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Han Z, Wang H, Huang X, Song X, Shu Y, Wu J, Sun J, Li R, Fan Z. Determination of soil environmental criteria for high-risk trace metals in urban park soils using improved CLEA model. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:136001. [PMID: 39369681 DOI: 10.1016/j.jhazmat.2024.136001] [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: 07/21/2024] [Revised: 09/23/2024] [Accepted: 09/27/2024] [Indexed: 10/08/2024]
Abstract
The trace metals (TMs) accumulated in urban park soils can pose potential threats to human health, making the management of soil quality based on health risks critically important. Based on the human health risk assessment (HHRA) model coupled with Monte Carlo Simulation, this study improved the contaminated land exposure assessment (CLEA) model. Combined with local parameters, the Soil Environmental Criteria (SEC) for high-risk trace metals (TMs) in urban park soils were calculated. Results indicated that all the mean TCR (Total carcinogenic risk) values of seven TMs exceeded the risk threshold of 1E-06, suggesting a higher likelihood of carcinogenic risks for all populations. As and Cr presented the highest potential carcinogenic risks, and were identified as high-risk TMs in the study area. The traditional CLEA model was enhanced by incorporating region-specific data, optimizing exposure parameter calculations, and addressing parameter sensitivity and uncertainty. Using the improved CLEA model, the SEC values for high-risk TMs were calculated, revealing that the SEC values gradually increased from ages 1 to 18, while significantly decreased for individuals over 80 years old. This study effectively addresses issues of parameter uncertainty and sensitivity in the CLEA model, offering new insights for the development of soil environmental quality standards.
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Affiliation(s)
- Zilin Han
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Huijuan Wang
- 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
| | - Yilan Shu
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Jiaheng Wu
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Jiaxun Sun
- Geographical Sciences, University of Maryland, College Park 20742, United States
| | - Rongxi Li
- Shanghai Academy of Landscape Architecture Science and Planning, Shanghai 200433, China.
| | - Zhengqiu Fan
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
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2
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Shen C, Huang S, Wang M, Wu J, Su J, Lin K, Chen X, He T, Li Y, Sha C, Liu M. Source-oriented health risk assessment and priority control factor analysis of heavy metals in urban soil of Shanghai. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135859. [PMID: 39288525 DOI: 10.1016/j.jhazmat.2024.135859] [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: 07/18/2024] [Revised: 09/05/2024] [Accepted: 09/14/2024] [Indexed: 09/19/2024]
Abstract
The characteristics and ecological risks of heavy metal pollution in urban soils were comprehensively investigated, focusing on 224 typical industries undergoing redevelopment in Shanghai. The PMF (Positive Matrix Factorization) model was used to analyze the sources of soil heavy metals, while the HRA (Health Risk Assessment) model with Monte Carlo simulation assessed health risks to humans. Health risks under different pollution sources were explored, and priority control factors were identified. Results showed that, levels of most heavy metals exceeded Shanghai soil background values. Surface soil concentrations of Cd, Hg, Pb, Cu, Zn, and Ni exceeded the background values of Shanghai's soil to varying degrees, at 5.08, 5.40, 1.81, 1.95, 1.43, and 3.53 times, respectively. Four sources were identified: natural sources (22.23 %), mixed sources from the chemical industry and traffic (26.25 %), metal product sources (36.38 %), and pollution sources from electrical manufacturing and the integrated circuit industry (15.14 %). The HRA model indicated a tolerable carcinogenic risk for adults and children, with negligible non-carcinogenic risk. Potential risk was higher for children than for adult females, and higher for adult females than for adult males, with oral ingestion as the primary exposure pathway. Metal product sources and Ni were identified as primary control factors, suggesting intensified regional control. This study provides theoretical support for urban pollution prevention and control.
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Affiliation(s)
- Cheng Shen
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China; State Environmental Protection Engineering Center for Urban Soil Contamination Control and Remediation, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Shenfa Huang
- Shanghai Technology Center for Reduction of Pollution and Carbon Emissions, Shanghai 200235, China
| | - Min Wang
- State Environmental Protection Engineering Center for Urban Soil Contamination Control and Remediation, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Jian Wu
- Shanghai Technology Center for Reduction of Pollution and Carbon Emissions, Shanghai 200235, China
| | - Jinghua Su
- State Environmental Protection Engineering Center for Urban Soil Contamination Control and Remediation, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Kuangfei Lin
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Xiurong Chen
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China.
| | - Tianhao He
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Ye Li
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Chenyan Sha
- State Environmental Protection Engineering Center for Urban Soil Contamination Control and Remediation, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Min Liu
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China.
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3
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Wang P, Hu J, Zhang Q, Ma W, Tian L, Liu T, Li J, Zheng H, Han G. Sources and health risks of heavy metals in kindergarten dust: The role of particle size. ENVIRONMENTAL RESEARCH 2024; 262:119955. [PMID: 39243844 DOI: 10.1016/j.envres.2024.119955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 08/19/2024] [Accepted: 09/05/2024] [Indexed: 09/09/2024]
Abstract
Particle size effects significantly impact the concentration and toxicity of heavy metals (HMs) in dust. Nevertheless, the differences in concentrations, sources, and risks of HMs in dust with different particle sizes are unclear. Therefore, guided by the definition of atmospheric particulate matter, dust samples with particle sizes under 1000 μm (DT1000), 100 μm (DT100), and 63 μm (DT63) from Beijing kindergartens were collected. The concentrations of HMs (e.g., Cd, Pb, Zn, Ni, Cr, Ba, Cu, V, Mn, Co, and Ti) in dust samples with different particle sizes were measured. Besides, the differences in HM concentrations, contamination levels, sources, and source-oriented health risks in dust samples of different particle sizes were systematically explored. The results show that the concentrations of Mn, V, Zn, and Cd gradually increase with decreasing dust particle sizes, the concentrations of Ba and Pb show a decreasing trend, and the concentrations of Cr, Cu, Ni, and Co display an increasing and then decreasing trend. The degree of contamination of HMs in dust of different particle sizes varies, with Cd being the most dominant contaminant. Compared with DT1000 and DT63, DT100 is the most polluted. In addition, the sources of HMs in DT1000, DT100, and DT63 become more single with decreasing particle size, which may be mainly due to the particle-size effect inducing the redistribution of HMs in different sources. Notably, the potential health risk is higher in DT100 than in DT1000 and DT63. The highest contribution of industrial sources to the health risk is found in DT100, which is mainly caused by highly toxic chromium (Cr). This work emphasizes the importance of considering particle size in risk assessment and pollution control, which can provide a theoretical basis for precise management of HMs pollution in dust.
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Affiliation(s)
- Peng Wang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geo sciences, (Beijing), Beijing, 100083, PR China; Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, 100083, PR China; The State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China
| | - Jian Hu
- The State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China.
| | - Qian Zhang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China
| | - Wenmin Ma
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geo sciences, (Beijing), Beijing, 100083, PR China; Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, 100083, PR China
| | - Liyan Tian
- Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China
| | - Tingyi Liu
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, 300387, PR China
| | - Jun Li
- The State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Houyi Zheng
- China National Administration of Coal Geology, Beijing, 100038, PR China
| | - Guilin Han
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geo sciences, (Beijing), Beijing, 100083, PR China; Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, 100083, PR China
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Liu P, Han X, Chao S, Lu X, Wang Z, Yang Y, Fan X, Yu B, Lei K. Identification of priority factors for risk control of trace toxic elements in surface resuspended dust of university campuses. Sci Rep 2024; 14:29366. [PMID: 39592801 PMCID: PMC11599780 DOI: 10.1038/s41598-024-80846-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 11/21/2024] [Indexed: 11/28/2024] Open
Abstract
The surface resuspended dust (SRD) that accumulates trace toxic elements (TTEs) can be suspended in the atmosphere and can be transported to other areas, such as campuses, through airflow. The risks and sources of TTEs in university campus SRD have not been thoroughly explored, especially the priority factors for TTEs pollution and risk control in the SRD. Taking Xi'an as a case, this study quantitatively apportioned the sources of TTEs in the SRD of university campuses using positive matrix factorization method, evaluated the ecological and health risks of the specific-source TTEs in the SRD using Monte Carlo simulation method, and determined the priority factors for risk control of TTEs in the SRD. We found that the pollution of Zn, Pb, and Cu in the SRD was severe, with significantly high to very high enrichment levels. The comprehensive pollution of TTEs in the SRD was high to extremely high levels, with Pb and Zn as the main contributors. The four sources of TTEs identified in the SRD were traffic exhaust, traffic non-exhaust, mixed, and natural sources, accounting for 19.1%, 43.3%, 11.2%, and 26.3% of the total TTE concentrations, respectively. The ecological risk of TTEs was quite serious, mainly caused by traffic exhaust Pb. TTEs in the SRD had a certain cancer risk to college students, mainly contributed by traffic exhaust. Traffic exhaust source is the main factor that needs to be controlled.
