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Zhang Y, Shang K. Evaluation of mine ecological environment based on fuzzy hierarchical analysis and grey relational degree. ENVIRONMENTAL RESEARCH 2024; 257:119370. [PMID: 38851375 DOI: 10.1016/j.envres.2024.119370] [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: 03/13/2024] [Revised: 06/02/2024] [Accepted: 06/05/2024] [Indexed: 06/10/2024]
Abstract
In order to improve the level of mine ecological environment management and restoration, and to improve and enhance the overall environmental quality of mines. This study takes coal mine as the perspective, and constructs evaluation indexes in two steps, i.e., social network analysis method and relevant policy documents are combined to construct evaluation indexes. The indicator system contains 5 first-level indicators and 23 s-level indicators, and the triangular fuzzy number hierarchical analysis method is introduced to determine the comprehensive weight of each evaluation indicator, which overcomes the inadequacy of the objective empowerment method or the subjective empowerment method of single empowerment. The grey correlation analysis theory is used to establish a grey correlation evaluation model of mine ecological environment, which is applied to the evaluation of ecological environmental protection level of four coal mines in a province of China, making full use of the information of each index for quantitative evaluation, and finally obtaining the evaluated value of ecological environmental protection level of each coal mine. It is demonstrated that the evaluation model can make scientific and effective evaluation of the level of ecological environmental protection in mines. The study concludes that coal mines should pay attention to improving the comprehensive utilization rate of coal gangue in the next mine ecological environment management and restoration, and at the same time, reduce the ton of coal power consumption, ton of coal water consumption, and Increase in vegetation cover. This study provides a useful evaluation method for ecological environment management in mining areas, which is helpful to improve the quality of ecological management in mining areas.
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Affiliation(s)
- Yiming Zhang
- School of Business Administration, Liaoning Technical University, Huludao, 125000, PR China.
| | - Kejian Shang
- School of Business Administration, Liaoning Technical University, Huludao, 125000, PR China
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2
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Tian S, Liu Z, Mao Q, Ye H, Tian C, Zhu Y, Zhang L. Leaching characteristics and environmental impact of heavy metals in tailings under rainfall conditions: A case study of an ion-adsorption rare earth mining area. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 281:116642. [PMID: 38941660 DOI: 10.1016/j.ecoenv.2024.116642] [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: 03/25/2024] [Revised: 06/21/2024] [Accepted: 06/22/2024] [Indexed: 06/30/2024]
Abstract
Following ion-adsorption rare earth mining, the residual tailings experience considerable heavy metal contamination and gradually evolve into a pollution source. Therefore, the leaching characteristics and environmental impact of heavy metals in ion-adsorption rare earth tailings require immediate and thorough investigation. This study adopted batch and column experiments to investigate the leaching behaviour of heavy metals in tailings and assess the impact of tailings on paddy soil, thereby providing a scientific basis for environmental protection in mining areas. The results showed that Mn, Zn, and Pb contents were 431.67, 155.05, and 264.33 mg·kg-1, respectively, which were several times higher than their respective background values, thereby indicating significant heavy metal contamination in the tailings. The batch leaching experiment indicated that Mn and Pb were priority control heavy metals. Heavy metals were divided into fast and slow leaching stages. The Mn and Pb leaching concentrations far exceeded environmental limits. The DoseResp model perfectly fitted the leaching of all heavy metals from the tailings (R2 > 0.99). In conjunction with the findings of the column experiment and correlation analysis, the chemical form, rainfall pH, ammonia nitrogen, and mineral properties were identified as the primary factors controlling heavy metal release from tailings. Rainfall primarily caused heavy metal migration in the acid-extraction form from the tailings. The tailing leachate not only introduced heavy metals into the paddy soil but also caused the transformation of the chemical form of heavy metals in the paddy soil, further exacerbating the environmental risk posed by heavy metals. The study findings are significant for environmental conservation in mining areas and implementing environmentally friendly practices in rare earth mining.
