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Lu Y, Xiao X, Liang Y, Li J, Guo C, Xu L, Liu Q, Xiao Y, Zhou S. Distribution and transformation of potentially toxic elements in cracks under coal mining disturbance in farmland. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:312. [PMID: 39001963 DOI: 10.1007/s10653-024-02107-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: 04/08/2024] [Accepted: 06/28/2024] [Indexed: 07/15/2024]
Abstract
The ground cracks resulting from coal mining activities induce alterations in the physical and chemical characteristics of soil. However, limited knowledge exists regarding the impact of subsidence caused by coal mining on the distribution of potentially toxic elements (PTEs) fractions in farmland soil. In this study, we collected 19 soil profiles at varying depths from the soil surface and at horizontal distances of 0, 1, 2, and 5 m from the vertical crack. Using BCR extraction fractionation, we determined the geochemical fractions and total concentrations of Chromium (Cr), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd) and lead (Pb) to investigate their ecological risk, spatial fraction distribution, and main influencing factors. Results showed that the E r i values of Cd appearing in 68.7% of the samples were higher than 40 and less than 80, presented a moderate ecological risk. Chromium (Cr), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), and lead (Pb) were mainly bound to residual fractions (> 60%) with lower mobility and Cd was dominated by F1 (acid-soluble fractions, 50%) and F2 (reducible fractions, 29%) in surface soil (0-20 cm). The geochemical fractionation revealed that the mobile fractions (F1-acid-soluble and F2-reducible) of PTEs were primarily located near the crack, influenced by available potassium. In contrast, the less mobile fractions (F3-oxidizable and F4-residual) exhibited higher concentrations at distances of 2 and 5 m from the crack, except for arsenic, influenced by the presence of clay particles and available phosphorus.
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Affiliation(s)
- Yin Lu
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, 1 Daxue Road, Xuzhou, 221116, Jiangsu, China
| | - Xin Xiao
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, 1 Daxue Road, Xuzhou, 221116, Jiangsu, China
| | - Yan Liang
- Beijing Invision Ruida Technology Co., Ltd, Huaxia Happiness Entrepreneurship Center, Beijing, 100000, China
| | - Junchi Li
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, 1 Daxue Road, Xuzhou, 221116, Jiangsu, China
| | - Chunying Guo
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, 1 Daxue Road, Xuzhou, 221116, Jiangsu, China
| | - Lili Xu
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, 1 Daxue Road, Xuzhou, 221116, Jiangsu, China
| | - Qingfeng Liu
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, 1 Daxue Road, Xuzhou, 221116, Jiangsu, China
| | - Yu Xiao
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, 1 Daxue Road, Xuzhou, 221116, Jiangsu, China
| | - Shiyuan Zhou
- College of Architecture and Design, China University of Mining and Technology, Xuzhou, 221116, China.
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He L, Wang S, Huang W, Xu J, Dong Y, Chen Z, Liu Q, Ning X. Response of trace elements in urban deposition to emissions in a northwestern river valley type city: 2010-2021. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 913:169547. [PMID: 38160821 DOI: 10.1016/j.scitotenv.2023.169547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 12/17/2023] [Accepted: 12/18/2023] [Indexed: 01/03/2024]
Abstract
Anthropogenic activities release significant quantities of trace elements into the atmosphere, which can infiltrate ecosystems through both wet and dry deposition, resulting in ecological harm. Although the current study focuses on the emission inventory and deposition of trace elements, their complex interactions remain insufficiently explored. In this study, we employ emission inventories and deposition data for eight TEs (Cr, Mn, Ni, Cu, Zn, As, Cd, Pb) in Lanzhou City to unveil the relationship between these two aspects. Emissions in Lanzhou can be roughly divided into two periods centered around 2017. Preceding 2017, industrial production constituted the primary source of TEs emissions except for As; coal combustion was the primary contributor to Cr, Mn, and As emissions; waste incineration played a significant role in As, Zn, and Cd emissions; biomass combustion influenced Cr and Cd emissions; and transportation sources were the predominant contributors to Pb and Cu emissions. With the establishment of waste-to-energy plants and the implementation of ultra-low emission retrofits, emissions from these sources decreased substantially after 2017. Consequently, emissions from industrial production emerged as the main source of TEs. The deposition concentrations of Cr, Mn, Ni, Cu, and Pb followed a similar trend to the emissions. However, Cd and As exhibited lower emissions and a less pronounced response relationship. Moreover, Zn concentrations fluctuated within a narrow range and showed a weaker response to emissions. The consistent changes in emissions and TEs deposition concentrations signify a shift in deposition pollution in Lanzhou city from Coal-fired pollution to that driven by transportation and industrial activities. Within this transition, the industrial production process offers significant potential for emission reduction. This insight provides a crucial foundation for managing TEs pollution and implementing strategies to prevent ecological risks.