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Affiliation(s)
- Purui Liu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Xiufeng Han
- College of Ecology and Environment, Baotou Teachers' College, Baotou, 014000, China
| | - Shigang Chao
- Qinghai Research and Design Institute of Environmental Science, Xining, 810007, China
| | - Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China.
| | - Zhenze Wang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Xinyao Fan
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an, 710065, China
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5
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Uddin R, Hopke PK, Van Impe J, Sannigrahi S, Salauddin M, Cummins E, Nag R. Source identification of heavy metals and metalloids in soil using open-source Tellus database and their impact on ecology and human health. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 953:175987. [PMID: 39244067 DOI: 10.1016/j.scitotenv.2024.175987] [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: 07/13/2024] [Revised: 08/30/2024] [Accepted: 08/31/2024] [Indexed: 09/09/2024]
Abstract
The presence of heavy metals and metalloids (metal(loid)s) in the food chain is a global problem, and thus, metal(loid)s are considered to be Potentially Toxic Elements (PTEs). Arsenic (As), lead (Pb), mercury (Hg), and cadmium (Cd) are identified as prominent hazards related to human health risks throughout the food chain. This study aimed to carry out a source attribution for metal(loid)s in shallow topsoil of north-midlands, northwest, and border counties of the Republic of Ireland, followed by an assessment of the potential ecological and human health risks. The positive Matrix Factorization (PMF) was used for source characterization of PTEs, followed by the Monte Carlo simulation method, used for a probabilistic model to evaluate potential human health risks. The mean concentrations of prioritized metal(loid)s in the topsoil range in the order of Pb (28.83 mg kg-1) > As (7.81 mg kg-1) > Cd (0.51 mg kg-1) > Hg (0.11 mg kg-1) based on the open-source Tellus dataset. This research identified three primary sources of metal(loid) pollution: geogenic sources (36 %), mixed sources of historical mining and natural origin (33 %), and anthropogenic activities (31 %). The ecological risk assessment showed that Ireland's soil exhibits low-moderate pollution levels however, concerns remain for Cd and As levels. All metal(loid)s except Cd showed acceptable non-carcinogenic risk, while Cd and As accounted for high to moderate potential cancer risks. Potato consumption (if grown on land with elevated metal(loid) levels), Cd concentration in soil, and bioaccumulation factor of Cd in potatoes were the three most sensitive parameters. In conclusion, metal(loid)s in Ireland present low to moderate ecological and human health risks. It underscores the need for policies and remedial strategies to monitor metal(loid) levels in agricultural soil regularly and the production of crops with low bioaccumulation in regions with elevated metal(loid) levels.
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Affiliation(s)
- Rayhan Uddin
- UCD School of Biosystems and Food Engineering, Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland.
| | - Philip K Hopke
- Institute for a Sustainable Environment, Clarkson University, Box 5708, Potsdam, NY 13699, USA.
| | - Jan Van Impe
- Department of Chemical Engineering, BioTeC + Chemical and Biochemical Process Technology and Control, KU Leuven, 9000 Gent, Belgium.
| | - Srikanta Sannigrahi
- UCD School of Geography, Newman Building, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland.
| | - Md Salauddin
- UCD School of Civil Engineering, Richview Newstead, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland.
| | - Enda Cummins
- UCD School of Biosystems and Food Engineering, Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland.
| | - Rajat Nag
- UCD School of Biosystems and Food Engineering, Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland.
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6
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Pang K, Luo K, Zhang S, Hao L. Source-oriented health risk assessment of groundwater based on hydrochemistry and two-dimensional Monte Carlo simulation. JOURNAL OF HAZARDOUS MATERIALS 2024; 479:135666. [PMID: 39217947 DOI: 10.1016/j.jhazmat.2024.135666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 08/02/2024] [Accepted: 08/25/2024] [Indexed: 09/04/2024]
Abstract
Accurately assessing the health risks posed by major contaminants is essential for protecting groundwater. However, the complexity of pollution sources and the uncertainty of parameters pose challenges for quantitative health risk assessment. In this study, a source-oriented groundwater risk evaluation process was improved by screening key pollutants, employing a combined hydrochemical and positive matrix factorization (PMF) approach for source apportionment, and incorporating two-dimensional Monte Carlo simulation for risk characterization. The application of this process to groundwater assessment in Central Jiangxi Province identified NO3-, F-, Se and Mn as the key pollutants. The pollution sources were anthropogenic activities, rock dissolution, regional geological processes, and ion exchange. Anthropogenic sources contributed 36.8 % and 28.8 % of the pollution during the wet season and dry season, respectively, and accounted for more than half of the health risks. NO3- from anthropogenic sources was the primary controlling pollutant. Additionally, the risk assessment indicated that children were at the highest health risk during the dry season, with ingestion rate suggested to be controlled below 1.062 L·day-1 to make the health risk within an acceptable range. The improved assessment methodology could provide more accurate results and recommended intakes.
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Affiliation(s)
- Kuo Pang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kunli Luo
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Shixi Zhang
- School of Geosciences and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Litao Hao
- College of New Energy and Environment, Jilin University, Changchun 130012, China
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7
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Guo M, Gao S, Wu Q, Xia H, Wu P, Zeng J, Wang W. Dissolved trace elements in the upper reaches of Lancang River, southeast Qinghai-Tibet Plateau: Current status and distribution, risk and source. ENVIRONMENTAL RESEARCH 2024; 260:119749. [PMID: 39117057 DOI: 10.1016/j.envres.2024.119749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 07/20/2024] [Accepted: 08/04/2024] [Indexed: 08/10/2024]
Abstract
The environmental impact of dissolved trace element (DTE) pollution is becoming increasingly well understood. The southeastern edge of the Qinghai-Tibet Plateau is a region with high environmental vulnerability, making it highly susceptible to various anthropogenic disturbances. The Lancang River (LCR), as the most representative river in this area, serving as the largest international river in Southeast Asia, the LCR is crucial for the downstream regions, supporting fisheries, agriculture, and even economic development, earning it the title of the "water tower" for these areas. This study mainly focuses on the upstream unbuilt dam area. In this study, we gathered 25 surface water samples from the upstream of the LCR and examined the geographical distribution, primary sources, and associated human health risks of seven dissolved trace elements (Mn, Cr, Fe, Co, Cu, Ni, Zn). Cr, Fe, Co, Ni, and Cu in the main stream are primarily associated with natural sources, including rock weathering, soil erosion, and similar processes. Mn, however, predominantly originates from human activities such as industrial construction and road transportation. Zn mainly originates from the specialized fertilizers used for highland barley in plateau regions. Almost all DTE concentrations exhibited a downward trend from upstream to downstream. However, due to inputs from various sources along the way, there will be some abnormal points. The concentrations of DTE in the study area were within the acceptable limits set by drinking water standards in China, the USA, and the WHO. Overall, the water quality in this region is considered good. The results from a Monte Carlo simulation assessing health risks indicate that the non-carcinogenic health risk caused by DTE in the upper reaches of Lancang River was very weak. The primary pathway through which DTE can harm human health is ingestion, with children being particularly vulnerable. These findings offer a critical scientific basis for understanding the migration of DTE in aquatic environments and for the ecological stewardship of the Lancang River.
