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Duan D, Wang P, Rao X, Zhong J, Xiao M, Huang F, Xiao R. Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:173284. [PMID: 38768726 DOI: 10.1016/j.scitotenv.2024.173284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/22/2024]
Abstract
The accurate identification of spatial drivers is crucial for effectively managing soil heavy metals (SHM). However, understanding the complex and diverse spatial drivers of SHM and their interactive effects remains a significant challenge. In this study, we present a comprehensive analysis framework that integrates Geodetector, CatBoost, and SHapley Additive exPlanations (SHAP) techniques to identify and elucidate the interactive effects of spatial drivers in SHM within the Pearl River Delta (PRD) region of China. Our investigation incorporated fourteen environmental factors and focused on the pollution levels of three prominent heavy metals: Hg, Cd, and Zn. These findings provide several key insights: (1) The distribution of SHM is influenced by the combined effects of various individual factors and interactions within the source-flow-sink process. (2) Compared with the spatial interpretation of individual factors, the interaction between Hg and Cd exhibited enhanced spatial explanatory power. Similarly, interactions involving Zn mainly demonstrated increased spatial explanatory power, but there was one exception in which a weakening was observed. (3) Spatial heterogeneity plays a crucial role in determining the contributions of environmental factors to soil heavy metal concentrations. Although individual factors generally promote metal accumulation, their effects fluctuate when interactions are considered. (4) The SHAP interpretable method effectively addresses the limitations associated with machine-learning models by providing understandable insights into heavy metal pollution. This enables a comparison of the importance of environmental factors and elucidates their directional impacts, thereby aiding in the understanding of interaction mechanisms. The methods and findings presented in this study offer valuable insights into the spatial heterogeneity of heavy metal pollution in soil. By focusing on the effects of interactive factors, we aimed to develop more accurate strategies for managing SHM pollution.
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Affiliation(s)
- Deyu Duan
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Peng Wang
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
| | - Xin Rao
- School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou 510420, China
| | - Junhong Zhong
- School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China
| | - Meihong Xiao
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Fei Huang
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Rongbo Xiao
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
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Zhou Q, Yang S, Sun L, Ye J, Sun Y, Qin Q, Xue Y. Evaluating the protective capacity of soil heavy metals regulation limits on human health: A critical analysis concerning risk assessment - Importance of localization. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 361:121197. [PMID: 38820791 DOI: 10.1016/j.jenvman.2024.121197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/05/2024] [Accepted: 05/16/2024] [Indexed: 06/02/2024]
Abstract
Heavy metal pollution of agricultural soil is a major global concern, prompting the establishment of maximum allowable limits (MALs) to ensure food safety and protect human health. This study collected and compared MALs for six heavy metals (As, Cd, Hg, Pb, Zn, and Cu) in agricultural soils from representative countries and organizations (EU and WHO/FAO). The research evaluated the critical health risks and efficacy of these MALs under the hypothetical scenario of metals concentrations reaching the maximum allowable level. Safe thresholds for heavy metals were then derived based on maximum acceptable health risk levels. The comparative analysis revealed significant variations in the specific limit values and terms of MALs across countries and organizations, even for the same metal. This suggests that there is no consensus among countries and organizations regarding the level of metal-related health risks. Furthermore, the risk analysis of metal concentrations reaching the maximum level accentuated heightened risks associated with As, suggesting that the current risk of soil As exposure was underestimated, particularly for children. However, soil Cu, Cd, and Zn limits generally resulted in low health risks, implying that the current limits may overestimate their hazard. Overall, the results highlight that the current MALs for soil heavy metals may not fully safeguard human health. There is a critical need to optimize current soil MALs based on localized risks and the actual impact of these metals on human health. It is suggested to appropriately lower the limits of metals (such as As) whose impact on health risks is underestimated, and cautiously increase the limits of metals (such as Cu, Cd, and Zn) that currently pose minor health risks. This approach aims to reduce both over and insufficient protection problems of soil heavy metal MALs, emphasizing the importance of considering the locality in setting these limits.
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Affiliation(s)
- Qianhang Zhou
- School of Chemical and Environmental Engineering, Shanghai Institute of Technology, 201418, China; Eco-Environmental Protection Institution, Shanghai Academy of Agricultural Sciences, 201403, China
| | - Shiyan Yang
- Eco-Environmental Protection Institution, Shanghai Academy of Agricultural Sciences, 201403, China; Key Laboratory of Low-carbon Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, 201403, China
| | - Lijuan Sun
- Eco-Environmental Protection Institution, Shanghai Academy of Agricultural Sciences, 201403, China; Key Laboratory of Low-carbon Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, 201403, China
| | - Jing Ye
- School of Chemical and Environmental Engineering, Shanghai Institute of Technology, 201418, China.
| | - Yafei Sun
- Eco-Environmental Protection Institution, Shanghai Academy of Agricultural Sciences, 201403, China; Key Laboratory of Low-carbon Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, 201403, China
| | - Qin Qin
- Eco-Environmental Protection Institution, Shanghai Academy of Agricultural Sciences, 201403, China; Key Laboratory of Low-carbon Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, 201403, China
| | - Yong Xue
- Eco-Environmental Protection Institution, Shanghai Academy of Agricultural Sciences, 201403, China; Key Laboratory of Low-carbon Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, 201403, China.
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Ma W, Ding M, Bian Z. Comprehensive assessment of exposure and environmental risk of potentially toxic elements in surface water and sediment across China: A synthesis study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:172061. [PMID: 38552973 DOI: 10.1016/j.scitotenv.2024.172061] [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: 01/22/2024] [Revised: 03/18/2024] [Accepted: 03/26/2024] [Indexed: 04/06/2024]
Abstract
China faces a serious challenge with water pollution posed by potentially toxic elements (PTEs). Comprehensive and reliable environmental risk assessment is paramount for precise pollution prevention and control. Previous studies generally focused on a single environmental compartment within small regions, and the uncertainty in risk calculation is not fully considered. This study revealed the current exposure status of 11 PTEs in surface water and sediment across China using previously reported concentration data in 301 well-screened articles. Ecological and human health risks were evaluated and the uncertainty related to calculation parameters and exposure dataset were quantified. PTEs of high concern were further identified. Results showed Mn and Zn had the highest concentration levels, while Hg and Cd had the lowest concentrations in both surface water and sediment. Risk assessment of individual PTE showed that high-risk PTEs varied by risk receptors and environmental compartments. Nationwide, the probability of aquatic organisms being affected by Mn, Zn, Cu, and As in surface water exceeded 10 %. In sediment, Cd and Hg exhibited high and considerable risk, respectively. As was identified as the major PTE threatening human health as its carcinogenic risk was 1.45 × 10-4 through direct ingestion. Combined risk assessment showed the PTE mixture in surface water and sediment posed medium and high ecological risk with the risk quotient and potential ecological risk index of 1.76 and 558.36, respectively. Adverse health effects through incidental ingestion and dermal contact during swimming were negligible. This study provides a nationwide risk assessment of PTEs in China's aquatic environment and the robustness is verified, which can serve as a practical basis for policymakers to guide the early warning and precise management of water pollution.