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Affiliation(s)
- Shuai Tian
- Jiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China; School of Resources Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Zuwen Liu
- Jiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China; School of Resources Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; Jiangxi Province Key Laboratory of Environmental Geotechnical Engineering and Hazards Control, Jiangxi University of Science and Technology, Ganzhou 341000, China; National-local Joint Engineering Laboratory of Water Engineering Safety and Efficient Utilization of Resources in Poyang Lake Watershed, Nanchang Institute of Technology, Nanchang 330099, China.
| | - Qing Mao
- Jiangxi Province Key Laboratory of Environmental Geotechnical Engineering and Hazards Control, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Hongmei Ye
- Jiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China; School of Resources Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Changshun Tian
- School of Resources and Architectural Engineering, Gannan University of Science and Technology, Ganzhou 341000, China.
| | - Yichun Zhu
- School of Resources Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; Jiangxi Province Key Laboratory of Environmental Geotechnical Engineering and Hazards Control, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Linan Zhang
- Jiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China; School of Resources Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
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Baidourela A, Cheng S, Halik Ü, Sun Q, Zhayimu K, Zhang C, Cui K, Liu L, Sun G, Baiketuerhan Y, Wang W. Bio-availability of potential trace elements in urban dust, soil, and plants in arid northwest China. INTERNATIONAL JOURNAL OF PHYTOREMEDIATION 2024:1-15. [PMID: 38979644 DOI: 10.1080/15226514.2024.2371916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Potential trace elements pollution in cities poses a threat to the environment and human health. Bio-availability affects toxicity levels of potential trace elementss on organisms. This study focused on exploring the relationship between soil, plant, and atmospheric dust pollution in Urumqi, a typical city in western China. It aims to help reduce pollution and protect residents' health. The following conclusions were drawn: 1) potential trace elementss like Cr, Pb, As, and Ni are more prevalent in atmospheric dust and soil than in plants. Chromium was in the first group, Cadmium and Mercury were in the second, and Plumb, Arsenic, and Nickel were in the third. Atmospheric dust and soil exhibit a significantly higher heavy metal content than plants. For example, The atmospheric dust summary Chromium content was up to 88 mg/kg. 2) Soil, atmospheric dust, and plants have the highest amount of residual form. Residual form had the highest percentage average of 53.3%, whereas Organic matter bound form had the lowest percentage of just 7.7%. The plants contained less residual heavy metal than the soil and atmospheric dust. 3) The correlation coefficient between the carbonated form content of Cd of soil and atmospheric dust is 0.95, which is closely related. Other potential trace elements show similar correlations in their bio-available contents in soil, plants, and atmospheric dust.This study suggests that in urban area, the focus should be on converting potential trace elements into residual form instead of increasing plants' absorption of potential trace elements.
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Affiliation(s)
- Aliya Baidourela
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Sisi Cheng
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Ümüt Halik
- College of Ecology and Environment, Xinjiang University, Urumqi, P.R. China
| | - Qian Sun
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Kahaer Zhayimu
- College of Ecology and Environment, Xinjiang University, Urumqi, P.R. China
| | - Cuifang Zhang
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Kaixu Cui
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Li Liu
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Guili Sun
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Yeerjiang Baiketuerhan
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
| | - Weixia Wang
- College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi, P.R. China
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Li Y, Wang K, Dötterl S, Xu J, Garland G, Liu X. The critical role of organic matter for cadmium-lead interactions in soil: Mechanisms and risks. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:135123. [PMID: 38981228 DOI: 10.1016/j.jhazmat.2024.135123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/24/2024] [Accepted: 07/05/2024] [Indexed: 07/11/2024]
Abstract
Understanding the interaction mechanisms between complex heavy metals and soil components is a prerequisite for effectively forecasting the mobility and availability of contaminants in soils. Soil organic matter (SOM), with its diverse functional groups, has long been a focal point of research interest. In this study, four soils with manipulated levels of SOM, cadmium (Cd) and lead (Pb) were subjected to a 90-day incubation experiment. The competitive interactions between Cd and Pb in soils were investigated using Fourier transform infrared spectrometer (FTIR), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and X-ray adsorption near-edge structure (XANES) analysis. Our results indicate that Pb competed with Cd for adsorption sites on the surface of SOM, particularly on carboxyl and hydroxyl functional groups. Approximately 22.6 % of Cd adsorption sites on humus were occupied by Pb. The use of sequentially extracted exchangeable heavy metals as indicators for environment risk assessments, considering variations in soil physico-chemical properties and synergistic or antagonistic effects between contaminants, provides a better estimation of metal bioavailability and its potential impacts. Integrating comprehensive contamination characterization of heavy metal interactions with the soil organic phase is an important advancement to assess the environmental risks of heavy metal dynamics in soil compared to individual contamination assessments.