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Affiliation(s)
- Mingzhe Guo
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025, China
| | - Shilin Gao
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025, China
| | - Qixin Wu
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025, China.
| | - Hao Xia
- Power China GuiYang Engineering Corporation Limited, Guiyang, 550081, China.
| | - Pan Wu
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025, China
| | - Jie Zeng
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025, China
| | - Wanfa Wang
- Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025, China
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8
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Song J, Xu R, Li D, Jiang S, Cai M, Xiong J. Source apportionment and ecological risk assessment of antibiotics in Dafeng River Basin using PMF and Monte-Carlo simulation. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:479. [PMID: 39412531 DOI: 10.1007/s10653-024-02252-4] [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: 06/12/2024] [Accepted: 09/28/2024] [Indexed: 11/20/2024]
Abstract
Antibiotics, prevalent in aquatic ecosystems, pose a grave threat to human health and the ecological well-being. This paper performed a case study on Dafeng River Basin in southern China. Specifically, techniques including positive matrix factorization (PFM) and Monte-Carlo simulation were employed to comprehensively investigate the spatial variations, possible sources, and ecological risks of antibiotics in four groups: sulfonamides (SAs), macrolides (MLs), quinolones (QNs), and tetracyclines (TCs). The major findings were as follows: first, 43 and 39 antibiotics were detected in the surface water and sediments of the basin, respectively, where the respective total content were ND-490.08 ng/L and ND-144.34 μg/kg, and the QNs and TCs were the two dominating groups. Second, the highest antibiotic content in surface water (441.43 ng/L) was observed in the midstream area, whereas the highest concentration in sediments (68.41 μg/kg) was found in the upstream region. Third, the investigation identified five sources of antibiotics discharged to surface water: domestic sewage, agricultural drainage, livestock discharge, sewage treatment plants, and aquaculture; three sources were detected for antibiotics in sediments: aquaculture, sewage treatment plants, and livestock discharge. Fourth, QNs had a significantly higher ecological risk than the other three groups of antibiotics, and livestock discharge (31.4% contribution) and aquaculture (23.4% contribution) were the main sources of risks of antibiotic contamination in Dafeng River Basin. This study is expected to provide some reference for control and risk management of antibiotic pollution in Dafeng River Basin.
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Affiliation(s)
- Jinqiu Song
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China
| | - Rongle Xu
- Scientific Research Academy of Guangxi Environmental Protection, Nanning, 530022, China
| | - Denghui Li
- Scientific Research Academy of Guangxi Environmental Protection, Nanning, 530022, China
| | - Shuaifeng Jiang
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China
| | - MaoMao Cai
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China
| | - Jianhua Xiong
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China.
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Wang X, Gao Q, Wang W, Yan J, Liu Y, Kuang S, Lu J. Determining priority control factors for heavy metal management in urban road dust based on source-oriented probabilistic ecological-health risk assessment: A study in Xi'an during peak pollution season. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 369:122105. [PMID: 39213844 DOI: 10.1016/j.jenvman.2024.122105] [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: 05/16/2024] [Revised: 06/24/2024] [Accepted: 08/03/2024] [Indexed: 09/04/2024]
Abstract
Urban road dust (URD) is essential for transporting heavy metals (HMs), which can be a major danger to both the environment and human health. Moreover, URD has the potential to be carried into bodies of water, leading to contamination of the aquatic ecosystem. A study was conducted in Xi'an, a city in northwestern China known for high air pollution levels, during January 2024 - a period characterized by peak pollution due to frequent low wind speeds and temperature inversions. The research investigated the presence of 10 types of HMs (Cu, Zn, Cd, Cr, Pb, As, Ni, Hg, Co, and Mn) in URD. Findings revealed elevated levels of Cu, Zn, Cd, Cr, Pb, As, and Hg in URD compared to background levels. Hg showed the most significant contamination (moderate to heavy), followed by moderate contamination of Cd, and lower levels of As, Zn, and Cu. The main sources of HMs were traffic (58.2%), mixed natural and industrial (30.3%), and industrial (11.5%). The ecological risk in the area was deemed to be very high, primarily because of Hg and Cd. Based on probabilistic health risk assessments, it was determined that non-carcinogenic risks were deemed acceptable for all groups. Nevertheless, the possibility of carcinogenic risks should not be disregarded. Strategies for controlling ecological-health risks prioritize mixed natural and industrial sources, with a focus on Hg, Cd, and As in URD. The results offer a foundation for policymakers to create specific control strategies.
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Affiliation(s)
- Xuan Wang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; State Key Laboratory of Green Building in West China, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Qi Gao
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Weizhou Wang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Jiaxin Yan
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Yunchong Liu
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Shixiang Kuang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Jinsuo Lu
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; State Key Laboratory of Green Building in West China, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
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Duan H, Wang Y, Shen H, Ren C, Li J, Li J, Wang Y, Su Y. Source-specific probabilistic health risk assessment of dust PAHs in urban parks based on positive matrix factorization and Monte Carlo simulation. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:451. [PMID: 39316207 DOI: 10.1007/s10653-024-02236-4] [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: 06/30/2024] [Accepted: 09/16/2024] [Indexed: 09/25/2024]
Abstract
Understanding the health risks of polycyclic aromatic hydrocarbons (PAHs) in dust from city parks and prioritizing sources for control are essential for public health and pollution management. The combination of Source-specific and Monte Carlo not only reduces management costs, but also improves the accuracy of assessments. To evaluate the sources of PAHs in urban park dust and the possible health risks caused by different sources, dust samples from 13 popular parks in Kaifeng City were analyzed for PAHs using gas chromatograph-mass spectrometer (GC-MS). The results showed that the surface dust PAH content in the study area ranged from 332.34 µg·kg-1 to 7823.03 µg·kg-1, with a mean value of 1756.59 µg·kg-1. Nemerow Composite Pollution Index in the study area ranged from 0.32 to 14.41, with a mean of 2.24, indicating that the overall pollution warrants attention. Four pollution sources were identified using the positive matrix factorization (PMF) model: transportation source, transportation-coal and biomass combustion source, coke oven emission source, and petroleum source, with contributions of 33.74%, 25.59%, 22.14%, and 18.54%, respectively. The Monte Carlo cancer risk simulation results indicated that park dust PAHs pose a potential cancer risk to all three populations (children, adult male and adult female). Additionally, the cancer risk for children was generally higher than that for adult males and females, with transportation sources being the main contributor to the carcinogenic risk. Lastly, sensitivity analyses results showed that the toxic equivalent concentration (CS) is the parameter contributing the most to carcinogenic risk, followed by Exposure duration (ED).
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Affiliation(s)
- Haijing Duan
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China
| | - Yanfeng Wang
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China
| | - Haoxin Shen
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China
| | - Chong Ren
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China
| | - Jing Li
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China
| | - Jiaheng Li
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China
| | - Yangyang Wang
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China
| | - Yanxia Su
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China.
- National Demonstration Center for Environmental and Planning, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
- Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng, 475004, China.
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Cui S, Yu W, Han X, Hu T, Yu M, Liang Y, Guo S, Ma J, Teng L, Liu Z. Factors influencing the distribution, risk, and transport of microplastics and heavy metals for wildlife and habitats in "island" landscapes: From source to sink. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:134938. [PMID: 38901262 DOI: 10.1016/j.jhazmat.2024.134938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/04/2024] [Accepted: 06/14/2024] [Indexed: 06/22/2024]
Abstract
Microplastics (MPs) and heavy metals (HMs) are important pollutants in terrestrial ecosystems. In particular, the "island" landscape's weak resistance makes it vulnerable to pollution. However, there is a lack of research on MPs and HMs in island landscapes. Therefore, we used Helan Mountain as the research area. Assess the concentrations, spatial distribution, ecological risks, sources, and transport of MPs and HMs in the soil and blue sheep (Pseudois nayaur) feces. Variations in geographical distribution showed a connection between human activity and pollutants. Risk assessment indicated soil and wildlife were influenced by long-term pollutant polarization and multi-element inclusion (Igeo, Class I; PHI, Class V; RI (MPs), 33 % Class II, and 17 % Class IV; HI = 452.08). Source apportionment showed that tourism and coal combustion were the primary sources of pollutants. Meanwhile, a new coupling model of PMF/Risk was applied to quantify the source contribution of various risk types indicated transportation roads and tourism sources were the main sources of ecological and health risks, respectively. Improve the traceability of pollution source risks. Furthermore, also developed a novel tracing model for pollutant transportation, revealing a unique "source-sink-source" cycle in pollutant transportation, which provides a new methodological framework for the division of pollution risk areas in nature reserves and the evaluation of spatial transport between sources and sinks. Overall, this study establishes a foundational framework for conducting comprehensive risk assessments and formulating strategies for pollution control and management.
