1
|
Qu M, Guang X, Chen J, Zhao Y, Huang B, Wang M, Wang H, Wang Y. Soil environmental carrying capacity and its spatial high-precision accounting framework. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 938:173620. [PMID: 38815834 DOI: 10.1016/j.scitotenv.2024.173620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/13/2024] [Accepted: 05/27/2024] [Indexed: 06/01/2024]
Abstract
Human activity intensity should be controlled within the carrying capacity of soil units, which is crucial for environmental sustainability. However, the existing assessment methods for soil environmental carrying capacity (SECC) rarely consider the relationship between human activity intensity and pollutant emissions, making it difficult to provide effective early warning of human activity intensity. Moreover, there is a lack of spatial high-precision accounting methods for SECC. This study first established a spatial soil environmental capacity (SEC) model based on the pollutant thresholds corresponding to the specific protection target. Next, a spatial net-input flux model was proposed based on soil pollutants' input/output fluxes. Then, the quantitative relationship between human activity intensity and pollutant emissions was established and further incorporated into the SECC model. Finally, the spatial high-precision accounting framework of SECC was proposed. The methodology was used to assess the SECC for the copper production capacity in a typical copper smelting area in China. The results showed that (i) the average SECs for Cu, Cd, Pb, Zn, As and Cr are 427.89, 16.84, 306.41, 376.8, 71.63, and 392.7 kg hm-2, respectively; (ii) heavy metal (HM) concentrations and land-use types jointly influence the spatial distribution pattern of SEC; (iii) atmospheric deposition is the dominant HM input pathway and the high net-input fluxes are mainly located in the southeast of the study area; (iv) with the current human activity intensity for 50 years, the average SECs for Cu, Cd, Pb, Zn, As and Cr are 202.31, 1.71, 20.9, 66.15, 36.73, and 3 kg hm-2, respectively; and (v) to maintain the protection target at the acceptable risk level within 50 years, the SECC for the increased copper production capacity is 1.53 × 106 t. This study provided an effective tool for early warning of human activity intensity.
Collapse
Affiliation(s)
- Mingkai Qu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China.
| | - Xu Guang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Jian Chen
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Yongcun Zhao
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Biao Huang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Meie Wang
- State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Hongmei Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yujun Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| |
Collapse
|
2
|
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.
Collapse
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
| |
Collapse
|
3
|
Xu L, Wang G, Zhang S, Li T, Xu X, Gong G, Zhou W, Pu Y, Jia Y, Li Y, Long L. Inhibition of high sulfur on functional microorganisms and genes in slightly contaminated soil by cadmium and chromium. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123421. [PMID: 38253166 DOI: 10.1016/j.envpol.2024.123421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/21/2023] [Accepted: 01/19/2024] [Indexed: 01/24/2024]
Abstract
It is generally accepted that sulfur can passivate the bioavailability of heavy metals in soil, but it is not clear whether high sulfur in cadmium (Cd) and chromium (Cr) contaminated soil has negative effect on soil microbial community and ecological function. In this study, total sulfur (TS) inhibited the Chao 1, Shannon, Phylogenetic diversity (Pd) of bacterial and Pd of fungi in slightly contaminated soil by Cd and Cr around pyrite. TS, total potassium, pH, total chromium, total cadmium, total nitrogen, soil organic matter were the predominant factors for soil microbial community; the contribution of TS in shaping bacterial and fungal communities ranked at first and fifth, respectively. Compared with the low sulfur group, the abundance of sulfur sensitive microorganisms Gemmatimonas, Pseudolabrys, MND1, and Schizothecium were decreased by 68.79-97.22% (p < 0.01) at high sulfur one; the carbon fixation, nitrogen cycling, phosphorus cycling and resistance genes abundance were significantly lower (p < 0.01) at the latter. Such variations were strongly and closely correlated to the suppression of energy metabolism (M00009, M00011, M00086) and carbon fixation (M00173, M00376) functional module genes abundance in the high sulfur group. Collectively, high sulfur significantly suppressed the abundances of functional microorganisms and functional genes in slightly contaminated soil with Cd and Cr, possibly through inhibition of energy metabolism and carbon fixation of functional microorganisms. This study provided new insights into the environmental behavior of sulfur in slightly contaminated soil with Cd and Cr.
