xu S, Li J, Peng H, Zhao X, Gu T, Huang C, Peng K, Wang S, Zeng M. Incorporating environmental capacity considerations to prioritize control factors for the management of heavy metals in soil. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119820. [PMID: 38113783 DOI: 10.1016/j.jenvman.2023.119820] [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: 10/22/2023] [Revised: 11/22/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
Heavy metals (HMs) pollution threatens food security and human health. While previous studies have evaluated source-oriented health risk assessments, a comprehensive integration of environmental capacity risk assessments with pollution source analysis to prioritize control factors for soil contamination is still lacking. Herein, we collected 837 surface soil samples from agricultural land in the Nansha District of China in 2019. We developed an improved integrated assessment model to analyze the pollution sources, health risks, and environmental capacities of As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn. The model graded pollution source impact on environmental capacity risk to prioritize control measures for soil HMs. All HMs except Pb exceeded background values and were sourced primarily from natural, transportation, and industrial activities (31.26%). Approximately 98.92% (children), 97.87% (adult females), and 97.41% (adult males) of carcinogenic values exceeded the acceptable threshold of 1E-6. HM pollution was classified as medium capacity (3.41 kg/hm2) with mild risk (PI = 0.52). Mixed sources of natural backgrounds, transportation, and industrial sources were identified as priority sources, and As a priority element. These findings will help prioritize control factors for soil HMs and direct resources to the most critical pollutants and sources of contamination, particularly when resources are limited.
Collapse
Affiliation(s)
- Yujie Pan
- College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Wenjing Han
- Geological Survey Research Institute, China University of Geosciences, Wuhan, 430074, China
| | - Huanhuan Shi
- School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China
| | - Xiaorui Liu
- China Electric Power Research Institute, Beijing, 100192, China
| | - Shasha Xu
- College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Jiarui Li
- College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Hongxia Peng
- School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China.
| | - Xinwen Zhao
- Wuhan Center of Geological Survey of China Geological Survey, Wuhan, 430205, China
| | - Tao Gu
- Wuhan Center of Geological Survey of China Geological Survey, Wuhan, 430205, China
| | - Chansgheng Huang
- Wuhan Center of Geological Survey of China Geological Survey, Wuhan, 430205, China
| | - Ke Peng
- Survey Affairs Center for Natural Resources and Planning of Yongzhou City, Yongzhou, 425000, China
| | - Simiao Wang
- College of Information Science and Engineering, Northeastern University, Shenyang, 314001, China
| | - Min Zeng
- Wuhan Center of Geological Survey of China Geological Survey, Wuhan, 430205, China.
| |
Collapse
|
18
|
El Fadili H, Ben Ali M, Rahman MN, El Mahi M, Lotfi EM, Louki S. Bioavailability and health risk of pollutants around a controlled landfill in Morocco: Synergistic effects of landfilling and intensive agriculture. Heliyon 2024; 10:e23729. [PMID: 38205322 PMCID: PMC10776943 DOI: 10.1016/j.heliyon.2023.e23729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024] Open
Abstract
Toxic contamination of agricultural soils by trace metal(oid)s can pose detrimental effects on human health and agroecological systems. In this view, the current research explored total and available metal(oid)s in surface soils and assessed the associated hazards using pollution indices, PMF modeling, PCA, and Montecarlo probabilistic human risk assessment with 10,000 repetitions. The mean concentrations of Cd, Pb, As, Cr, Ni, Cu, Zn, and Fe were 0.89, 24.86, 1.81, 19.10, 25.44, 7.98, 49.12 and 6183.32 mg kg-1 dry weight, respectively. These findings highlighted that the concentration of pollutants exceeded the values measured in the geochemical background. Soil enrichment by heavy metal (oid)s was confirmed by analyzing available fractions using DTPA ,CaCl2 and enrichment factor (EF). Additionally, pollution indicators (Igeo, PLI, and PERI) displayed significant contamination levels, with a higher ecological risk. Matrix Factorization (PMF) receptor and multivariate statistical analysis reflected that anthropogenic activities, particularly landfilling and agricultural practices were the main causes of the contamination. Furthermore, probabilistic and deterministic human risk assessments showed that carcinogenic risks exceeded the threshold values (10-4) set by the USEPA. Consequently, it is crucial to implement continuous monitoring and supervision of landfill sites to prevent additional pollution. These measures should be integrated into the management plans for waste management.
Collapse
Affiliation(s)
- Hamza El Fadili
- Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterials, Water and Environment, Materials for Environment Team, ENSAM, Mohammed V University in Rabat, Morocco
| | - Mohammed Ben Ali
- Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterials, Water and Environment, Materials for Environment Team, ENSAM, Mohammed V University in Rabat, Morocco
| | - Md Naimur Rahman
- Center for Archaeological Studies, University of Liberal Arts Bangladesh, Dhaka, Bangladesh
| | - Mohammed El Mahi
- Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterials, Water and Environment, Materials for Environment Team, ENSAM, Mohammed V University in Rabat, Morocco
| | - El Mostapha Lotfi
- Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterials, Water and Environment, Materials for Environment Team, ENSAM, Mohammed V University in Rabat, Morocco
| | - Sami Louki
- Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterials, Water and Environment, Materials for Environment Team, ENSAM, Mohammed V University in Rabat, Morocco
| |
Collapse
|
19
|
George II, Nawawi MGM, Mohd ZJ, Farah BS. Environmental effects from petroleum product transportation spillage in Nigeria: a critical review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:1719-1747. [PMID: 38055166 DOI: 10.1007/s11356-023-31117-z] [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: 08/06/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Abstract
Nigeria has struggled to meet sustainable development goals (SDGs) on environmental sustainability, transportation, and petroleum product distribution for decades, endangering human and ecological health. Petroleum product spills contaminate soil, water, and air, harming humans, aquatic life, and biodiversity. The oil and gas industry contributes to environmental sustainability and scientific and technological advancement through its supply chain activities in the transport and logistics sectors. This paper reviewed the effects of petroleum product transportation at three accident hotspots on Nigeria highway, where traffic and accident records are alarming due to the road axis connecting the southern and northern regions of the country. The preliminary data was statistically analysed to optimise the review process and reduce risk factors through ongoing data monitoring. Studies on Nigeria's petroleum product transportation spills and environmental impacts between the years 2013 and 2023 were critically analysed to generate updated information. The searches include Scopus, PubMed, and Google Scholar. Five hundred and forty peer-reviewed studies were analysed, and recommendations were established through the conclusions. The findings show that petroleum product transport causes heavy metal deposition in the environment as heavy metals damage aquatic life and build up in the food chain, posing a health risk to humans. The study revealed that petroleum product spills have far-reaching environmental repercussions and, therefore, recommended that petroleum product spills must be mitigated immediately. Furthermore, the study revealed that better spill response and stricter legislation are needed to reduce spills, while remediation is necessary to lessen the effects of spills on environmental and human health.
Collapse
Affiliation(s)
- Ikenna Ignatius George
- Department of Petroleum Engineering (FKT), Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, UTM JB, 81310, Skudai, Johor, Malaysia.
- Transport Technology Center, Nigerian Institute of Transport Technology, NITT, P. M. B. 1147, Kaduna State, Zaria, Nigeria.
| | - Mohd Ghazali Mohd Nawawi
- Department of Chemical Engineering, (FKT), Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, UTM JB, 81310, Skudai, Johor, Malaysia
| | - Zaidi Jafaar Mohd
- Department of Petroleum Engineering (FKT), Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, UTM JB, 81310, Skudai, Johor, Malaysia
| | - Bayero Salih Farah
- Office of the Director General Chief Executive, Nigerian Institute of Transport Technology, NITT, P. M. B. 1147, Kaduna State, Zaria, Nigeria
| |
Collapse
|
20
|
Ning W, Hu Y, Feng S, Cao M, Luo J. Ecological risk assessment and transmission of soil heavy metals in pastoral areas of the Tibetan plateau based on network environment analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167197. [PMID: 37741383 DOI: 10.1016/j.scitotenv.2023.167197] [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: 06/10/2023] [Revised: 09/16/2023] [Accepted: 09/16/2023] [Indexed: 09/25/2023]
Abstract
The Qinghai-Tibet Plateau is distinguished by its diverse ecosystems and biodiversity, which are highly dependent on their soil. In this study, a comprehensive analysis was conducted to assess the ecological risks in Maqin County, located on the Qinghai-Tibet Plateau, along with the local background values of soil elements, level of element enrichment, and source appointment of soil elements. The findings show that the background soil element levels in Maqin County were greater than the average soil content values in China. The soils in the study area exhibited pollution levels ranging from weak to moderate. The positive matrix factorization (PMF) model was employed to successfully categorized soil elements into four sources: F1 (natural sources), F2 (grazing sources), F3 (volcanic and rock fracture sources), and F4 (intrusive and deep rock source). Based on the characteristics of the ecological communities and the network environmental analysis model, ecological risks were directly introduced through vegetation and soil microorganisms, with subsequent transmission to other components of the ecosystem through the food chain. The integrated risks associated with vegetation, herbivores, soil microorganisms, and carnivores were 0.0106, 0.00193, 0.0282, and 0.00132, respectively. Notably, soil microorganisms were found to be the primary contributors to the total ecological risk in the study area. Furthermore, network environmental analysis and human health risk models revealed that F1, F2, F3, and F4 accounted for 16.85 %, 8.90 %, 21.76 %, and 52.49 % of the input risk of vegetation and soil microorganisms, respectively. Particularly, F4 emerged as the largest contributor to human health risks. This study provides valuable information for the preservation of the ecological environment in pastoral areas, contributing to the global promotion of sustainable ecological practices.