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Affiliation(s)
- Wankai Ma
- College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Mengling Ding
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zhaoyong Bian
- College of Water Sciences, Beijing Normal University, Beijing 100875, PR China.
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Guyonnet D, Coftier A, Bataillard P, Destercke S. Risk-based imprecise post-remediation soil quality objectives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171445. [PMID: 38442757 DOI: 10.1016/j.scitotenv.2024.171445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/22/2024] [Accepted: 03/01/2024] [Indexed: 03/07/2024]
Abstract
While risk-based contaminated land management is an essential component of sustainable remediation, uncertainty is an unavoidable aspect of risk assessment, since most of the parameters that influence risk are typically affected by uncertainty. Uncertainty may be of different origins; i.e., stochastic or epistemic. Stochastic (or aleatoric) uncertainty arises from random variability related to natural processes, while epistemic uncertainty arises from the incomplete/imprecise nature of available information. But the latter is rarely considered in risk assessments, with the result that risk-based soil quality objectives are almost invariably presented as precise (unique) threshold values. In this paper it is shown: (i) how the joint treatment of stochastic and epistemic uncertainty in risk assessment can lead to soil quality objectives presented as intervals rather than precise values and (ii) how this provides an upper risk-based safeguard for post-remediation monitoring values. The proposed method is illustrated by a real case of soils contaminated by arsenic located in the North-East of France. At this site steel manufacturers have gradually filled up a small valley with slag and dust, over more than a century. These materials are enriched in various metal(loid)s, including arsenic and lead. As the environmental authority has asked for a conversion of the site to other uses that may involve access by the general public, an investigation of human health risk was performed based on a sampling campaign and chemical characterizations including various types of extractions and an analysis of bioaccessibility. While further investigations are required to improve the bioaccessibility model, the human health risk presented herein shows how partial or imprecise information can be incorporated in the analysis while taking into account underlying uncertainties.
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Xu D, Wang Z, Tan X, Xu H, Zhu D, Shen R, Ding K, Li H, Xiang L, Yang Z. Integrated assessment of the pollution and risk of heavy metals in soils near chemical industry parks along the middle Yangtze River. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170431. [PMID: 38301773 DOI: 10.1016/j.scitotenv.2024.170431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/13/2024] [Accepted: 01/23/2024] [Indexed: 02/03/2024]
Abstract
Industrialization in riparian areas of critical rivers has caused significant environmental and health impacts. Taking eight industrial parks along the middle Yangtze River as examples, this study proposes a multiple-criteria approach to investigate soil heavy metal pollution and associated ecological and health risks posed by industrial activities. Aiming at seven heavy metals, the results show that nickel (Ni), cadmium (Cd), and copper (Cu) exhibited the most significant accumulation above background levels. The comprehensive findings from Pearson correlation analysis, cluster analysis, principal component analysis, and industrial investigation uncover the primary sources of Cd, arsenic (As), mercury (Hg), and lead (Pb) to be chemical processing, while Ni and chromium (Cr) are predominantly derived from mechanical and electrical equipment manufacturing. In contrast, Cu exhibits a broad range of origins across various industrial processes. Soil heavy metals can cause serious ecological and carcinogenic health risks, of which Cd and Hg contribute to >70 % of the total ecological risk, and As contributes over 80 % of the total health risk. This study highlights the importance of employing multiple mathematical and statistical models in determining and evaluating environmental hazards, and may aid in planning the environmental remediation engineering and optimizing the industry standards.
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Affiliation(s)
- Dong Xu
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Zejun Wang
- School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China.
| | - Xiaoyu Tan
- School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China
| | - Haohan Xu
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Dongbo Zhu
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Ruili Shen
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Kang Ding
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Hongcheng Li
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China
| | - Luojing Xiang
- Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430074, China.
| | - Zhibing Yang
- State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, China
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Huang X, Li X, Zheng L, Zhang Y, Sun L, Feng Y, Du J, Lu X, Wang G. Comprehensive assessment of health and ecological risk of cadmium in agricultural soils across China: A tiered framework. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133111. [PMID: 38043426 DOI: 10.1016/j.jhazmat.2023.133111] [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: 08/10/2023] [Revised: 10/12/2023] [Accepted: 11/26/2023] [Indexed: 12/05/2023]
Abstract
Soil cadmium (Cd) contamination has been increasingly serious in agricultural land across China, posing unexpected risks to human health concerning crop safety and terrestrial ecosystems. This study collected Cd concentration data from 3388 soil sites in agricultural regions. To assess the Cd risk to crop safety, a comprehensive sampling investigation was performed to develop reliable Soil Plant Transfer (SPT) model. Eco-toxicity tests with representative soils and organism was conducted to construct the Species Sensitivity Distribution (SSD) for ecological risk assessment. Then, a tiered framework was applied based on Accumulation index, deterministic method (Hazard quotient), and probabilistic assessment (Monte Carlo and Joint Probability Curve). The results revealed the widespread Cd enrichment in agricultural soils, mainly concentrated in Central, Southern, and Southwest China. Risk assessments demonstrated the greater risks related to crop safety, while the ecological risks posed by soil Cd were manageable. Notably, agricultural soils in southern regions of China exhibited more severe risks to both crop safety and soil ecosystem, compared to other agricultural regions. Furthermore, tiered methodology proposed here, can be adapted to other trace elements with potential risks to crop safety and terrestrial ecosystem.