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Affiliation(s)
- Shuang Cui
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Wei Yu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - XingZhi Han
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Tianhua Hu
- Ningxia Helan Mountain National Nature Reserve Administration, Yinchuan 750021, China
| | - Mengqi Yu
- Forest Pest Control and Quarantine Station of Ningxia Hui Autonomous Region, Yinchuan 750021, China
| | - Yongliang Liang
- Ningxia Helan Mountain National Nature Reserve Administration, Yinchuan 750021, China
| | - Songtao Guo
- The College of Life Sciences, Northwest University, Shaanxi Key Laboratory for Animal Conservation, Xi'an 710069, China
| | - Jinlian Ma
- Inner Mongolia Helan Mountain National Natural Nature Reserve Administration, Alxa League, 750306, China
| | - Liwei Teng
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Conservation Biology, National Forestry and Grassland Administration, Harbin 150040, China.
| | - Zhensheng Liu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Conservation Biology, National Forestry and Grassland Administration, Harbin 150040, China.
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Zhang Y, Lu X, Han X, Zhu T, Yu B, Wang Z, Lei K, Yang Y, Deng S. Determination of contamination, source, and risk of potentially toxic metals in fine road dust in a karst region of Southwest China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:403. [PMID: 39196318 DOI: 10.1007/s10653-024-02191-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 08/23/2024] [Indexed: 08/29/2024]
Abstract
Understanding the pollution situation of potentially toxic metals (PTMs) in fine road dust (FRD) in emerging industrialized cities and identifying priority control factors is crucial for urban environmental management, resident health protection, and pollution control. This study conducted a comprehensive investigation on PTMs pollution in FRD in Zunyi, a representative emerging industrialized city in the karst region of southwestern China. The average contents of Ni, Cr, Mn, Cu, Zn, Ba, Pb, V, and Co in the FRD were 43.2, 127.0, 1232.1, 134.4, 506.6, 597.8, 76.1, 86.8, and 16.2 mg kg-1, respectively, which were obviously higher than the corresponding background levels of the local soil except for V and Co. The comprehensive pollution level of the determined PTMs in the FRD was very high, primarily caused by Zn and Cu. The sources of PTMs in Zunyi FRD were traffic, industrial, construction, and natural sources, accounting for 38.0, 23.7, 21.9, and 16.4% of the total PTMs content, respectively. The PTMs in Zunyi FRD exhibited a low to moderate overall ecological risk level, mainly contributed by Cu and traffic source. The cancer risks of PTMs in Zunyi FRD were high for all populations. The non-carcinogenic risk of PTMs in Zunyi FRD was acceptable for adults, but cannot be ignored for children. According to the source-specific probabilistic health risk estimation results, the priority control source is industrial source and the priority control PTM is Cr. Local governments need to give more attention to the carcinogenic risks and health hazards posed by PTMs in the FRD.
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Affiliation(s)
- Yingsen Zhang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China.
| | - Xiufeng Han
- College of Resources and Environment, Baotou Normal College, Baotou, 014030, China.
| | - Tong Zhu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Zhenze Wang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an, 710065, China
| | - Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Sijia Deng
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
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Yang Y, Lu X, Yu B, Wang Z, Wang L, Lei K, Zuo L, Fan P, Liang T. Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model. JOURNAL OF HAZARDOUS MATERIALS 2024; 473:134708. [PMID: 38795490 DOI: 10.1016/j.jhazmat.2024.134708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/13/2024] [Accepted: 05/22/2024] [Indexed: 05/28/2024]
Abstract
The environmental pollution caused by mineral exploitation and energy consumption poses a serious threat to ecological security and human health, particularly in resource-based cities. To address this issue, a comprehensive investigation was conducted on potentially toxic elements (PTEs) in road dust from different seasons to assess the environmental risks and influencing factors faced by Datong City. Multivariate statistical analysis and absolute principal component score were employed for source identification and quantitative allocation. The geo-accumulation index and improved Nemerow index were utilized to evaluate the pollution levels of PTEs. Monte Carlo simulation was employed to assess the ecological-health risks associated with PTEs content and source orientation. Furthermore, geo-detector and random forest analysis were conducted to examine the key environmental variables and driving factors contributing to the spatiotemporal variation in PTEs content. In all PTEs, Cd, Hg, and Zn exhibited higher levels of content, with an average content/background value of 3.65 to 4.91, 2.53 to 3.34, and 2.15 to 2.89 times, respectively. Seasonal disparities were evident in PTEs contents, with average levels generally showing a pattern of spring (winter) > summer (autumn). PTEs in fine road dust (FRD) were primarily influenced by traffic, natural factors, coal-related industrial activities, and metallurgical activities, contributing 14.9-33.9 %, 41.4-47.5 %, 4.4-8.3 %, and 14.2-29.4 % to the total contents, respectively. The overall pollution and ecological risk of PTEs were categorized as moderate and high, respectively, with the winter season exhibiting the most severe conditions, primarily driven by Hg emissions from coal-related industries. Non-carcinogenic risk of PTEs for adults was within the safe limit, yet children still faced a probability of 4.1 %-16.4 % of unacceptable risks, particularly in summer. Carcinogenic risks were evident across all demographics, with children at the highest risk, mainly due to Cr and smelting industrial sources. Geo-detector and random forest model indicated that spatial disparities in prioritized control elements (Cr and Hg) were primarily influenced by particulate matter (PM10) and anthropogenic activities (industrial and socio-economic factors); variations in particulate matter (PM10 and PM2.5) and meteorological factors (wind speed and precipitation) were the primary controllers of seasonal disparities of Cr and Hg.
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Affiliation(s)
- Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
| | - Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Zhenze Wang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an 710065, China
| | - Ling Zuo
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Peng Fan
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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Li JL, Gan CD, Du XY, Yuan XY, Zhong WL, Yang MQ, Liu R, Li XY, Wang H, Liao YL, Wang Z, Xu MC, Yang JY. Distribution, risk evaluation, and source allocation of cesium and strontium in surface soil in a mining city. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:270. [PMID: 38954122 DOI: 10.1007/s10653-024-02046-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 05/21/2024] [Indexed: 07/04/2024]
Abstract
Radioactive nuclides cesium (Cs) and strontium (Sr) possess long half-lives, with 135Cs at approximately 2.3 million years and 87Sr at about 49 billion years. Their persistent accumulation can result in long-lasting radioactive contamination of soil ecosystems. This study employed geo-accumulation index (Igeo), pollution load index (PLI), potential ecological risk index (PEPI), health risk assessment model (HRA), and Monte Carlo simulation to evaluate the pollution and health risks of Cs and Sr in the surface soil of different functional areas in a typical mining city in China. Positive matrix factorization (PMF) model was used to elucidate the potential sources of Cs and Sr and the respective contribution rates of natural and anthropogenic sources. The findings indicate that soils in the mining area exhibited significantly higher levels of Cs and Sr pollution compared to smelting factory area, agricultural area, and urban residential area. Strontium did not pose a potential ecological risk in any studied functional area. The non-carcinogenic health risk of Sr to the human body in the study area was relatively low. Because of the lack of parameters for Cs, the potential ecological and human health risks of Cs was not calculated. The primary source of Cs in the soil was identified as the parent material from which the soil developed, while Sr mainly originated from associated contamination caused by mining activities. This research provides data for the control of Cs and Sr pollution in the surface soil of mining city.