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Affiliation(s)
- Liang He
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Shengli Wang
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
| | - Wen Huang
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Jun Xu
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yinwen Dong
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Zhaoming Chen
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Qi Liu
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Xiang Ning
- Technology Research Center for Pollution Control and Remediation of Northwest Soil and Groundwater, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
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Yang Y, Jia M. 3D spatial interpolation of soil heavy metals by combining kriging with depth function trend model. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132571. [PMID: 37778308 DOI: 10.1016/j.jhazmat.2023.132571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/19/2023] [Accepted: 09/16/2023] [Indexed: 10/03/2023]
Abstract
In this study, a hybrid method combining 3D kriging and depth function considering heterogeneity (3DK_DF) was proposed to enhance the accuracy and reliability of 3D spatial interpolation for soil heavy metals. Soil samples collected at varied depth intervals in a mining city in China were used as a case dataset. First, the parameters of a logarithmic depth function model for every horizontal soil sample site were fitted on the basis of the observed values of soil Cd collected at varied depth intervals. Second, the 3D trend of soil Cd was obtained on the basis of the spatial distributions of the parameters of the logarithmic depth function model. Third, 3D kriging was used to generate the 3D spatial distribution of residual Cd. Finally, the 3D spatial distribution of the soil Cd was obtained by combining the 3D trend and residual results. The interpolation accuracy of 3DK_DF improved by 29.71% and 48.9% compared with those of the 3D kriging without a trend analysis and the 3D kriging with a polynomial trend model, respectively. The proposed hybrid 3D interpolation method could be of great significance for the comprehensive assessment of soil heavy metal pollution.
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Affiliation(s)
- Yong Yang
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Soil Environment and Pollution Remediation, China; Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, China.
| | - Mengyao Jia
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Soil Environment and Pollution Remediation, China; Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, China
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Sawarkar R, Shakeel A, Kumar T, Ansari SA, Agashe A, Singh L. Evaluation of plant species for air pollution tolerance and phytoremediation potential in proximity to a coal thermal power station: implications for smart green cities. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7303-7322. [PMID: 37368173 DOI: 10.1007/s10653-023-01667-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 06/13/2023] [Indexed: 06/28/2023]
Abstract
In metropolitan areas, air pollution poses a significant threat, and it is crucial to carefully select plant species that can tolerate such conditions. This requires a scientific approach based on systematic evaluation before recommending them to executive bodies. This study aimed to determine the air pollution tolerance index (APTI), dust retention capacity, and phytoremediation ability of 10 plant species growing in and around a lignite-based coal thermal power station. The results showed that Ficus benghalensis L. had the highest APTI, followed by Mimusops elengi L., Ficus religiosa L., Azadirachta indica A. Juss., and Annona reticulata L. F. benghalensis also showed the highest pH of leaf extract, relative water content, total chlorophyll, and ascorbic acid content, as well as the highest dust capturing capacity. Among the ten plant species, F. benghalensis, M. elengi, F. religiosa, A. indica and F. racemosa were identified as a tolerant group that can be used for particulate matter suppression and heavy metal stabilization in and around thermal power plants. These findings can inform the selection of plants for effective green infrastructure in smart green cities, promoting the health and well-being of urban populations. This research is relevant to urban planners, policymakers, and environmentalists interested in sustainable urban development and air pollution mitigation.
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Affiliation(s)
- Riya Sawarkar
- Environmental Biotechnology and Genomics Division, CSIR-NEERI, Nagpur, 440020, Maharashtra, India
| | - Adnan Shakeel
- Environmental Biotechnology and Genomics Division, CSIR-NEERI, Nagpur, 440020, Maharashtra, India
| | - Tinku Kumar
- Environmental Biotechnology and Genomics Division, CSIR-NEERI, Nagpur, 440020, Maharashtra, India
| | - Suhel Aneesh Ansari
- Environmental Biotechnology and Genomics Division, CSIR-NEERI, Nagpur, 440020, Maharashtra, India
| | - Ashish Agashe
- Environmental Biotechnology and Genomics Division, CSIR-NEERI, Nagpur, 440020, Maharashtra, India
| | - Lal Singh
- Environmental Biotechnology and Genomics Division, CSIR-NEERI, Nagpur, 440020, Maharashtra, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Zhao J, Song S, Zhang K, Li X, Zheng X, Wang Y, Ku G. An investigation into the disturbance effects of coal mining on groundwater and surface ecosystems. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7011-7031. [PMID: 37326776 DOI: 10.1007/s10653-023-01658-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/08/2023] [Indexed: 06/17/2023]
Abstract
Coal mining disturbs surface ecosystems in coal mining subsidence areas. Based on the groundwater-surface composite ecosystem analysis, we constructed an ecological disturbance evaluation index system (18 indices) in a coal mining subsidence area using the analytic hierarchy process (AHP). Taking the Nalinhe mining area in Wushen Banner, China, in 2018-2020 as an example, the weight, ecological disturbance grade and correlation of different indicators were determined by implementing fuzzy mathematics, weighting method, and correlation analysis method. The major conclusions of this review were: (i) After two years of mining, ecological disturbance was the highest in the study area (Grade III) and the lowest in the non-mining area (Grade I). (ii) Coal mining not only directly interfered with the environment, but also strengthened the connection of different ecological indicators, forming multiple ecological disturbance chains such as "mining intensity-mining thickness-buried depth/Mining thickness", "coal mining-surface subsidence-soil chemical factors", and "natural environment-soil physical factors". The disturbance chain that controls the ecological response factors in the region remains to be determined. However, the ecological response factors are the most important factor that hinders the restoration of the ecology in a coal mining subsidence area. (iii) The ecological disturbance in the coal mining subsidence area continued increasing over two years due to coal mining. The ecological disturbance by coal mining cannot be completely mitigated by relying on the self-repair capability of the environment. This study is of great significance for ecological restoration and governance of coal mining subsidence areas.
