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Jia H, Luo J, Feng S, Ke X, Zhu Q, Zhang Y. The environmental capacity of rare heavy metal calculation in the Qinghai‒Tibet Plateau region via multifractal analysis. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:919. [PMID: 39256236 DOI: 10.1007/s10661-024-13075-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 08/27/2024] [Indexed: 09/12/2024]
Abstract
Accurate assessments of the soil environmental capacity are important for evaluating heavy metal pollution levels, facilitating effective prevention and control measures against such pollution. However, due to the lack of risk screening values for certain key elements, such as Rb, Sn, and Th, the assessment of the soil environmental capacity is not comprehensive. Therefore, in this study, the Menyuan-Huangzhong area of Qinghai Province was selected as the research area, and local background and risk values were established via multifractal analysis, thereby systematically examining the environmental capacity. The findings indicated that within the study area, the static environmental capacity values of 15 elements could be ranked as follows: Ba, Cu, Zn, Cr, Rb, Ni, La, Pb, Th, As, U, Sn, Tl, Cd, and Hg. In general, the residual capacity distribution of the various elements varied across the study area, with lower values primarily found in the northern and central regions and higher values obtained in the northwestern and southwestern regions. Between 2018 and 2068, there was a notable and rapid decline in the dynamic environmental capacity of Hg, Cu, and Cd in the study area. In the Menyuan-Huangzhong area of Qinghai, the average comprehensive soil environmental capacity index reached 0.91, indicating a moderate environmental capacity and slight associated health risks. The findings of this study could serve as a valuable reference for soil heavy metal pollution assessment, early warning, and management in this area; enhance the study of soil environmental capacity methods; and provide a theoretical foundation for subsequent research.
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Affiliation(s)
- Heran Jia
- College of Resources and Environment, Yangtze University, Wuhan, China
| | - Jie Luo
- College of Resources and Environment, Yangtze University, Wuhan, China
| | - Siyao Feng
- College of Resources and Environment, Yangtze University, Wuhan, China
| | - Xinying Ke
- College of Resources and Environment, Yangtze University, Wuhan, China
| | - Qiaohui Zhu
- College of Resources and Environment, Yangtze University, Wuhan, China
| | - Yuqi Zhang
- College of Resources and Environment, Yangtze University, Wuhan, China.
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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.
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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
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Zhu S, Li S, Shao M, Qiao J, Zhu Y. Source identification and migration fate of heavy metals of soil-groundwater system in a thousand-year cultivation region. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:345. [PMID: 39073488 DOI: 10.1007/s10653-024-02130-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 07/15/2024] [Indexed: 07/30/2024]
Abstract
Pollution of farmland by heavy metals threatens food security and human health. In addition, heavy metals in soil could infiltrate into groundwater to influence the water quality and safety of drinking water. However, the relationship between heavy metal pollution in soil and groundwater is still not clear. In this study, we investigated the soil and groundwater in the Guanzhong Plain region, which is a significant grain production base in China, and determined the spatial distributions, ecological risk, sources, and migration fates of heavy metals (As, Cd, Cr, Cu, Ni, Pb, and Zn). The results showed that the mean values (0-20 cm) in the soil were 19.57 mg kg-1 for As, 0.71 mg kg-1 for Cd, 69.65 mg kg-1 for Cr, 21.97 mg kg-1 for Cu, 28.67 mg kg-1 for Ni, 17.54 mg kg-1 for Pb, and 73.77 mg kg-1 for Zn, and the corresponding mean values in groundwater were 1.2, 0.04, 4.69, 0.15, 0.07, 0.3, and 3.6 μg L-1, respectively. The mean values for As, Cd, Cr, Pb, and Zn in soil exceeded the background values, and the mean values for As, Cd and Pb exceeded those in groundwater. Positive matrix factorization models identified five sources (fertilizers and organic fertilizers, natural sources, pesticides and herbicides, industrial activities, and sedimentation caused by transportation) for heavy metal pollution in soil and four sources (industry activity, atmospheric sedimentation caused by transportation, natural sources, and agriculture) for heavy metal pollution in groundwater. The soil particle composition and soil organic carbon content were important factors that affected the vertical distribution of heavy metals in the soil. The migration modes (convection and diffusion) were not found for all heavy metals. These results help to understand the relationships between heavy metals in soil and groundwater in farmland ecosystems regionally.
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Affiliation(s)
- Shu Zhu
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China
| | - Shuyi Li
- State Key Laboratory of Soil Erosion and Dryland Agriculture on the Loess Plateau, Northwest A&F University, Yangling, 712100, China
| | - Ming'an Shao
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China.
- State Key Laboratory of Soil Erosion and Dryland Agriculture on the Loess Plateau, Northwest A&F University, Yangling, 712100, China.
| | - Jiangbo Qiao
- State Key Laboratory of Soil Erosion and Dryland Agriculture on the Loess Plateau, Northwest A&F University, Yangling, 712100, China.
| | - Yuanjun Zhu
- College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China
- State Key Laboratory of Soil Erosion and Dryland Agriculture on the Loess Plateau, Northwest A&F University, Yangling, 712100, China
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4
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Deliboran A, Varol M, Aytop H. Evaluation of ecological and health risks of trace elements in soils of olive orchards and apportionment of their sources using the APCS-MLR receptor model. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:320. [PMID: 39012557 PMCID: PMC11252231 DOI: 10.1007/s10653-024-02108-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: 05/03/2024] [Accepted: 06/28/2024] [Indexed: 07/17/2024]
Abstract
İzmir, Turkey's third most populous city, is in an important position in terms of both agriculture and industry. The province, which contributes 9.3% to the country's industrial production, also has an important potential in terms of olive cultivation. However, until now, no research has been undertaken to analyze the content of trace elements (TEs) in the soil of olive orchards in İzmir. This study was carried out to determine the pollution level and ecological risks of TEs in the olive orchards soils of İzmir province, to reveal their potential sources and to evaluate their health risks. Among the TEs, the average content of only Ni (37.9 mg/kg) exceeded the world soil average content (29 mg/kg), while the average content of only Cd (0.176 mg/kg) exceeded the upper continental crust content (0.09 mg/kg). Enrichment factor revealed that there was significant enrichment for Cd in 73.6%, Ni in 11.6% and Cr in 5.4% of olive orchards, respectively, due to polluted irrigation water and agrochemicals. Similarly, ecological risk factor indicated that there were moderate and considerable ecological risks for Cd in 48.8% and 23.3% of olive orchards, respectively. Absolute principal component scores-multiple linear regression (APCS-MLR) model showed that Ni and Cr in the study area are affected by agricultural sources, Al, Co, Cu, Fe, Mn, Pb and Zn originate from lithogenic sources, and Cd originates from mixed sources. Based on health risk evaluation methods, non-carcinogenic and carcinogenic effects would not be expected for residents. This study provides significant knowledge for evaluating soil TE pollution in olive orchards and serves a model for source apportionment and human health risk evaluation of TEs in other agricultural regions.
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Affiliation(s)
| | - Memet Varol
- Faculty of Agriculture, Malatya Turgut Özal University, Malatya, Turkey.
| | - Halil Aytop
- Kahramanmaraş East Mediterranean Transitional Zone Agricultural Research of Institute, Kahramanmaraş, Turkey
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Zhang X, Liu H, Li X, Zhang Z, Chen Z, Ren D, Zhang S. Ecological and health risk assessments of heavy metals and their accumulation in a peanut-soil system. ENVIRONMENTAL RESEARCH 2024; 252:118946. [PMID: 38631470 DOI: 10.1016/j.envres.2024.118946] [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: 04/09/2024] [Accepted: 04/14/2024] [Indexed: 04/19/2024]
Abstract
Heavy metals pollution is a notable threat to environment and human health. This study evaluated the potential ecological and health risks of heavy metals (Cu, Cr, Cd, Pb, Zn, Ni, and As) and their accumulation in a peanut-soil system based on 34 soil and peanut kernel paired samples across China. Soil As and Cd posed the greatest pollution risk with 47.1% and 17.6% of soil samples exceeding the risk screen levels, respectively, with 26.5% and 20.6% of the soil sites at relatively strong potential ecological risk level, respectively, and with the geo-accumulation levels at several soil sites in the uncontaminated to moderately contaminated categories. About 35.29% and 2.94% of soil sites were moderately and severely polluted based on Nemerow comprehensive pollution index, respectively, and a total of 32.4% of samples were at moderate ecological hazard level based on comprehensive potential ecological risk index values. The Cd, Cr, Ni, and Cu contents exceeded the standard in 11.76, 8.82, 11.76 and 5.88% of the peanut kernel samples, respectively. Soil metals posed more health risks to children than adults in the order As > Ni > Cr > Cu > Pb > Zn > Cd for non-carcinogenic health risks and Ni > Cr ≫ Cd > As > Pb for carcinogenic health risks. The soil As non-cancer risk index for children was greater than the permitted limits at 14 sites, and soil Ni and Cr posed the greatest carcinogenic risk to adults and children at many soil sites. The metals in peanut did not pose a non-carcinogenic risk according to standard. Peanut kernels had strong enrichment ability for Cd with an average bio-concentration factor (BCF) of 1.62. Soil metals contents and significant soil properties accounted for 35-74% of the variation in the BCF values of metals based on empirical prediction models.
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Affiliation(s)
- Xiaoqing Zhang
- College of Resource and Environmental Engineering, Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resource, Wuhan University of Science and Technology, Wuhan, 430081, PR China.
| | - Huanhuan Liu
- College of Resource and Environmental Engineering, Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resource, Wuhan University of Science and Technology, Wuhan, 430081, PR China.
| | - Xin Li
- Baowu Water Technology Co., Ltd. Wuhan Branch, 430081, PR China.
| | - Zhaowei Zhang
- School of Bioengineering and Health, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, PR China.
| | - Zhihua Chen
- School of Environment, Henan Normal University, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Xinxiang, 453007, PR China.
| | - Dajun Ren
- College of Resource and Environmental Engineering, Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resource, Wuhan University of Science and Technology, Wuhan, 430081, PR China.
| | - Shuqin Zhang
- College of Resource and Environmental Engineering, Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resource, Wuhan University of Science and Technology, Wuhan, 430081, PR China.