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Affiliation(s)
- Yiren Li
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China; Department of Environmental Systems Science, ETH Zürich, Zurich 8092, Switzerland
| | - Kai Wang
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China
| | - Sebastian Dötterl
- Department of Environmental Systems Science, ETH Zürich, Zurich 8092, Switzerland
| | - Jianming Xu
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China
| | - Gina Garland
- Department of Environmental Systems Science, ETH Zürich, Zurich 8092, Switzerland.
| | - Xingmei Liu
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China.
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Zhang P, Hu L, Gao B, Gao F, Zhu X, Li Y, Yao H. Spatial-temporal variation and source analysis of heavy metals in different land use types in Beilun District (2015 and 2022). Sci Rep 2024; 14:15127. [PMID: 38956253 PMCID: PMC11220152 DOI: 10.1038/s41598-024-65811-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/24/2024] [Indexed: 07/04/2024] Open
Abstract
The soil environment plays an important role in urban ecosystems. To study the heavy metal contamination of soil in Beilun District, Ningbo, we collected soil samples from 60 points in urban and peri-urban areas of Beilun District and analyzed the spatiotemporal variation and sources of heavy metal pollution in various land-use types. The results shown that the heavy metal contents in 2015 and 2022 were higher than the background soil values of Ningbo city, and there was an accumulation of heavy metals over these 7 years. The contents of heavy metals in green belts and woodland in 2022 were higher than those in 2015, while there was no significant change in agricultural land. The heavy metal contents in both years were mainly in the order green belts > agricultural land > woodland. The spatiotemporal distribution of heavy metal content showed that heavy metal pollution in Beilun District was concentrated in five industrial areas, and there was a trend toward the disappearance of highly polluted points. But the single-factor pollution index, pollution load index (PLI), and geoaccumulation index (Igeo) indicated that there was no significant heavy metal pollution in Beilun District, and individual elements at specific points showed slight pollution. The source analysis results showed that the main source of Hg is chemical, As is mainly derived from agricultural, Cr, Ni and Cu are mainly derived from natural, the main sources of Zn and Cd are electroplating and machinery activities, and the main source of Pb is traffic. These results specify a reference for future investigation on urban soil heavy metals, and the source apportionment results provide a scientific foundation for subsequent soil heavy metal pollution treatment.
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Affiliation(s)
- Pengwei Zhang
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun), Zhongke Haixi Industry Technology Innovation Center, Ningbo, 315800, China
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China
| | - Lanfang Hu
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun), Zhongke Haixi Industry Technology Innovation Center, Ningbo, 315800, China
| | - Bo Gao
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China
| | - Feng Gao
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun), Zhongke Haixi Industry Technology Innovation Center, Ningbo, 315800, China
| | - Xuchu Zhu
- Beilun Ningbo Environmental Protection Agency, Ningbo, 315800, China
| | - Yaying Li
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun), Zhongke Haixi Industry Technology Innovation Center, Ningbo, 315800, China.
| | - Huaiying Yao
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun), Zhongke Haixi Industry Technology Innovation Center, Ningbo, 315800, China
- School of Environmental Ecology and Biological Engineering, Research Center for Environmental Ecology and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
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Yang L, Yang Y, Wang Y, Liu B, Chen H, You W, Huang B. Fractionation of metals in soil for strawberry cultivation: Effect on metal migration in food chain and application in risk assessment. ENVIRONMENTAL RESEARCH 2024; 252:118840. [PMID: 38570130 DOI: 10.1016/j.envres.2024.118840] [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: 01/16/2024] [Revised: 03/11/2024] [Accepted: 03/29/2024] [Indexed: 04/05/2024]
Abstract
Although trace metals in strawberry production system have attracted growing attention, little is known about metal fractionation in soil for strawberry cultivation. We hypothesized that the metal fractions in soil influenced by strawberry production had significant effect on food chain transport of metals and their risk in soil. Here, samples of strawberries and soil were gathered in the Yangtze River Delta, China to verify the hypothesis. Results showed that the acid-soluble Cr, Cd, and Ni in soil for strawberry cultivation were 21.5%-88.3% higher than those in open field soil, which enhanced uptake and bioaccessible levels of these metals in strawberries. Overall, the ecological, mobility, and health risks of Pb, Zn, Ni, and Cu in soil were at a low level. However, the ecological risk of bioavailable Cd, mobility risk of Cd, and cancer risk of bioavailable Cr in over 70% of the soil samples were at moderate, high, and acceptable levels, respectively. Since the increased acid-soluble Cr and Ni in soil were related to soil acidification induced by strawberry production, nitrogen fertilizer application should be optimized to prevent soil acidification and reduce transfer of Cr and Ni. Additionally, as Cd and organic matter accumulated in soil, the acid-soluble Cd and the ecological and mobility risks of Cd in soil were enhanced. To decrease transfer and risk of Cd in soil, organic fertilizer application should be optimized to mitigate Cd accumulation, alter organic matter composition, and subsequently promote the transformation of bioavailable Cd into residual Cd in soil.