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Affiliation(s)
- Xinghua Huang
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China; College of Environment Science and Engineering, Yangzhou University, Yangzhou 225127, China
| | - Xuzhi Li
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.
| | - Liping Zheng
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Ya Zhang
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Li Sun
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Yanhong Feng
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Junyang Du
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Xiaosong Lu
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Guoqing Wang
- State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.
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7
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Zhang J, Wang X, Li J, Luo J, Wang X, Ai S, Cheng H, Liu Z. Bioavailability (BA)-based risk assessment of soil heavy metals in provinces of China through the predictive BA-models. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133327. [PMID: 38141317 DOI: 10.1016/j.jhazmat.2023.133327] [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: 09/05/2023] [Revised: 11/29/2023] [Accepted: 12/18/2023] [Indexed: 12/25/2023]
Abstract
The real biological effect is not generated by the total content of heavy metals (HMs), but rather by bioavailable content. A new bioavailability-based ecological risk assessment (BA-based ERA) framework was developed for deriving bioavailability-based soil quality criteria (BA-based SQC) and accurately assessing the ecological risk of soil HMs at a multi-regional scale in this study. Through the random forest (RF) models and BA-based ERA framework, the 217 BA-based SQC for HMs in 31 Chinese provinces were derived and the BA-based ERA was comprehensively assessed. This study found that bioavailable HMs extraction methods (BHEMs) and total HMs content play the predominant role in affecting HMs (As, Cd, Cr, Cu, Ni, Pb, and Zn) bioavailability by explaining 27.55-56.11% and 9.20-62.09% of the variation, respectively. The RF model had accurate and stable prediction ability for the bioavailability of soil HMs with the mean R2 and RMSE of 0.83 and 0.43 for the test set, respectively. The results of BA-based ERA showed that bioavailability could avoid the overestimation of ecological risks to some extent after reducing the uncertainty of soil differences. This study confirmed the feasibility of using bioavailability for ERA and will utilised to revise the soil environmental standards based on bioavailability for HMs.
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Affiliation(s)
- Jiawen Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Xiaonan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China.
| | - Ji Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China
| | - Jingjing Luo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China
| | - Xusheng Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China
| | - Shunhao Ai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; The College of Life Science, Nanchang University, Nanchang 330047, PR China
| | - Hongguang Cheng
- College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Zhengtao Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China.
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8
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Cai B, Tang R, Wang H, Sun J, Zhao M, Huang X, Song X, Han Z, Fan Z. Impact of economic development on soil trace metal(loid)s pollution: A case study of China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123319. [PMID: 38185361 DOI: 10.1016/j.envpol.2024.123319] [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: 09/20/2023] [Revised: 12/20/2023] [Accepted: 01/04/2024] [Indexed: 01/09/2024]
Abstract
Recently, intensive anthropogenic activities, while promoting economic growth, have also exacerbated soil trace metal(loid) (TM) pollution. To explore the impact of economic development on soil TM pollution, a time-weighted method was introduced to calculate the average concentrations of eight TMs in Chinese topsoil from 2001 to 2020, and panel data on TMs and economic factors of 31 provinces were used for regression analysis. The results revealed that the average concentrations of soil TMs all exceeded their respective soil background values. Meanwhile, the spatial distribution of soil TMs was characterized by obvious regional heterogeneity, with economically developed areas being heavily polluted and having high ecological risks. In addition, the results derived from panel data models showed that the relationship between soil TM pollution and economic development in China presented a continuous growth curve, but with an N-shaped pattern in eastern China, a U-shaped pattern in central China, and a positive linearity in western China. Four control variables were also introduced to evaluate their impact on TM pollution, and the results indicated that the proportion of secondary industry and the road area per capita were the major influencing factors. Ultimately, the inflection point estimation results suggested that the soil TM pollution level will increase in eastern China, central China and western China with ongoing economic growth. Our findings contribute to the current understanding of the relationship between soil TM pollution and anthropogenic activities, and provide a scientific basis for adjusting and planning industrial development and layout according to the characteristics of soil TM pollution.
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Affiliation(s)
- Boya Cai
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Rui Tang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Huijuan Wang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Jiaxun Sun
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China; Department of Geographical Science, University of Maryland, College Park 20742, United States
| | - Menglu Zhao
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Xinmiao Huang
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Xiaoyong Song
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Zilin Han
- 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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Xiao M, Qian L, Yang B, Zeng G, Ren S. Risk assessment of heavy metals in agricultural soil based on the coupling model of Monte Carlo simulation-triangular fuzzy number. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:62. [PMID: 38294573 DOI: 10.1007/s10653-024-01866-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: 09/08/2023] [Accepted: 01/09/2024] [Indexed: 02/01/2024]
Abstract
Soils in areas wherein agriculture and mining coexist are experiencing serious heavy metal contamination, posing a great threat to the ecological environment and human health. In this study, heavy metals (As, Cd, Cr, Cu, Ni, Pb, and Zn) in agricultural soil samples from mining areas were analyzed to explore pollution status, bioavailability, potential sources, and ecological/health risks. Particularly, the coupling model of Monte Carlo simulation-triangular fuzzy number (MCS-TFN) was established to quantify ecological/health risks accurately. Results showed that Cd was heavily enriched in soil and had the highest bioavailability based on both geo-accumulation index (Igeo) and chemical speciation analysis. Pollution sources apportioned with the absolute principal component score-multiple linear regression (APCS-MLR) model demonstrated that heavy metals were mainly derived from agricultural activities, followed by mining activities and natural sources. The MCS-TFN ecological risk assessment classified Cd into the high-risk category with a probability of 40.96%, whereas other heavy metals were categorized as the low risk. Cd was regarded as the major pollutant for the ecosystem. Moreover, the MCS-TFN health risk assessment indicated that As showed high noncarcinogenic risk (0.07% probability) and moderate carcinogenic risk (1.87% probability), and Cd presented low carcinogenic risk (80.19% probability). As and Cd were identified as the main heavy metals that pose a threat to human health. The MCS-TFN risk assessment is superior to the traditional deterministic risk assessment since it can obtain the risk level and the corresponding probability, and significantly reduce the uncertainty in risk assessment.