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Luo Y, Wang Z, Zhang YD, Zhang JQ, Zeng QP, Zhang ZL, Tian D, Li C, Peng CL, Ye K, Chen YM, Huang FY, Wang YP, Ma XY, Chen L. Vertical migration behavior simulation and prediction of Pb and Cd in co-contaminated soil around Pb-Zn smelting slag site. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133990. [PMID: 38460261 DOI: 10.1016/j.jhazmat.2024.133990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 03/11/2024]
Abstract
Heavy metal migration in soil poses a serious threat to the soil and groundwater. Understanding the migration pattern of heavy metals (HMs) under different factors could provide a more reasonable position for pollution evaluation and targetoriented treatment of soil heavy metal. In this study, the migration behavior of Pb and Cd in co-contaminated soil under different pH and ionic strength (NaCl concentration) was simulated using convective dispersion equation (CDE). We predicted the migration trends of Pb and Cd in soils after 5, 10, and 20 years via PHREEQC. The results showed that the migration time of Cd in the soil column experiment was about 60 days faster than that of Pb, and the migration trend was much steeper. The CDE was proved to describe the migration behavior of Pb and Cd (R2 > 0.75) in soil. The predicted results showed that Cd migrated to 15-20 cm of soil within 7 years and Pb stayed mainly in the top 0-6 cm of soil within 5 years as the duration of irrigation increased. Overall, our study is expected to provide new insight into the migration of heavy metal in soil ecosystems and guidance for reducing risk of heavy metal in the environment.
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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.
| | - Yong-De 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
| | - Zhen-Long Zhang
- 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
| | - Chao-Liang Peng
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Kai Ye
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Yi-Ming Chen
- 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
| | - Yu-Ping Wang
- International Faculty of Applied Technology, Yibin University, Yibin, Sichuan 644000, China
| | - Xiao-Ya Ma
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Li Chen
- College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
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Yang W, Zhang L, Gao B, Liu X, Duan X, Wang C, Zhang Y, Li Q, Wang L. Integrated assessment of potentially toxic elements in soil of the Kangdian metallogenic province: A two-point machine learning approach. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 276:116248. [PMID: 38579531 DOI: 10.1016/j.ecoenv.2024.116248] [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: 09/12/2023] [Revised: 02/17/2024] [Accepted: 03/20/2024] [Indexed: 04/07/2024]
Abstract
The accumulation of potentially toxic elements in soil poses significant risks to ecosystems and human well-being due to their inherent toxicity, widespread presence, and persistence. The Kangdian metallogenic province, famous for its iron-copper deposits, faces soil pollution challenges due to various potentially toxic elements. This study explored a comprehensive approach that combinescombines the spatial prediction by the two-point machine learning method and ecological-health risk assessment to quantitatively assess the comprehensive potential ecological risk index (PERI), the total hazard index (THI) and the total carcinogenic risk (TCR). The proportions of copper (Cu), cadmium (Cd), manganese (Mn), lead (Pb), zinc (Zn), and arsenic (As) concentrations exceeding the risk screening values (RSVs) were 15.03%, 5.1%, 3.72%, 1.24%, 1.1%, and 0.13%, respectively, across the 725 collected samples. Spatial prediction revealed elevated levels of As, Cd, Cu, Pb, Zn, mercury (Hg), and Mn near the mining sites. Potentially toxic elements exert a slight impact on soil, some regions exhibit moderate to significant ecological risk, particularly in the southwest. Children face higher non-carcinogenic and carcinogenic health risks compared to adults. Mercury poses the highest ecological risk, while chromium (Cr) poses the greatest health hazard for all populations. Oral ingestion represents the highest non-oncogenic and oncogenic risks in all age groups. Adults faced acceptable non-carcinogenic risks. Children in the southwest region confront higher health risks, both non-carcinogenic and carcinogenic, from mining activities. Urgent measures are vital to mitigate Hg and Cr contamination while promoting handwashing practices is essential to minimize health risks.
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Affiliation(s)
- Wantao Yang
- Yunnan Key Laboratory of Soil Erosion Prevention and Green Development, Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China; Key Laboratory of Natural Resource Coupling Process and Effects, Ministry of Natural Resources, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Kunming General Survey of Natural Resources Center, China Geological Survey, Kunming 650111, China; Technology Innovation Center for Natural Ecosystem Carbon Sink, Ministry of Natural Resources, Kunming 650111, China
| | - Liankai Zhang
- Kunming General Survey of Natural Resources Center, China Geological Survey, Kunming 650111, China; Technology Innovation Center for Natural Ecosystem Carbon Sink, Ministry of Natural Resources, Kunming 650111, China
| | - Bingbo Gao
- College of Land Science and Technology, China Agricultural University, 17 Tsinghua East Road, Beijing 100083, China
| | - Xiaojie Liu
- Key Laboratory of Natural Resource Coupling Process and Effects, Ministry of Natural Resources, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Technology Innovation Center for Natural Ecosystem Carbon Sink, Ministry of Natural Resources, Kunming 650111, China.
| | - Xingwu Duan
- Yunnan Key Laboratory of Soil Erosion Prevention and Green Development, Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
| | - Chenyi Wang
- College of Land Science and Technology, China Agricultural University, 17 Tsinghua East Road, Beijing 100083, China
| | - Ya Zhang
- Kunming General Survey of Natural Resources Center, China Geological Survey, Kunming 650111, China; Technology Innovation Center for Natural Ecosystem Carbon Sink, Ministry of Natural Resources, Kunming 650111, China
| | - Qiang Li
- Kunming General Survey of Natural Resources Center, China Geological Survey, Kunming 650111, China; Technology Innovation Center for Natural Ecosystem Carbon Sink, Ministry of Natural Resources, Kunming 650111, China
| | - Lingqing Wang
- Key Laboratory of Natural Resource Coupling Process and Effects, Ministry of Natural Resources, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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Haque KS, Islam MS, Ahmed S, Rahman MZ, Hemy DH, Islam MT, Hossain MK, Uddin MR, Md Towfiqul Islam AR, Mia MY, Ismail Z, Al Bakky A, Ibrahim KA, Idris AM. WITHDRAWN: Trace metals translocation from soil to plants: Health risk assessment via consumption of vegetables in the urban sprawl of a developing country. Food Chem Toxicol 2024:114580. [PMID: 38467293 DOI: 10.1016/j.fct.2024.114580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 03/13/2024]
Abstract
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal.
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Affiliation(s)
- Km Shamsul Haque
- School of Agricultural Environmental and Veterinary Sciences, Charles Sturt University, Wagga, NSW, 2650, Australia
| | - Md Saiful Islam
- Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Sujat Ahmed
- Environment, Center for People & Environ (CPE), Dhaka, Bangladesh
| | - Md Zillur Rahman
- Department of Agronomy and Haor Agriculture, Sylhet Agricultural University, Sylhet, 3100, Bangladesh; School of Life and Environmental Sciences, Sydney Institute of Agriculture, Faculty of Science, The 13 University of Sydney, Australia
| | - Debolina Halder Hemy
- Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Md Towhidul Islam
- Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Md Kamal Hossain
- Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Md Rafiq Uddin
- Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Abu Reza Md Towfiqul Islam
- Department of Disaster Management, Begum Bekeya University, Rangpur, 5400, Bangladesh; Department of Development Studies, Daffodil International University, Dhaka, 1216, Bangladesh
| | - Md Yousuf Mia
- Department of Disaster Management, Begum Bekeya University, Rangpur, 5400, Bangladesh
| | - Zulhilmi Ismail
- Centre for River and Coastal Engineering (CRCE), Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia; Department of Water & Environmental Engineering, Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor, Malaysia
| | - Abdullah Al Bakky
- Agricultural wing, Bangladesh Jute Research Institute, Dhaka, 1207, Bangladesh
| | - Khalid A Ibrahim
- Department of Biology, College of Science, King Khalid University, Abha, 62529, Saudi Arabia; Center for Environment and Tourism Studies and Research, King Khalid University, Abha, 62529, Saudi Arabia
| | - Abubakr M Idris
- Department of Chemistry, College of Science, King Khalid University, Abha, 62529, Saudi Arabia
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Guo Y, Yang Y, Li R, Liao X, Li Y. Cadmium accumulation in tropical island paddy soils: From environment and health risk assessment to model prediction. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133212. [PMID: 38101012 DOI: 10.1016/j.jhazmat.2023.133212] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/22/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
Cultivated soil quality is crucial because it directly affects food safety and human health, and rice is of primary concern because of its centrality to global food networks. However, a detailed understanding of cadmium (Cd) geochemical cycling in paddy soils is complicated by the multiple influencing factors present in many rice-growing areas that overlap with industrial centers. This study analyzed the pollution characteristics and health risks of Cd in paddy soils across Hainan Island and identified key influencing factors based on multi-source environmental data and prediction models. Approximately 27.07% of the soil samples exceeded the risk control standard screening value for Cd in China, posing an uncontaminated to moderate contamination risk. Cd concentration and exposure duration contributed the most to non-carcinogenic and carcinogenic risks to children, teens, and adults through ingestion. Among the nine prediction models tested, Extreme Gradient Boosting (XGBoost) exhibited the best performance for Cd prediction with soil properties having the highest importance, followed by climatic variables and topographic attributes. In summary, XGBoost reliably predicted the soil Cd concentrations on tropical islands. Further research should incorporate additional soil properties and environmental variables for more accurate predictions and to comprehensively identify their driving factors and corresponding contribution rates.
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Affiliation(s)
- Yan Guo
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Yang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ruxia Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyong Liao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yonghua Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
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Li J, Liu JZ, Tai XS, Jiao L, Zhang M, Zang F. Pollution and source-specific risk analysis of potentially toxic metals in urban soils of an oasis-tourist city in northwest China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:55. [PMID: 38263529 DOI: 10.1007/s10653-023-01850-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: 11/01/2023] [Accepted: 12/27/2023] [Indexed: 01/25/2024]
Abstract
Source-specific risk apportionment for soil potentially toxic metals (PTMs) is of great significance for contamination prevention and risk management in urban environments. Eighty-five urban soil samples were obtained from an oasis-tourist city, China and examined for eight PTMs (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn). The pollution levels, sources, and ecological risk of soil PTMs were quantified, and their source-specific ecological and human health effects were also estimated using the multi-proxy approaches. The results demonstrated that accumulation of Cd, Hg, Pb, Cr, Cu, and Zn in soils was observed compared to their background levels, and the soils experienced varying degrees of PTMs pollution, especially at sites with high-intensity anthropogenic activities. Natural sources, atmospheric deposition, industrial sources, vehicular emissions, and comprehensive inputs were the principal sources, with contributions of 29.28%, 25.86%, 20.13%, 16.50%, and 8.23%, respectively. The integrated ecological risks of PTMs in soils were moderate at most sites, with atmospheric deposition being the dominant contributor to ecological risks. Children exhibited pronounced non-cancer risks, but adults had no notable non-cancer risks. Moreover, there were potential carcinogenic risks for both children and adults within the study region. Non-cancer and carcinogenic risks were more significant for children than adults, and traffic emissions were the primary contributor to non-cancer risks (adults: 20.53%, children: 20.49%) and carcinogenic risks (adults: 22.95%, children: 22.08%). The industrial and traffic activities were considered as priority control sources for soil pollution control and risk management, with Hg, Cd, Zn, and Pb corresponding to the priority elements. This study highlights the source-specific ecological and human health effects of PTMs pollution in urban soils, thereby providing valuable information for targeted pollution control and priority source management.