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Affiliation(s)
- Jia-Li Li
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China
| | - Chun-Dan Gan
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China
| | - Xin-Yue Du
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China
| | - Xue-Ying Yuan
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Wen-Lin Zhong
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China
| | - Meng-Qi Yang
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Rui Liu
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China
| | - Xiao-Yu Li
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China
| | - Hao Wang
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China
- College of Forestry, Northeast Forestry University, Haerbin, 150000, China
| | - Yu-Liang Liao
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Zheng Wang
- College of Civil Engineering, Northwest Minzu University, Lanzhou, 730000, China
| | - Mu-Cheng Xu
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Jin-Yan Yang
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, 644000, China.
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Zhao Z, Li S, Li Y. Controlling factors and sources-specific ecological risks associated with toxic metals in core sediments from cascade reservoirs in Southwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 924:171570. [PMID: 38460694 DOI: 10.1016/j.scitotenv.2024.171570] [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: 12/27/2023] [Revised: 02/27/2024] [Accepted: 03/06/2024] [Indexed: 03/11/2024]
Abstract
Toxic metals (TMs) in reservoir sediments pose significant risks to ecosystem security and human safety, yet their presence in the cascade reservoirs of the Lancang River remains understudied. This research examined TMs in core sediments from the Manwan (MW) and Dachaoshan (DCS) cascade reservoirs, aiming to elucidate contamination characteristics, controlling factors, and source-specific ecological risks. The study revealed that the concentrations of As, Cd, Cr, Cu, Hg, Ni, and Zn in the MW Reservoir (37.3, 0.54, 95.1, 44.0, 0.09, 44.8, and 135.7 mg/kg) were notably higher compared to the DCS Reservoir (14.6, 0.30, 82.6, 31.0, 0.08, 36.6, and 108.7 mg/kg). While both reservoirs demonstrated elevated contamination levels of Cd and Hg, the MW Reservoir also exhibited high levels of As, whereas the DCS Reservoir showed relatively high levels of Pb. Mining activities in upstream metal deposits significantly correlated Cd, Hg, and Zn in the MW Reservoir with sulfur. In both reservoir sediments, Cr and Ni displayed a greater affinity for iron oxides, while As, Cd, Cu, Hg, and Zn showed more affinity with manganese oxides. Ecological risk index (RI) values in half of the sediments from the MW Reservoir ranged from 300 to 600, denoting a significant ecological risk. Conversely, in the DCS Reservoir, 93.3 % of the sediments exhibited RI values between 150 and 300, signifying a moderate ecological risk. Source-oriented ecological risks highlighted the need for particular attention to Cd from anthropogenic sources in the MW Reservoir. These findings underscore the importance of implementing measures for TM contamination prevention and control, contributing to strategic planning for sustainable water resource management in the Lancang-Mekong River.
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Affiliation(s)
- Zhenjie Zhao
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 550025, China; State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China; Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, Guizhou Medical University, Guiyang 550025, China
| | - Shehong Li
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China.
| | - Yunlong Li
- Shandong Institute of Geophysical and Geochemical Exploration, Jinan 250013, China
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Zhou Y, Ding D, Zhao Y, Li Q, Jiang D, Lv Z, Wei J, Zhang S, Deng S. Determining priority control toxic metal for different protection targets based on source-oriented ecological and human health risk assessment around gold smelting area. JOURNAL OF HAZARDOUS MATERIALS 2024; 468:133782. [PMID: 38387175 DOI: 10.1016/j.jhazmat.2024.133782] [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: 10/26/2023] [Revised: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024]
Abstract
Determining the priority control source and pollutant is the key for the eco-health protection and risk management around gold smelting area. To this end, a case study was conducted to explore the pollution characteristics, source apportionment, ecological risk and human health risk of toxic metals (TMs) in agricultural soils surrounding a gold smelting enterprise. Three effective receptor models, including positive matrix factorization model (PMF), ecological risk assessment (ERA), and probabilistic risk assessment (PRA) have been combined to apportion eco-human risks for different targets. More than 95.0% of samples had a Nemerow pollution index (NPI) > 2 (NPImean=4.27), indicating moderately or highly soil TMs contamination. Four pollution sources including gold smelting activity, mining source, agricultural activity and atmosphere deposition were identified as the major sources, with the contribution rate of 17.52%, 44.16%, 13.91%, and 24.41%, respectively. For ecological risk, atmosphere deposition accounting for 30.8% was the greatest contributor, which was mainly loaded on Hg of 51.35%. The probabilistic health risk assessment revealed that Carcinogenic risks and Non-carcinogenic risks of all population were unacceptable, and children suffered from a greater health risk than adults. Gold smelting activity (69.2%) and mining source (42.0%) were the largest contributors to Carcinogenic risks and Non-carcinogenic risks, respectively, corresponding to As and Cr as the target pollutants. The priority pollution sources and target pollutants were different for the eco-health protection. This work put forward a new perspective for soil risk control and management, which is very beneficial for appropriate soil remediation under limited resources and costs.
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Affiliation(s)
- Yan Zhou
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Da Ding
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Yuanchao Zhao
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Qun Li
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Dengdeng Jiang
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Zhengyong Lv
- NJSOIL Ecology & Environmental Co, Ltd., Nanjing 211100, China
| | - Jing Wei
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Shengtian Zhang
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Shaopo Deng
- Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China.
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17
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Wang C, Wang W, Shao S, Deng W, Wang C, Liu X, Li H, Wen M, Zhang X, Li G, An T. Occurrence of BTX and PAHs in underground drinking water of coking contaminated sites: Linkage with altitude and health risk assessment by boiling-modified models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170407. [PMID: 38296073 DOI: 10.1016/j.scitotenv.2024.170407] [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: 10/19/2023] [Revised: 01/06/2024] [Accepted: 01/22/2024] [Indexed: 02/05/2024]
Abstract
The safety of underground drinking water has received widespread attention. However, few studies have focused on the occurrence and health risks of pollutants in underground drinking water of coking contaminated sites. In this study, the distribution characteristics, sources, and human health risks of benzene, toluene, xylene (BTX) and polycyclic aromatic hydrocarbons (PAHs) in underground drinking water from a typical coking contaminated site in Shanxi of China were investigated. The average concentrations of BTX and PAHs in coking plant (CP) were 5.1 and 4.8 times higher than those in residential area (RA), respectively. Toluene and Benzene were the main BTX, while Acenaphthene, Fluorene, and Pyrene were the main PAHs. Concentrations of BTX/PAHs were negatively correlated with altitude, revealing altitude might be an important geological factor influencing spatial distribution of BTX/PAHs. PMF model demonstrated that the BTX/PAHs pollution in RA mainly originated from coking industrial activities. Health risk assessments were conducted by a modified US EPA-based model, in which environmental concentrations were replaced by residual concentrations after boiling. Residual ratios of different BTX/PAHs were determined by boiling experiments to be 9.4-93.8 %. The average total carcinogenic risks after boiling were decreased from 2.6 × 10-6 to 1.4 × 10-6 for adults, and from 4.3 × 10-6 to 2.1 × 10-6 for children, suggesting boiling was an effective strategy to reduce the carcinogenic risks from BTX/PAHs, especially for ingestion pathway. Monte Carlo simulation results matched well with the calculated results, suggesting the uncertainty was acceptable and the risk assessment results were reliable. This study provided useful information for revealing the spatial distribution of BTX/PAHs in underground drinking water of coking contaminated sites, understanding their linkage with altitude, and also helped to more accurately evaluate the health risks by using the newly established boiling-modified models.
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Affiliation(s)
- Chao Wang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Wanjun Wang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
| | - Shaobin Shao
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Weiqiang Deng
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Congqing Wang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Xinyuan Liu
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Hailing Li
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Meicheng Wen
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Xin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China
| | - Guiying Li
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Taicheng An
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
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18
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Wang J, Wang J, Liu Z, Yan R. Concentration, speciation and risk effects of multiple environmentally sensitive trace elements in respirable fine-grained fly ash. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133387. [PMID: 38198872 DOI: 10.1016/j.jhazmat.2023.133387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/19/2023] [Accepted: 12/26/2023] [Indexed: 01/12/2024]
Abstract
Respirable fine-grained fly ash (RFA) is captured very inefficiently by existing air purification devices of power plant, leading to increasing concerns regarding their migration and subsequent interaction with body due to fine particle size and its complex toxic composition. Trace elements of RFA in three groups with five different sizes between 8-13 µm were analyzed in terms of available concentration, speciation and risk effects. The concentration, pollution level and ecological risk level of elements in RFA were related to particle sizes. Chronic non-carcinogenic effect risk (NER) and carcinogenic effect risk (CER) were negatively correlated with particle size. The individual weight of exposed subjects, corresponding trace elements concentration and ingestion rate in RFA were three significant variables influencing CER. NER and CER had a tenfold exaggerated effect when calculated using total element concentration of RFA. In addition to individual differences and exposure conditions, trace element properties, speciation and available concentration were the dominant factor responsible for ecological and environmental effects of trace elements in RFA, following the order As>Ni, Mn>Cr>Pb>Cu>Zn. Results of this work highlight the effects and differences of trace elements in RFA on ecology and health, and provide a basis for further pollution control and human health warning.