Collapse
Affiliation(s)
- Longfei Xu
- College of Environmental Sciences, Sichuan Agricultural University, Wenjiang, 611130, China.
| | - Guiyin Wang
- College of Environmental Sciences, Sichuan Agricultural University, Wenjiang, 611130, China; Sichuan Provincial Key Laboratory of Soil Environmental Protection, Wenjiang, 611130, China
| | - Shirong Zhang
- College of Environmental Sciences, Sichuan Agricultural University, Wenjiang, 611130, China; Sichuan Provincial Key Laboratory of Soil Environmental Protection, Wenjiang, 611130, China.
| | - Ting Li
- College of Resources, Sichuan Agricultural University, Wenjiang, 611130, China
| | - Xiaoxun Xu
- College of Environmental Sciences, Sichuan Agricultural University, Wenjiang, 611130, China; Sichuan Provincial Key Laboratory of Soil Environmental Protection, Wenjiang, 611130, China
| | - Guoshu Gong
- College of Agronomy, Sichuan Agricultural University, Wenjiang, 611130, China
| | - Wei Zhou
- College of Resources, Sichuan Agricultural University, Wenjiang, 611130, China
| | - Yulin Pu
- College of Resources, Sichuan Agricultural University, Wenjiang, 611130, China
| | - Yongxia Jia
- College of Resources, Sichuan Agricultural University, Wenjiang, 611130, China
| | - Yun Li
- College of Resources, Sichuan Agricultural University, Wenjiang, 611130, China
| | - Lulu Long
- College of Environmental Sciences, Sichuan Agricultural University, Wenjiang, 611130, China
| |
Collapse
|
4
|
Jiang Y, Guo X, Ye Y, Xu Z, Zhou Y, Xia F, Shi Z. Spatiotemporal assessment and scenario simulation of the risk potential of industrial sites at the regional scale. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167537. [PMID: 37793450 DOI: 10.1016/j.scitotenv.2023.167537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/29/2023] [Accepted: 09/30/2023] [Indexed: 10/06/2023]
Abstract
Spatiotemporal risk and future evolutionary distribution characteristics of industrial sites are crucial for regional environmental supervision. However, traditional site survey methods have long cycles, high costs, and small coverage and usually only consider the static risk of a single industrial site to a single receptor. Low-cost, large-scale, and long-term multi-source data can compensate for the shortcomings of traditional site surveys. Previous studies have rarely considered the spatiotemporal heterogeneity of industrial sites and assessed their dynamic risks at the regional scale. This study used China's Yangtze River Delta Urban Agglomeration as the study area. We assessed the risk potential of industrial sites from 2000 to 2020 using multi-source and multiperiod data. We also simulated the risk potential for 2030 and 2050 using a patch-generating land use simulation (PLUS) model under different scenarios. The results indicated that the proportion of medium- and high-risk potential grids from 2000 to 2020 ranged from 2.53 % to 5.61 % in the study area, with the vast majority of areas (94.39 %-97.47 %) having low- or no-risk potential. The PLUS model exhibited remarkable reliability from 2005 to 2020, with the overall accuracy, Kappa coefficient, and Moran's index ranging from 83 % to 89 %, 0.38 to 0.59, and 0.34 to 0.56, respectively. The future prediction results indicated that the number of high-risk potential grids (>5 %) showed an upward trend under natural development scenarios in 2030 and 2050 and a downward trend under the ten-chapter soil pollution action plan or strict control scenarios. This study provides vital information for addressing the challenges of industrial site management and environmental risks in similar regions.