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Affiliation(s)
- Jun Li
- College of Urban Environment, Lanzhou City University, Lanzhou, 730070, China.
| | - Jun-Zhuo Liu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Xi-Sheng Tai
- College of Urban Environment, Lanzhou City University, Lanzhou, 730070, China
| | - Liang Jiao
- Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou, 730070, China
| | - Ming Zhang
- College of Urban Environment, Lanzhou City University, Lanzhou, 730070, China
| | - Fei Zang
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
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11
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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.
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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.
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12
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Zhang Z, Han J, Zhang Y, Sun Y, Sun Z, Liu Z. Connotation, status, and governance of land ecological security in China's new urbanization: recent advances and future prospects. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:119654-119670. [PMID: 37966642 DOI: 10.1007/s11356-023-30888-9] [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: 08/16/2023] [Accepted: 11/01/2023] [Indexed: 11/16/2023]
Abstract
The rapid development of China's new urbanization has created favorable conditions for economic growth and social development. Urbanization includes population urbanization and land urbanization, among which land urbanization leads to land ecological security problems. At present, there is a lack of comprehensive understanding of land ecological security in China's new urbanization construction. This paper aims to fill the gap by systematically combing relevant literature on the connotation, status, and governance of land ecological security in China's new urbanization. Literature review shows that China's land ecological security is still at a low level, and the new urbanization construction has significant impacts on land ecological security. Land contamination is the most critical factor threatening land ecological security, and there are differences in the levels of land contamination and types of pollutants in different new urbanization construction forms. According to an example of land ecological security governance with enterprises as the main body and multiple subjects cooperating, the governance of land ecological security needs to integrate a variety of different subjects to coordinate governance. Future research directions should focus on the construction of land ecological security assessment index system, development of land contamination multi-level control technology, and construction of multi-subject collaborative governance model with "government-enterprise-social organization-residents."
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Affiliation(s)
- Zhaoxin Zhang
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, 710075, China
| | - Jichang Han
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China.
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China.
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, 710075, China.
| | - Yang Zhang
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, 710075, China
| | - Yingying Sun
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, 710075, China
| | - Zenghui Sun
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, 710075, China
| | - Zhe Liu
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, 710075, China
- Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, 710075, China
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Fang S, Fang Z, Hua C, Zhu M, Tian Y, Yong X, Yang J, Ren L. Distribution, sources, and risk analysis of heavy metals in sediments of Xiaoqing River basin, Shandong province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:112445-112461. [PMID: 37831261 DOI: 10.1007/s11356-023-30239-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/29/2023] [Indexed: 10/14/2023]
Abstract
The accumulation of heavy metals in river sediment poses a major threat to ecological safety. The Xiaoqing River originates in western Jinan, with higher population density and per capita gross domestic product (GDP) in its basin compared to the Shandong province average. This study analyzed the spatial characteristics, ecological risk, human health risk, and contamination sources of heavy metals by collecting sediment samples from Xiaoqing River. We use the methods such as geo-accumulation index (Igeo), ecological risk assessment based on the interval number sorting method, and health risk assessment to evaluate the risk of heavy metals in sediments. The research finding suggests heavy metals including Pb, As, Ni, and Cr are low ecological risks, while Hg and Cd have reached high and extreme ecological risks. Correlation analysis and principal component analysis were used to analyze the correlation and sources of different heavy metals. The six heavy metals were categorized into three groups. Factor 1, comprising Hg, Cr, and Pb, was identified as a mixed source with a contribution rate of 37.76%. Factor 2 is an agricultural source and comprises Ni, Cd, and As with a contribution rate of 27.05%. Factor 3 includes Pb and Ni contributing to 15.30% as a natural source. This study offers valuable insights for the prevention of heavy metal pollution, as well as promoting sustainable urban development.
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Affiliation(s)
- Shumin Fang
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Zhaotong Fang
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Chunyu Hua
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Mengyuan Zhu
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Yueru Tian
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Xian Yong
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Jiaying Yang
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Lijun Ren
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China.
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14
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Habib MA, Islam ARMT, Varol M, Phoungthong K, Khan R, Islam MS, Hasanuzzaman M, Mia MY, Costache R, Pal SC. Receptor model-based source-specific health risks of toxic metal(loid)s in coal basin-induced agricultural soil in northwest Bangladesh. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:8539-8564. [PMID: 37646918 DOI: 10.1007/s10653-023-01740-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 08/17/2023] [Indexed: 09/01/2023]
Abstract
Toxic metal(loid)s (TMLs) in agricultural soils cause detrimental effects on ecosystem and human health. Therefore, source-specific health risk apportionment is very crucial for the prevention and control of TMLs in agricultural soils. In this study, 149 surface soil samples were taken from a coal mining region in northwest Bangladesh and analyzed for 12 TMLs (Pb, Cd, Ni, Cr, Mn, Fe, Co, Zn, Cu, As, Se, and Hg). Positive matrix factorization (PMF) and absolute principal component score-multiple linear regression (APCS-MLR) receptor models were employed to quantify the pollution sources of soil TMLs. Both models identified five possible sources of pollution: agrochemical practice, industrial emissions, coal-power-plant, geogenic source, and atmospheric deposition, while the contribution rates of each source were calculated as 28.2%, 17.2%, 19.3%, 19% and 16.3% in APCS-MLR, 22.2%, 13.4%, 24.3%, 15.1% and 25.1% in PMF, respectively. Agrochemical practice was the major source of non-carcinogenic risk (NCR) (adults: 32.37%, children: 31.54%), while atmospheric deposition was the highest source of carcinogenic risk (CR) (adults: 48.83%, children: 50.11%). NCR and CR values for adults were slightly higher than for children. However, the trends in NCR and CR between children and adults were similar. As a result, among the sources of pollution, agrochemical practices and atmospheric deposition have been identified as the primary sources of soil TMLs, so prevention and control strategies should be applied primarily for these pollution sources in order to protect human health.
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Affiliation(s)
- Md Ahosan Habib
- Industrial Ecology in Energy Research Center, Faculty of Environmental Management, 10 Prince of Songkla University, Songkhla, 90112, Thailand
- Geological Survey of Bangladesh, Government of the People's Republic of Bangladesh, 153 Pioneer Road, Seghunbaghicha, Dhaka, 1000, Bangladesh
| | - Abu Reza Md Towfiqul Islam
- Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh
- Department of Development Studies, Daffodil International University, Dhaka, 1216, Bangladesh
| | - Memet Varol
- Agriculture Faculty, Department of Aquaculture, Malatya Turgut Özal University, Malatya, Turkey.
| | - Khamphe Phoungthong
- Industrial Ecology in Energy Research Center, Faculty of Environmental Management, 10 Prince of Songkla University, Songkhla, 90112, Thailand
| | - Rahat Khan
- Institute of Nuclear Science and Technology, Bangladesh Atomic Energy Commission, Savar, Dhaka, 1349, Bangladesh
| | - Md Saiful Islam
- Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Md Hasanuzzaman
- Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh
| | - Md Yousuf Mia
- Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh
| | - Romulus Costache
- Department of Civil Engineering, Transilvania University of Brasov, 5, TurnuluiStr, 500152, Brasov, Romania
- Danube Delta National Institute for Research and Development, 165 Babadag Street, 820112, Tulcea, Romania
| | - Subodh Chandra Pal
- Department of Geography, The University of Burdwan, Bardhaman, West Bengal, 713104, India
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Li Y, Bai H, Li Y, Zhang X, Zhang L, Zhang D, Xu M, Zhang H, Lu P. An integrated approach to identify the source apportionment of potentially toxic metals in shale gas exploitation area soil, and the associated ecological and human health risks. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:132006. [PMID: 37453347 DOI: 10.1016/j.jhazmat.2023.132006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/07/2023] [Accepted: 07/04/2023] [Indexed: 07/18/2023]
Abstract
Public awareness of the potential environmental risks of shale gas extraction has increased in recent years. However, the status and environmental risks of potentially toxic metals (PTMs) in shale gas field soil remain unclear. A total of 96 topsoil samples were collected from the first shale gas exploitation area in China. The sources of nine PTMs in the soils were identified using positive matrix factorization and correlation analysis, and the ecological and human health risks of toxic metals from different sources under the two land use types were calculated. The results showed that mean pollution load index (PLI) values for farmland (1.18) and woodland (1.40) indicated moderate pollution, As, Cd and Ni were the most serious contaminants among all nine PTMs. The following four sources were identified: shale gas extraction activities (43.90%), nature sources (31.90%), agricultural and traffic activities (17.55%) and industrial activities (6.55%). For ecological risk, the mean ecological risk index (RI) values for farmlands (161.95) and woodlands (185.27) reaching considerable risk. The contribution ratio of shale gas extraction activities for farmlands and woodlands were 5.70% and 8.90%, respectively. Regarding human health risk, noncarcinogenic risks for adults in farmlands and woodlands were negligible. Industrial activities, agricultural and traffic activities were estimated to be the important sources of health risks. Overall, shale gas extraction activities had little impact on the ecological and human health risk. This study provides scientific evidence regarding the soil contamination potential of shale gas development activities.
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Affiliation(s)
- Yan Li
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China
| | - Hongcheng Bai
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China; School of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, Sichuan, China
| | - Yutong Li
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China; Chongqing Academy of Eco-environmental Science, Chongqing 401147, China
| | - Xin Zhang
- The Key Laboratory of GIS Application and Research, Chongqing Normal University, Chongqing 401331, China
| | - Lilan Zhang
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China
| | - Daijun Zhang
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China
| | - Min Xu
- Department of Environmental Science, College of Sichuan Agricultural University, Chengdu 611130, China
| | - Hong Zhang
- The Key Laboratory of GIS Application and Research, Chongqing Normal University, Chongqing 401331, China
| | - Peili Lu
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China.
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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.
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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
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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.
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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.