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Affiliation(s)
- Jiao Wang
- Environment and Resources College, Shanxi University, No. 92 Wucheng Rd., Taiyuan 030006, China; Shanxi Laboratory for Yellow River, No. 92 Wucheng Rd, Taiyuan 030006, China.
| | - Junxiu Wang
- Environment and Resources College, Shanxi University, No. 92 Wucheng Rd., Taiyuan 030006, China
| | - Zhiyi Liu
- Shanxi Open University, No. 109 Qianfeng North Rd, Taiyuan 030006, China
| | - Ran Yan
- Environment and Resources College, Shanxi University, No. 92 Wucheng Rd., Taiyuan 030006, China
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19
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Wang P, Han G, Hu J, Zhang Q, Tian L, Wang L, Liu T, Ma W, Li J, Zheng H. Remarkable contamination characteristics, potential hazards and source apportionment of heavy metals in surface dust of kindergartens in a northern megacity of China. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133295. [PMID: 38134690 DOI: 10.1016/j.jhazmat.2023.133295] [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: 08/22/2023] [Revised: 12/07/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023]
Abstract
It is essential to understand the impact of heavy metals (HMs) present in the surface dust (SD) of kindergartens on children, who are highly sensitive to contaminated dust in cities in their growth stage. A study was conducted on 11 types of HMs present in the SD of 73 kindergartens in Beijing. This study aims to assess the pollution levels and sources of eleven HMs in Beijing's kindergartens surface dust (KSD), and estimate the potential health risks in different populations and sources. The results indicate that Cd has the highest contamination in the KSD, followed by Pb, Zn, Ni, Ba, Cr, and Cu. The sources of these pollutants are identified as industrial sources (23.7%), natural sources (22.1%), traffic sources (30.4%), and construction sources (23.9%). Cancer risk is higher in children (4.02E-06) than in adults (8.93E-06). Notably, Cr is the priority pollutant in the KSD, and industrial and construction activities are the main sources of pollution that need to be controlled. The pollution in the central and surrounding areas is primarily caused by historical legacy industrial sites, transportation, urban development, and climate conditions. This work provides guidance to manage the pollution caused by HMs in the KSD of Beijing. ENVIRONMENTAL IMPLICATION: Children within urban populations are particularly sensitive to pollutants present in SD. Prolonged exposure to contaminated SD significantly heightens the likelihood of childhood illnesses. The pollution status and potential health risks of HMs within SD from urban kindergartens are comprehensively investigated. Additionally, the contributions from four primary sources are identified and quantified. Furthermore, a pollution-source-oriented assessment is adopted to clearly distinguish the diverse impacts of different sources on health risks, and the priority pollutants and sources are determined. This work holds pivotal importance for risk management, decision-making, and environmental control concerning HMs in KSD.
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Affiliation(s)
- Peng Wang
- Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing 100083, PR China; Nu Surficial Environment & Hydrological Geochemistry Laboratory, China University of Geosciences (Beijing), Beijing 100083, PR China; The State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Guilin Han
- Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing 100083, PR China; Nu Surficial Environment & Hydrological Geochemistry Laboratory, China University of Geosciences (Beijing), Beijing 100083, PR China
| | - Jian Hu
- The State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
| | - Qian Zhang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Liyan Tian
- Institute of Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China
| | - Lingqing Wang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Tingyi Liu
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, P.R. China
| | - Wenmin Ma
- Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing 100083, PR China; Nu Surficial Environment & Hydrological Geochemistry Laboratory, China University of Geosciences (Beijing), Beijing 100083, PR China
| | - Jun Li
- The State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Houyi Zheng
- General Institute of Geological Survey, China Chemical Geology and Mine Bureau, Beijing 100013, PR China
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20
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Tang R, Cai B, Wang H, Huang X, Song X, Han Z, Zhao M, Sun J, Huang H, Huang J, Fan Z. Human activities contributing to the accumulation of high-risk trace metal(loid)s in soils of China's five major urban agglomerations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167218. [PMID: 37734621 DOI: 10.1016/j.scitotenv.2023.167218] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/16/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023]
Abstract
Rapid urbanization has accelerated the accumulation of trace metal(loid)s (TMs) in soils, but the relationship between this accumulation and human activities remains largely unknown. Therefore, based on 775 published literatures (2001-2020), this study aimed to identify the influence of human activities on TM accumulation. Results showed that all soil TM concentrations were higher than their corresponding Chinese soil background values. The pollution risk assessment indicated that the soil TMs in the study area were at moderate levels, and the value of Pollution load index was 2.10. According to the assessment of health risks, the non-carcinogenic risks for adults were at the "Negligible risk" level; while the carcinogenic risk was not negligible for all populations, with children being more susceptible than adults. Meanwhile, six high-risk TMs were identified based on the grading of Contaminating factors (CF ≥ 3) and contribution to health risk (≥ 75%), including four high pollution risk TMs (Cd, Hg, Cu, and Pb) and two high health risk TMs (Cr and As) . In addition, in accordance with the results of the Random forest model, the accumulation of soil high-risk TMs was closely related to influencing factors associated with human activities. The accumulation of Hg and Cr among five major urban agglomerations had the same influencing factors (the number of industrial companies and the amount of industrial wastewater discharge for Hg; the amount of pesticide application and highway mileage for Cr). However, there were significant differences in the factors influencing the accumulation of the other four high-risk TMs (including Cd, As, Cu and Pb), due to the different characteristics of each urban agglomeration. Our results provide new insights into the relationship between human activities and soil TM accumulation.
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Affiliation(s)
- Rui Tang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Boya Cai
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Huijuan Wang
- 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
| | - Menglu Zhao
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Jiaxun Sun
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Honghui Huang
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou 510300, China
| | - Jian Huang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
| | - Zhengqiu Fan
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
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21
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Wang M, Xu X, Han Q, Lin X, Yuan H, Wang M, Jiang F, Wang W. Assessment of source-oriented health risk associated with the oral ingestion of heavy metals in dust within an iron/steel smelting-affected area of the North China Plain. ENVIRONMENTAL RESEARCH 2023; 237:117101. [PMID: 37689335 DOI: 10.1016/j.envres.2023.117101] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 08/08/2023] [Accepted: 09/06/2023] [Indexed: 09/11/2023]
Abstract
Heavy metals (HMs) from iron/steel smelting activities pose notable risks to human health, especially to those living around industrial facilities of North China Plain, the base of China's steel production. In this study, 78 outdoor windowsill dust samples were collected around a large-scale iron/steel smelter with more than 65 years of production history in the western North China Plain. Nine HMs were analysed to comprehensively assess the health risks by integrating Monte Carlo simulation, oral bioaccessibility, and source apportionment. Results showed serious pollution with Cd, Pb, and Zn based on their geo-accumulation index values and concentrations. Four potential sources including industrial sources (49.85%), traffic sources (21.78%), natural sources (20.58%), and coal combustion (7.79%) were quantitatively identified by multivariate statistical analysis. The oral bioaccessibilities of HMs determined by the physiologically based extraction test ranged from 0.02% to 65.16%. Zn, Mn, Cd, and Pb had higher bioaccessibilities than other HMs. After incorporating oral bioavailability adjustments, noncarcinogenic and carcinogenic risks were significantly reduced, especially for adults. The mean hazard index (HI) for children and adults was below the safety threshold (1.0), whereas the mean of the total carcinogenic risk (TCR) based on HM bioaccessibilities in the gastric phase remained above the acceptable level (1.0E-06) (children: 5.20E-06; adults: 1.16E-06). Traffic sources warranted increased concern as it substantially increased TCR. Cd was identified as the priority pollution in iron/steel smelting areas. Assessing source-oriented health risks associated with oral ingestion exposure can guide the management and control of HM contamination within iron/steel smelting-affected areas.