Collapse
Affiliation(s)
- Wenjing Ning
- School of Environment, Nanjing University, Nanjing, China.
| | - Yuwei Hu
- College of Resources and Environment, Yangtze University, Wuhan, China
| | - Siyao Feng
- College of Resources and Environment, Yangtze University, Wuhan, China
| | - Min Cao
- University of Leicester, University Road, Leicester LE1 7RH, United Kingdom
| | - Jie Luo
- College of Resources and Environment, Yangtze University, Wuhan, China.
| |
Collapse
|
21
|
Kumari H, Yadav S. A comparative study on metal pollution from surface dust of informal and formal e-waste recycling sectors in national capital region of New Delhi and associated risk assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166791. [PMID: 37678522 DOI: 10.1016/j.scitotenv.2023.166791] [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: 06/05/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/09/2023]
Abstract
Electrical and electronic waste (e-waste) is considered as resource and secondary source of metals, and is being recycled for recovery of precious and base metals. But the processes of recycling and the waste generated during e-waste recycling in informal and formal sectors contribute toxic metals in to the environment. This work aimed to compare the environmental and health impacts of informal and formal e-waste recycling facilities at New Delhi and Bhiwadi Industrial area in India, respectively. Here, concentrations of Ba, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, Sn, V, Zn, and Ag, and As in surface dust collected from informal and formal recycling sectors and their associated pollution, human health and ecological risk are presented. Metal concentrations were higher than the background levels in both sectors. Contamination factor (Cf), contamination degree (Cdeg), pollution load index (PLI), geo-accumulation index (Igeo) and enrichment factor (EnF) of metals indicated severe pollution levels in both sectors. However, contamination in informal sector was comparatively higher than the formal sector. Sampling sites in both sectors had very high ecological risk. Storage, dismantling/shredding and recycling techniques were contributors of metals in surface dust in formal sector whereas fumes deposition, re-suspension, and dried by-products during acid bath treatments were additional sources in informal sector. Metal pollution depends on metal(s), e-waste type(s) and recycling sector(s). Total non-carcinogenic health risk due to metals was 6.5E+00 and 6.0E+01 and 6.2E+00 and 5.5E+01 in adult and children in informal and formal sectors, respectively. Total carcinogenic risk was 3.3E-03 and 7.2E-03 in informal and formal sectors, respectively. Ingestion was major pathways of metals followed by dermal and inhalation and children were more prone to risk compared to adults. Formal sectors too cause metal pollution but to lesser degree compared to informal. More effective pollution control measures are required in formal sector to control environmental pollution.
Collapse
Affiliation(s)
- Hina Kumari
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India
| | - Sudesh Yadav
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India.
| |
Collapse
|
22
|
Wang J, Yuan J, Hou Q, Yang Z, You Y, Yu T, Ji J, Dou L, Ha X, Sheng W, Liu X. Distribution of potentially toxic elements in soils and sediments in Pearl River Delta, China: Natural versus anthropogenic source discrimination. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166573. [PMID: 37633402 DOI: 10.1016/j.scitotenv.2023.166573] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/08/2023] [Accepted: 08/23/2023] [Indexed: 08/28/2023]
Abstract
Although anthropogenic contamination has been regarded as the most important source of potentially toxic elements (PTEs) in soils of large river delta plains, the extent to which human activities affect PTEs in soils is worth exploring. This study used high density geochemical data to distinguish source patterns of PTEs in soils of the Pearl River Delta Economic Zone, a large industrialized and urbanized area in China. Enrichment factor, discriminant analysis, principal components analysis, cumulative distribution function, and positive matrix factorization were used to identify sources of PTEs in soils. The results indicated that parent material was the most significant factor affecting geochemical characteristics of PTEs in soils. Median concentrations of Cd, Cr, Cu, Hg, Pb, and Zn were 0.400, 88.5, 40.5, 0.143, 43.0, and 116.0 mg/kg for stream sediments, 0.333, 75.7, 39.0, 0.121, 42.6, and 98.5 mg/kg for deep soils, and 0.365, 74.0, 45.1, 0.143, 44.6, and 119.5 mg/kg for surface soils, respectively, all of which exceed relevant reference standards. Compared with stream sediments and deep soils, surface soils exhibit substantial concentrations of PTEs. Chemical weathering and erosion of parent materials distributed in the Pearl River Delta were the main sources of PTEs in soils. Diffuse contamination and many small local contamination sources distributed throughout the study area were the most significant anthropogenic sources of PTEs in surface soils. Intensive human activities failed to change the soil geochemical characteristics derived from the parent material at the regional scale. However, it could induce non-point source pollution and local severe PTEs pollution in surface soils.
Collapse
Affiliation(s)
- Jiaxin Wang
- School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
| | - Jiaxin Yuan
- Tianjin Research Institute for Water Transport Engineering, M.O.T, Tianjin, 300456, China
| | - Qingye Hou
- School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
| | - Zhongfang Yang
- School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
| | - Yuanhang You
- 3rd Geological Team, Guangdong Geological Bureau, Shaoguan 512030, China
| | - Tao Yu
- School of sciences, China University of Geosciences, Beijing 100083, China.
| | - Junfeng Ji
- School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093, China.
| | - Lei Dou
- Institute of Guangdong Geological Survey, Guangdong Geological Bureau, Guangzhou 510080, China
| | - Xianrui Ha
- School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
| | - Weikang Sheng
- School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
| | - Xu Liu
- School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
| |
Collapse
|
23
|
Lu X, Wang Z, Chen Y, Yang Y, Fan X, Wang L, Yu B, Lei K, Zuo L, Fan P, Liang T, Cho JW, Antoniadis V, Rinklebe J. Source-specific probabilistic risk evaluation of potentially toxic metal(loid)s in fine dust of college campuses based on positive matrix factorization and Monte Carlo simulation. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 347:119056. [PMID: 37757688 DOI: 10.1016/j.jenvman.2023.119056] [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: 01/18/2023] [Revised: 08/16/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023]
Abstract
Contamination, hazard level and source of 10 widely concerned potentially toxic metal(loid)s (PTMs) Co, As, Pb, Cr, Cu, Zn, Ni, Mn, Ba, and V in fine dust with particle size below 63 μm (FD63) were investigated to assess the environmental quality of college campuses and influencing factors. PTMs sources were qualitatively analyzed using statistical methods and quantitatively apportioned using positive matrix factorization. Probabilistic contamination degrees of PTMs were evaluated using enrichment factor and Nemerow integrated enrichment factor. Eco-health risk levels of content-oriented and source-oriented for PTMs were evaluated using Monte Carlo simulation. Mean levels of Zn (643.8 mg kg-1), Pb (146.0 mg kg-1), Cr (145.9 mg kg-1), Cu (95.5 mg kg-1), and Ba (804.2 mg kg-1) in FD63 were significantly larger than soil background values. The possible sources of the concerned PTMs in FD63 were traffic non-exhaust emissions, natural source, mixed source (auto repair waste, paints and pigments) and traffic exhaust emissions, which accounted for 45.7%, 25.4%, 14.5% and 14.4% of total PTMs contents, respectively. Comprehensive contamination levels of PTMs were very high, mainly caused by Zn pollution and non-exhaust emissions. Combined ecological risk levels of PTMs were low and moderate, chiefly caused by Pb and traffic exhaust emissions. The non-cancer risks of the PTMs in FD63 to college students fell within safety level, while the carcinogenic PTMs in FD63 had a certain cancer risks to college students. The results of source-specific health risk assessment indicated that Cr and As were the priority PTMs, and the mixed source was the priority pollution source of PTMs in FD63 from college campuses, which should be paid attention to by the local government.
Collapse
Affiliation(s)
- Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Zhenze Wang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Yurong Chen
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Xinyao Fan
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, 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.
| | - Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an, 710065, China
| | - Ling Zuo
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Peng Fan
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jin Woo Cho
- Department of Environment, Department of Environment and Energy, Sejong University, Seoul, 05006, Republic of Korea
| | - Vasileios Antoniadis
- Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Greece
| | - Jörg Rinklebe
- University of Wuppertal, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, Soil- and Groundwater-Management, Pauluskirchstraße 7, 42285, Wuppertal, Germany.
| |
Collapse
|
24
|
Wu H, Cheng N, Chen P, Zhou F, Fan Y, Qi M, Shi J, Zhang Z, Ren R, Wang C, Liang D. Integrative risk assessment method via combining geostatistical analysis, random forest, and receptor models for potentially toxic elements in selenium-rich soil. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 337:122555. [PMID: 37714402 DOI: 10.1016/j.envpol.2023.122555] [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: 07/20/2023] [Revised: 08/30/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
Revealing the spatial features and source of associated potentially toxic elements (PTEs) is crucial for the safe use of selenium (Se)-rich soils. An integrative risk assessment (GRRRA) approach based on geostatistical analysis (GA), random forest (RF), and receptor models (RMs) was first established to investigate the spatial distribution, sources, and potential ecological risks (PER) of PTEs in 982 soils from Ziyang City, a typical natural Se-rich area in China. RF combined with multiple RMs supported the source apportionment derived from the RMs and provided accurate results for source identification. Then, quantified source contributions were introduced into the risk assessment. Eighty-three percent of the samples contain Cd at a high PER level in local Se-rich soils. GA based on spatial interpolation and spatial autocorrelation showed that soil PTEs have distinct spatial characteristics, and high values are primarily distributed in this research areas. Absolute principal component score/multiple line regression (APCS/MLR) is more suitable than positive matrix factorization (PMF) for source apportionment in this study. RF combined with RMs more accurately and scientifically extracted four sources of soil PTEs: parent material (48.91%), mining (17.93%), agriculture (8.54%), and atmospheric deposition (24.63%). Monte Carlo simulation (MCS) demonstrates a 47.73% probability of a non-negligible risk (RI > 150) caused by parent material and 3.6% from industrial sources, respectively. Parent material (64.20%, RI = 229.56) and mining (16.49%, RI = 58.96) sources contribute to the highest PER of PTEs. In conclusion, the GRRRA method can comprehensively analyze the distribution and sources of soil PTEs and effectively quantify the source contribution to PER, thus providing the theoretical foundation for the secure utilization of Se-rich soils and environmental management and decision making.