Collapse
Affiliation(s)
- Yefeng Jiang
- Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Jiangxi Agricultural University, Nanchang 330045, China; Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Xi Guo
- Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yingcong Ye
- Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Jiangxi Agricultural University, Nanchang 330045, China
| | - Zhe Xu
- Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yin Zhou
- Institute of Land and Urban-Rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China
| | - Fang Xia
- College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
| | - Zhou Shi
- Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
| |
Collapse
|
5
|
Liu F, Wang X, Dai S, Zhou J, Liu D, Hu Q, Bai J, Zhao L, Nazir N. Impact of different industrial activities on heavy metals in floodplain soil and ecological risk assessment based on bioavailability: A case study from the Middle Yellow River Basin, northern China. ENVIRONMENTAL RESEARCH 2023; 235:116695. [PMID: 37467945 DOI: 10.1016/j.envres.2023.116695] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 07/14/2023] [Accepted: 07/16/2023] [Indexed: 07/21/2023]
Abstract
Understanding the impact of different industrial activities on heavy metals and conducting scientific ecological risk assessments are critical to the management of heavy metal pollution. The present study compared soils affected by different industrial activities in three types of industrial cities (coal city, oil-gas city, and economic city) to control samples and examined the ecological risk based on bioavailability in the Middle Yellow River Basin. The findings revealed that the impact characteristics of different industrial activities on soil heavy metals in the research area were different. Both coal-based and oil-gas industry activities had a minor impact on soil heavy metals, whereas economic industry activities in the southern part had a major impact, as evidenced by significant enrichment of Cd, Hg, Cu, Pb, and Zn. In principal component analysis, the soil heavy metals affected by economic industry activities designated a distinct source from the control samples, particularly the anthropogenic sources represented by Hg and Cd. In the context of heavy metals in chemical form, three types of industrial activities all had an effect on bioavailability (0.72-24.27%) and could increase migratory activity in the environment. Furthermore, both traditional and improved assessments, based on total content and bioavailability, showed a low ecological risk near coal cities and oil-gas cities in the middle and northern parts, while there was a medium-high ecological risk near economically developed cities in the south, particularly Tianshui, Baoji, Qishan, Xianyang, Xi'an, and Tongchuan. In comparison, improved risk assessment based on bioavailability tends to not only compensate for an overestimation in traditional risk assessment from the perspective of total content, but additionally achieve a more reasonable, effective, and advanced assessment of heavy metal risks in scientific research. The outcome of this study has significance for the ecological conservation and high-quality development of the Yellow River Basin.
Collapse
Affiliation(s)
- Futian Liu
- Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, Ministry of Natural Resources & School of Earth Sciences, Lanzhou University, Lanzhou, 730000, China.
| | - Xueqiu Wang
- Key Laboratory of Geochemical Exploration, Institute of Geophysical and Geochemical Exploration, CAGS, Langfang, 065000, China; UNESCO International Center on Global-scale Geochemistry, Langfang, 065000, China.
| | - Shuang Dai
- Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, Ministry of Natural Resources & School of Earth Sciences, Lanzhou University, Lanzhou, 730000, China.
| | - Jian Zhou
- Key Laboratory of Geochemical Exploration, Institute of Geophysical and Geochemical Exploration, CAGS, Langfang, 065000, China; UNESCO International Center on Global-scale Geochemistry, Langfang, 065000, China
| | - Dongsheng Liu
- Key Laboratory of Geochemical Exploration, Institute of Geophysical and Geochemical Exploration, CAGS, Langfang, 065000, China; UNESCO International Center on Global-scale Geochemistry, Langfang, 065000, China
| | - Qinghai Hu
- Key Laboratory of Geochemical Exploration, Institute of Geophysical and Geochemical Exploration, CAGS, Langfang, 065000, China; UNESCO International Center on Global-scale Geochemistry, Langfang, 065000, China
| | - Jianke Bai
- Xining Center of Natural Resources Comprehensive Survey, CGS, Xining, 810000, China
| | - Linxing Zhao
- Xining Center of Natural Resources Comprehensive Survey, CGS, Xining, 810000, China