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18
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Wei R, Meng Z, Zerizghi T, Luo J, Guo Q. A comprehensive method of source apportionment and ecological risk assessment of soil heavy metals: A case study in Qingyuan city, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 882:163555. [PMID: 37080314 DOI: 10.1016/j.scitotenv.2023.163555] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/08/2023] [Accepted: 04/13/2023] [Indexed: 05/03/2023]
Abstract
The study combined multiple models to provide a deeper understanding to soil heavy metal contamination and source information, which are essential for controlling pollution and reducing human health risks. In this study, the agricultural soils were collected from the Qingyuan City of China as an example. The multiple models (APCS/MLR, PMF, and GDM) were used to identify and quantitatively apportion the main sources of heavy metal pollution in the area. The results showed that Cu (56.4 %), Ni (70.9 %), B (44.5 %), and Cr (72.8 %) were associated with natural sources, such as soil parent material and soil-forming processes. However, Pb (41.2 %), Zn (61.8 %), Hg (67.0 %), and Cd (69.6 %) were associated with agricultural activities, atmospheric deposition, vehicle exhaust emissions, and vehicle tires, while Mo, Se, and Mn were possibly derived from natural sources, including rock weathering and soil parent materials. Additionally, the network of environmental analysis revealed that soil microbes are far more sensitive to soil heavy metal pollution than herbivores, vegetation, and carnivores. This study can serve as a guideline for reducing the ecological and health risks associated with heavy metals in soil by controlling their preferential sources. Environmental implication Combining multiple models is more effective approach to wide understanding of heavy metal contamination and source information, which is essential for controlling pollution and reducing human health risks. Based on multiple models (APCS/MLR, PMF, and GDM) and network environ analysis, a comprehensive method for apportioning soil heavy metal sources and assessing ecological risk had been provided. Further, the present study can be a guideline for reducing ecological and health risks by heavy metals in soil by controlling preferential sources.
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Affiliation(s)
- Rongfei Wei
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Zirui Meng
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Teklit Zerizghi
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Jie Luo
- College of Resources and Environment, Yangtze University, Wuhan 430100, China
| | - Qingjun Guo
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
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19
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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: 6] [Impact Index Per Article: 6.0] [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.
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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
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20
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Wang J, Zheng Y, Li Y, Wang Y. Potential risks, source apportionment, and health risk assessment of dissolved heavy metals in Zhoushan fishing ground, China. MARINE POLLUTION BULLETIN 2023; 189:114751. [PMID: 36967682 DOI: 10.1016/j.marpolbul.2023.114751] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/09/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Dissolved heavy metal pollution in the ocean is one of the most severe environmental concerns; however, the potential sources of heavy metals and the resulting health risks are not fully understood. To explore the distribution characteristics, source apportionment, and health risks of dissolved heavy metals (As, Cd, Cu, Hg, Pb, and Zn) in the Zhoushan fishing ground, this study analyzed heavy metals in surface seawater during the wet and dry seasons. The concentrations of heavy metals varied greatly between seasons, and the mean concentration in the wet season was generally higher than that in the dry season. A positive matrix factorization model coupled with correlation analysis was applied to identify promising sources of heavy metals. Four potential sources (agricultural, industrial, traffic, atmospheric deposition, and natural sources) were identified as the determinants of the accumulation of heavy metals. The health risk assessment results revealed that non-carcinogenic risk (NCR) for adults and children were acceptable (HI < 1), and carcinogenic risk (CR) were at a low level (1 × 10-6 < TCR ≤ 1 × 10-4). The source-oriented risk assessment indicated that industrial and traffic sources were the main sources of pollution, contributing 40.7 % of NCR and 27.4 % of CR, respectively. This study proposes forming reasonable, effective policies to control industrial pollution and improve the ecological environment of Zhoushan fishing grounds.
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Affiliation(s)
- Jing Wang
- Fishery College, Zhejiang Ocean University, Zhoushan 316022, China
| | - Yijia Zheng
- Fishery College, Zhejiang Ocean University, Zhoushan 316022, China
| | - Yi Li
- Fishery College, Zhejiang Ocean University, Zhoushan 316022, China
| | - Yingbin Wang
- Fishery College, Zhejiang Ocean University, Zhoushan 316022, China.
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21
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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.
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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.
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22
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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.
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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.
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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.
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24
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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.
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25
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Wang F, Zhang Y, Wu T, Wu L, Shi G, An Y. The high-dimensional geographic dataset revealed significant differences in the migration ability of cadmium from various sources in paddy fields. Sci Rep 2023; 13:1589. [PMID: 36709230 PMCID: PMC9884224 DOI: 10.1038/s41598-023-28812-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/24/2023] [Indexed: 01/30/2023] Open
Abstract
Cadmium (Cd) contamination in paddy fields and its subsequent transfer in soil-rice systems are of particular concern. Significant discrepancies exist in the transfer process of Cd pollution sources from soil to rice. Here, we proposed a novel hybrid framework to reveal the priority of controlling Cd pollution sources in soil-rice systems, based on a high-dimensional geographical database. We further defined transfer potential (TP) to describe the ability of Cd from soil to rice (TPr = Cdr/Cds) and activated status (TPa = Cda/Cds), respectively, to reveal the priority sources of Cd pollution at the regional scale. The mining source has both high levels of TPr and TPa, which should be a controlled priority. Followed by traffic sources with a higher value of TPr, showing the risk to rice rather than the soil. The activated and enriched capacities of soil Cd are unequal in different sources that we attribute to the disparities of Cd transport in soil-rice systems. Cd contamination shows a significant spatial heterogeneity due to the difference in its transport performance. Our findings provide support for designing site-specific and pollution-targeted control priorities for suitable Cd pollution mitigation strategies at the regional scale.
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Affiliation(s)
- Feng Wang
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Yanqiu Zhang
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China
- College of Resource and Environment, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ting Wu
- State Key Laboratory on Odor Pollution Control, Tianjin Academy of Eco-Environmental Sciences, Tianjin, 300191, China
| | - Lina Wu
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China
| | - Guoliang Shi
- College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Yi An
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China.
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26
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Liu Z, Du Q, Guan Q, Luo H, Shan Y, Shao W. A Monte Carlo simulation-based health risk assessment of heavy metals in soils of an oasis agricultural region in northwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159543. [PMID: 36272483 DOI: 10.1016/j.scitotenv.2022.159543] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 08/10/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
In recent years, heavy metal contamination of soils has been increasing, posing a major threat to food security, human health, and soil ecosystems. This study analyzed the spatial characteristics, contamination sources, risks of heavy metals by collecting topsoil samples from farmland in an oasis agricultural region in northwest China. The results found that soil heavy metals in farmland were at a moderate contamination level. The PMF model classifies soil heavy metals as fertilizer and pesticide sources dominated by As and Mn with 27.8 %, mixed sources of transport and agricultural sources dominated by Cu, Zn, Cd and Pb with 26.9 %, metal processing sources dominated by Cr and Ni with 22.6 %, and the combined pollution sources of Ti, V, Cr, Mn, Fe, As, Pb dominated by natural sources and fuel combustion. The noncarcinogenic and carcinogenic risks values from the ingestion route were higher for children than for adults. The non-carcinogenic risk of heavy metals to adults in the southwestern and central regions of the study area was >1 × 10-4. The carcinogenic risk was >1 in all adults, but >1 in children in the central and southwestern study areas. Monte Carlo simulation takes into account the parameters and their distributions that affect the health risk assessment model by combining the uncertainty assessment with the health risk, which will reduce the uncertainty of the health risk assessment. The results showed that conventional deterministic risk assessment may overestimate health risk outcomes. In addition, As has a 1.85 % probability of non-carcinogenic risk to children, and an 85.3 % probability of total non-carcinogenic risk for children for all heavy metals. 69.5 % and 11.4 % probability of carcinogenic risk for children and adults respectively for Ni, and 96.4 % and 52.1 % probability of total carcinogenic risk, suggesting that Ni is a priority control heavy metal.
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Affiliation(s)
- Zhan Liu
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Qinqin Du
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Qingyu Guan
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
| | - Haiping Luo
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yuxin Shan
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Wenyan Shao
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
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27
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Wu Y, Song S, Chen X, Shi Y, Cui H, Liu Y, Yang S. Source-specific ecological risks and critical source identification of PPCPs in surface water: Comparing urban and rural areas. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158792. [PMID: 36113789 DOI: 10.1016/j.scitotenv.2022.158792] [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: 07/27/2022] [Revised: 09/08/2022] [Accepted: 09/11/2022] [Indexed: 06/15/2023]
Abstract
To control the concentrations of pharmaceutical and personal care products (PPCPs) in the surface water of urban and rural areas, it is important to explore the spatial variation in source-specific ecological risks and identify critical sources. Here, we focused on 22 PPCPs found in the effluent from wastewater treatment plants and surface water in Tianjin, and source-specific risk was quantitatively apportioned combining positive matrix factorization with ecological risk assessment. Results showed that rural areas exhibited a more severe contamination level than urban areas. Medical wastewater (30.1 %) accounted for the highest proportion, while domestic sewage posed the greatest threat to aquatic ecosystems. The incidence of potential risks (RQ > 0.01) caused by domestic sewage in urban areas (88.9 %) was higher than that in rural areas (75.9 %). However, PPCP risks caused by farmland drainage, aquaculture, and livestock discharge were mainly distributed in rural areas. The critical source identified in the entire region was domestic sewage (weight, 0.36), and its weight (0.51) in urban areas was greater than that in rural areas (0.32). The impact of aquaculture (weight, 0.16) in rural areas was noteworthy. These findings may contribute to developing environmental management strategies in key areas to help alleviate PPCP contamination worldwide.
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Affiliation(s)
- Yanqi Wu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; School of Civil Engineering and Architecture, Guangxi University, Nanning City, Guangxi 530004, China
| | - Shuai Song
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xinchuang Chen
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China
| | - Yajuan Shi
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haotian Cui
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Liu
- School of Civil Engineering and Architecture, Guangxi University, Nanning City, Guangxi 530004, China
| | - Shengjie Yang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China
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28
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Jin J, Zhao X, Zhang L, Hu Y, Zhao J, Tian J, Ren J, Lin K, Cui C. Heavy metals in daily meals and food ingredients in the Yangtze River Delta and their probabilistic health risk assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158713. [PMID: 36113791 DOI: 10.1016/j.scitotenv.2022.158713] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Abstract
Heavy metal exposure via food consumption is inadequately investigated and deserves considerable attention. We collected hundreds of food ingredients and daily meals and assessed their probabilistic health risk using a Monte Carlo simulation based on an ingestion rate investigation. The detected concentrations of four heavy metals (Cr, Cd, Pb, and Hg) in all daily meal samples were within the limits stipulated in the National Food Safety Standard (GB 2762-2017), while that for As level was excessive in 0.3 % of daily meal samples. The same results were also observed in most food ingredient samples, and a standard-exceeding ratio of 23 % of As was observed in aquatic food or products, especially seafood, which was with the highest concentration reaching 1.24 mg/kg. Combining the detected heavy metal amounts with the ingestion rate investigation, the hazard quotients (HQs) of As, Cr, Cd, Pb, and Hg in daily meals and food ingredients were all calculated as lower than 1 (no obvious harm), while the incremental lifetime cancer risk (ILCR) of As and Cr (>1 × 10-4), indicating that the residual As posed potential health effects to human health. It was noteworthy that the proportion of aquatic foods only accounted for 6.3 % of daily meals, but they occupied 41.1 % of the heavy metal exposure, which could be attributed to the high amounts of heavy metals in aquatic foods. This study not only provided basic data of heavy metal exposure and potential health risks through daily oral dietary intake, but also illuminated the contribution of different kinds of food ingredients. Specifically, the study highlighted the contamination of aquatic foods with As, especially seafood such as shellfish and bivalves.