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Affiliation(s)
- Minsi Xiao
- Jiangxi Provincial Key Laboratory of Mining and Metallurgy Environmental Pollution Control, Jiangxi University of Science and Technology, Ganzhou, People's Republic of China
- Jiangxi Provincial Key Laboratory of Low-Carbon Processing and Utilization of Strategic Metal Mineral Resources, Jiangxi University of Science and Technology, Ganzhou, People's Republic of China
| | - Lidan Qian
- Jiangxi Provincial Key Laboratory of Low-Carbon Processing and Utilization of Strategic Metal Mineral Resources, Jiangxi University of Science and Technology, Ganzhou, People's Republic of China
| | - Bing Yang
- Jiangxi Provincial Key Laboratory of Low-Carbon Processing and Utilization of Strategic Metal Mineral Resources, Jiangxi University of Science and Technology, Ganzhou, People's Republic of China
| | - Guangcong Zeng
- Jiangxi Provincial Key Laboratory of Low-Carbon Processing and Utilization of Strategic Metal Mineral Resources, Jiangxi University of Science and Technology, Ganzhou, People's Republic of China
| | - Sili Ren
- Jiangxi Provincial Key Laboratory of Mining and Metallurgy Environmental Pollution Control, Jiangxi University of Science and Technology, Ganzhou, People's Republic of China.
- Jiangxi Provincial Key Laboratory of Low-Carbon Processing and Utilization of Strategic Metal Mineral Resources, Jiangxi University of Science and Technology, Ganzhou, People's Republic of China.
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10
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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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Zhou H, Yue X, Chen Y, Liu Y. Source-specific probabilistic contamination risk and health risk assessment of soil heavy metals in a typical ancient mining area. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167772. [PMID: 37839479 DOI: 10.1016/j.scitotenv.2023.167772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 10/07/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
Heavy metal pollution (HMP) from mining operations severely threatens soil ecosystems and human health. Identifying the sources of soil heavy metals (HMs) and assessing source-specific risks are critical for developing effective risk mitigation strategies. In this study, a combination of methodologies including PMF, Monte Carlo analysis, soil pollution risk index, and a human health risk assessment model were utilized to investigate soil HM risks in a typical ancient mining area in Daye City, China, considering both environmental pollution and human health impacts. Cu emerged as the most significant soil pollution risk, whereas As posing the highest health risk. About 48.44 % of the multi-element integrated soil pollution risk has escalated to the heavy level. Furthermore, around 22.42 % of the non-carcinogenic risk (NCR) and 9.53 % of the carcinogenic risk (CR) exceeded unacceptable thresholds (THI > 1 for NCR and TCR > 1E-4 for CR). The PMF model identified four distinct sources: the smelting industry, traffic emissions, a combination of agricultural and natural factors, and mining activities. The mixed agricultural and natural source significantly impacted health risks, contributing 42.17 % to NCR and 53.88 % to CR, followed by the mining source, contributing 31.67 % to NCR and 24.07 % to CR. Interestingly, the mining source contributed the highest soil pollution risk at 42.45 %, while the mixed agricultural and natural source exhibited the lowest at 16.33 %. Furthermore, the study explored source-specific risk components by evaluating the contributions of different sources to specific elements. The mining source was identified as the focus for soil HMP control, followed by the mixed agricultural and natural source. Overall, this study provided an in-depth analysis of soil heavy metal risks in mining areas from the source apportionment perspective, which broadened the research framework of soil heavy metal source analysis and risk assessment, potentially providing scientific guidance for managing regional soil HMP.
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Affiliation(s)
- Hao Zhou
- Wuhan University of Science and Technology, No.947 Heping Avenue, Wuhan 430080, Hubei, China; National Key Laboratory of Environmental Protection Mining and Metallurgy Resource Utilization and Pollution Control, Wuhan 430080, Hubei, China.
| | - Xuemei Yue
- Wuhan University of Science and Technology, No.947 Heping Avenue, Wuhan 430080, Hubei, China; National Key Laboratory of Environmental Protection Mining and Metallurgy Resource Utilization and Pollution Control, Wuhan 430080, Hubei, China.
| | - Yong Chen
- Wuhan University of Science and Technology, No.947 Heping Avenue, Wuhan 430080, Hubei, China; National Key Laboratory of Environmental Protection Mining and Metallurgy Resource Utilization and Pollution Control, Wuhan 430080, Hubei, China; Hubei Provincial Key Laboratory of Efficient Utilization and Agglomeration of Metallurgical Mineral Resources, Wuhan 430080, Hubei, China.
| | - Yanzhong Liu
- Wuhan University of Science and Technology, No.947 Heping Avenue, Wuhan 430080, Hubei, China; Hubei Provincial Key Laboratory of Efficient Utilization and Agglomeration of Metallurgical Mineral Resources, Wuhan 430080, Hubei, China.
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12
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Amerizadeh A, Gholizadeh M, Karimi R. Meta-analysis and health risk assessment of toxic heavy metals in muscles of commercial fishes in Caspian Sea. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:457. [PMID: 36892688 DOI: 10.1007/s10661-023-11076-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
Heavy metals from contaminated seafood can have serious consequences for human health. Several studies on the amount of heavy metals in Caspian Sea fish have been conducted to ensure their food safety. This meta-analysis aimed to investigate the levels of five toxic heavy metals; Lead (Pb), Cadmium (Cd), Mercury (Hg), Chromium (Cr), and Arsenic (As) in muscles of commercial fishes of the Caspian Sea with assessing their health risk of developing oral cancer in terms of fish collection place and fish type. A systematic search was performed, and the random effect model was applied for meta-analysis. Finally, 14 studies with 30 different sets of results were included. Our results showed that the pooled estimates for Pb, Cd, Hg, Cr, and As were 0.65 mg/kg (0.52, 0.79), 0.08 mg/kg (0.07, 0.10), 0.11 mg/kg (0.07, 0.15), 1.77 mg/kg (1.26, 2.27), and 0.10 mg/kg (- 0.06, 0.26) respectively. The levels of Pb and Cd were higher than their (FAO/WHO) maximum limits. The Estimated Daily Intake (EDI) of Pb and Cd in Mazandaran, and Hg in Gilan were more than Total Daily Intake (TDI) limits. The consumers' non-carcinogenic risk (THQ) for Hg in Mazandaran and Gilan, and As in Gilan, was unsafe. Carcinogenic risk (CR) for Cr and Cd in all three provinces, and for As in Mazandaran and Gilan, was greater than 1*10 - 4 and was unsafe. The lowest and highest risk levels of oral cancer were for Rutilus kutum and Cyprinus carpio respectively.