| | - Nusrat Nazir
- Key Laboratory of Strategic Mineral Resources of the Upper Yellow River, Ministry of Natural Resources & School of Earth Sciences, Lanzhou University, Lanzhou, 730000, China
| |
Collapse
|
6
|
Wang P, Hu J, Han G, Liu T, Ma WM, Li J. Preliminary investigation of soil organic carbon distribution and turnover patterns, and potential pollution sources in and around a typical coking plant in North China. ENVIRONMENTAL RESEARCH 2023; 228:115845. [PMID: 37024029 DOI: 10.1016/j.envres.2023.115845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/29/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023]
Abstract
The variation characteristics of soil organic carbon (SOC) in and around the coking plant area are still unclear. In this work, the concentration and stable carbon isotope composition of SOC in coke plant soils were investigated to preliminarily identify the sources of SOC in and around the plant area, and to characterize soil carbon turnover. Meanwhile, the carbon isotopic technique was used to initially identify the soil pollution processes and sources in and around the coking plant area. The results demonstrate that the SOC content (12.76 mg g-1) of the surface soil in the coking plant is about 6 times higher than that outside the coking plant (2.05 mg g-1), and the variation range of δ13C value of the surface soil in the plant (-24.63~-18.55‰) is larger than that of the soil outside the plant (-24.92~-20.22‰). The SOC concentration decreases gradually from the center of the plant outward with increasing distance, and the δ13C in the middle and north of the plant tends to be positive compared with the δ13C in the west and southeast of the plant. As the increase of soil depth, the SOC content and δ13C value in the plant increases. On the contrary, δ13C value and SOC content outside the plant decreases, with a minor variation. Based on the carbon isotope method, the SOC in and around the coking plant area is mainly from industrial activities (e.g., coal burning and coking), and partly from C3 plants. Notably, organic waste gases containing heavy hydrocarbons, light oils, and organic compounds accumulated in the northern and northeastern areas outside the plant due to south and southwest winds, which may pose an environmental health risk.
Collapse
Affiliation(s)
- Peng Wang
- Institute of Earth Sciences, 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.
| | - Guilin Han
- Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, 100083, PR China
| | - Tingyi Liu
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, 300387, PR China
| | - Wen-Min Ma
- 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
| |
Collapse
|
7
|
Wang P, Hu J, Liu T, Liu J, Ma S, Ma W, Li J, Zheng H, Lu R. Advances in the application of metallic isotopes to the identification of contaminant sources in environmental geochemistry. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:131913. [PMID: 37392646 DOI: 10.1016/j.jhazmat.2023.131913] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/03/2023] [Accepted: 06/20/2023] [Indexed: 07/03/2023]
Abstract
The development of the economy and society makes heavy metals (HMs) pollution more and more serious. And, pollution source identification is the primary work of environmental pollution control and land planning. Notably, stable isotope technology has a high ability to distinguish pollution sources, and can better reflect the migration behavior and contribution of HMs from diverse sources, which has become a hot research tool for pollution source identification of HMs. Currently, the rapid development of isotope analysis technology provides a relatively reliable reference for pollution tracking. Based on this background, the fractionation mechanism of stable isotopes and the influence of environmental processes on isotope fractionation are reviewed. Furthermore, the processes and requirements for the measurement of metal stable isotope ratios are summarized, and the calibration methods and detection accuracy of sample measurement are evaluated. Besides, the current commonly used binary model and multi-mixed models in the identification of contaminant sources are also concluded. Moreover, the isotopic changes of different metallic elements under natural and anthropogenic conditions are discussed in detail, and the application prospects of multi-isotope coupling in the traceability of environmental geochemistry are evaluated. This work has some guidance for the application of stable isotopes in the source identification of environmental pollution.
Collapse
Affiliation(s)
- Peng Wang
- Institute of Earth Sciences, 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; Chinese Academy of Sciences, Beijing 100085, PR China.