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Affiliation(s)
- Jiangang Zhao
- School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing, 100083, China
| | - Shuang Song
- School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing, 100083, China
| | - Kai Zhang
- School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing, 100083, China.
| | - Xiaonan Li
- School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing, 100083, China
| | - XinHui Zheng
- School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing, 100083, China
| | - Yajing Wang
- School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing, 100083, China
| | - Gaoyani Ku
- School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing, 100083, China
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Zhang J, Gu H, Chen S, Ai W, Dang Y, Ai S, Li Z. Assessment of heavy metal pollution and preschool children health risk in urban street dusts from different functional areas in a typical industrial and mining city, NW China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7199-7214. [PMID: 37258900 DOI: 10.1007/s10653-023-01623-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 05/16/2023] [Indexed: 06/02/2023]
Abstract
To assess the pollution characteristics and health risks associated with street dust exposure among preschool children in typical industrial and mining areas, we analyzed heavy metal concentrations of 20 urban street dusts in commercial area (CA), residential area (RA), scientific and educational area (SEA) and industrial and mining area (IMA) from Baiyin, NW China. The average concentrations of Cr, Mn, Ni, Cu, Zn, Cd, Pb, As and Hg were 614.96, 484.25, 1757.74, 6868.86, 893.19, 77.62, 1473.99, 15.01 and 0.59 mg·kg-1, respectively. The ecological risk indexes for Cd, Cu and Hg were found as 20,075.20, 1425.07 and 1174.86, respectively, and the ecological risk was extremely high. The pollution load indexes (PLI) were > 1 for all four functional areas. The total hazard index (THI) for different functional areas were more than 1, and the main exposure pathway for children was ingestion route. Heavy metals in street dust of the IMA had the highest THI for children (43.88), and HI of Pb was being most significant (17.38). In addition, the carcinogenic risk to children via the respiratory route was acceptable. Furthermore, factor analysis and cluster analysis classified heavy metals into two groups, indicating common anthropogenic sources for Cr, Ni, Cu, Zn, Cd, Pb, As and Hg. In conclusion, urban street dusts from industrial and mining area of Baiyin, NW China were found polluted by heavy metals and the pollution would pose an obvious non-carcinogenic risk to preschool children.
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Affiliation(s)
- Jinglei Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Huilin Gu
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Shun Chen
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Weichang Ai
- Henan Wildlife Protection Center, Zhengzhou, 450044, China
| | - Yuhui Dang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Shiwei Ai
- School of Public Health, Lanzhou University, Lanzhou, 730000, China.
| | - Zhilan Li
- School of Public Health, Lanzhou University, Lanzhou, 730000, China.
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Gopinathan P, Subramani T, Barbosa S, Yuvaraj D. Environmental impact and health risk assessment due to coal mining and utilization. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:6915-6922. [PMID: 37676435 DOI: 10.1007/s10653-023-01744-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Affiliation(s)
- P Gopinathan
- CSIR-Central Institute of Mining and Fuel Research, Ministry of Science and Technology, Government of India, Dhanbad, Jharkhand, 828108, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India.
| | - T Subramani
- Department of Mining Engineering, College of Engineering Guindy, Anna University, Chennai, Tamil Nadu, 600025, India.
- Department of Geology, College of Engineering Guindy, Anna University, Chennai, Tamil Nadu, 600025, India.
| | - Sofia Barbosa
- Earth Science Department, FCT-NOVA University of Lisbon, 2829-516, Caparica, Portugal
| | - Divya Yuvaraj
- Department of Earth and Environment, Florida International University, Miami, FL, 33199, USA
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