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Affiliation(s)
- Atefeh Amerizadeh
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Gholizadeh
- Department of Fisheries, Faculty of Agriculture and Natural Resources, Gonbad Kavous University, Gonbad-E Kavus, P.O. box: 163, Iran.
| | - Raheleh Karimi
- Epidemiology and Biostatistics Department, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
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13
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Wu L, Yue W, Wu J, Cao C, Liu H, Teng Y. Metal-mining-induced sediment pollution presents a potential ecological risk and threat to human health across China: A meta-analysis. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 329:117058. [PMID: 36528944 DOI: 10.1016/j.jenvman.2022.117058] [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: 09/19/2022] [Revised: 12/09/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
Aquatic sediment polluted by potentially toxic elements (PTEs) from mining activities represents a potential health "time bomb" for humans and the local ecology, but the integrated analysis of pollution and hazards of PTEs in sediment around typical metal mines in China is limited. Presently, the associated pollution status, spatial distribution, and ecological and health hazards of Cd, Cu, Zn, Pb, Cr, and As were investigated through index evaluation, spatial analysis, health risk assessment models, and Monte Carlo simulation. Overall, the sediment exhibited varying degrees of PTE contamination; notably, the level of Cd was 104.85 times higher than its background value, and it became the most enriched element in the surveyed sediment, followed in descending order by Cu, As, Zn, Pb, and Cr. Nationally, over 64.5% of metal-mining-affected sediment presented a very high ecological risk, contributed mostly by Cd (43.2%-98.7%) followed by As, Pb, and Cu; the risk contributed by both Cr and Zn was found to be negligible. The adverse health risk posed to children by most sediment was 1.72 and 6.46 times higher than that posed to adults for cancerous and noncancerous risks, respectively. The potential noncarcinogenic risks were mainly caused by As, which contributed over 78.9% of the Hazard Index values, then followed by Pb (>9.3%). For both children and adults, the carcinogenic risk of PTEs decreased in the following order: As > Cd > Cr > Pb. The investigated sediment was found seriously affected by nearby metal mines, especially those in regions with long-term and large-scale nonferrous-metal-mining activities. This study could provide a reference for policymakers to develop control strategies for PTE pollution in sediment around mining areas.
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Affiliation(s)
- Lijun Wu
- College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing, 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing, 100875, China
| | - Weifeng Yue
- College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing, 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing, 100875, China.
| | - Jin Wu
- Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
| | - Changming Cao
- College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing, 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing, 100875, China
| | - Hong Liu
- College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing, 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing, 100875, China
| | - Yanguo Teng
- College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing, 100875, China; Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing, 100875, China
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14
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Shi H, Wang P, Zheng J, Deng Y, Zhuang C, Huang F, Xiao R. A comprehensive framework for identifying contributing factors of soil trace metal pollution using Geodetector and spatial bivariate analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159636. [PMID: 36280075 DOI: 10.1016/j.scitotenv.2022.159636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
The accurate identification of pollution sources is important for controlling soil pollution. However, the widely used Positive matrix factorization (PMF) model generally relies on knowledge and experience to accurately identify pollution sources; thus, this method faces significant challenges in objectively identifying soil pollution sources. Herein, we established a comprehensive source analysis framework using factor identification and geospatial analysis, and revealed the factors contributing to trace metal(loid) (TM) pollution in soil in the Pearl River Delta (PRD), China. Using the PMF model, we initially considered that the PRD may be affected by natural, atmospheric, traffic and industrial, and agricultural sources. Moreover, Geodetector model detected the relationship between TMs and 12 environmental variables based on the strong spatial "source-sink" relationship of pollutants. The parent material and digital elevation model were the key factors predicting the accumulation of Cr, Ni, and Cu. Industries and roads were the most important determinants of Pb, Zn, and Cd, whereas atmospheric deposition was more important for Hg accumulation. The accumulation of As was found to be closely related to agricultural activities such as the application of chemical fertilizers and pesticides. The spatial autocorrelation between soil TM pollution and environmental variables further supports this hypothesis. Overall, the obtained results showed that proposed approach improved the accuracy of source apportionment and provided a basis for soil pollution control.
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Affiliation(s)
- Hangyuan Shi
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Peng Wang
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
| | - Jiatong Zheng
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Yirong Deng
- Guangdong Provincial Academy of Environmental Science, Guangzhou 510006, China
| | - Changwei Zhuang
- Guangdong Provincial Academy of Environmental Science, Guangzhou 510006, China
| | - Fei Huang
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Rongbo Xiao
- School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
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15
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Zhang J, Liu Z, Tian B, Li J, Luo J, Wang X, Ai S, Wang X. Assessment of soil heavy metal pollution in provinces of China based on different soil types: From normalization to soil quality criteria and ecological risk assessment. JOURNAL OF HAZARDOUS MATERIALS 2023; 441:129891. [PMID: 36103763 DOI: 10.1016/j.jhazmat.2022.129891] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/23/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
Ecological risks can vary dramatically depending on abiotic factors, such as soil properties and the background values of elements. This study developed a framework for an integrated risk assessment system to derive soil quality criteria (SQC) for heavy metals (HMs) applicable to different soil types and to assess ecological risks at a multi-regional scale. Through the construction of normalization and species sensitivity distribution models, 248 SQC values for Cd, Pb, Zn, As, Cu, Cr, Sb, and Ni in 31 Chinese provinces were derived. These SQC considered the soil types and background values of the elements and effectively reduced the uncertainty caused by spatial heterogeneity. Using the derived SQC values, the qualitative and quantitative ecological risks of HMs in the terrestrial environment of China were comprehensively assessed using a three-level ecological risk assessment (ERA) approach. Compared to traditional ERA methods, the new methodology reached a more quantitative conclusion. The mean overall probabilities of ecological risk in China were 2.42 % (Cd), 2.82 % (Pb), 12.17 % (Zn), 14.89 % (As), 10.42 % (Cu), 32.20 %(Cr), and 8.88 % (Ni). The new framework could be useful for the ERA of various soil types.