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Affiliation(s)
- Lanqin Yang
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China; School of Emergency Management, Jiangsu University, Zhenjiang, 212013, People's Republic of China; Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatment, Suzhou University of Science and Technology, Suzhou, 215009, People's Republic of China.
| | - Yunxi Yang
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China
| | - Yuanming Wang
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China
| | - Benle Liu
- School of Civil and Hydraulic Engineering, Bengbu University, Bengbu, 233000, People's Republic of China
| | - Hao Chen
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China
| | - Wenhua You
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
| | - Biao Huang
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, People's Republic of China
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Fei X, Lou Z, Sheng M, Lv X, Ren Z, Xiao R. Different "nongrain" activities affect the accumulation of heavy metals and their source-oriented health risks on cultivated lands. ENVIRONMENTAL RESEARCH 2024; 251:118642. [PMID: 38485078 DOI: 10.1016/j.envres.2024.118642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 03/17/2024]
Abstract
"Nongrain" production on cultivated land is one of the primary environmental issues in China. Different "nongrain" activities may introduce different pollution sources to the local environment, leading to variations in heavy metal contents in soil, which can profoundly impact national food security. In this study, three typical "nongrain" regions (Nanxun (NX), Xiaoshan (XS) and Lin'an (LA)) with intensive aquaculture, tea planting and flower (seedling) growth on cultivated land around the Hangzhou metropolitan area were selected to address the spatial heterogeneity of accumulation levels, sources and source-oriented health risks of heavy metals in soil. The results showed that Hg was the main pollutant in NX and XS, while Cd and As were the major contaminants in LA. Aquiculture and sericultural industries (37.43%), natural sources (23.59%) and industrial activities (38.99%) were the major sources in NX; atmospheric deposition (37.73%), flower and seedling planting (23.49%) and metal-related industries (35.16%) were the major sources in XS; and atmospheric deposition (28.06%), excessive application of fertilizers and pesticides during tea planting (43.47%) and natural sources (28.47%) were the major sources in LA. The major risk population, area, exposure route and hazardous elements were children, LA, ingestion and As and Cr, respectively. From the perspective of source-based health risk assessment, in addition to natural sources that are difficult to intervene in, industrial activities, especially leather and wood process industries, metal-related industries and excessive fertilizer and pesticide application during tea planting contributed the most to the total health risk, which explained 67%, 41% and 42%, respectively, of the total risk in NX, XS and LA. High health risks are present in sources with heavy loadings of hazardous heavy metals (As and Cr); thus, to protect human health, the corresponding high-risk anthropogenic pollution sources in different "nongrain" areas need to be controlled.
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Affiliation(s)
- Xufeng Fei
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China.
| | - Zhaohan Lou
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Meiling Sheng
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Xiaonan Lv
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Zhouqiao Ren
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China; Key Laboratory of Information Traceability of Agriculture Products, Ministry of Agriculture and Rural Affairs, China
| | - Rui Xiao
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
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Moreno-Aguirre SB, Vértiz-Osores JJ, Paredes-Espinal CE, Meseth E, Vílchez-Ochoa GL, Espino-Ciudad JA, Flores del Pino L. Ecological risk of metals in Andean water resources: A framework for early environmental assessment of mining projects in Peru. Heliyon 2024; 10:e30739. [PMID: 38765175 PMCID: PMC11101854 DOI: 10.1016/j.heliyon.2024.e30739] [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: 02/11/2024] [Revised: 05/03/2024] [Accepted: 05/03/2024] [Indexed: 05/21/2024] Open
Abstract
Metallic contaminants in Andean water resources influenced by mining activities poses risks to aquatic ecosystems and a challenge to regulatory agencies responsible for environmental compliance. In this study, the Ecological Risk Assessment (ERA) framework was adapted to assess dissolved heavy metal concentrations at 283 surface water monitoring stations near to six mining projects during the dry and wet seasons. Reports from OEFA-Peru on Early Environmental Assessment (EEA) were used to apply various criteria and non-parametric statistical tests. They included ecological, ecotoxicological, chemical, and regulatory factors. The main goal of this research was to identify, analyze, characterize, and compare the risks present at different trophic levels. These levels were categorized as T1 (Microalgae), T2 (Zooplankton and Benthic invertebrates), and T3 (Fish). Individual risk (IR) was estimated using the quotient model, while total risk (TR) was assessed using the additive probability rule. Rainbow trout (Oncorhynchus mykiss), representing trophic level T3, showed the highest sensitivity to Fe and Cu. Statistical tests ranked the IR as Fe > Cu > Zn > Mn > Pb (p < 0.01). The TR was more prevalent during the wet season compared to the dry season (p < 0.01). Notably, around 50 % of the monitoring stations (n = 142) were classified as high risk, and 9 % (n = 13) showed extremely high-risk values for Cu and Fe. The adapted ERA framework demonstrated great effectiveness in identifying critical points of metal contamination in high Andean aquatic ecosystems under mining influence. However, specialized studies are suggested that allow the sources of pollution to be associated with specific regulatory actions.