Collapse
Affiliation(s)
- Hao Wu
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Nan Cheng
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Ping Chen
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Fei Zhou
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yao Fan
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Mingxing Qi
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Jingyi Shi
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Zhimin Zhang
- Shaanxi Hydrogeolog Engineering Geosciences and Environment Geosciences Investigation Institution, China
| | - Rui Ren
- Shaanxi Hydrogeolog Engineering Geosciences and Environment Geosciences Investigation Institution, China
| | - Cheng Wang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Dongli Liang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China; Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture, Yangling, Shaanxi, 712100, China.
| |
Collapse
|
25
|
Wei Y, Zhao Z, He J, Nie Y, Xu L, Xu A, Wu L. Connection between health risk and heavy metals in agricultural soils of China: a study based on current field investigations. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7775-7789. [PMID: 37432490 DOI: 10.1007/s10653-023-01680-y] [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: 03/31/2023] [Accepted: 06/26/2023] [Indexed: 07/12/2023]
Abstract
Heavy metal pollution in agricultural soil is a threat to people's health and sustainable development. However, there is currently no nationwide health risk assessment in China. In this study, we performed a preliminary assessment of heavy metals in agricultural soils of the Chinese mainland, and found obvious carcinogenic risks (total lifetime carcinogenic risk (TLCR) > 1 × 10-5). A similar spatial distribution pattern was found in soil heavy metal and the mortality of esophagus and stomach cancers. Combining the potential carcinogenic risk assessed by LCR for individual heavy metal with Pearson correlation, Geographical Detector (q statistic > 0.75 for TLCR, p < 0.05), and redundancy analysis (RDA), it was found that long-term exposure and intake route of heavy metals exceeding the maximum safety threshold (Health Canada standard) may induce digestive system (esophagus, stomach, liver, and colorectum) cancers in rural populations. Through Partial Least Squares Path Model (PLS-PM), it was also revealed that the LCR of heavy metals was closely related to the soil environmental background (path coefficients = 0.82), which in turn was affected by factors such as economic development and pollution discharge. The current research results highlight the potential carcinogenic risk to the digestive system associated with low-dose and long-term exposure to heavy metals in agricultural soils, and policymakers should propose countermeasures and solutions according to the local conditions.
Collapse
Affiliation(s)
- Yutong Wei
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
| | - Zihui Zhao
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
| | - Jianuo He
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
| | - Yaguang Nie
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China.
| | - Liqiang Xu
- School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, 230009, China
| | - An Xu
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
| | - Lijun Wu
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China
| |
Collapse
|
26
|
Liu X, Chi H, Tan Z, Yang X, Sun Y, Li Z, Hu K, Hao F, Liu Y, Yang S, Deng Q, Wen X. Heavy metals distribution characteristics, source analysis, and risk evaluation of soils around mines, quarries, and other special areas in a region of northwestern Yunnan, China. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:132050. [PMID: 37459760 DOI: 10.1016/j.jhazmat.2023.132050] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 06/09/2023] [Accepted: 07/10/2023] [Indexed: 07/26/2023]
Abstract
In this study, based on the assessment of soil heavy metals (HMs) pollution using relevant indices, a comprehensive approach combined network environ analysis (NEA), human health risk assessment (HHRA) method and positive definite matrix factor (PMF) model to quantify the risks among ecological communities in a special environment around mining area in northwest Yunnan, calculated the risk to human health caused by HMs in soil, and analyzed the pollution sources of HMs. The integrated risks for soil microorganisms, vegetations, herbivores, and carnivores were 2.336, 0.876, 0.114, and 0.082, respectively, indicating that soil microorganisms were the largest risk receptors. The total hazard indexes (HIT) for males, females, and children were 0.542, 0.591, and 1.970, respectively, revealing a relatively high and non-negligible non-carcinogenic risks (NCR) for children. The total cancer risks (TCR) for both females and children exceeded 1.00E-04, indicating that soil HMs posed carcinogenic risks (CR) to them. Comparatively, Pb was the high-risk metal, accounting for 53.76%, 57.90%, and 68.09% of HIT in males, females, and children, respectively. PMF analysis yielded five sources of pollution, F1 (industry), F2 (agriculture), F3 (domesticity), F4 (nature), and F5 (traffic).
Collapse
Affiliation(s)
- Xin Liu
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Huajian Chi
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Zhiqiang Tan
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Xiaofang Yang
- College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, China
| | - Yiping Sun
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Zongtao Li
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Kan Hu
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Fangfang Hao
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Yong Liu
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Shengchun Yang
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China
| | - Qingwen Deng
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China.
| | - Xiaodong Wen
- College of Pharmacy, Dali University, Dali, Yunnan 671000, China.
| |
Collapse
|
27
|
Wang Z, Lu X, Yu B, Yang Y, Wang L, Lei K. Ascertaining priority control pollution sources and target pollutants in toxic metal risk management of a medium-sized industrial city. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 887:164022. [PMID: 37172841 DOI: 10.1016/j.scitotenv.2023.164022] [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: 01/30/2023] [Revised: 04/18/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023]
Abstract
Re-suspended surface dust (RSD) often poses higher environmental risks due to its specific physical characteristics. To ascertain the priority pollution sources and pollutants for the risk control of toxic metals (TMs) in RSD of medium-sized industrial cities, this study took Baotou City, a representative medium-sized industrial city in North China, as an example to systematically study TMs pollution in RSD. The levels of Cr (242.6 mg kg-1), Pb (65.7 mg kg-1), Co (54.0 mg kg-1), Ba (1032.4 mg kg-1), Cu (31.8 mg kg-1), Zn (81.7 mg kg-1), and Mn (593.8 mg kg-1) in Baotou RSD exceeded their soil background values. Co and Cr exhibited significant enrichment in 94.0 % and 49.4 % of samples, respectively. The comprehensive pollution of TMs in Baotou RSD was very high, mainly caused by Co and Cr. The main sources of TMs in the study area were industrial emissions, construction, and traffic activities, accounting for 32.5, 25.9, and 41.6 % of the total TMs respectively. The overall ecological risk in the study area was low, but 21.5 % of samples exhibited moderate or higher risk. The carcinogenic risks of TMs in the RSD to local residents and their non-carcinogenic risks to children cannot be ignored. Industrial and construction sources were priority pollution sources for eco-health risks, with Cr and Co being the target TMs. The south, north and west of the study area were the priority control areas for TMs pollution. The probabilistic risk assessment method combining of Monte Carlo simulation and source analysis can effectively identify the priority pollution sources and pollutants. These findings provide scientific basis for TMs pollution control in Baotou and constitute a reference for environmental management and protection of residents' health in other similar medium-sized industrial cities.
Collapse
Affiliation(s)
- Zhenze Wang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
| | - Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, 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.
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an 710065, China
| |
Collapse
|
28
|
Huang CC, Cai LM, Xu YH, Jie L, Hu GC, Chen LG, Wang HZ, Xu XB, Mei JX. A comprehensive approach to quantify the source identification and human health risk assessment of toxic elements in park dust. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:5813-5827. [PMID: 37148428 DOI: 10.1007/s10653-023-01588-7] [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: 10/28/2022] [Accepted: 04/21/2023] [Indexed: 05/08/2023]
Abstract
In this research, enrichment factor (EF) and pollution load index were utilized to explore the contamination characteristics of toxic elements (TEs) in park dust. The results exhibited that park dust in the study area was mainly moderately polluted, and the EF values of dust Cd, Zn, Pb, Cu and Sb were all > 1. The concentrations of Cr, Cu, Zn and Pb increased with the decrease of dust particle size. The investigation results of chemical speciation and bioavailability of TEs showed that Zn had the highest bioavailability. Three sources of TEs were determined by positive matrix factorization model, Pearson correlation analysis and geostatistical analysis, comprising factor 1 mixed sources of industrial and transportation activities (46.62%), factor 2 natural source (25.56%) and factor 3 mixed source of agricultural activities and the aging of park infrastructures (27.82%). Potential ecological risk (PER) and human health risk (HHR) models based on source apportionment were exploited to estimate PER and HHR of TEs from different sources. The mean PER value of TEs in the park dust was 114, indicating that ecological risk in the study area was relatively high. Factor 1 contributed the most to PER, and the pollution of Cd was the most serious. There were no significant carcinogenic and non-carcinogenic risks for children and adults in the study area. And factor 3 was the biggest source of non-carcinogenic risk, and As, Cr and Pb were the chief contributor to non-carcinogenic risk. The primary source of carcinogenic risk was factor 2, and Cr was the cardinal cancer risk element.
Collapse
Affiliation(s)
- Chang-Chen Huang
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Li-Mei Cai
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan, 430100, China.
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China.
- Key Laboratory of Mineralogy and Metallogeny, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.
| | - Yao-Hui Xu
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Luo Jie
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Guo-Cheng Hu
- Ministry of Ecology and Environment, South China Institute of Environmental Sciences, Guangzhou, 510535, China
| | - Lai-Guo Chen
- Ministry of Ecology and Environment, South China Institute of Environmental Sciences, Guangzhou, 510535, China.
| | - Han-Zhi Wang
- Key Laboratory of Mineralogy and Metallogeny, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Xu-Bang Xu
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Jing-Xian Mei
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China
| |
Collapse
|
29
|
Wang L, Mao X, Song X, Wei X, Yu H, Xie S, Zhang L, Tang W. Non-Negligible Ecological Risks of Urban Wetlands Caused by Cd and Hg on the Qinghai-Tibet Plateau, China. TOXICS 2023; 11:654. [PMID: 37624160 PMCID: PMC10458823 DOI: 10.3390/toxics11080654] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/23/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023]
Abstract
The Huangshui National Wetland Park (HNWP) is a unique national wetland park in a city on the Qinghai-Tibetan Plateau, containing three zones: Haihu, Beichuan, and Ninghu. In this study, a total of 54 soil samples (18 sampling points with depths of 0-10 cm, 10-20 cm, and 20-30 cm) were collected in these three zones, and the contents of heavy metals (Cr, Cd, Cu, Hg, Ni, Pb, Zn, and As) of each sample were determined. The ecological risk of eight kinds of heavy metals was evaluated by using the geo-accumulation index (Igeo), and the ecological risk-controlling effect of the Xining urban wetlands on heavy metals was explored by comparative analysis, and the possible sources of heavy metals in the soil were analyzed via correlation analysis and principal component analysis (PCA). The results revealed that the total heavy metal concentration order was Haihu > Beichuan > Ninghu zone. As and Cu presented vertical accumulation characteristics in the surface and lower horizon, respectively. Cr, Cd, Hg, Ni, Pb, and Zn accumulated downwards along the depth. On the spatial scale, the enrichments of Cd and Hg brought non-negligible ecological risks in plateau urban wetlands. The results of PCA indicated that soil heavy metals mainly came from compound sources of domestic and atmospheric influences, traffic pollution sources, and industrial pollution sources. The study has revealed that human activities have inevitable negative impacts on wetland ecosystems, while the HNWP provides a significant weakening effect on heavy metal pollution.