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Affiliation(s)
- Jiawen Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China
| | - Zhengtao Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China.
| | - Biao Tian
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China
| | - Ji Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China
| | - Jingjing Luo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China
| | - Xusheng Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China
| | - Shunhao Ai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; The College of Life Science, Nanchang University, Nanchang 330047, PR China
| | - Xiaonan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China.
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16
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Huang C, Shen Z, Li L, Yue S, Jia L, Wang K, Zhou W, Qiao Y. Reproductive damage and compensation of wild earthworm Metaphire californica from contaminated fields with long-term heavy metal exposure. CHEMOSPHERE 2023; 311:137027. [PMID: 36419262 DOI: 10.1016/j.chemosphere.2022.137027] [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: 09/29/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
Reproduction is a significant biological process for organisms responding to environmental stresses, however, little is known about the reproductive strategies of invertebrates under long-term exposure to contaminations. In this study, earthworm Metaphire californica (Kinberg, 1867) from contaminated fields with an increased metal gradient were collected to investigate their reproductive responses. The results showed heavy metals (Cd, Cu, Zn, and Pb) induced histological damage to earthworms' seminal vesicles, including tissue disorders and cavities, and decreases in mature spermatozoa. Sperm morphology analysis indicated deformity rates were up to13.2% (e.g. head swollen or missing) for worms from the most contaminated site, which coincided with DNA damages. Furthermore, the computer-assisted sperm analysis (CASA) system was employed for the evaluation of sperm kinetic traits. Results suggested earthworms exposed to higher contamination showed a lower sperm viability rate but faster sperm velocity after re-exposure with Cd solution (like the curvilinear velocity and straight-line velocity paraments) compared with those from relatively clean sites. The activities of lactate dehydrogenase and sorbitol dehydrogenase showed the highest 32.5% and 12.5% up-regulation respectively with the increased metal gradient. In conclusion, this study elucidated the earthworm reproductive toxicity, underlying reproductive compensation, metal stress-induced damages, and adaptive responses caused by heavy metal exposure, while also providing the possibility of sperm trait analysis (CASA) for related earthworm toxicological studies.
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Affiliation(s)
- Caide Huang
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China; Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
| | - Zhiqiang Shen
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China
| | - Liang Li
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China
| | - Shizhong Yue
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China; Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China
| | - Li Jia
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China; Centre National de la Recherche Scientifique, Institut des Sciences de la Terre D'Orleans, Université D'Orleans-Brgm, UMR, 7327, France
| | - Kun Wang
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China; State Key Laboratory of North China Crop and Regulation, College of Resources and Environmental Science, Hebei Agricultural University, Baoding, 071001, China
| | - Wenhao Zhou
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China
| | - Yuhui Qiao
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China; Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing, 100193, China.
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Wang X, Wei N, Ji G, Liu R, Huang G, Zhang H. Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China's Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12459. [PMID: 36231759 PMCID: PMC9564857 DOI: 10.3390/ijerph191912459] [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: 07/31/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Identifying the driving factors of soil environmental quality is critical in raising countermeasures for managing the soil environment efficiently and precisely. In 2018, China issued risk control standards to divide soil environmental quality into three classes to meet the demands of environment management. However, there is a lack of knowledge of this new standard. An intensive field-sampling research (2598 top-soil samples were analyzed) was conducted in the agricultural land of Hubei province, central China, to find the driving factors of pollutants based on this new standard. According to the standard, the proportion of classes 1, 2, and 3 in the overall quality grade was 57.3%, 41.7%, and 1%, respectively. The standardized index showed that the pollution levels of cadmium, arsenic, lead, and chromium were higher than that of mercury. The first component of the principal component analysis explained 56.4% of the total variance, and the loading of cadmium, arsenic and lead were -53.5%, -52.1%, and -51.2%, respectively. The general linear modeling found that cadmium and arsenic showed positive and significant effects (p < 0.001) on the grading results of soil environmental quality. Based on the random forest algorithm, cadmium showed the greatest importance on soil environmental quality (increase in mean squared error = 32.5%). Overall, this study revealed that cadmium, arsenic, and lead were driving pollutants affecting soil environment quality grade. The large data size increased the reliability and robustness of the study's conclusions, and it provided reference methods for future studies investigating China's new standard for assessing soil environmental quality.
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Song P, Xu D, Yue J, Ma Y, Dong S, Feng J. Recent advances in soil remediation technology for heavy metal contaminated sites: A critical review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156417. [PMID: 35662604 DOI: 10.1016/j.scitotenv.2022.156417] [Citation(s) in RCA: 83] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 05/29/2022] [Accepted: 05/30/2022] [Indexed: 05/22/2023]
Abstract
With the increasing development of industry and urbanization, heavy metal contaminated sites have become progressively conspicuous, particularly by unreasonable emissions from electroplating, nonferrous metals smelting, mine tailing, etc. In recent years, soil remediation technologies for heavy metal contaminated sites have developed rapidly. New and effective remediation technologies have emerged successively, and more successful practical applications have appeared. Therefore, systematical summarization of the current progress is essential. As a result, in this paper, some mainstream soil remediation technologies for heavy metal contaminated sites, including physical remediation (soil thermal desorption and soil replacement), bioremediation (phytoremediation and microbial remediation), chemical remediation (chemical leaching, chemical stabilization, electrokinetic remediation-permeable reactive barrier, and chemical oxidation/reduction), as well as various combined remediation are comprehensively reviewed. The influencing factors, advantages, disadvantages, remediation mechanism, and practical applications are also deeply discussed. Besides, the corresponding remediation strategies are put forward for the remediation of heavily polluted sites such as the chemical industry, smelting, and tailing areas. Overall, this review will be beneficial for the in-depth understanding and provide references for the reasonable selection and development of soil remediation technology for heavy metal contaminated sites.