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Affiliation(s)
- Jialu Jin
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Xiuge Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Lei Zhang
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Yaru Hu
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Jianfeng Zhao
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Junjie Tian
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Jing Ren
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Kuangfei Lin
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Changzheng Cui
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.
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29
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Zhang D, Lei M, Wan X, Guo G, Zhao X, Liu Y. Responses of diversity and arsenic-transforming functional genes of soil microorganisms to arsenic hyperaccumulator (Pteris vittata L.)/pomegranate (Punica granatum L.) intercropping. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 850:157767. [PMID: 35926620 DOI: 10.1016/j.scitotenv.2022.157767] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/28/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
Intercropping of arsenic (As) hyperaccumulator (Pteris vittata L.) with crops can reduce the As concentration in soil and the resulting ecological and health risks, while maintaining certain economic benefits. However, it is still unclear how As-transforming functional bacteria and dominant bacteria in the rhizosphere of P. vittata affect the microbial properties of crop rhizosphere soil, as well as how As concentration and speciation change in crop rhizosphere soil under intercropping. This is of great significance for understanding the biogeochemical cycle of As in soil and crops. This study aimed to use high-throughput sequencing and quantitative polymerase chain reaction (qPCR) to analyze the effects of different rhizosphere isolation patterns on the bacterial diversity and the copy number of As-transforming functional genes in pomegranate (Punica granatum L.) rhizosphere soil. The results showed that the abundance of bacteria in the rhizosphere soil of pomegranate increased by 16.3 %, and the soil bacterial community structure significantly changed. C_Alphaproteobacteria and o_Rhizobiales bacteria significantly accumulated in the rhizosphere of pomegranate. The copy number of As methylation (arsM) gene in pomegranate rhizosphere soil significantly increased by 63.37 %. The concentrations of nonspecifically sorbed As (F1), As associated with amorphous Fe (hydr)oxides (F3), and the total As (FT) decreased; the proportion of As (III) in pomegranate rhizosphere soil decreased; and the proportion of As (V) increased in pomegranate rhizosphere soil. c_Alphaproteobacteria and o_Rhizobiales accumulated in crop rhizosphere soil under the intercropping of P. vittata with crops. Also, the copy number of As methylation functional genes in crop rhizosphere soil significantly increased, which could reduce As (III) proportion in crop rhizosphere soil. These changes favored simultaneous agricultural production and soil remediation. The results provided the theoretical basis and practical guidance for the safe utilization of As-contaminated soil in the intercropping of As-hyperaccumulator and cash crops.
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Affiliation(s)
- Degang Zhang
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; HongHe University, Mengzi 661100, Yunnan, China
| | - Mei Lei
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xiaoming Wan
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guanghui Guo
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaofeng Zhao
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanhong Liu
- HongHe University, Mengzi 661100, Yunnan, China
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Tang F, Li Z, Zhao Y, Sun J, Sun J, Liu Z, Xiao T, Cui J. Geochemical Contamination, Speciation, and Bioaccessibility of Trace Metals in Road Dust of a Megacity (Guangzhou) in Southern China: Implications for Human Health. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15942. [PMID: 36498014 PMCID: PMC9736075 DOI: 10.3390/ijerph192315942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/27/2022] [Accepted: 11/27/2022] [Indexed: 05/11/2023]
Abstract
Road dust has been severely contaminated by trace metals and has become a major health risk to urban residents. However, there is a lack of information on bioaccessible trace metals in road dust, which is necessary for an accurate health risk assessment. In this study, we collected road dust samples from industrial areas, traffic intersections, and agricultural fields from a megacity (Guangzhou), China, and conducted a geochemical enrichment, speciation, and bioaccessibility-based health risk assessment of trace metals. In comparison with local soil background values, the results revealed a significant accumulation of trace metals, including Zn, Cd, Cu, and Pb in the road dust, which is considered moderate to heavy pollution. Sequential extraction indicated that most trace metals in the road dust were primarily composed of a Fe/Mn oxide-bound fraction, carbonate-bound fraction, and residual fraction, while the dominant fraction was the organic matter-bound fraction of Cu, and the residual fractions of As, Cr, and Ni. The in vitro gastrointestinal (IVG) method revealed that high percentages of Zn, Cd, Cu, and As were bioaccessible, suggesting the possible dissolution of trace metals from adsorbed and carbonate-associated fractions in road dust exposed to the biological fluid matrix. The IVG bioaccessibility-based concentration largely decreased the noncarcinogenic health risk to a negligible level. Nevertheless, the entire population is still exposed to the cumulative probability of a carcinogenic risk, which is primarily contributed to by As, Cd, Cr, and Pb. Future identification of the exact sources of these toxic metals would be helpful for the appropriate management of urban road dust contamination.
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Affiliation(s)
- Fei Tang
- Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control, School of Environmental Science and Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
| | - Zhi Li
- Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China
| | - Yanping Zhao
- Guangdong Provincial Key Laboratory of Chemical Measurement and Emergency Test Technology, Institute of Analysis, China National Analytical Center, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Jia Sun
- Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China
| | - Jianteng Sun
- Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control, School of Environmental Science and Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
| | - Zhenghui Liu
- Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control, School of Environmental Science and Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
| | - Tangfu Xiao
- Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China
| | - Jinli Cui
- Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control, School of Environmental Science and Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
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31
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Tepanosyan G, Pipoyan D, Beglaryan M, Sahakyan L. Compositional features of Pb in agricultural soils and geochemical associations conditioning Pb contents in plants. CHEMOSPHERE 2022; 306:135492. [PMID: 35760136 DOI: 10.1016/j.chemosphere.2022.135492] [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: 04/19/2022] [Revised: 05/24/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Soil geochemical data is compositional. Hence the studies targeting the potential of accumulation of toxic elements (TE) in plants have to consider the compositional nature of soil chemical environment. In this study, the combined application of compositional data analysis and geospatial mapping was used to investigate Pb geochemical associations in agricultural soils, revealing the link between these associations and Pb contents in plants, as well as identifying source-specific transfer of Pb from soil to plants. The obtained results showed that soil chemical composition was conditioned by the geological peculiarities of the study area and the potential sources of chemical elements' release. Particularly, k-means clustering and CoDa-biplot allows to identify three distinct subsamples and the application of HCA showed that both Pb soil and plants contents were in the same cluster in all subsamples. However, the geochemical association of elements in subsamples I and III suggested that Pb contents in plants were conditioned by the geochemical behaviors of carbonates whereas in subsample II Pb plant contents were presented in a geochemical association (K, Rb, Pb, and Zn) typical for both fertilizers and the potassium feldspar. The transfer factor (TF) for the comparatively higher values is observed for the subsample linked to K, Rb, Pb, and Zn geochemical association. At the same time, the negative influence of carbonates on the Pb availability in the plants was evidenced. The results of this study can serve as a good example for other investigations targeting the role of soil chemical elements compositional features in elements transfer to plant.
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Affiliation(s)
- Gevorg Tepanosyan
- Center for Ecological-Noosphere Studies of NAS RA, Abovyan 68, 0025, Yerevan, Armenia.
| | - Davit Pipoyan
- Center for Ecological-Noosphere Studies of NAS RA, Abovyan 68, 0025, Yerevan, Armenia
| | - Meline Beglaryan
- Center for Ecological-Noosphere Studies of NAS RA, Abovyan 68, 0025, Yerevan, Armenia
| | - Lilit Sahakyan
- Center for Ecological-Noosphere Studies of NAS RA, Abovyan 68, 0025, Yerevan, Armenia
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32
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Chen H, Wu W, Cao L, Zhou X, Guo R, Nie L, Shang W. Source Analysis and Contamination Assessment of Potentially Toxic Element in Soil of Small Watershed in Mountainous Area of Southern Henan, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192013324. [PMID: 36293901 PMCID: PMC9602646 DOI: 10.3390/ijerph192013324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/23/2022] [Accepted: 09/30/2022] [Indexed: 06/01/2023]
Abstract
In this study, the concentrations of potentially toxic elements in 283 topsoil samples were determined. Håkanson toxicity response coefficient modified matter element extension model was introduced to evaluate the soil elements contamination, and the results were compared with the pollution index method. The sources and spatial distribution of soil elements were analyzed by the combination of the PMF model and IDW interpolation. The results are as follows, 1: The concentration distribution of potentially toxic elements is different in space. Higher concentrations were found in the vicinity of the mining area and farmland. 2: The weight of all elements has changed significantly. The evaluation result of the matter-element extension model shows that 68.55% of the topsoil in the study area is clean soil, and Hg is the main contamination element. The evaluation result is roughly the same as that of the pollution index method, indicating that the evaluation result of the matter-element extension model with modified is accurate and reasonable. 3: Potentially toxic elements mainly come from the mixed sources of atmospheric sedimentation and agricultural activities (22.59%), the mixed sources of agricultural activities and mining (20.26%), the mixed sources of traffic activities, nature and mining (36.30%), the mixed sources of pesticide use and soil parent material (20.85%).
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Affiliation(s)
- Hang Chen
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
| | - Wei Wu
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
| | - Li Cao
- Binhai College, Nankai University, Tianjin 300000, China
| | - Xiaode Zhou
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
| | - Rentai Guo
- School of Water Resources and Environment, Chang’an University, Xi’an 710048, China
| | - Liwei Nie
- School of Water Resources and Environment, Chang’an University, Xi’an 710048, China
| | - Wenxing Shang
- School of Water Resources and Environment, Chang’an University, Xi’an 710048, China
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33
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Xu J, Wang M, Zhong T, Zhao Z, Lu Y, Zhao X, Cai X. Insights into site-specific influences of emission sources on accumulation of heavy metal(loid)s in soils by wheat grains. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73131-73146. [PMID: 35622279 DOI: 10.1007/s11356-022-21022-2] [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: 02/10/2022] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
Excessive accumulation of heavy metal(loid)s in agricultural environment usually originates from anthropogenic activities. Both large diversities of emission sources and complexity of plant accumulation challenge the understanding of the site-specific effects of emission sources on heavy metal(loid)s in wheat grains. Herein, both soil samples and wheat grain samples (n = 80) were collected from the farmland of Jiyuan City, China. Soil and grain burdens of heavy metal(loid)s were determined by inductively coupled plasma mass spectrometry (ICP-MS) and/or X-ray fluorescence spectrometry (XRF). The quotients (Q) were developed to indicate relative impacts of industrial plants and traffic to soil sites. Principal component analysis-absolute principal component scores-multivariate linear regression (PCA-APCS-MLR) analysis was conducted to reveal the source contributions to heavy metal(loid)s in grains, considering Q values, soil, and wheat grain data. Results showed that contributions of main sources and factors drastically varied with soil sites, and usually overlapped to different extents. For grain Cd and grain Pb, natural soil silicate (0.066/0.104 mg/kg) and iron-bearing minerals (- 0.044/ - 0.174 mg/kg) contributed to high extents, while metal smelting activities (0.018/0.019 mg/kg) and agronomic activities (- 0.017/ - 0.019 mg/kg) unexpectedly posed low or moderate contributions. The pH-mediated availability of soil Cd (0.035 mg/kg) and the sand-dust weather (0.028 mg/kg) also made considerable contributions to grain Cd. For grain As, both natural soil iron-bearing (- 0.048 mg/kg) and silicate minerals (- 0.013 mg/kg) made negative contributions. The results benefit to the decision-making of pollution remediation of farmland soils in the regional scales.