Collapse
Affiliation(s)
- Lei Wang
- Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining 810008, China; (L.W.); (L.Z.)
- Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China
| | - Xufeng Mao
- Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining 810008, China; (L.W.); (L.Z.)
- Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China
- Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province and Beijing Normal University, Xining 810016, China
| | - Xiuhua Song
- Management and Service Center for Huangshui National Wetland Park, Xining 810016, China; (X.S.); (S.X.)
| | - Xiaoyan Wei
- School of Economics and Management, Qinghai Normal University, Xining 810008, China;
| | - Hongyan Yu
- Management and Service Center of Qilian Mountain National Park, Xining 810008, China;
| | - Shunbang Xie
- Management and Service Center for Huangshui National Wetland Park, Xining 810016, China; (X.S.); (S.X.)
| | - Lele Zhang
- Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining 810008, China; (L.W.); (L.Z.)
- Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China
| | - Wenjia Tang
- State Key Laboratory for Environmental Protection Monitoring and Assessment of the Qinghai–Xining Plateau, Xining 810007, China;
| |
Collapse
|
30
|
Durdu B, Gurbuz F, Koçyiğit H, Gurbuz M. Urbanization-driven soil degradation; ecological risks and human health implications. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:1002. [PMID: 37498413 DOI: 10.1007/s10661-023-11595-x] [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: 05/28/2023] [Accepted: 07/10/2023] [Indexed: 07/28/2023]
Abstract
Urban soils contaminated with heavy metals and pesticide residues are of great concern because of their adverse impact on human health. A total of 66 agricultural topsoil samples (15 cm) were collected to represent the study area and determine how anthropogenic activities adversely affect soil quality and human health. Sampling was conducted in the summer, when it was dry and hot, and in the winter, after atmospheric deposition. Seventeen potentially hazardous metals/metalloids (Ag, As, Al, B, Ba, Cd, Cr, Cu, Fe, Hg, Mn, Ni, Mo, Pb, Se, Zn, and V) were measured in the soils. The mean concentrations of metals ranged between 0.05 and 8080 mg/kg, and their distribution was site-specific, with high pollution at the sampling sites owing to proximity to human activities. In agricultural areas, the greatest arsenic concentration was recorded at 48 mg/kg. The potential ecological risk index (PERI) and health hazard index (HI) were calculated, as well as metal contamination indices including contamination factor (Cf), geo-accumulation index (Igeo), and pollution load index (PLI). The mean PLI was calculated to be 4.89, indicating that the area is highly polluted. The potential ecological risk index showed remarkably high risks for As, Cd, and Hg, and moderate risks for Ni and Pb. The arsenic hazard index (HI) was greater than one (2.41) in children, indicating a risk of exposure through ingestion. Pesticide residue analyses were performed in areas where the metal intensity was high. Banned or restricted organochlorine pesticide (OCPs) residues, including, dieldrin, endrin ketone, endosulfan I, II, heptachlor, heptachlor epoxide, lindane (γ-HCH), PP-DDD, and methoxychlor, were detected between 0.002 and 1.45 mg/kg in the soil samples.
Collapse
Affiliation(s)
- Behiye Durdu
- Department of Environmental Engineering, Faculty of Engineering, University of Aksaray, Aksaray, Turkey
| | - Fatma Gurbuz
- Department of Environmental Engineering, Faculty of Engineering, University of Aksaray, Aksaray, Turkey.
| | - Hasan Koçyiğit
- Department of Environmental Engineering, Faculty of Engineering, University of Aksaray, Aksaray, Turkey
| | - Mustafa Gurbuz
- General Directorate for State Hydraulic Works, Isparta, Turkey
| |
Collapse
|
31
|
Ahmad W, Zubair M, Ahmed M, Ahmad M, Latif S, Hameed A, Kanwal Q, Iqbal DN. Assessment of potentially toxic metal(loid)s contamination in soil near the industrial landfill and impact on human health: an evaluation of risk. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:4353-4369. [PMID: 36790726 DOI: 10.1007/s10653-023-01499-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/30/2023] [Indexed: 05/15/2023]
Abstract
The generation of solid waste is increasing with each passing day due to rapid urbanization and industrialization and has become a matter of concern for the international community. Leachate leakages from landfills pollute the soil and can potentially harm the human health. In this paper, inductively coupled plasma-optical emission spectrometric studies were employed to assess and analyze the composition of metals (Ba, Cd, Pb, Hg, Cu, Cr and Mn) and metalloid (As) in soil samples. Results of Cr, Mn, Cu, As, Ba, Cd, Pb and Hg from CRM (certified reference material, SRM 2709a) of San Joaquin soil were evaluated and reported in terms of percent recoveries which were in the range of 97.6-102.9% and show outstanding extraction efficiency. Other than copper, where the permitted limit set by the EU is specified as 50-140 mg/kg in soil, the average amount of all the metals in soil was found within the permissible limits provided by WHO, the European Community (EU) and US EPA. Soil contaminated with Hg (PERI = 100) and Cd (PERI = 145.50) posed an ecological risk significantly. Pollution load index (PLI) value is greater than 1, while degree of contamination (Cdeg) value is less than 32 which indicated that the soil is polluted and considerably contaminated with metals and metalloid, respectively. In terms of the average daily dosage (ADD) of soil, children received the highest doses of all metals (ADDing = 1.315 × 10-7 - 2.470 × 10-3 and ADDderm = 9.939 × 10-7 - 5.292 × 10-11), whereas ADDing (1.409 × 10-8 - 2.646 × 10-4) was found greater in adults. For all metals except for Ba, the hazard quotient (HQ) trend in both children and adults was observed to be HQing > HQderm > HQinh of soil. Children who are at the lower edge of cancer risk had a lifetime cancer risk (LCR) of 2.039 × 10-4 for Cr from various paths of soil exposure.
Collapse
Affiliation(s)
- Waqar Ahmad
- Department of Chemistry, University of Gujrat, Gujrat, Pakistan
| | - Muhammad Zubair
- Department of Chemistry, University of Gujrat, Gujrat, Pakistan.
| | - Mahmood Ahmed
- Department of Chemistry, Division of Science and Technology, University of Education, College Road, Lahore, Pakistan.
| | - Muhammad Ahmad
- Department of Chemistry, Division of Science and Technology, University of Education, College Road, Lahore, Pakistan
| | - Shoomaila Latif
- School of Physical Sciences, University of the Punjab, Lahore, 54590, Pakistan
| | - Abdul Hameed
- Department of Chemistry, University of Sahiwal, Sahiwal, Pakistan
| | - Qudsia Kanwal
- Department of Chemistry, The University of Lahore, Lahore, Pakistan
| | - Dure Najaf Iqbal
- Department of Chemistry, The University of Lahore, Lahore, Pakistan
| |
Collapse
|
32
|
Banerjee S, Ghosh S, Jha S, Kumar S, Mondal G, Sarkar D, Datta R, Mukherjee A, Bhattacharyya P. Assessing pollution and health risks from chromite mine tailings contaminated soils in India by employing synergistic statistical approaches. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163228. [PMID: 37019224 DOI: 10.1016/j.scitotenv.2023.163228] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/29/2023] [Accepted: 03/29/2023] [Indexed: 05/27/2023]
Abstract
Potentially toxic elements (PTEs) contamination in the agricultural soil can generate a detrimental effect on the ecosystem and poses a threat to human health. The present work evaluates the PTEs concentration, source identification, probabilistic assessment of health hazards, and dietary risk analysis due to PTEs pollution in the region of the chromite-asbestos mine, India. To evaluate the health risks associated with PTEs in soil, soil tailings and rice grains were collected and studied. The results revealed that the PTEs concentration (mainly Cr and Ni) of total, DTPA-bioavailable, and rice grain was significantly above the permissible limit in site 1 (tailings) and site 2 (contaminated) as compared with site 3 (uncontaminated). The Free ion activity model (FIAM) was applied to detect the solubility of PTEs in polluted soil and their probable transfer from soil to rice grain. The hazard quotient values were significantly higher than the safe (FIAM-HQ < 0.5) for Cr (1.50E+00), Ni (1.32E+00), and, Pb (5.55E+00) except for Cd (1.43E-03), Cu (5.82E-02). Severity adjustment margin of exposure (SAMOE) results denote that the PTEs contaminated raw rice grain has high health risk [CrSAMOE: 0.001; NiSAMOE: 0.002; CdSAMOE: 0.007; PbSAMOE: 0.008] for humans except for Cu. The Positive matrix factorization (PMF) along with correlation used to apportion the source. Self-organizing map (SOM) and PMF analysis identified the source of pollution mainly from mines in this region. Monte Carlo simulation (MCS) revealed that TCR (total carcinogenic risk) cannot be insignificant and children were the maximum sufferers relative to adults via ingestion-pathway. In the spatial distribution map, the region nearer to mine is highly prone to ecological risk with respect to PTEs pollution. Based on appropriate and reasonable evaluation methods, this work will help environmental scientists and policymakers' control PTEs pollution in agricultural soils near the vicinity of mines.