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Affiliation(s)
- Peipei Song
- College of Resources and Environment, Shandong Agricultural University, Key Laboratory of Agricultural Environment, National Engineering Research Center for Efficient Utilization of Soil and Fertilizer Resources, Tai'an 271018, PR China.
| | - Dan Xu
- College of Resources and Environment, Shandong Agricultural University, Key Laboratory of Agricultural Environment, National Engineering Research Center for Efficient Utilization of Soil and Fertilizer Resources, Tai'an 271018, PR China
| | - Jingyuan Yue
- College of Resources and Environment, Shandong Agricultural University, Key Laboratory of Agricultural Environment, National Engineering Research Center for Efficient Utilization of Soil and Fertilizer Resources, Tai'an 271018, PR China
| | - Yuanchen Ma
- College of Resources and Environment, Shandong Agricultural University, Key Laboratory of Agricultural Environment, National Engineering Research Center for Efficient Utilization of Soil and Fertilizer Resources, Tai'an 271018, PR China
| | - Shujun Dong
- Hunan University of Arts and Sciences, Changde 415000, PR China
| | - Jing Feng
- PowerChina ZhongNan Engineering Corporation Limited, Changsha 410014, PR China
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Liu H, Qu M, Chen J, Guang X, Zhang J, Liu M, Kang J, Zhao Y, Huang B. Heavy metal accumulation in the surrounding areas affected by mining in China: Spatial distribution patterns, risk assessment, and influencing factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 825:154004. [PMID: 35192835 DOI: 10.1016/j.scitotenv.2022.154004] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 06/14/2023]
Abstract
Previous studies about heavy metal (HM) accumulation in the surrounding areas affected by mining mainly focused on a single or just a few mining areas. However, these studies could not provide adequate information supporting HM controls in soils at the national scale. This study first conducted a literature investigation and collected HM data in mining areas in China from 263 pieces of published literature. Then, geo-accumulation index (Igeo), ecological risk index (ER), and health risk assessment model were adopted to evaluate their HM pollution, ecological risks, and health risks, respectively. Finally, Geodetector and Pearson correlation coefficients were used to explore the relationships between the spatial distribution patterns of HMs in soils and their influencing factors. Results showed that: (i) the average concentrations of Cd, Hg, Pb, Zn, Cu, As, Ni, and Cr were 5.4, 1.2, 335.3, 496.1, 105.8, 55.0, 42.6, and 72.4 mg kg-1, respectively, in the surrounding areas affected by mining in China; Cd pollution in soils (Igeo = 2.9) was most severe; Cd (ERCd > 320) and Hg (ERHg > 320) were the main ecological risk factors; (ii) among the selected factors, mine types, clay content, soil organic carbon, and precipitation with the highest relative importance for the spatial distribution patterns of the HMs; (iii) HM accumulation were inversely proportional to soil pH, and were proportional to clay content, precipitation, and temperature; (iv) As, Cd, Hg, Pb, and Ni should be selected as the HMs to be controlled preferentially; (v) priority attention should be given to mining areas in Central South China, Southwest China, Liaoning province, and Zhejiang province; (vi) special attention should be given to mining areas of antimony, tin, tungsten, molybdenum, manganese, and lead‑zinc. The above results provided crucial information for HM control in the areas affected by mining at the national scale.
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Affiliation(s)
- Hongbo Liu
- School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China
| | - Mingkai Qu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China; University of Chinese Academy of Sciences, Yuquan Road 19, Beijing 100049, China
| | - Jian Chen
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China; University of Chinese Academy of Sciences, Yuquan Road 19, Beijing 100049, China
| | - Xu Guang
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China; University of Chinese Academy of Sciences, Yuquan Road 19, Beijing 100049, China
| | - Jianlin Zhang
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China
| | - Maosheng Liu
- School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China
| | - Junfeng Kang
- School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China.
| | - Yongcun Zhao
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Biao Huang
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China; University of Chinese Academy of Sciences, Yuquan Road 19, Beijing 100049, China
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20
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Zhu W, Yang X, He J, Wang X, Lu R, Zhang Z. Investigation and Systematic Risk Assessment in a Typical Contaminated Site of Hazardous Waste Treatment and Disposal. Front Public Health 2021; 9:764788. [PMID: 34778191 PMCID: PMC8578362 DOI: 10.3389/fpubh.2021.764788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 09/22/2021] [Indexed: 11/13/2022] Open
Abstract
A total of 214 sampling sites of a hazardous waste disposal center were surveyed in a two-stage pollution investigation, including soil boreholes and groundwater monitoring wells. Results showed that chemical oxygen demand (COD) (4.00–2930.00 mg/L), fluoride (0.07–9.08 mg/L), chromium (0.12–1.20 μg/L), nickel (0.15–459.00 μg/L), lead (0.10–10.20 μg/L), cadmium (Cd) (0.05–16.40 μg/L), and beryllium (0.06–3.48 μg/L) were detected in groundwater samples. For soils, Cd in soil (78.7 mg/kg) exceeded the risk screening value (65 mg/kg) for soil contamination of the second type of development land (GB36600-2018), and there remained the risk of leakage in the landfill detection investigation. Then, a health risk assessment was carried out. Based on the definitions of the groundwater exposure pathway (HJ 25.3-2019) and the pollution investigation of groundwater, the carcinogenic and non-carcinogenic risks of groundwater were generally considered to be negligible. The carcinogenic risk and non-carcinogenic risk of the concerned pollutant in soil for risk assessment (Cd) under the condition of reutilization exceeded the corresponding acceptable levels (1E-06 and 1). The (non-)carcinogenic risk of Cd mainly came from oral intake of soil and inhalation of soil particles under two conditions of reutilization and non-utilization, so on-site workers and surrounding residents should be properly protected from the mouth and nose to minimize the intake of pollutants from the soil and soil particles. The area of soil contaminated by Cd was about 630.58 m2, and the amount of pollution was about 1261.16 m3. The heavy metal pollution was only distributed in the depth range of 0–2 m, and the suggested risk control value of soil pollutants under the condition of reutilization for Cd was 56 mg/kg. Based on different pollution characteristics of soil, groundwater, and the landfill, targeted control measures were proposed.