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Affiliation(s)
- Jiahui Xu
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, China
| | - Maolin Wang
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, China
| | - Tianxiang Zhong
- CECEP DADI Environmental Remediation Co., Ltd, Beijing, 100089, China
| | - Zongsheng Zhao
- Key Laboratory of Heavy-Metal Pollution Monitoring and Remediation of Henan Province, Jiyuan, 459000, China
| | - Yifu Lu
- Key Laboratory of Heavy-Metal Pollution Monitoring and Remediation of Henan Province, Jiyuan, 459000, China
| | - Xiaoxue Zhao
- Key Laboratory of Heavy-Metal Pollution Monitoring and Remediation of Henan Province, Jiyuan, 459000, China
| | - Xiyun Cai
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, China.
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34
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Men C, Liu R, Wang Y, Cao L, Jiao L, Li L, Wang Y. Impact of particle sizes on health risks and source-specific health risks for heavy metals in road dust. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:75471-75486. [PMID: 35655016 DOI: 10.1007/s11356-022-21060-w] [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: 01/10/2022] [Accepted: 05/20/2022] [Indexed: 06/15/2023]
Abstract
To analyze the impact of particle sizes on sources and related health risks for heavy metals, road dust samples in Beijing were collected and sifted into five particle sizes. The positive matrix factorization (PMF), human health risk assessment model (HHRA), and Monte Carlo simulation were used in the health risk assessment and source apportionment. Results showed that mass of particles < 74 μm occupied about 50% of the total particles, while only 8.48% of the particles were > 500 μm. Mass distribution and concentrations of heavy metals in each particle size changed in temporal. Over 85.00% of carcinogenic risks (CR) were from particles <74 μm, whereas CR from particles >250 μm were ignorable. Sources for health risks in each particle size were traffic exhaust, fuel combustion, construction, and use of pesticides and fertilizers. Proportions of sources to CR differed among particle sizes. Traffic exhaust and fuel combustion contributed over 90% to CR in particles <74 μm, whereas construction contributed the highest (31.68-54.14%) among all sources in particles 74-250 μm. Furthermore, the difference between health risks based on sifted road dust and that based on unsifted road dust was quantitatively analyzed. Source-specific health risk apportionment based on unsifted road dust was not presentative to all particle sizes, and true value of health risks could be over 2.5 times of the estimated value based on unsifted road dust, emphasized the importance of sifting of road dust.
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Affiliation(s)
- Cong Men
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China.
| | - Yifan Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Leiping Cao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Lijun Jiao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Lin Li
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Yue Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
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35
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Yang Y, Zhang H, Qiu S, Sooranna SR, Deng X, Qu X, Yin W, Chen Q, Niu B. Risk assessment and early warning of the presence of heavy metal pollution in strawberries. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 243:114001. [PMID: 36027710 DOI: 10.1016/j.ecoenv.2022.114001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/13/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
Heavy metal pollution is a major threat to agricultural produce and it can pose potential ecological risks which subsequently impacts on human health. Strawberries are an economically important produce of China. The intrinsic link of heavy metal pollution risk in the soil-strawberry ecosystem is of concern. In this study, the pollution index of heavy metal pollutants in farmlands of different provinces were evaluated, and the results showed significantly high levels of cadmium. In addition, Nemerow integrated pollution index analysis showed that low-pollution farmlands only accounted for 14.07% of the total arable land area. Then, the transfer factors were used to calculate the migration of heavy metals from the soil into strawberries. The results showed that cadmium and nickel were relatively high in strawberries from the Guangxi province. Similar results were found for mercury in Jiangxi Province. The pollution index of single food pollution also showed that mercury in strawberries from Jiangxi Province was at a moderate pollution level. The comprehensive pollution index indicated that heavy metal pollution in strawberries in Central China may be severe. In addition, spatial clustering analysis showed that cadmium, chromium, lead, arsenic and zinc in strawberries had significant hotspot clustering in central, south and southwest China. Finally, our studies also suggested that the risk of carcinogenic and non-carcinogenic diseases was higher in the (2, 4] years age group than in other age groups. People in Yunnan Province were also found to have a higher non-carcinogenic risk than those in other provinces and cities in China. This study provides a comprehensive view of the potential risks of heavy metal contamination in strawberries, which could provide assistance in the design of regulatory and risk management programs for chemical pollutants in strawberries, thus ensuring the safety of consumption of these edible fruits.
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Affiliation(s)
- Yunfeng Yang
- School of life Science, Shanghai University, 99 Shangda Road, Shanghai 200444, PR China
| | - Hui Zhang
- School of life Science, Shanghai University, 99 Shangda Road, Shanghai 200444, PR China
| | - Songyin Qiu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Suren Rao Sooranna
- Department of Metabolism, Digestion and Reproduction, Imperial College London, 369 Fulham Road, London SW10 9NH, United Kingdom
| | - Xiaojun Deng
- Technical Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Customs, Shanghai 200135, PR China
| | - Xiaosheng Qu
- National Engineering laboratory of Southwest Endangered Medicinal Resources Development, Guangxi Botanical Garden of Medicinal, Nanning, PR China
| | - Wenyu Yin
- School of Materials Engineering, Jiangsu Key Laboratory of Advanced Functional Materials, Changshu Institute of Technology, Changshu 215500, Jiangsu, PR China.
| | - Qin Chen
- School of life Science, Shanghai University, 99 Shangda Road, Shanghai 200444, PR China.
| | - Bing Niu
- School of life Science, Shanghai University, 99 Shangda Road, Shanghai 200444, PR China.
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36
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Sun J, Zhao M, Cai B, Song X, Tang R, Huang X, Huang H, Huang J, Fan Z. Risk assessment and driving factors of trace metal(loid)s in soils of China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 309:119772. [PMID: 35843449 DOI: 10.1016/j.envpol.2022.119772] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/29/2022] [Accepted: 07/09/2022] [Indexed: 05/16/2023]
Abstract
Recently, with the rapid development of China's economy, the pollution of trace metal(loid)s (TMs) in soils has become increasingly severe and attracted widespread attention. Based on 1,402 published papers from 2000 to 2021, this study aimed to analyze the pollution intensity, ecological risk and driving factors for eight TMs (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) in Chinese soils. Results showed that the average concentrations of eight TMs in Chinese soils all exceeded background values, and the pollution of Cd and Hg was the most serious. Based on Principal component analysis of pollution intensity and ecological risk, the priority control TMs were identified for the heavily polluted provinces. The results of Geo-detector model suggested that Urban development factors contributed most to the TM accumulation in Chinese soils. Further, spatial analysis using bivariate Moran's I indicated that industrial activities contributed most to soil TM accumulation in the middle and lower reaches of the Yangtze River, while soil TM pollution in the southwest and northwest provinces was mainly caused by mining and metal smelting. This study investigated the relationship between soil TM pollution and anthropogenic activities, thus providing a scientific basis for controlling soil TM pollution at a large-scale level.
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Affiliation(s)
- Jiaxun Sun
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Menglu Zhao
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Boya Cai
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Xiaoyong Song
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Rui Tang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Xinmiao Huang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Honghui Huang
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, China; Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, 510300, China
| | - Jian Huang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Zhengqiu Fan
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China.
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37
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Huang G, Wang X, Chen D, Wang Y, Zhu S, Zhang T, Liao L, Tian Z, Wei N. A hybrid data-driven framework for diagnosing contributing factors for soil heavy metal contaminations using machine learning and spatial clustering analysis. JOURNAL OF HAZARDOUS MATERIALS 2022; 437:129324. [PMID: 35714539 DOI: 10.1016/j.jhazmat.2022.129324] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/28/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
The efficacy of source apportionment is often limited by a lack of information on natural and anthropogenic contributing factors influencing soil heavy metal (HM) contaminations. To overcome this limitation and develop the data mining methods, a novel hybrid data-driven framework was proposed to diagnose the contributing factors in an industrialized region in Guangdong Province, China, mainly using a combination of naive Bayes (NB), random forest (RF), and bivariate local Moran's I (BLMI) on the basis of the multi-source big data. The medium industry types of enterprises from the freely available Baidu point of interest data were successfully classified, and then the 250 contaminating enterprises as a contributing factor were identified by the optimized NB classifier. The quantitative contributions of the nine contributing factors for the As, Cd, and Hg concentrations were determined by the optimized RF. The twelve spatial clustering maps between the three HM concentrations and the four key contributing factors were generated by BLMI, explicitly revealing their mutual interactions and internal effects and also intuitively showing the "high-high" areas and their distributions. This framework can obtain rich information on contributing factors such as medium industry types, contribution rates, spatial clusters, and spatial distributions.