Collapse
Affiliation(s)
- Sonali Banerjee
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand 815301, India
| | - Saibal Ghosh
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand 815301, India
| | - Sonam Jha
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand 815301, India
| | - Sumit Kumar
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand 815301, India
| | - Gourav Mondal
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand 815301, India
| | - Dibyendu Sarkar
- Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering, Hoboken, NJ 07030, USA
| | - Rupali Datta
- Department of Biological Science, Michigan Technological University, MI, USA
| | - Abhishek Mukherjee
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand 815301, India
| | - Pradip Bhattacharyya
- Agricultural and Ecological Research Unit, Indian Statistical Institute, Giridih, Jharkhand 815301, India.
| |
Collapse
|
33
|
Yang Z, Li C, Chen H, Shan X, Chen J, Zhang J, Liu S, Liu Q, Wang X. Source-oriented ecological and resistome risks associated with geochemical enrichment of heavy metals in river sediments. CHEMOSPHERE 2023:139119. [PMID: 37302501 DOI: 10.1016/j.chemosphere.2023.139119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/27/2023] [Accepted: 06/01/2023] [Indexed: 06/13/2023]
Abstract
Heavy metals (HMs) pose ecological and resistome risks to aquatic systems. To efficiently develop targeted risk mitigation strategies, apportioning HM sources and assessing their source-oriented risks are essential. Although many studies have reported risk assessment and source apportionment of HMs, yet few have explored source-specific ecological and resistome risks associated with geochemical enrichment of HMs in aquatic environments. Therefore, this study proposes an integrated technological framework to characterize source-oriented ecological and resistome risks in the sediments of a plain river in China. Several geochemical tools quantitatively showed Cd and Hg had the highest pollution levels in the environment, with 19.7 and 7.5 times higher than their background values, respectively. Positive matrix factorization (PMF) and Unmix were comparatively used to apportion sources of HMs. Essentially, the two models were complementary and identified similar sources including industrial discharges, agricultural activities, atmospheric deposition and natural background, with contributions of 32.3-37.0%, 8.0-9.0%, 12.1-15.9% and 42.8-43.0%, respectively. To analyze source-specific ecological risks, the apportionment results were integratively incorporated into a modified ecological risk index. The results showed anthropogenic sources were the most significant contributors to the ecological risks. Particularly, industrial discharges majorly contributed high- (44%) and extremely high (52%) ecological risk for Cd, while agricultural activities posed a greater percentage of considerable-(36%) and high- (46%) ecological risk for Hg. Furthermore, the high-throughput sequencing metagenomic analysis identified abundant and diverse antibiotic resistance genes (ARGs), including some carbapenem-resistance genes and emerging genes such as mcr-type in the river sediments. Network and statistical analyses displayed significant correlations between ARGs and geochemical enrichment of HMs (ρ > 0.8; P-value <0.01), indicating their important impacts on resistome risks in the environment. This study provides useful insights into risk prevention and pollution control of HMs, and the framework can be made applicable to other rivers facing environmental challenges worldwide.
Collapse
Affiliation(s)
- Zhimin Yang
- Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Chunhui Li
- Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Haiyang Chen
- Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
| | - Xin Shan
- Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Jinping Chen
- Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Jianhang Zhang
- Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
| | - Shaoda Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
| | - Qiang Liu
- Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Xuan Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| |
Collapse
|
34
|
Wang Y, Cheng H. Soil heavy metal(loid) pollution and health risk assessment of farmlands developed on two different terrains on the Tibetan Plateau, China. CHEMOSPHERE 2023:139148. [PMID: 37290519 DOI: 10.1016/j.chemosphere.2023.139148] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 06/10/2023]
Abstract
The quality of farmland soils on the Tibetan Plateau is important because of the region's ecological vulnerability and their close link with local food security. Investigation on the pollution status of heavy metal (loid)s (HMs) in the farmlands of Lhasa and Nyingchi on the Tibetan Plateau, China revealed that Cu, As, Cd, Tl, and Pb were apparently enriched, with the soil parent materials being the primary sources of the soil HMs. Overall, the farmlands in Lhasa had higher contents of HMs compared to those in the farmlands of Nyingchi, which could be attributed to the fact that the former were mainly developed on river terraces while the latter were mainly developed on the alluvial fans in mountainous areas. As displayed the most apparent enrichment, with the average concentrations in the vegetable field soils and grain field soils of Lhasa being 2.5 and 2.2 times higher compared to those of Nyingchi. The soils of vegetable fields were more heavily polluted than those of grain fields, probably due to the more intensive input of agrochemicals, particularly the use of commercial organic fertilizers. The overall ecological risk of the HMs in the Tibetan farmlands was low, while Cd posed medium ecological risk. Results of health risk assessment show that ingestion of the vegetable field soils could pose elevated health risk, with children facing greater risk than adults. Among all the HMs targeted, Cd had relatively high bioavailability of up to 36.2% and 24.9% in the vegetable field soils of Lhasa and Nyingchi, respectively. Cd also showed the most significant ecological and human health risk. Thus, attention should be paid to minimize further anthropogenic input of Cd to the farmland soils on the Tibetan Plateau.
Collapse
Affiliation(s)
- Yafeng Wang
- MOE Key Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Hefa Cheng
- MOE Key Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
| |
Collapse
|
35
|
Feng Z, Deng L, Guo Y, Guo G, Wang L, Zhou G, Huan Y, Liang T. The spatial analysis, risk assessment and source identification for mercury in a typical area with multiple pollution sources in southern China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:4057-4069. [PMID: 36478236 DOI: 10.1007/s10653-022-01436-0] [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: 10/08/2022] [Accepted: 11/11/2022] [Indexed: 06/01/2023]
Abstract
Mercury (Hg) has always been a research hot spot because of its high toxicity. This study conducted in farmland near rare earth mining area and traffic facilities, which considered multiple pollution sources innovatively. It not only analyzed Hg spatial characteristics using inverse distance weighting and self-organizing map (SOM), but also assessed its pollution risk by potential ecological risk index (Er) as well as geoaccumulation index (Igeo), and identified the pollution sources with positive matrix factorization. The results showed that there was no heavy Hg pollution in most farmland, while a few sampling sites with Hg pollution were close to highway, railway station and petrol station in Xinfeng or in the farmland of Anyuan, which were divided into the cluster with highest Hg concentration in SOM. The vehicle exhaust emission and pesticide as well as fertilizer additions significantly contributed to the local Hg pollution. Besides, there was moderate pollution and high ecological risk in Anyuan assessed by Igeo and Er, respectively. In contrast, Xinfeng had the moderate and considerable ecological risks in a larger scale. The enriched Hg might harmed not only the nearby ecological environment, but also the human health when it entered human body through food chain. The three factors that contributed to mercury concentration in this area according to positive matrix factorization were natural source, traffic source and agricultural source, respectively. This study about Hg pollution in the typical area would provide scientific evidence for the particular treatment of Hg pollution from various pollution sources like traffic source, agricultural source, etc.
Collapse
Affiliation(s)
- Zhaohui Feng
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Li Deng
- Ecological Environment Planning and Environmental Protection Technology Center of Qinghai Province, Xining, 810007, China
| | - Yikai Guo
- Ecological Environment Planning and Environmental Protection Technology Center of Qinghai Province, Xining, 810007, China
| | - Guanghui Guo
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guangjin Zhou
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yizhong Huan
- School of Public Policy and Management, Tsinghua University, Beijing, 100084, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| |
Collapse
|
36
|
Li H, Yao J, Sunahara G, Min N, Li C, Duran R. Quantifying ecological and human health risks of metal(loid)s pollution from non-ferrous metal mining and smelting activities in Southwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 873:162364. [PMID: 36828070 DOI: 10.1016/j.scitotenv.2023.162364] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
The environmental release and transfer of heavy metal(loids) from natural and anthropogenic sources to neighboring habitats can pose an ecological threat to the exposed biota and habitat, as well as a human health risk to the residents. However, analytical tools to identify the potential contamination source(s) and assess the impact of this transfer have not been well described. Soil samples were collected from affected areas proximal to non-ferrous metal(loid)s mining and smelting facilities. Two integrated assessment methods, based on soil total metal(loid) content, included: (1) the potential ecological risk index combined with positive matrix factorization (PMF) and (2) human health risk assessment combined with PMF. Results indicated that there were four generic sources of pollution (based on PMF analyses of 115 replicated samples collected from four study areas): agricultural and industrial activities, traffic emissions, and natural sources. For ecological risk, the contribution of these metal(loid)s pollution sources were industrial activities (20.34-70.76 %), traffic emissions (18.73-56.93 %), natural sources (3.69-27.02 %), and agricultural activities (3.79-21.43 %). Health risks were higher for children than for adults. Industrial activity was a major source of non-carcinogenic risk to children (32.10-74.62 %) and adults (31.33-73.78 %), and carcinogenic risk to children (22.53-67.27 %) and adults (20.69-64.76 %). Total metal analysis indicated that As and Cd were highly enriched in the soil, but chemical fractionation revealed low As mobility. Total Cd and possibly As were the main pollutants causing the ecological risks at these contaminated sites. This study demonstrates that ecological and human health risks could be quantified to prioritize the pollution sources for reasonable contaminated site risk management.