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Affiliation(s)
- Mingya Wang
- College of Resource and Environment, Henan Polytechnic University, 454003, Jiaozuo, China
| | - Xiaohang Xu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 550081, Guiyang, China; Key Laboratory of Karst Georesources and Environment, Ministry of Education, Colleage of Resources and Environmental Engineering, Guizhou University, 550025, Guiyang, China
| | - Qiao Han
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 550081, Guiyang, China.
| | - Xihuang Lin
- Analysis and Test Center, Third Institute of Oceanography, Ministry of Natural Resources, 361005, Xiamen, China
| | - Haijun Yuan
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 550081, Guiyang, China
| | - Mingshi Wang
- College of Resource and Environment, Henan Polytechnic University, 454003, Jiaozuo, China
| | - Fengcheng Jiang
- College of Resource and Environment, Henan Polytechnic University, 454003, Jiaozuo, China
| | - Wenju Wang
- College of Resource and Environment, Henan Polytechnic University, 454003, Jiaozuo, China
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22
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Zhang Y, Guo Z, Peng C, He Y. Introducing a land use-based weight factor in regional health risk assessment of PAHs in soils of an urban agglomeration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 887:163833. [PMID: 37149166 DOI: 10.1016/j.scitotenv.2023.163833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/19/2023] [Accepted: 04/25/2023] [Indexed: 05/08/2023]
Abstract
The high heterogeneity of land uses in urban areas has led to large spatial variations in the contents and health risks of polycyclic aromatic hydrocarbons (PAHs) in soils. A land use-based health risk assessment (LUHR) model was proposed for soil pollution on a regional scale by introducing a land use-based weight factor, which considered the differences in exposure levels of soil pollutants to receptor populations between land uses. The model was applied to assess the health risk posed by soil PAHs in the rapidly industrializing urban agglomeration of Changsha-Zhuzhou-Xiangtan Urban Agglomeration (CZTUA). The mean concentration of total PAHs (∑PAHs) in CZTUA was 493.2 μg/kg, and their spatial distribution was consistent with emissions from industry and vehicles. The LUHR model suggested the 90th percentile health risk value was 4.63 × 10-7, which was 4.13 and 1.08 times higher than those of traditional risk assessments that have adopted adults and children as default risk receptors, respectively. The risk maps of LUHRs showed that the ratios of the area exceeding the risk threshold (1 × 10-6) to the total area were 34.0 %, 5.0 %, 3.8 %, 2.1 %, and 0.2 % in the industrial area, urban green space, roadside, farmland, and forestland, respectively. The LUHR model back-calculated the soil critical values (SCVs) for ∑PAHs under different land uses, resulting in values of 6719, 4566, 3224, and 2750 μg/kg for forestland, farmland, urban green space, and roadside, respectively. Compared with the traditional health risk assessment models, this LUHR model identified high-risk areas and drew risk contours more accurately and precisely by considering both the spatial variances of soil pollution and their exposure levels to different risk receptors. This provides an advanced approach to assessing the health risks of soil pollution on a regional scale.
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Affiliation(s)
- Yan Zhang
- Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, People's Republic of China
| | - Zhaohui Guo
- Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, People's Republic of China
| | - Chi Peng
- Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, People's Republic of China.
| | - Yalei He
- Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, People's Republic of China
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23
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Wang Z, Lu X, Yu B, Yang Y, Wang L, Lei K. Ascertaining priority control pollution sources and target pollutants in toxic metal risk management of a medium-sized industrial city. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 887:164022. [PMID: 37172841 DOI: 10.1016/j.scitotenv.2023.164022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/18/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023]
Abstract
Re-suspended surface dust (RSD) often poses higher environmental risks due to its specific physical characteristics. To ascertain the priority pollution sources and pollutants for the risk control of toxic metals (TMs) in RSD of medium-sized industrial cities, this study took Baotou City, a representative medium-sized industrial city in North China, as an example to systematically study TMs pollution in RSD. The levels of Cr (242.6 mg kg-1), Pb (65.7 mg kg-1), Co (54.0 mg kg-1), Ba (1032.4 mg kg-1), Cu (31.8 mg kg-1), Zn (81.7 mg kg-1), and Mn (593.8 mg kg-1) in Baotou RSD exceeded their soil background values. Co and Cr exhibited significant enrichment in 94.0 % and 49.4 % of samples, respectively. The comprehensive pollution of TMs in Baotou RSD was very high, mainly caused by Co and Cr. The main sources of TMs in the study area were industrial emissions, construction, and traffic activities, accounting for 32.5, 25.9, and 41.6 % of the total TMs respectively. The overall ecological risk in the study area was low, but 21.5 % of samples exhibited moderate or higher risk. The carcinogenic risks of TMs in the RSD to local residents and their non-carcinogenic risks to children cannot be ignored. Industrial and construction sources were priority pollution sources for eco-health risks, with Cr and Co being the target TMs. The south, north and west of the study area were the priority control areas for TMs pollution. The probabilistic risk assessment method combining of Monte Carlo simulation and source analysis can effectively identify the priority pollution sources and pollutants. These findings provide scientific basis for TMs pollution control in Baotou and constitute a reference for environmental management and protection of residents' health in other similar medium-sized industrial cities.
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Affiliation(s)
- Zhenze Wang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
| | - Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an 710065, China
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24
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Yang Y, Lu X, Yu B, Zuo L, Wang L, Lei K, Fan P, Liang T, Rennert T, Rinklebe J. Source-specific risk judgement and environmental impact of potentially toxic elements in fine road dust from an integrated industrial city, North China. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:131982. [PMID: 37413801 DOI: 10.1016/j.jhazmat.2023.131982] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/27/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023]
Abstract
The contamination of potentially toxic elements (PTEs) in road dust of large industrial cities is extremely serious. Determining the priority risk control factors of PTE contamination in road dust is critical to enhance the environmental quality of such cities and mitigate the risk of PTE pollution. The Monte Carlo simulation (MCS) method and geographical models were employed to assess the probabilistic pollution levels and eco-health risks of PTEs originating from different sources in fine road dust (FRD) of large industrial cities, and to identify key factors affecting the spatial variability of priority control sources and target PTEs. It was observed that in FRD of Shijiazhuang, a typical large industrial city in China, more than 97% of the samples had an INI > 1 (INImean = 1.8), indicating moderately contaminated with PTEs. The eco-risk was at least considerable (NCRI >160) with more than 98% of the samples, mainly caused by Hg (Ei (mean) = 367.3). The coal-related industrial source (NCRI(mean) = 235.1) contributed 70.9% to the overall eco-risk (NCRI(mean) = 295.5) of source-oriented risks. The non-carcinogenic risk of children and adults are of less importance, but the carcinogenic risk deserves attention. The coal-related industry is a priority control pollution source for human health protection, with As corresponding to the target PTE. The major factors affecting the spatial changes of target PTEs (Hg and As) and coal-related industrial sources were plant distribution, population density, and gross domestic product. The hot spots of coal-related industrial sources in different regions were strongly interfered by various human activities. Our results illustrate spatial changes and key-influencing factors of priority source and target PTEs in Shijiazhuang FRD, which are helpful for environmental protection and control of environmental risks by PTEs.