| | - Tingyi Liu
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, PR China
| | - Jinke Liu
- Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing 100083, PR China
| | - Shunrong Ma
- Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing 100083, PR China
| | - Wenmin Ma
- 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; Chinese Academy of Sciences, Beijing 100085, PR China
| | - Houyi Zheng
- China Chemical Geology and Mine Bureau, Beijing 10013, PR China
| | - Ran Lu
- Research Center of Heavy Metal Pollution Prevention and Control, Chinese Academy for Environmental Planning, Beijing 100012, PR China
| |
Collapse
|
8
|
Jiang Y, Hu B, Shi H, Yi L, Chen S, Zhou Y, Cheng J, Huang M, Yu W, Shi Z. Pollution and risk assessment of potentially toxic elements in soils from industrial and mining sites across China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 336:117672. [PMID: 36967691 DOI: 10.1016/j.jenvman.2023.117672] [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: 12/04/2022] [Revised: 02/01/2023] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
Potentially toxic elements in soils (SPTEs) from industrial and mining sites (IMSs) often cause public health issues. However, previous studies have either focused on SPTEs in agricultural or urban areas, or in a single or few IMSs. A systematic assessment of the pollution and risk levels of SPTEs from IMS at the national scale is lacking. Here, we obtained SPTE (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) concentrations from IMSs across China based on 188 peer-reviewed articles published between 2004 and 2022 and quantified their pollution and risk levels using the pollution index and risk assessment model, respectively. The results indicated that the average concentrations of the eight SPTEs were 4.42-270.50 times the corresponding background values, and 19.58% of As, 14.39% of Zn, 12.79% of Pb, and 8.03% of Cd exceeded the corresponding soil risk screening values in these IMSs. In addition, 27.13% of the examined IMS had one or more SPTE pollution, mainly distributed in the southwest and south central China. On the examined IMSs, 81.91% had moderate or severe ecological risks, which were mainly caused by Cd, Hg, As, and Pb; 23.40% showed non-carcinogenic risk and 11.70% demonstrated carcinogenic risk. The primary exposure pathways of the former were ingestion and inhalation, while that for the latter was ingestion. A Monte Carlo simulation also confirmed the health risk assessment results. As, Cd, Hg, and Pb were identified as priority control SPTEs, and Hunan, Guangxi, Guangdong, Yunnan, and Guizhou were selected as the key control provinces. Our results provide valuable information for public health and soil environment management in China.
Collapse
Affiliation(s)
- Yefeng Jiang
- Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China; Department of Land Resource Management, School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China
| | - Bifeng Hu
- Department of Land Resource Management, School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China
| | - Huading Shi
- Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing, 100012, China
| | - Lina Yi
- China Environmental United Certification Center Co., Ltd., Beijing, 100029, China
| | - Songchao Chen
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 311200, China
| | - Yin Zhou
- Institute of Land and Urban-Rural Development, Zhejiang University of Finance and Economics, Hangzhou, 310018, China
| | - Jieliang Cheng
- Zhejiang Cultivated Land Quality and Fertilizer Management Station, Hangzhou, 310009, China
| | - Mingxiang Huang
- Information Center of Ministry of Ecology and Environment, Beijing, 100029, China
| | - Wu Yu
- Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhou Shi
- Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
| |
Collapse
|
9
|
Shomar B, Sankaran R, Solano JR. Mapping of trace elements in topsoil of arid areas and assessment of ecological and human health risks in Qatar. ENVIRONMENTAL RESEARCH 2023; 225:115456. [PMID: 36796603 DOI: 10.1016/j.envres.2023.115456] [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: 12/05/2022] [Revised: 01/21/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Soil is the incubator of human activities. Mapping of soil contaminants needs to be constantly updated. It is fragile in arid regions, especially if it accompanies dramatic and successive industrial and urban activities in addition to the climate change. Contaminants affecting soil are changing due to natural and anthropogenic influences. Sources, transport and impacts of trace elements including toxic heavy metals need continuous investigations. We sampled soil in accessible sites in the State of Qatar. An inductively coupled plasma-optical emission spectrometry (ICP-OES) and an inductively coupled plasma-mass spectrometry (ICP-MS) were used to determine the concentrations of Ag, Al, As, Ba, C, Ca, Ce, Cd, Co, Cr, Cu, Dy, Er, Eu, Fe, Gd, Ho, K, La, Lu, Mg, Mn, Mo, Na, Nd, Ni, Pb, Pr, S, Se, Sm, Sr, Tb, Tm, U, V, Yb and Zn. The study also presents new maps for the spatial distribution of these elements using the World Geodetic System 1984 (projected on UTM Zone 39N) which is based on socio-economic development and land use planning. The study assessed the ecological risks and human health risks of these elements in soil. The calculations showed no ecological risks associated with the tested elements in soil. However, the contamination factor (CF) for Sr (CF > 6) in two sampling locations calls for further investigations. More important, human health risks were not detected for population living in Qatar and the results were within the acceptable range of the international standards (hazard quotient HQ < 1 and Cancer risk between 10-5 and 10-6). Soil remains a critical component with water and food nexus. In Qatar and arid regions, fresh water is absent and soil is very poor. Our findings enhance the establishment of scientific strategies for investigating soil pollution and potential risks to achieve food security.