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Affiliation(s)
- Simón B. Moreno-Aguirre
- Master's Program in Water Resources, Universidad Nacional Agraria La Molina, UNALM, Lima, Peru
| | - Jacinto J. Vértiz-Osores
- Faculty of Engineering and Management, Universidad Nacional Tecnológica de Lima Sur, Villa El Salvador, 15834, Lima, Peru
| | - Christian E. Paredes-Espinal
- Technical Operations Functional Unit (OTEC), Organismo de Evaluación y Fiscalización Ambiental (OEFA), Lima, Peru
| | - Enrique Meseth
- Doctoral Program in Water Resources, Universidad Nacional Agraria La Molina, UNALM, Lima, Peru
- Research Office in Geosciences, Environment and Climate, Asociación Ingenieros para el Desarrollo - Engineers for Development INDEFOD, Paita, Piura, Peru
| | - Guillermo L. Vílchez-Ochoa
- Faculty of Engineering and Management, Universidad Nacional Tecnológica de Lima Sur, Villa El Salvador, 15834, Lima, Peru
| | - Jessica A. Espino-Ciudad
- Technical Operations Functional Unit (OTEC), Organismo de Evaluación y Fiscalización Ambiental (OEFA), Lima, Peru
| | - Lisveth Flores del Pino
- Center for Research in Environmental Chemistry, Toxicology, and Biotechnology, Universidad Nacional Agraria La Molina, Lima, 15024, Peru
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Song B, Xue Y, Yu Z, He Y, Liu Z, Fang J, Wang Y, Adams JM, Hu Y, Razavi BS. Toxic metal contamination effects mediated by hotspot intensity of soil enzymes and microbial community structure. JOURNAL OF HAZARDOUS MATERIALS 2024; 466:133556. [PMID: 38262314 DOI: 10.1016/j.jhazmat.2024.133556] [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: 08/05/2023] [Revised: 01/09/2024] [Accepted: 01/16/2024] [Indexed: 01/25/2024]
Abstract
Metal contamination from mine waste is a widespread threat to soil health. Understanding of the effects of toxic metals from mine waste on the spatial patterning of rhizosphere enzymes and the rhizosphere microbiome remains elusive. Using zymography and high-throughput sequencing, we conducted a mesocosm experiment with mine-contaminated soil, to compare the effects of different concentrations of toxic metals on exoenzyme kinetics, microbial communities, and maize growth. The negative effects of toxic metals exerted their effects largely on enzymatic hotspots in the rhizosphere zone, affecting both resistance and the area of hotspots. This study thus revealed the key importance of such hotspots in overall changes in soil enzymatic activity under metal toxicity. Statistical and functional guild analysis suggested that these enzymatic changes and associated microbial community changes were involved in the inhibition of maize growth. Keystone species of bacteria displayed negative correlations with toxic metals and positive correlations with the activity of enzymatic hotspots, suggesting a potential role. This study contributes to an emerging paradigm, that changes both in the activity of soil enzymes and soil biota - whether due to substrate addition or in this case toxicity - are largely confined to enzymatic hotspot areas.