Collapse
Affiliation(s)
- Hao Li
- School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083 Beijing, China
| | - Jun Yao
- School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083 Beijing, China.
| | - Geoffrey Sunahara
- School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083 Beijing, China; Department of Natural Resource Sciences, McGill University, 21111, Lakeshore Drive, Ste-Anne-de-Bellevue, Quebec H9X 3V9, Canada
| | - Ning Min
- School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083 Beijing, China
| | - Chenchen Li
- Faculty of Metallurgy and Energy Engineering, National and Local Joint Engineering Laboratory for Lithium-ion Batteries and Materials Preparation Technology, Key Laboratory of Advanced Battery Materials or Yunnan Province, Kunming University of Science and Technology, Kunming 650093, China
| | - Robert Duran
- School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083 Beijing, China; Equipe Environnement et Microbiologie, MELODY group, Université de Pau et des Pays de l'Adour, E2S-UPPA, IPREM UMR CNRS 5254, BP 1155, 64013 Pau Cedex, France
| |
Collapse
|
37
|
Wang L, Liu R, Liu J, Qi Y, Zeng W, Cui B. A novel regional-scale human health risk assessment model for soil heavy metal(loid) pollution based on empirical Bayesian kriging. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 258:114953. [PMID: 37146388 DOI: 10.1016/j.ecoenv.2023.114953] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/30/2023] [Accepted: 04/22/2023] [Indexed: 05/07/2023]
Abstract
Soil heavy metal(loid)s contamination caused by rapid urbanization and industrialization seriously affects human health and hinders the global sustainable development goals (SDGs). Currently, there is a lack of comprehensive human health risk assessment (HHRA) studies for multiple land use types at the regional scale. We propose a practical risk assessment framework that integrates empirical Bayesian kriging (EBK), pollution level analyses, and modified HHRA modeling. The concentrations of copper industry-related metals (Cu, Ni, Cd, As, and Hg) in 332 topsoil samples from the south bank of the Yangtze River in Tongling were investigated. Obvious enrichment of Cu, Cd, As, and Hg was detected, and the average concentration of Cu was 5.24 times higher than the background values. The distribution of heavy metal(loid) pollution was typically high in the south and east, and low in the north and west. The mean errors of interpolation for Cu, Ni, and Hg were 0.84, 1.29, and 0, respectively, and the root mean square errors of interpolation for Cd and As were 1.29 and 0.86, respectively. Non-carcinogenic risks of soil heavy metal(loid)s were assessed as acceptable throughout the studied area. The hazard index decreased in the order As (0.448) > Ni (0.0729) > Cd (0.0136) > Hg (9.04 ×10-4) > Cu (6.41 ×10-4). Nevertheless, the carcinogenic risks of Ni, Cd, and As in 70-80% of the administrative units (AUs) were between 10-6 to 10-4, considered an unacceptable level. Exposure through the oral ingestion route accounted for 88.0-99.2% of the total three exposure routes. It is worth noting that four AUs were considered to be the priority control units, and Ni and As were identified as the priority control soil heavy metal(loid)s. This case demonstrates the feasibility and scientific validity of the new EBK-HHRA framework, which confirms that EBK can effectively predict the spatial distribution patterns of soil heavy metal(loid)s and that modified HHRA models are conducive to risk integration at the regional scale. The EBK-HHRA approach is generic and provides substantial support for risk source identification and risk management of soil heavy metal(loid)s contamination at the regional scale.
Collapse
Affiliation(s)
- Liting Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Renzhi Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Jing Liu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, 210019 Nanjing, China
| | - Yushun Qi
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Weihua Zeng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001 Qinghai, China
| | - Baoshan Cui
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
38
|
Luo Y, Wang Z, Zhang ZL, Zhang JQ, Zeng QP, Tian D, Li C, Huang FY, Chen S, Chen L. Contamination characteristics and source analysis of potentially toxic elements in dustfall-soil-crop systems near non-ferrous mining areas of Yunnan, southwestern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 882:163575. [PMID: 37075998 DOI: 10.1016/j.scitotenv.2023.163575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 04/14/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023]
Abstract
Potentially toxic elements (PTEs) in the dustfall-soil-crop system pose a serious threat to the ecological environment and agricultural production. However, there is still a knowledge gap in terms of better understanding the distinctive sources of PTEs by integrating various models and technologies. In this study, we comprehensively investigated the concentrations, distribution, and sources of seven PTEs in a dustfall-soil-crop system (424 samples in total) near a typical non-ferrous mining area, using absolute principal component score/multiple linear regression (APCS/MLR) combined with X-ray diffraction (XRD) and microscopy techniques. Our results showed that the mean values of As, Cd, Cr, Cu, Ni, Pb, and Zn in the soils were 211, 14, 105, 91, 65, 232, and 325 mg/kg, respectively. These values were significantly higher than the background soil values in Yunnan. Except for Ni and Cr, all elements in the soil were significantly higher than the screening values of agricultural lands in China. The spatial distribution of PTE concentrations was similar among the three media. The ACPS/MLR, XRD, and microscopy analyses further indicated that soil PTEs mainly originated from industrial activities (37 %), vehicle emissions and agricultural activities (29 %), respectively. Dustfall PTEs mainly originated from vehicle emissions and industrial activities, accounting for 40 % and 37 %, respectively. Crop PTEs mainly originated from vehicle emissions and soil (57 %), and agricultural activities (11 %), respectively. PTEs seriously threaten the safety of agricultural products and the ecological environment once they settle from the atmosphere to soil and crop leaves, further accumulate in crops, and spread through the food chain. Therefore, our study provides scientific evidence for government regulators to control PTE pollution and reduce their environmental risks in dustfall-soil-crop systems.
Collapse
Affiliation(s)
- Ying Luo
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Zhe Wang
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China.
| | - Zhen-Long Zhang
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Jia-Qian Zhang
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Qiu-Ping Zeng
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Duan Tian
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Chao Li
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Feng-Yu Huang
- School of Environment and Resources, Xichang University, Xichang, Sichuan 615000, China
| | - Shu Chen
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Li Chen
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China; College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
| |
Collapse
|
39
|
Zhang X, Tian K, Wang Y, Hu W, Liu B, Yuan X, Huang B, Wu L. Identification of sources and their potential health risk of potential toxic elements in soils from a mercury‑thallium polymetallic mining area in Southwest China: Insight from mercury isotopes and PMF model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161774. [PMID: 36708830 DOI: 10.1016/j.scitotenv.2023.161774] [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: 10/01/2022] [Revised: 01/05/2023] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
Identification of potential toxic element (PTE) sources and their specific human health risk is critical to the management of PTEs in soils. In this study, multi-medium were collected from a mercury‑thallium polymetallic mining area in Southwestern China. Hg isotope technique together with positive matrix factorization (PMF) model was used to identify PTE sources and assess their source-oriented health risk. Results showed that among the studied PTEs, this study area presented high pollution of Hg, Tl and As, with higher concentrations than their corresponding background values of Guizhou province, yet their average concentrations in covering soils were significantly lower than those in the natural soils. The Tl in coix grains should also be paid more attention due to its high concentration. Both natural and covering soils had different Hg isotope composition with tailings, while sediments have similar Hg isotope fractionation with covering soils. According to the PMF model, three sources in both natural and covering soils were apportioned and Hg, Tl and As were mainly influenced by the historical mining activities, which also confirmed by their Hg isotope signatures. The contributions of historical mining activities accounted for 40 % and 20 % of the PTEs in natural and covering soils, respectively. The assessment of source-specific health risks suggested that the non-carcinogenic risk of Hg, Tl and As was much higher than other elements. Historical mining activities were regarded as the major contributor to health risks (79 % and 76 % for natural soils and 50 % and 59 % for covering soils, respectively). This indicated that the restoration of coveing soils indeed decreased the health risk in this study area. These findings thus highlight the importance of ongoing monitoring of covering soils in the polymetallic mining area, which is imperative for preferably assessing the health risk of PTEs in similar mining area worldwide.
Collapse
Affiliation(s)
- Xiaohui Zhang
- Key Laboratory of Integrated Regulation and Resources Development of Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Kang Tian
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yimin Wang
- Key Laboratory of Integrated Regulation and Resources Development of Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China
| | - Wenyou Hu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Benle Liu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Xuyin Yuan
- Key Laboratory of Integrated Regulation and Resources Development of Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China
| | - Biao Huang
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Longhua Wu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| |
Collapse
|
40
|
Yang X, Yang Y. Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2023; 25:554-565. [PMID: 36723365 DOI: 10.1039/d2em00487a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Excessive enrichment of soil heavy metals seriously damages human health and soil environment. Exploring the spatiotemporal patterns and detecting the influencing factors are conducive to developing targeted risk management and control. Based on the soil samples of Co, Cr, Cu, Mn, Ni, Pb, Zn, and Cd collected in one typical industrialized region in China from 2016 to 2019, this study analyzed the spatiotemporal pattern of geo-accumulation risk and potential ecological risk based on the spatiotemporal ordinary kriging (STOK) prediction, and probed the driving forces of heavy metal increments with the random forest (RF) regression model. The risk assessment revealed that soils were seriously contaminated by Pb, Cd, and Cu, moderately contaminated by Zn and Mn, and uncontaminated by Co, Cr, and Ni; more than 30% of areas had moderate to high potential ecological risks. From 2016 to 2019, soil heavy metal contents increased in more than 50% of regions and the growth rates of accumulations were ranked as Co (65%) > Ni (56%) > Mn (43%) > Pb (40%) > Cr (36%) > Zn (31%) > Cu (23%) > Cd (3%). High contents and increases of heavy metals in soils near industrial lands are higher. Smelter (24%), mine (20%), and factory (12%) were the major contributing factors for these heavy metal increments, followed by transportation (6%) and population (5%). The results indicated that the management of industrial discharge and contaminated soils should be strengthened to prevent the worsening soil heavy metal pollution in the study area.