Collapse
Affiliation(s)
- Basem Shomar
- Environmental Science Center, Qatar University, P.O. Box: 2713, Doha, Qatar.
| | - Rajendran Sankaran
- Environmental Science Center, Qatar University, P.O. Box: 2713, Doha, Qatar
| | - Joaquim Rovira Solano
- Environmental Engineering Laboratory, Departament d'Enginyeria Química, Universitat Rovira i Virgili, Paisos Catalans Avenue 26, 43007, Tarragona, Catalonia, Spain; Laboratory of Toxicology and Environmental Health, School of Medicine, Universitat Rovira i Virgili, Sant Llorenç 21, 43201, Reus, Catalonia, Spain.
| |
Collapse
|
10
|
Li W, Wang L, Yang X, Liang T, Zhang Q, Liao X, White JR, Rinklebe J. Interactive influences of meteorological and socioeconomic factors on ecosystem service values in a river basin with different geomorphic features. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 829:154595. [PMID: 35302013 DOI: 10.1016/j.scitotenv.2022.154595] [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: 01/12/2022] [Revised: 03/08/2022] [Accepted: 03/11/2022] [Indexed: 05/16/2023]
Abstract
Ecosystem service value (ESV) is influenced by land use and land cover (LULC), and is closely related to natural conditions and human activities. However, the interactions between human and natural systems and ESV remain unclear, especially concerning widely discussed meteorological and socioeconomic factors. In this study, three periods of LULC patterns (2000, 2010, and 2020) in the Haihe River Basin, northern China, were collected to determine the relationship between changes in LULC and ESV over time. Natural and socioeconomic data associated with ESV were obtained and the structural equation model was used to decouple interactions between these factors. Results showed that the total value of regional ecosystem services has decreased as cultivated land shrunk and artificial surfaces increased over the past two decades. The ESV was significantly decreased in the middle of the basin. The direct effects of meteorological factors and socioeconomic factors on ESV were positive (0.094) and negative (-0.203), respectively. The indirect effect of socioeconomic factors on ESV through meteorological and LULC factors was 0.149. Structural equation modeling demonstrated that under the dominance of LULC, interactions between natural and socioeconomic factors affected ESV in a complex manner. These results implied that identifying the direct and indirect effects of economic development and human activities on ESV could guide and implement effective land management policies.
Collapse
Affiliation(s)
- Wanshu Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, 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; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xiao Yang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, 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; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qian Zhang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyong Liao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - John R White
- Wetland and Aquatic Biogeochemistry Laboratory, Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, United States
| | - 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; Department of Environment, Department of Environment and Energy, Sejong University, Seoul 05006, Republic of Korea
| |
Collapse
|
11
|
Heavy Metal Pollution and Soil Quality Assessment under Different Land Uses in the Red Soil Region, Southern China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074125. [PMID: 35409810 PMCID: PMC8998205 DOI: 10.3390/ijerph19074125] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/24/2022] [Accepted: 03/24/2022] [Indexed: 11/17/2022]
Abstract
The influences of different land uses associated with human activities on soil quality and the redistribution of heavy metal in soil have been widely concerned. Surface soil samples were obtained to assess comprehensive soil quality in a typical red soil region of southern China, combining the heavy metal pollution evaluation with fertility evaluation. It can be learned from the results that the overall level of soil fertility was at medium and lower level, and soil heavy metal pollution risk in the study area in a few regions had reached warning line and slight pollution line, and there was a risk of potential pollution. TOPSIS evaluation results showed that the comprehensive soil quality was mainly good quality and moderate quality, accounting for 31.7% and 29.0% of the total land area, respectively. Positive matrix factorization (PMF) model results showed that transportation source contributes a lot in terms of Cd and Pb. As for Cr, natural source contributes 53.8%. In terms of Cu and Zn, agriculture source contributes 50.7% and 38.7%, respectively. In a word, the comprehensive soil quality assessment in red soil region of southern China provides an important basis for the scientific management and sustainable utilization of soil resources.
Collapse
|