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Affiliation(s)
- Wenhui Zhu
- Soil Environmental Protection Center, Research Center of Heavy Metal Pollution Prevention and Control, Chinese Academy for Environmental Planning, Beijing, China
| | - Xintong Yang
- Soil Environmental Protection Center, Research Center of Heavy Metal Pollution Prevention and Control, Chinese Academy for Environmental Planning, Beijing, China
| | - Jun He
- Soil Environmental Protection Center, Research Center of Heavy Metal Pollution Prevention and Control, Chinese Academy for Environmental Planning, Beijing, China
| | - Xiahui Wang
- Soil Environmental Protection Center, Research Center of Heavy Metal Pollution Prevention and Control, Chinese Academy for Environmental Planning, Beijing, China
| | - Ran Lu
- Soil Environmental Protection Center, Research Center of Heavy Metal Pollution Prevention and Control, Chinese Academy for Environmental Planning, Beijing, China
| | - Zheng Zhang
- Soil Environmental Protection Center, Research Center of Heavy Metal Pollution Prevention and Control, Chinese Academy for Environmental Planning, Beijing, China
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21
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González-Valoys AC, Esbrí JM, Campos JA, Arrocha J, García-Noguero EM, Monteza-Destro T, Martínez E, Jiménez-Ballesta R, Gutiérrez E, Vargas-Lombardo M, Garcia-Ordiales E, García-Giménez R, García-Navarro FJ, Higueras P. Ecological and Health Risk Assessments of an Abandoned Gold Mine (Remance, Panama): Complex Scenarios Need a Combination of Indices. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:9369. [PMID: 34501959 PMCID: PMC8431601 DOI: 10.3390/ijerph18179369] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 11/16/2022]
Abstract
The derelict Remance gold mine is a possible source of pollution with potentially toxic elements (PTEs). In the study area, diverse mine waste has been left behind and exposed to weather conditions, and poses risks for soil, plants and water bodies, and also for the health of local inhabitants. This study sought to perform an ecological and health risk assessment of derelict gold mining areas with incomplete remediation, including: (i) characterizing the geochemical distribution of PTEs; (ii) assessing ecological risk by estimating the pollution load index (PLI) and potential ecological risk index (RI); (iii) assessing soil health by dehydrogenase activity; and iv) establishing non-carcinogenic (HI) and carcinogenic risks (CR) for local inhabitants. Soil health seems to depend on not only PTE concentrations, but also on organic matter (OM). Both indexes (PLI and RI) ranged from high to extreme near mining and waste accumulation sites. As indicated by both the HI and CR results, the mining area poses a health risk for local inhabitants and particularly for children. For this reason, it will be necessary to set up environmental management programs in the areas that are most affected (tailings and surrounding areas) and accordingly establish the best remediation strategies to minimize risks for the local population.
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Affiliation(s)
- Ana Cristina González-Valoys
- Centro Experimental de Ingeniería, Technological University of Panama, Vía Tocumen, Panama City 0819-07289, Panama;
- Instituto de Geología Aplicada, Castilla-La Mancha University, EIMI Almadén, Plaza Manuel Meca 1, Almadén, 13400 Ciudad Real, Spain; (J.M.E.); (E.M.G.-N.); (P.H.)
- Department of Geology & Geochemistry, Autonomous University of Madrid, University City of Cantoblanco, 28049 Madrid, Spain; (R.J.-B.); (R.G.-G.)
| | - José María Esbrí
- Instituto de Geología Aplicada, Castilla-La Mancha University, EIMI Almadén, Plaza Manuel Meca 1, Almadén, 13400 Ciudad Real, Spain; (J.M.E.); (E.M.G.-N.); (P.H.)
| | - Juan Antonio Campos
- Escuela Técnica Superior de Ingenieros Agrónomos de Ciudad Real, Castilla-La Mancha University, Ronda de Calatrava 7, 13071 Ciudad Real, Spain; (J.A.C.); (F.J.G.-N.)
| | - Jonatha Arrocha
- Centro Experimental de Ingeniería, Technological University of Panama, Vía Tocumen, Panama City 0819-07289, Panama;
| | - Eva María García-Noguero
- Instituto de Geología Aplicada, Castilla-La Mancha University, EIMI Almadén, Plaza Manuel Meca 1, Almadén, 13400 Ciudad Real, Spain; (J.M.E.); (E.M.G.-N.); (P.H.)
| | - Tisla Monteza-Destro
- Departamento de Geotecnia, Facultad de Ingeniería Civil, Technological University of Panama, Ricardo J. Alfaro Avenue, Dr. Víctor Levi Sasso University Campus, Panama City 0819-07289, Panama; (T.M.-D.); (E.G.)
| | - Ernesto Martínez
- Dirección de Investigación, Vicerrectoría de Investigación, Postgrado y Extensión, Technological University of Panama, Ricardo J. Alfaro Avenue, Dr. Víctor Levi Sasso University Campus, Panamá City 0819-07289, Panama;
| | - Raimundo Jiménez-Ballesta
- Department of Geology & Geochemistry, Autonomous University of Madrid, University City of Cantoblanco, 28049 Madrid, Spain; (R.J.-B.); (R.G.-G.)
| | - Eric Gutiérrez
- Departamento de Geotecnia, Facultad de Ingeniería Civil, Technological University of Panama, Ricardo J. Alfaro Avenue, Dr. Víctor Levi Sasso University Campus, Panama City 0819-07289, Panama; (T.M.-D.); (E.G.)
| | - Miguel Vargas-Lombardo
- Facultad de Ingeniería de Sistemas Computacionales, Technological University of Panama, Ricardo J. Alfaro Avenue, Dr. Víctor Levi Sasso University Campus, Panamá City 0819-07289, Panama;
- SNI-SENACYT Sistema Nacional de Investigación-Secretaria Nacional de Ciencia, Tecnología e Innovación, Clayton, Ciudad del Saber Edif.205, Panama City 0816-02852, Panama
| | - Efrén Garcia-Ordiales
- Mining Exploration and Prospecting Department, University of Oviedo, Independencia Street, 13, 33004 Oviedo, Spain;
| | - Rosario García-Giménez
- Department of Geology & Geochemistry, Autonomous University of Madrid, University City of Cantoblanco, 28049 Madrid, Spain; (R.J.-B.); (R.G.-G.)
| | - Francisco Jesús García-Navarro
- Escuela Técnica Superior de Ingenieros Agrónomos de Ciudad Real, Castilla-La Mancha University, Ronda de Calatrava 7, 13071 Ciudad Real, Spain; (J.A.C.); (F.J.G.-N.)
| | - Pablo Higueras
- Instituto de Geología Aplicada, Castilla-La Mancha University, EIMI Almadén, Plaza Manuel Meca 1, Almadén, 13400 Ciudad Real, Spain; (J.M.E.); (E.M.G.-N.); (P.H.)
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