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Affiliation(s)
- Bin Song
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; University of Helsinki, Department of Forest Sciences, Helsinki, Finland
| | - Yue Xue
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Zhenhua Yu
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 138 Haping Road, Harbin 150081, China
| | - Yucheng He
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Zihao Liu
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Jie Fang
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Yuchao Wang
- Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an Botanical Garden of Shaanxi Province (Institute of Botany of Shaanxi Province), Xi'an 710061, China
| | - Jonathan M Adams
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China.
| | - Youning Hu
- School of Biological and Environmental Engineering, Xi'an University, Xi'an 710065, China.
| | - Bahar S Razavi
- Department of Soil and Plant Microbiome, Institute of Phytopathology, Christian-Albrechts-University of Kiel, Kiel 24118, Germany
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Dong Q, Li Y, Wei X, Jiao L, Wu L, Dong Z, An Y. A city-level dataset of heavy metal emissions into the atmosphere across China from 2015-2020. Sci Data 2024; 11:258. [PMID: 38424081 PMCID: PMC10904851 DOI: 10.1038/s41597-024-03089-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/21/2024] [Indexed: 03/02/2024] Open
Abstract
The absence of nationwide distribution data regarding heavy metal emissions into the atmosphere poses a significant constraint in environmental research and public health assessment. In response to the critical data deficiency, we have established a dataset covering Cr, Cd, As, and Pb emissions into the atmosphere (HMEAs, unit: ton) across 367 municipalities in China. Initially, we collected HMEAs data and covariates such as industrial emissions, vehicle emissions, meteorological variables, among other ten indicators. Following this, nine machine learning models, including Linear Regression (LR), Ridge, Bayesian Ridge (Bayesian), K-Neighbors Regressor (KNN), MLP Regressor (MLP), Random Forest Regressor (RF), LGBM Regressor (LGBM), Lasso, and ElasticNet, were assessed using coefficient of determination (R2), root-mean-square error (RMSE) and Mean Absolute Error (MAE) on the testing dataset. RF and LGBM models were chosen, due to their favorable predictive performance (R2: 0.58-0.84, lower RMSE/MAE), confirming their robustness in modelling. This dataset serves as a valuable resource for informing environmental policies, monitoring air quality, conducting environmental assessments, and facilitating academic research.
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Affiliation(s)
- Qi Dong
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China
- Xiangtan Experimental Station of Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Xiangtan, Hunan, 411199, China
| | - Yue Li
- College of Computer Science, Nankai University, Tianjin, 300350, China
| | - Xinhua Wei
- College of Computer Science, Nankai University, Tianjin, 300350, China
| | - Le Jiao
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China
| | - Lina Wu
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China
| | - Zexin Dong
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China
| | - Yi An
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300071, China.
- Xiangtan Experimental Station of Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Xiangtan, Hunan, 411199, China.
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Chen X, Wong CUI, Zhang H. Analysis and pollution evaluation of heavy metal content in soil of the Yellow River Wetland Reserve in Henan. PeerJ 2023; 11:e16454. [PMID: 38107560 PMCID: PMC10725677 DOI: 10.7717/peerj.16454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/23/2023] [Indexed: 12/19/2023] Open
Abstract
Objective This study aims to assess the contamination levels of six heavy metals, namely arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), and lead (Pb), in the soil of the Henan Yellow River Wetland Reserve. It seeks to reveal the spatial distribution and trends of heavy metal pollution, providing a scientific basis for the rational utilization and effective protection of soil. Additionally, it aims to propose targeted management and remediation recommendations to mitigate or prevent soil pollution. Method A total of 706 soil samples were collected in this area in combination with the land use type map. As and Hg were determined by atomic fluorescence spectrometry, and Cr, Cu, Pb and Cd were determined by inductively coupled plasma mass spectrometry. Taking the soil pollution risk screening value of agricultural land (GB15618-2018) as a reference value, the sample data were statistically analyzed, and the Nemerow comprehensive pollution index method combined with ArcGIS technology was used to evaluate the soil environmental quality. Result The comprehensive pollution index of the soil in the Yellow River Wetland Reserve was 0.42, ranging from 0.17 to 2.38, which was safe and not polluted (I grade). Out of 706 sampling locations, 674 remained uncontaminated, while 26 exhibited cleanliness. Although they were in the warning line, they did not exceed the standard, accounting for 3.68% of the total number of sampling points. Five sample points were slightly polluted, accounting for 0.71% of the total sample points, and one sample point was moderately polluted, accounting for 0.14% of the total sample points. It can be seen that there are few agricultural land pollution points in the Yellow River Wetland Reserve, and the soil environment quality is generally good. Conclusion The soil in the Yellow River Wetland Reserve in Henan has a very small amount of mild and moderate pollution, and there is no severe pollution. The cleanliness is currently high.
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Affiliation(s)
- Xiaolong Chen
- Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China
- Department of Management, Henan Institute of Technology, Xinxiang, China
| | - Cora Un In Wong
- Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China
| | - Hongfeng Zhang
- Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China
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