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Affiliation(s)
- Guoxin Huang
- Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Xiahui Wang
- Chinese Academy of Environmental Planning, Beijing 100012, China.
| | - Di Chen
- Chinese Academy of Environmental Planning, Beijing 100012, China; China University of Geosciences (Beijing), Beijing 100083, China
| | - Yipeng Wang
- Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Shouxin Zhu
- Wuhan Surveying-Geotechnical Research Institute Co., Ltd., MCC, Wuhan 430080, China
| | - Tao Zhang
- Chinese Academy of Environmental Planning, Beijing 100012, China; China University of Geosciences (Beijing), Beijing 100083, China
| | - Lei Liao
- Research Institute No. 290, CNNC, Shaoguan 512029, China
| | - Zi Tian
- Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Nan Wei
- Chinese Academy of Environmental Planning, Beijing 100012, China
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38
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Jiang J, Wang Z, Kong X, Chen Y, Li J. Exogenous tryptophan application improves cadmium tolerance and inhibits cadmium upward transport in broccoli ( Brassica oleracea var. italica). FRONTIERS IN PLANT SCIENCE 2022; 13:969675. [PMID: 36035682 PMCID: PMC9403758 DOI: 10.3389/fpls.2022.969675] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
Cadmium (Cd) pollution not only reduces crop yields, but also threatens human health and food safety. It is of great significance for agricultural production to improve plant Cd resistance and reduce Cd accumulation. In Arabidopsis, tryptophan (Trp) has been found to play a role in Cd resistance. However, studies on the role of exogenous Trp on Cd tolerance in crops are limited. Here, we report that exogenous Trp application can effectively alleviate biomass decline induced by Cd stress and inhibit Cd transport from roots to shoots in Brassica oleracea var. italica (broccoli). Compared to Cd stress alone, the fresh weight of shoots and roots of B. oleracea seedlings treated with Cd and Trp increased by 25 and 120%, respectively, and the Cd content in shoots decreased by 51.6%. In combination with physiological indices and transcriptome analysis, we preliminarily explored the mechanism of Trp alleviating Cd stress and affecting Cd transport. Trp inhibited Cd-induced indole-3-acetic acid (IAA) conjugation, thereby providing enough free IAA to sustain growth under Cd stress; Trp inhibited the indolic glucosinolate (IGS) biosynthesis induced by Cd. Considering that the synthesis of IGS consumes glutathione (GSH) as a sulfur donor, the inhibition of Trp in IGS synthesis may be conducive to maintaining a high GSH content to be against Cd stress. Consistent with this, we found that GSH content under Cd stress with Trp application was higher than that of Cd alone. In addition to alleviating the damage caused by Cd, Trp can also inhibit the upward transport of Cd from roots to shoots, possibly by repressing the expression of HMA4, which encodes a transporter responsible for the xylem loading and Cd upward transport.
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Affiliation(s)
- Jia Jiang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Ze Wang
- College of Life Sciences, Northeast Agricultural University, Harbin, China
| | - Xiangzhou Kong
- College of Life Sciences, Northeast Agricultural University, Harbin, China
| | - Yajun Chen
- College of Horticulture, Northeast Agricultural University, Harbin, China
| | - Jing Li
- College of Life Sciences, Northeast Agricultural University, Harbin, China
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Guo G, Li K, Zhang D, Lei M. Quantitative source apportionment and associated driving factor identification for soil potential toxicity elements via combining receptor models, SOM, and geo-detector method. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 830:154721. [PMID: 35341851 DOI: 10.1016/j.scitotenv.2022.154721] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/15/2022] [Accepted: 03/17/2022] [Indexed: 05/15/2023]
Abstract
Quantitative source apportionment of soil potential toxicity elements (PTEs) and associated driving factor identification are critical for prevention and control of soil PTEs. In this study, 421 soil samples from a typical area in southeastern Yunnan Province of China were collected to evaluate the pollution level of soil PTE using pollution factors, pollution load index, and enrichment factors. Positive matrix factorization (PMF), absolute principal component score/multiple line regression (APCS/MLR), edge analysis (UNMIX) and self-organizing map (SOM) were applied for source apportionment of soil PTEs. The geo-detector method (GDM) was used to identify the driving factor to PTE pollution sources, which assisted in source interpretation derived from receptor models. The results showed that the geometric mean of As, Cd, Cu, Cr, Ni, Pb, and Zn were 94.94, 1.02, 108.6, 75.40, 57.14, 160.2, and 200.3 mg/kg, which were significantly higher than their corresponding background values (P < 0.00). Particularly, As and Cd were 8.71 and 12.75 times higher than their corresponding background values, respectively. SOM yielded four clusters of soil PTEs: AsCd, PbZn, CrNi, and Cu. APCS/MLR was regarded as the preferred receptor model for source apportionment of soil PTEs due to its optimal performance. The results of ACPS/MLR revealed that 36.64% of Pb and 38.30% of Zn were related to traffic emissions, Cr (92.64%) and Ni (82.51%) to natural sources, As (85.83%) and Cd (87.04%) to industrial discharge, and Cu (42.78%) to agricultural activities. Distance to road, lithology, distance to industries, and land utilization were the respective major driving factor influencing these four sources, with the q values of 0.1213, 0.1032, 0.2295 and 0.1137, respectively. Additionally, GDM revealed that nonlinear interactions between anthropogenic and natural factors influencing PTEs sources. Based on these results, comprehensive prevention and control strategies should be considered for pollution prevention and risk controlling.
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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.
| | - Kai Li
- 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
| | - Mei Lei
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
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40
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Li K, Wang J, Zhang Y. Heavy metal pollution risk of cultivated land from industrial production in China: Spatial pattern and its enlightenment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 828:154382. [PMID: 35278565 DOI: 10.1016/j.scitotenv.2022.154382] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
Industrial production is the main source of heavy metals for cultivated land in China as it has been the world's factory. However, owing to there being insufficient data and appropriate methods, it is difficult to rank the risk level and identify spatial patterns of heavy metal pollution in cultivated land. This study developed an innovative methodology for relative regional risk assessment based on the risk theory of source-pathway-receptor, and the heavy metal pollution risks of cultivated land were appraised on a national scale. The results showed that: (i) the cultivated land with high, medium, and low risk of heavy metal pollution accounted for 4.23%, 10.01%, and 4.53% in China; (ii) the heavy metal pollution risk level of cultivated land increased gradually from the northwest to the southeast of China, and the risk in the north was more serious than that in the south; (iii) the aggregated distribution areas of high-risk regions in China were the Yangtze River Delta, the Pearl River Delta, the Tianjin coastal area, the Sichuan-Chongqing economic zone, central-southern Hunan, central Hebei, and the Yellow River coast of Henan; and (iv) China's prevention and control policies effectively curbed heavy metal pollution in cultivated land, the pollution risks have declined significantly. It is suggested that different protection and control strategies should be upgraded and implemented according to different risk modes.
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Affiliation(s)
- Kai Li
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jieyong Wang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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41
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Tian K, Li M, Hu W, Fan Y, Huang B, Zhao Y. Environmental capacity of heavy metals in intensive agricultural soils: Insights from geochemical baselines and source apportionment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 819:153078. [PMID: 35038540 DOI: 10.1016/j.scitotenv.2022.153078] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/08/2022] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
Soil environmental capacity (EC) of heavy metals (HMs) can be used as an index to evaluate the pollution status of HMs and to provide basic data for HM remediation. However, the commonly used soil EC for HMs usually are prone to bias due to the lack of local background values (BVs) and the consideration of the contribution from various HM sources. Here, a modified method was proposed to estimate the soil EC by integrating the establishment of local BVs and the quantitative evaluation of contributions from HM sources in an intensive agricultural area of Shouguang city, China. The local BVs of HMs were established using the relative cumulative frequency distribution method. The source-specific EC was quantified based on the local BVs and the contributions of HM sources identified by receptor model and variable importance analysis. Results showed that the average BV values of As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn were 7.67, 0.10, 62.84, 21.17, 0.031, 28.38, 19.25, and 59.60 mg kg-1, respectively, in the study area. The source-specific EC of Cd, Cu, Hg, and Zn were higher than their current EC, indicating an underestimation of soil capacity of HMs by the traditional method. The EC of HMs in these soils was generally medium indicated by their comprehensive EC index (PI) (PI >0.7), suggesting a low risk level of the targeted HMs. According to indexes such as the individual metal index (Pi) and enrichment factor (EF), special attention should be paid to Cd and Zn due to their low capacity (Pi <0.7) and high accumulation (EF > 2) in some points across this area. Altogether, our findings suggested that the modified method had a better capability for evaluating and predicting the enrichment status of soil HMs, which can be helpful for formulating the targeted measures to control HM pollution in such intensive agricultural areas.
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Affiliation(s)
- Kang Tian
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Ming Li
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing 210042, China
| | - Wenyou Hu
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Ya'nan Fan
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Biao Huang
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yongcun Zhao
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
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42
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Lei M, Li K, Guo G, Ju T. Source-specific health risks apportionment of soil potential toxicity elements combining multiple receptor models with Monte Carlo simulation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 817:152899. [PMID: 35026255 DOI: 10.1016/j.scitotenv.2021.152899] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/29/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Abstract
Understanding the source-specific human health risk of soil potential toxicity elements (PTEs) for human is beneficial for pollution control and risk prevention. Multivariate statistics, absolute principal component score/multiple linear regression (APCS/MLR) model, positive matrix factorization (PMF) model, and GIS mapping were used to identify and apportion the sources of soil PTEs in typical mining and industrial area, southwestern China. Furthermore, source-specific health risks were apportioned by combining source apportionment with probabilistic health risk assessment based on Monte Carlo simulation which can define the probability that the risk exceed the guideline threshold value. The pollution factor and geo-accumulation index indicated that the soils were polluted by soil PTEs to different degrees. In particular, As and Cd were the primary pollutants. Mixed sources, agricultural activities, mining activities, and As-related smelting activities represented the potential sources of soil PTEs, with the contribution of 30.13%, 25.78%, 22.93%, and 21.16%, respectively. Source-specific probabilistic health risks indicated that As-related smelting activities contributed the most to non-carcinogenic risks (adults: 59.03%, children: 57.20%) and carcinogenic risks (adults: 81.82%; children 92.33%), despite the observation that it contributed the least to the accumulation of soil PTEs (21.16%). Non-carcinogenic and carcinogenic risk showed similar trend for children and adults. Therefore, As-related smelting activities were regarded as the priority source of soil PTEs, and corresponding prevention and control strategies should be implemented to protect human health.
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Affiliation(s)
- Mei Lei
- 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
| | - Guanghui Guo
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Tienan Ju
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
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43
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Xian H, Dong X, Wang Y, Li Y, Xing J, Jeppesen E. Geochemical baseline establishment and pollution assessment of heavy metals in the largest coastal lagoon (Pinqing Lagoon) in China mainland. MARINE POLLUTION BULLETIN 2022; 177:113459. [PMID: 35245766 DOI: 10.1016/j.marpolbul.2022.113459] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/29/2022] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
Establishing geochemical baselines and assessment of heavy metal pollution in lagoon sediments are critical for providing guidance to coastal zone environmental management. We analyzed heavy metals in high-resolution sediment cores from Pinqing Lagoon in South China, and defined the baselines of common pollution elements with a significant anthropogenic contribution. With these baselines, a spatiotemporal pollution assessment revealed Cu and Cd as the predominant pollution metals in both core and surface sediments, although the ecological risk level in the interior lagoon remained low during the past ~170 years. Surface sediment pollution status indicate a significant spatial difference. The findings from this typical coastal lagoon evidence a strong self-clean capacity attributable to the frequent water-mass-energy exchange between the lagoon and the sea. Furthermore, despite the significant impact by the sea, the geochemical baselines are close to the catchment soil backgrounds that can be defined using a paleolimnological approach.