Collapse
Affiliation(s)
- Xue Yang
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of the Yangtze River), Ministry of Agriculture, China
- Hubei Key Laboratory of Soil Environment and Pollution Remediation, Wuhan, China
| | - Yong Yang
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of the Yangtze River), Ministry of Agriculture, China
- Hubei Key Laboratory of Soil Environment and Pollution Remediation, Wuhan, China
| |
Collapse
|
41
|
Taghavi M, Darvishiyan M, Momeni M, Eslami H, Fallahzadeh RA, Zarei A. Ecological risk assessment of trace elements (TEs) pollution and human health risk exposure in agricultural soils used for saffron cultivation. Sci Rep 2023; 13:4556. [PMID: 36941314 PMCID: PMC10027692 DOI: 10.1038/s41598-023-31681-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/15/2023] [Indexed: 03/23/2023] Open
Abstract
Contamination of farmland soils by trace elements (TEs) has become an international issue concerning food safety and human health risks. In the present research, the concentrations of TEs including cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), manganese (Mn), nickel (Ni), lead (Pb), zinc (Zn) and iron (Fe) in soils of 16 farmlands were determined in Gonabad, Iran. In addition, the human health risks due to exposure to the TEs from the soils were assessed. Moreover, the soil contamination likelihood was evaluated based on various contamination indices including contamination factor [Formula: see text]), enrichment factor (EF), geo-accumulation index (Igeo), and pollution load index (PLI) calculations. The soil mean concentrations for Cd, Co, Cr, Cu, Mn, Ni, Pb, Zn and Fe ranges as 0.102, 6.968, 22.550, 29.263, 475.281, 34.234, 13.617, 54.482 and 19,683.6 mg/kg in farmland soils. The mean concentrations of the TEs decreased in the order of Fe > Mn > Zn > Ni > Cu > Cr > Pb > Co > As > Cd. Levels of all metals in this study were within the FAO/WHO and Iranian soil standards. The HQ values from investigated elements for adults and children in the studied farms were less than the limit of 1, indicating no health risks for the studied subpopulations. The results of the present research indicated no significant carcinogenic health hazards for both adults and children through ingestion, skin contact and inhalation exposure routes. [Formula: see text] values of Ni and Zn in 100% and 6.25% of farmlands were above 1, showing moderate contamination conditions. EF values of metals in farmlands were recorded as "no enrichment", "minimal enrichment" and "moderate enrichment" classes. Furthermore, it can be concluded that the all farms were uncontaminated except Ni (moderately contaminated) based on Igeo. This is an indication that the selected TEs in the agricultural soils have no appreciable threat to human health.
Collapse
Affiliation(s)
- Mahmoud Taghavi
- Department of Environment Health Engineering, School of Health, Social Determinates of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Mostafa Darvishiyan
- Student Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Maryam Momeni
- Student Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Hadi Eslami
- Department of Environmental Health Engineering, School of Health, Occupational Safety and Health Research Center, NICICO, World Safety Organization and Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Reza Ali Fallahzadeh
- Genetic and Environmental Adventures Research Center, School of Abarkouh Paramedicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Ahmad Zarei
- Department of Environment Health Engineering, School of Health, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
| |
Collapse
|
42
|
Li D, Lu Q, Cai L, Chen L, Wang H. Characteristics of Soil Heavy Metal Pollution and Health Risk Assessment in Urban Parks at a Megacity of Central China. TOXICS 2023; 11:257. [PMID: 36977022 PMCID: PMC10053100 DOI: 10.3390/toxics11030257] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/27/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
In this study, we compared the concentrations of the heavy metals Cd, Cr, Cu, Zn, Ni, and Pb in the surface soils of urban parks in Wuhan, Hubei Province, with those in the surface soils of urban parks worldwide. The soil contamination data were assessed using enrichment factors and spatial analysis of heavy metals using inverse distance weighting and quantitative analysis of heavy metal sources with a positive definite matrix factor (PMF) receptor model. Further, a probabilistic health risk assessment of children and adults using Monte Carlo simulation was performed. The average Cd, Cr, Cu, Zn, Ni, and Pb concentrations in the surface soils of urban parks were 2.52, 58.74, 31.39, 186.28, 27.00, and 34.89 mg·kg-1, respectively, which exceeded the average soil background values in Hubei. From the inverse distance spatial interpolation map, heavy metal contamination was primarily observed to be present to the southwest of the main urban area. The PMF model resolved four sources: mixed traffic and industrial emission, natural, agricultural, and traffic sources, with relative contributions of 23.9%, 19.3%, 23.4%, and 33.4%, respectively. The Monte Carlo health risk evaluation model demonstrated negligible noncancer risks for both adult and child populations, whereas the health effects of Cd and Cr on children were a concern for cancer risks.
Collapse
Affiliation(s)
- Ding Li
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
- Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China
| | - Qing Lu
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510535, China
| | - Limei Cai
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
- Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China
| | - Laiguo Chen
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510535, China
| | - Hanzhi Wang
- School of Resources & Environmental Science, Wuhan University, Wuhan 430079, China
| |
Collapse
|
43
|
Yao C, Shen Z, Wang Y, Mei N, Li C, Liu Y, Ma W, Zhang C, Wang D. Tracing and quantifying the source of heavy metals in agricultural soils in a coal gangue stacking area: Insights from isotope fingerprints and receptor models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 863:160882. [PMID: 36521623 DOI: 10.1016/j.scitotenv.2022.160882] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/06/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
Historic coal gangue stacking probably brings heavy metals (HMs) into the surrounding agricultural soil, posing potential harm to human and environmental health. For better controlling and preventing agricultural soil HMs pollution, the screening of priority pollutants and identification of their pollution pathways are urgent in coal gangue stacking areas. Thus, this study selected a coal gangue stacking area in Chongqing, China as the research object and conducted the pollution evaluation, spatial distribution and source apportionment of the HMs (Cd, Cr, Ni, Cu, Zn, As, Pb and Hg) in surrounding agricultural soil. Results showed that the soil was moderately to heavily contaminated by Cd with average concentrations of 1.23 mg/kg, which were 4.1 times higher than the Environmental Quality Standards for Soils of China. Cd was considered as the soil precedent-controlled pollutant in this study area and subsequent soil δ114/110Cd values indicated that Cd in surface soils primarily originated from the leachate of coal gangue stacking, which contributed about 89.9 % and 85.47 % to the total soil Cd according to the absolute principal component scores-multiple linear regression model (APCS-MLR) and positive matrix factorization model (PMF), respectively. In addition, other HMs mainly resulted from the leachate of coal gangue, natural and agricultural mixed pollution as well as traffic pollution. Therefore, this study provided basic information for pollution control of the HMs in agricultural soil in the coal gangue stacking area.
Collapse
Affiliation(s)
- Cong Yao
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Zhijie Shen
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Yongmin Wang
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Nan Mei
- Chongqing Municipal Solid Waste Management Center, Chongqing 401147, China
| | - Caixia Li
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Yajun Liu
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Weibin Ma
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Cheng Zhang
- College of Resources and Environment, Southwest University, Chongqing 400715, China.
| | - Dingyong Wang
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| |
Collapse
|
44
|
Guo G, Wang Y, Zhang D, Li K, Lei M. Human health risk apportionment from potential sources of heavy metals in agricultural soils and associated uncertainty analysis. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:881-897. [PMID: 35348989 DOI: 10.1007/s10653-022-01243-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
Evaluating heavy metal pollution level in the soils and apportioning the source-specific health risk of heavy metals are critical for proposing environmental protection and remediation strategies to protection human health. This study explored heavy metal pollution and associated source-specific health risks in a typical rural industrial area, southwestern China. A total of 105 topsoil samples were collected and the concentrations of heavy metals, including As, Cd, Cr, Cu, Ni, Pb and Zn, were determined. Pollution load index and enrichment factors were used to evaluate the pollution level of heavy metals. Positive matrix factorization (PMF) model was applied to apportion the heavy metals and the associated source-specific health risks to adults and children were estimated via combining the PMF model with the health risk assessment. The results indicated that the soils were highly polluted by multiple heavy metals, especially for Cd, with the EF values of 24.94 and 22.55 in the upstream and downstream areas, respectively. Source apportionment results showed that atmospheric deposition, smelting activities, fertilizer and sewage application, and agrochemical utilization were the main anthropogenic sources, with the contributions of 37.11%, 23.69%, 19.69%, and 19.51%, respectively. Source-specific risk assessment identified atmospheric deposition as the priority source for the non-carcinogenic (NCR) and carcinogenic risks (CR) in the study area, with the contribution of 43.71% and 52.52% for adults, and 44.29% and 52.58% for children, respectively. Moreover, non-carcinogenic and carcinogenic risks posed to children (NCR: 2.84; CR: 1.31 × 10-4) from four sources was higher than those posed to adults (NCR: 0.29; CR: 5.86 × 10-5). The results of source-specific health risk assessment provided the valuable information on the priority sources for pollution preventing and risk controlling.
Collapse
Affiliation(s)
- Guanghui Guo
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuntao Wang
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Degang Zhang
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kai Li
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Mei Lei
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| |
Collapse
|
45
|
Source apportionment and source-specific risk evaluation of potential toxic elements in oasis agricultural soils of Tarim River Basin. Sci Rep 2023; 13:2980. [PMID: 36806786 PMCID: PMC9941508 DOI: 10.1038/s41598-023-29911-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 02/13/2023] [Indexed: 02/22/2023] Open
Abstract
As rapidly developing area of intensive agriculture during the past half century, the oases in the source region of the Tarim River have encountered serious environmental challenges. Therefore, a comparative analysis of soil pollution characteristics and source-specific risks in different oases is an important measure to prevent and control soil pollution and provide guidance for extensive resource management in this area. In this study, the concentration of potential toxic elements (PTEs) was analyzed by collecting soil samples from the four oases in the source region of the Tarim River. The cumulative frequency curve method, pollution index method, positive matrix factorization (PMF) model, geographical detector method and health risk assessment model were used to analyze the pollution status and source-specific risk of potential toxic elements in different oases. The results showed that Cd was the most prominent PTE in the oasis agricultural soil in the source region of the Tarim River. Especially in Hotan Oasis, where 81.25% of the soil samples were moderately contaminated and 18.75% were highly contaminated with Cd. The PTEs in the Hotan Oasis corresponded to a moderate level of risk to the ecological environment, and the noncarcinogenic risk of soil PTEs in the four oases to local children exceeded the threshold (TH > 1), while the carcinogenic risk to local residents was acceptable (1E-06 < TCR < 1E-04). The research results suggested that the Hotan Oasis should be the key area for soil pollution control in the source region of the Tarim River, and agricultural activities and natural sources, industrial sources, and atmospheric dust fall are the priority sources that should be controlled in the Aksu Oasis, Kashgar Oasis and Yarkant River Oasis, respectively. The results of this study provide important decision-making support for the protection and management of regional agricultural soil and the environment.