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Affiliation(s)
- Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
| | - Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Ling Zuo
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an 710065, China
| | - Peng Fan
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Thilo Rennert
- Department of Soil Chemistry and Pedology, Institute of Soil Science and Land Evaluation, University of Hohenheim, 70593 Stuttgart, Germany
| | - Jörg Rinklebe
- University of Wuppertal, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water, and Waste-Management, Soil-and Groundwater-Management, Pauluskirchstraße 7, 42285 Wuppertal, Germany
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25
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Yu B, Lu X, Wang L, Liang T, Fan X, Yang Y, Lei K, Zuo L, Fan P, Bolan N, Rinklebe J. Potentially toxic elements in surface fine dust of residence communities in valley industrial cities. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 327:121523. [PMID: 37003587 DOI: 10.1016/j.envpol.2023.121523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/12/2023] [Accepted: 03/26/2023] [Indexed: 06/19/2023]
Abstract
A comprehensive analysis of content, pollution characteristics, health hazard, distribution, and source of some broadly concerned potentially toxic elements (PTEs, Pb, V, Mn, Cr, Ba, Zn, Ni, and Cu) in surface fine dust with particle size <63 μm (SFD63) from residence communities in Xi'an, a representative valley industrial city, was conducted in this research to analyze the quality of environment and influencing factors of valley industrial cities in China. The average contents of Ba (794.1 mg kg-1), Cu (61.3 mg kg-1), Pb (99.9 mg kg-1), Zn (408.1 mg kg-1), Cr (110.0 mg kg-1), and Ni (33.4 mg kg-1) in SFD63 of Xi'an residence communities surpassed their background contents of local soil. The high enrichment-value regions of PTEs were chiefly located in the regions with high traffic flow, high population density, and areas around industries. Zn and Pb had moderate enrichment, and the overall pollution level of PTEs was unpolluted-to-moderate and moderate pollution. Three source categories (including natural geogenic source, industrial anthropogenic source, and mixed anthropogenic source of transportation, residential activities, and construction) were identified as the predominant sources for the PTEs pollution in SFD63, with the contribution levels of 29.9%, 32.4%, and 37.7%, respectively. The assessment of health risks according to Monte Carlo simulation revealed that the 95% of the non-cancer risk of PTEs to residents (the elderly, working people, and children) was less than the threshold of 1, while the probability of cancer risk exceeding the acceptable threshold of 1E-6 was 93.76% for children, 68.61% for the elderly, and 67.54% for working people. Industrial source was determined as priority pollution source and Cr was determined as priority pollutant, which should be concerned.
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Affiliation(s)
- Bo Yu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Xinwei Lu
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China.
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinyao Fan
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Yufan Yang
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Kai Lei
- School of Biological and Environmental Engineering, Xi'an University, Xi'an, 710065, China
| | - Ling Zuo
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Peng Fan
- Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China
| | - Nanthi Bolan
- School of Agriculture and Environment, The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6001, Australia
| | - Jörg Rinklebe
- University of Wuppertal, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, Soil- and Groundwater-Management, Pauluskirchstraße 7, 42285, Wuppertal, Germany
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Han Q, Wang M, Xu X, Li M, Liu Y, Zhang C, Li S, Wang M. Health risk assessment of heavy metals in road dust from the fourth-tier industrial city in central China based on Monte Carlo simulation and bioaccessibility. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 252:114627. [PMID: 36791504 DOI: 10.1016/j.ecoenv.2023.114627] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Health risks caused by heavy metal (HM) exposure in road dust has attracted extensive attention, but few studies have focused on the health risks of residents living in small- and medium-sized cities with rapid industrialization and urbanization. Thus, 140 road dust samples were collected across Anyang, a typical fourth-tier industrial city in central China, which were analysed for 10 different HMs (Mn, Zn, Pb, V, Cr, As, Cd, Ni, Cu and Co). Monte Carlo simulation and bioaccessibility were used to quantify the health risks of heavy metals comprehensively in road dust. Results revealed a remarkable accumulation of Mn, Zn, Pb, Cd and Cu. According to the Geo-accumulation index and potential ecological risk index, Cd was priority control pollutant. Moreover, 55.0% of the road dust samples reached heavily polluted level, and 52.86% of the samples were at high ecological risk levels. These results illustrated that HM contamination was serious and universal in the road dust of Anyang. The occurrences of HMs were allocated to traffic emissions, natural sources, industrial activities and agricultural activities with contribution rates of 35.4%, 6.0%, 41.6% and 17.0%, respectively. Except for Zn in the gastric phase, all other HMs had relatively low bioaccessibilities in the gastrointestinal system, usually less than 20%. The bioaccessibilities of most HMs were higher in the gastric phase, except for Cr, Ni and Cu, which remained higher in the intestinal phase. The non-carcinogenic risk and carcinogenic risk were remarkably reduced when considering the HM bioaccessibilities in the gastrointestinal system, especially for adults. The outcomes of this paper are valuable for understanding HM contamination in road dust and highlight the importance of risk assessment for populations living in the fourth- and fifth-tier cities.
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Affiliation(s)
- Qiao Han
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 550081 Guiyang, China; University of Chinese Academy of Sciences, Beijing 100049, China; College of Resource and Environment, Henan Polytechnic University, 454003 Jiaozuo, China
| | - Mingya Wang
- College of Resource and Environment, Henan Polytechnic University, 454003 Jiaozuo, China
| | - Xiaohang Xu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 550081 Guiyang, China; Key Laboratory of Karst Georesources and Environment, Ministry of Education, Colleage of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
| | - Mengfei Li
- Anyang Iron and Steel Group Co. LTD, 455000 Anyang, China
| | - Yang Liu
- College of Resource and Environment, Henan Polytechnic University, 454003 Jiaozuo, China
| | - Chunhui Zhang
- College of Resource and Environment, Henan Polytechnic University, 454003 Jiaozuo, China
| | - Shehong Li
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 550081 Guiyang, China.
| | - Mingshi Wang
- College of Resource and Environment, Henan Polytechnic University, 454003 Jiaozuo, China.
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Tang Q, Zhang H, Zhao X, Miao C, Yang P, Zhou Z, Ji Q, Chen L. Speciation, bioaccessibility and human health risk assessment of chromium in solid wastes from an ultra-low emission coal-fired power plant, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 315:120400. [PMID: 36228856 DOI: 10.1016/j.envpol.2022.120400] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/16/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Chromium (Cr) in solid wastes from ultra-low emission (ULE) coal-fired power plants (CFPPs) could engender adverse effects on environment and human health. Hence, solid waste samples containing bottom ash, fly ash, gypsum and sludge were collected from a typical ULE CFPP in China to study the distribution, speciation, bioaccessibility and human health risk of Cr. The results showed that Cr was depleted in gypsum, whereas significantly enriched in bottom ash, fly ash and sludge comparing with feed coal. The ratios of Cr(VI) to total Cr in solid wastes were relatively low, but the increase of flow fractions in Cr chemical binding forms implied the deterioration of environmental stability. Based on the in vitro simulated digestion methods of solubility bioavailability research consortium (SBRC) and physiologically based extraction test (PBET), the bioaccessibility of Cr in the gastric and intestinal phases reached the highest values in either gypsum or sludge. After incorporating bioaccessibility in human health risk assessment, the carcinogenic risk (CR) within acceptable limits of Cr in solid wastes to adults and children was concluded, with the non-carcinogenic hazard quotient (HQ) was all within the safety threshold. The Monte Carlo model was applied to evaluate the uncertainty analysis of human health risk assessment at 5% and 95% confidence interval, and the fitting results were consistent with the calculation results of the carcinogenic and non-carcinogenic risk for adults and children. This study is expected to provide insights for the integration of bioaccessibility into the health risk assessment of Cr in solid wastes from ULE CFPPs, thus is conducive to the disposal of solid wastes and human health protection.
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Affiliation(s)
- Quan Tang
- School of Life Sciences, Anhui University, Hefei, 230601, China.
| | - Huiming Zhang
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Xiaohu Zhao
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Chunhui Miao
- Anhui Xinli Power Technology Consulting Company with Limited Liability, State Grid Anhui Electric Power Corporation Research Institute, Hefei, 230601, China
| | - Pengpeng Yang
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Zhongkang Zhou
- Anhui Xinli Power Technology Consulting Company with Limited Liability, State Grid Anhui Electric Power Corporation Research Institute, Hefei, 230601, China
| | - Qiaozhen Ji
- Anhui Xinli Power Technology Consulting Company with Limited Liability, State Grid Anhui Electric Power Corporation Research Institute, Hefei, 230601, China
| | - Lai Chen
- School of Business, Anhui University, Hefei, 230601, China
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