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Affiliation(s)
- Hanbiao Xian
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China; Centre for Climate and Environmental Changes, Guangzhou University, Guangzhou 510006, China
| | - Xuhui Dong
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China; Centre for Climate and Environmental Changes, Guangzhou University, Guangzhou 510006, China.
| | - Yu Wang
- Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China
| | - Yan Li
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China; Centre for Climate and Environmental Changes, Guangzhou University, Guangzhou 510006, China
| | - Jinhuai Xing
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
| | - Erik Jeppesen
- Department of Bioscience, Aarhus University, Silkeborg 8600, Denmark; Sino-Danish Centre for Education and Research (SDC), Beijing 100049, China; Limnology Laboratory, Department of Biological Sciences and Centre for Ecosystem Research and Implementation, Middle East Technical University, 60800 Ankara, Turkey; Institute of Marine Sciences, Middle East Technical University, Erdemli, Mersin 33731, Turkey
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44
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Lü Q, Xiao Q, Guo Y, Wang Y, Cai L, You W, Zheng X, Lin R. Pollution monitoring, risk assessment and target remediation of heavy metals in rice from a five-year investigation in Western Fujian region, China. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127551. [PMID: 34736193 DOI: 10.1016/j.jhazmat.2021.127551] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 10/13/2021] [Accepted: 10/16/2021] [Indexed: 06/13/2023]
Abstract
Recently, rice contamination by heavy metals (HMs) has become a severe problem. Taking the Western Fujian region as an example in this study, a total of 1311 rice samples containing eight HMs were collected from 2015 to 2019, then used to explore their pollution characteristics, health risks, and Spatio-temporal variations, finally derive the target remediation areas of the key pollutants. The results showed that average concentrations of all the HMs had not reached the limits of the National Standards of Food Safety, but pollution indexes of As (0.783) and Cu (0.665) were at accumulation level (>0.6), which posed high pollution risks. Furthermore, locations of higher HMs concentrations coincided with those of higher pollution estimation probabilities. The non-carcinogenic risk (4.150, 2.434) and carcinogenic risk (4.96 × 10-3, 2.92 × 10-3) for children and adults cannot be negligible, As and Cd were the largest contributors. Children were more susceptible than adults due to the metal concentrations and rice intake rate. The spatio-temporal changes indicated that a decreasing trend in average concentrations of HMs (except Cr), but As (0.37%-0.88%) contents increased in the west and northeast parts, and so did Cd (1.92%-5.11%) in the central region during monitoring. For the target remediation, particular regions in the western and eastern were used as risky areas of As and Cd, respectively. Our results will provide theoretical support for the pollution management of HMs in rice.
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Affiliation(s)
- Qixin Lü
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Qingtie Xiao
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China; Key Laboratory of Crop Ecology and Molecular Physiology of Fujian Province University, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yourui Guo
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yujie Wang
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Luxiang Cai
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Wu You
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China; Fujian Agricultural Ecological Environment and Energy Technology Extension Station, Fuzhou 350002, China
| | - Xinyu Zheng
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China; Key Laboratory of Crop Ecology and Molecular Physiology of Fujian Province University, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
| | - Ruiyu Lin
- Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China; Key Laboratory of Crop Ecology and Molecular Physiology of Fujian Province University, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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Shentu J, Li X, Han R, Chen Q, Shen D, Qi S. Effect of site hydrological conditions and soil aggregate sizes on the stabilization of heavy metals (Cu, Ni, Pb, Zn) by biochar. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 802:149949. [PMID: 34525744 DOI: 10.1016/j.scitotenv.2021.149949] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/23/2021] [Accepted: 08/23/2021] [Indexed: 06/13/2023]
Abstract
Biochar is a popular material that would effectively immobilize heavy metals in soil, which can greatly decrease the health risk of heavy metals. Although many previous studies have studied the immobilization of heavy metals by biochar, the influence of hydrological conditions on the immobilization effect is still not clear. This paper carried out column experiments to study the effect of fluctuating groundwater table on Cu, Ni, Pb, Zn distribution and speciation with the addition of biochar from pyrolysis of swine manure. Experimental results showed that biochar could significantly decrease the leaching toxicity of Cu and Ni by 24.4% and 44.7% respectively, while the immobilization effect of Pb and Zn was relatively insignificant. The average reduction percentage of bioavailable Cu was 14.5%, 39.5% and 33.3% in the unsaturated zone, fluctuating zone and saturated zone respectively, showing the better immobilization effect in the fluctuating zone and saturated zone. The residual fraction of heavy metals increased significantly after the addition of biochar, and the increase of residual fraction was larger in small soil aggregates. This study helped illustrate the influence of hydrological conditions and soil aggregate sizes on the stabilization effect of heavy metals by biochar, which could be used to guide the remediation process of sites contaminated by heavy metals.
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Affiliation(s)
- Jiali Shentu
- Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, Zhejiang Gongshang University, Hangzhou 310012, PR China; Instrumental Analysis Center of Zhejiang Gongshang University, Hangzhou 310012, PR China
| | - Xiaoxiao Li
- Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, Zhejiang Gongshang University, Hangzhou 310012, PR China
| | - Ruifang Han
- Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, Zhejiang Gongshang University, Hangzhou 310012, PR China
| | - Qianqian Chen
- Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, Zhejiang Gongshang University, Hangzhou 310012, PR China
| | - Dongsheng Shen
- Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, Zhejiang Gongshang University, Hangzhou 310012, PR China; Instrumental Analysis Center of Zhejiang Gongshang University, Hangzhou 310012, PR China
| | - Shengqi Qi
- Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, Zhejiang Gongshang University, Hangzhou 310012, PR China; Instrumental Analysis Center of Zhejiang Gongshang University, Hangzhou 310012, PR China.
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Yap CK, Chew W, Al-Mutairi KA, Nulit R, Ibrahim MH, Wong KW, Bakhtiari AR, Sharifinia M, Ismail MS, Leong WJ, Tan WS, Cheng WH, Okamura H, You CF, Al-Shami SA. Assessments of the Ecological and Health Risks of Potentially Toxic Metals in the Topsoils of Different Land Uses: A Case Study in Peninsular Malaysia. BIOLOGY 2021; 11:biology11010002. [PMID: 35053001 PMCID: PMC8772714 DOI: 10.3390/biology11010002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 09/28/2021] [Accepted: 09/30/2021] [Indexed: 01/17/2023]
Abstract
Simple Summary This study reported the ecological risks and human health risk assessments of five potentially toxic metals in the topsoils of six land uses in Peninsular Malaysia. It was found that industry, landfill, rubbish heap, and mining areas were categorized as “very high ecological risk”. The land uses of industry, landfill and rubbish heap were found to have higher hazard quotient values for the three pathways of the five metals for children and adults, when compared to the mining, plantation, and residential areas. The values for both the non-carcinogenic (Cd, Cu, Ni, and Zn), and carcinogenic risks for inhalation (Cd and Ni) obtained for children and adults in this study showed no harmful health effects on their health. However, of public concern, the hazard index, for Pb of children at the landfill and the rubbish heap showed non-carcinogenic risk for children. Therefore, children need to be taken care from public standpoint. They should be advised not to play in the topsoils near industry, landfill and rubbish heap areas. The present findings are important for the environmental management of potentially toxic metals especially in the land uses of industry, landfill and rubbish heap in Peninsular Malaysia. Abstract Human activities due to different land uses are being studied widely in many countries. This study aimed to determine the ecological risks and human health risk assessments (HHRA) of Cd, Pb, Ni, Cu, and Zn in the topsoils of six land uses in Peninsular Malaysia. The ranges of the potentially toxic metals (PTMs) in the soils (mg/kg, dry weight) of this study were 0.24–12.43 for Cd (mean: 1.94), 4.66–2363 for Cu (mean: 228), 2576–116,344 for Fe (mean: 32,618), 2.38–75.67 for Ni (mean: 16.04), 7.22–969 for Pb (mean: 115) and 11.03–3820 for Zn (mean: 512). For the ecological risk assessments, the potential ecological risk index (PERI) for single metals indicated that the severity of pollution of the five metals decreased in the following sequence: Cd > Cu > Pb > Zn > Ni. It was found that industry, landfill, rubbish heap, and mining areas were categorized as “very high ecological risk”. For HHRA, the land uses of industry, landfill and rubbish heap were found to have higher hazard quotient (HQ) values for the three pathways (with the order: ingestion > dermal contact > inhalation ingestion) of the five metals for children and adults, when compared to the mining, plantation, and residential areas. The values for both the non-carcinogenic (Cd, Cu, Ni, and Zn), and carcinogenic risks (CR) for inhalation (Cd and Ni) obtained for children and adults in this study showed no serious adverse health impacts on their health. However, of public concern, the hazard index (HI), for Pb of children at the landfill (L-3) and the rubbish heap (RH-3) sites exceeded 1.0, indicating non-carcinogenic risk (NCR) for children. Therefore, these PERI and HHRA results provided fundamental data for PTMs pollution mitigation and environmental management in areas of different land uses in Peninsular Malaysia.
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Affiliation(s)
- Chee Kong Yap
- Department of Biology, Faculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia; (W.C.); (R.N.); (M.H.I.); (K.W.W.)
- Correspondence: or
| | - Weiyun Chew
- Department of Biology, Faculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia; (W.C.); (R.N.); (M.H.I.); (K.W.W.)
| | - Khalid Awadh Al-Mutairi
- Department of Biology, Faculty of Science, University of Tabuk, Tabuk P.O. Box 741, Saudi Arabia;
| | - Rosimah Nulit
- Department of Biology, Faculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia; (W.C.); (R.N.); (M.H.I.); (K.W.W.)
| | - Mohd. Hafiz Ibrahim
- Department of Biology, Faculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia; (W.C.); (R.N.); (M.H.I.); (K.W.W.)
| | - Koe Wei Wong
- Department of Biology, Faculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia; (W.C.); (R.N.); (M.H.I.); (K.W.W.)
| | - Alireza Riyahi Bakhtiari
- Department of Environmental Sciences, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor 46417-76489, Iran;
| | - Moslem Sharifinia
- Shrimp Research Center, Iranian Fisheries Science Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Bushehr 75169-89177, Iran;
| | | | - Wah June Leong
- Department of Mathematics and Statistics, Faculty of Science, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia;
| | - Wen Siang Tan
- Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia;
- Laboratory of Vaccines and Biomolecules, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia
| | - Wan Hee Cheng
- Faculty of Health and Life Sciences, Inti International University, Persiaran Perdana BBN, Seremban 71800, Malaysia;
| | - Hideo Okamura
- Graduate School of Maritime Sciences, Faculty of Maritime Sciences, Kobe University, Kobe 658-0022, Japan;
| | - Chen Feng You
- Department of Earth Sciences, National Cheng-Kung University, No 1, University Road, Tainan City 701, Taiwan;
| | - Salman Abdo Al-Shami
- Indian River Research and Education Center, IFAS, University of Florida, Fort Pierce, FL 34945, USA;
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