Collapse
|
46
|
Wang F, Huo L, Li Y, Wu L, Zhang Y, Shi G, An Y. A hybrid framework for delineating the migration route of soil heavy metal pollution by heavy metal similarity calculation and machine learning method. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:160065. [PMID: 36356739 DOI: 10.1016/j.scitotenv.2022.160065] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 10/16/2022] [Accepted: 11/04/2022] [Indexed: 06/16/2023]
Abstract
Soil heavy metal contamination was a global environmental issue that posed adverse impacts on ecological and human health risks. The controlling of soil heavy metal is mainly focused on the emission source and pipe-end treatment, less is known about the intermediate controlling process. The migration route of heavy metals exhibited the spatial evolution of pollutants from the sources to the pipe-end, which provided the more reasonable location for the target-oriented treatment of soil heavy metal. Here, we proposed a new view of heavy metal similarity, which quantitatively expressed how closely of the contaminations between the study area and the test areas. We found that the similarity of different heavy metals was unequally distributed across locations that were related with five main sources, namely agricultural activities, natural sources, traffic emissions, industrial activities, and other sources. Based on the similarity, a state-of-the-art machine learning method was applied to delineate the migration route of soil heavy metals. Thereinto, As was concentrated around livestock farms, and its migration route was close to the water system. Cd migration route was over-dispersed in the areas where located mine fields and chemical plants. Migration routes of Hg and Pb were along rivers, which were related to agricultural activities and natural sources. Overall, the perspective on similarity and migration routes provided theoretical basis and method to alleviate soil heavy metal pollution at regional scale and can be extended across largescale regions.
Collapse
Affiliation(s)
- Feng Wang
- Agro-environmental Protection Institute, Ministry of Agriculture, Tianjin 300071, China; College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Lili Huo
- Agro-environmental Protection Institute, Ministry of Agriculture, Tianjin 300071, China
| | - Yue Li
- College of Computer Science, Nankai University, Tianjin 300350, China
| | - Lina Wu
- Agro-environmental Protection Institute, Ministry of Agriculture, Tianjin 300071, China
| | - Yanqiu Zhang
- Agro-environmental Protection Institute, Ministry of Agriculture, Tianjin 300071, China; College of Resource and Environment, Huazhong Agricultural University, Wuhan 430070, China
| | - Guoliang Shi
- College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yi An
- Agro-environmental Protection Institute, Ministry of Agriculture, Tianjin 300071, China.
| |
Collapse
|
47
|
Liang J, Liu Z, Tian Y, Shi H, Fei Y, Qi J, Mo L. Research on health risk assessment of heavy metals in soil based on multi-factor source apportionment: A case study in Guangdong Province, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159991. [PMID: 36347288 DOI: 10.1016/j.scitotenv.2022.159991] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 05/16/2023]
Abstract
Environmental problems caused by heavy metal pollution in soil have attracted widespread attention worldwide. Identifying and quantifying the heavy metal pollution sources and risks is crucial for subsequent soil management. In this study, an integrated source-risk method for source apportionment and risk assessment based on the PMF model, the geodetector model and the health risk assessment model (HRA) was proposed and applied. Analysis of Hg, As, Pb, Cd, Cu, Ni, Cr, and Zn in 208 topsoils showed that the average contents of eight heavy metals were 1.87-5.86 times greater than corresponding background values, among which Cd and As were relatively high, which were higher than the specified soil risk screening values, high-value areas of heavy metals are mainly concentrated in the central part of the study area. The source apportionment showed that the accumulation of heavy metals was affected by five sources: atmospheric deposition (16.3 %), natural sources (33.1 %), industrial activities dominated by metal mining (15.1 %), industrial activities dominated by metal smelting (12.6 %) and traffic sources (22.9 %). The results of the health risk assessment showed that the carcinogenic risks (adult: 4.74E-05, children: 7.41E-05) of heavy metals in soil to the study population were both acceptable, the non-carcinogenic risk of adult (THI = 0.277) was within the limit, while the non-carcinogenic risk of children (THI = 1.70) was higher than the limit value. Ingestion (89.5 %-95.9 %) contributed the greatest health risk among all exposure routes. Source 3 (arsenic-related industrial activities dominated by metal mining) contributed the most to the HI and CRI of adults and children (all above 50 %), therefore, in the formulation stage of soil management strategy in this area, priority should be given to the control and management of this pollution source. These results can provide more detailed support for environmental protection departments to propose targeted soil pollution control measures.
Collapse
Affiliation(s)
- Jiahui Liang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Zhaoyue Liu
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Yiqi Tian
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Huading Shi
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
| | - Yang Fei
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
| | - Jingxian Qi
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Li Mo
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| |
Collapse
|
48
|
Yuan CZ, Wang XR. Source Apportionment and Health Risk Assessment of Heavy Metals in Soils of Old Industrial Areas-A Case Study of Shanghai, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2395. [PMID: 36767761 PMCID: PMC9915166 DOI: 10.3390/ijerph20032395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Heavy metals in the soil of industrial areas pose severe health risks to humans after land-use properties are transformed into residential land. The public exposure time and frequency will soar significantly under residential land. However, much uncertainty still exists about the relationship between soil heavy metal pollution and-human health risks in an old industrial zone in Shanghai, China. Principal component analysis-(PCA) was used to explore the main sources of these heavy metals. Kriging interpolation was u-sed to identify their spatial distribution and high-risk areas, and the Human Health risk model was used to measure health risk. The results illustrate that the pollution levels of Cd, Hg, and Pb in industrial land are more serious than those in irrigation cropland. Meanwhile, the results of PCA showed that there were two main pollution sources under irrigated cropland, a natural source and a traffic source, accounting for 44.1% and 31.0%, respectively, and there were three main pollution sources under industrial land, with natural sources accounting for 28.5%, traffic sources accounting for 25.7%, and industrial sources accounting for 13.1%. In addition, the health risk assessment results indicated that the priority control pollutants of non-carcinogenic risk and carcinogenic risk were Zn and Cr, respectively. The high-risk area was mainly located in the middle of the study area. These results indicate that eliminating heavy metal pollution in the soil of the industrial area is so important to decrease health risks. The results of this study provide theoretical contributions to early warning of health risks related to heavy metal pollution in industrial area soil and serve as a practical reference for speeding up the formulation of industrial land pollution management policies.
Collapse
|
49
|
Su C, Wang J, Chen Z, Meng J, Yin G, Zhou Y, Wang T. Sources and health risks of heavy metals in soils and vegetables from intensive human intervention areas in South China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159389. [PMID: 36243077 DOI: 10.1016/j.scitotenv.2022.159389] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 06/16/2023]
Abstract
Heavy metal pollution greatly harms the soil environment and poses threats to food safety and human health. This study aimed to quantify and analyze the sources of heavy metals and assess the health risks associated with the human intake of contaminated vegetables in South China. Heavy metals (Cd, As, Hg, Cu, Ni, Pb, Zn, and Cr) in soil and vegetables (leaf vegetables, legume vegetables, and cucurbits) were investigated and evaluated for contamination. By combining the correlation analysis (CA), positive matrix factorization (PMF), and GeoDetector model, source apportionments were comprehensively identified. Results showed that Cd was the predominant element in soils throughout the study area. Industrial (28.36 %, 20.24 %, 31.50 %), agricultural (27.19 %, 46.50 %, 27.30 %), besides traffic, atmospheric deposition and natural sources were identified as the dominant sources of heavy metals in GD01, GD02, and GD03, respectively. The human health risk assessment showed that the total non-cancer risk of heavy metals (i.e., Cr, Ni, As, Cd, and Pb) ingested through vegetables was 2.3E+00 for children and 9.67E-01 for adults, and the total cancer risk for children was 2.54E-02 and 1.07E-02 for adults, both of which exceeded acceptable levels. It is worth noting that children are more susceptible to health risks due to the consumption of contaminated vegetables than adults.
Collapse
Affiliation(s)
- Chuanghong Su
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, China
| | - Jianwen Wang
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, China
| | - Zhenwei Chen
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, China
| | - Jing Meng
- Key Laboratory of Environment Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Guangcai Yin
- Guangdong Industrial Contaminated Site Remediation Technology and Equipment, Engineering Research Center, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Yunqiao Zhou
- Key Laboratory of Environment Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Tieyu Wang
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, China.
| |
Collapse
|
50
|
Source apportionment of soil heavy metals with PMF model and Pb isotopes in an intermountain basin of Tianshan Mountains, China. Sci Rep 2022; 12:19429. [PMID: 36371499 PMCID: PMC9653478 DOI: 10.1038/s41598-022-24064-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/09/2022] [Indexed: 11/13/2022] Open
Abstract
A boom in tourism may lead to the enrichment in heavy metals (HMs) in soils. Contamination with HMs poses a significant threat to the security of the soil environment. In this study, topsoil samples were collected from a tourist area of Sayram Lake, and the concentrations of HMs (Cr, Cu, Ni, Pb, Zn and Cd) were determined. With contamination and eco-risk assessment models, correlation analysis, Pb isotope ratios, redundancy analysis and positive matrix factorization (PMF) model, the risks and sources of HMs in the soil were studied. The Igeo results suggested that Cd was the primary pollutant in the tourist area of Sayram Lake. The potential ecological risk index (PERI) showed that the study area was at low risk, and the pollution load index (PLI) indicated that the study area had a moderate contamination level. Qualitative and quantitative analyses apportioned three sources of HMs, namely, natural sources (38.5%), traffic sources (27.2%) and mixed sources (tourist waste and atmospheric deposition) (34.3%). Redundancy analysis results showed that the HMs content was related to SiO2, Al2O3, TiO2, P2O5, MnO, K2O, Fe2O3 and SOC, and heavy metals tended to be stored in soil particles of grain sizes < 32 µm. These findings are expected to provide useful insights into the source identification of HMs in the soils of mountain tourism areas and provide a scientific decision-making basis for sustainable tourism development and for the assessment of ecological service values in the Tianshan Mountains.
Collapse
|