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Chen J, Chen S, Liu Z, Wu L, Xiang H, Zhang J, Wei H. A Bibliometric Analysis on Research Progress of Earthworms in Soil Ecosystems. BIOLOGY 2024; 13:385. [PMID: 38927265 PMCID: PMC11201220 DOI: 10.3390/biology13060385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/01/2024] [Accepted: 05/14/2024] [Indexed: 06/28/2024]
Abstract
The earthworm, as a soil engineer, plays highly important roles in the soil ecosystem for shaping soil structure, promoting soil fertility, regulating microbial community composition and activities and decomposing soil pollutants. However, the research progresses on this important soil fauna have rarely been reviewed so far. Therefore, we conducted a bibliometric analysis of the literature published during 1900-2022, which was collected from the Web of Science Core Collection (WoS). The results showed that three periods (1900-1990, 1991-2005 and 2006-2022) could be identified in terms of the intensity of publications on the topic, and the number of publications kept increasing since 2006. The United States produced the highest publication record at the country scale, whereas Chinese Academy of Sciences was the most productive institution. Chinese institutions and authors played an active and prominent role during 2018-2022. Soil Biology & Biochemistry was the most popular journal for the topic-related research. In these publications, Professor Lavelle P was the most influential author. Based on a citation network of the top 50 cited papers, four hotspots were identified, i.e., the ecological effects of earthworms, the impact of agricultural activities on earthworms, earthworm ecotoxicology and earthworm invasion. Moreover, "impact", "biodiversity", "oxidative stress", "diversity", "response", "Eisenia fetida" and "exposure" were the emerging and active topics in recent years. This study can help us to better understand the relevant subject categories, journals, countries, institutions, authors and articles and identify the research hotspots and emerging trends in the field of soil earthworm research.
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Affiliation(s)
- Jiayi Chen
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; (J.C.); (S.C.); (Z.L.); (L.W.); (H.X.)
| | - Shufang Chen
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; (J.C.); (S.C.); (Z.L.); (L.W.); (H.X.)
| | - Ziqiang Liu
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; (J.C.); (S.C.); (Z.L.); (L.W.); (H.X.)
| | - Lizhu Wu
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; (J.C.); (S.C.); (Z.L.); (L.W.); (H.X.)
| | - Huimin Xiang
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; (J.C.); (S.C.); (Z.L.); (L.W.); (H.X.)
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Engineering Technology Research Center of Modern Eco-Agriculture and Circular Agriculture, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Agro-Environment in the Tropics, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou 510642, China
| | - Jiaen Zhang
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; (J.C.); (S.C.); (Z.L.); (L.W.); (H.X.)
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Engineering Technology Research Center of Modern Eco-Agriculture and Circular Agriculture, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Agro-Environment in the Tropics, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou 510642, China
| | - Hui Wei
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; (J.C.); (S.C.); (Z.L.); (L.W.); (H.X.)
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Engineering Technology Research Center of Modern Eco-Agriculture and Circular Agriculture, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Agro-Environment in the Tropics, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou 510642, China
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Li S, Liu R, Wu Y, Liang R, Zhou Z, Chen J, You Y, Guo P, Zhang Q. Elevated serum lead and cadmium levels associated with increased risk of dyslipidemia in children aged 6 to 9 years in Shenzhen, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27335-0. [PMID: 37148513 DOI: 10.1007/s11356-023-27335-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/26/2023] [Indexed: 05/08/2023]
Abstract
Exposure to heavy metals can influence on metabolism, but studies have not fully evaluated young children. We investigated the association between levels of serum lead (Pb), cadmium (Cd), chromium (Cr), and arsenic (As) and risk of dyslipidemia in children. A total of 4513 children aged 6 to 9 years at 19 primary schools in Shenzhen were enrolled. Overall, 663 children with dyslipidemia were matched 1:1 with control by sex and age, and levels of serum Pb, Cd, Cr, and As were detected by inductively coupled plasma-mass spectrometry. Demographic characteristics and lifestyle were covariates in the logistic regression to determine the association of heavy metal levels with risk of dyslipidemia. Serum Pb and Cd levels were significantly higher in children with dyslipidemia than controls (133.08 vs. 84.19 μg/L; 0.45 vs. 0.29 μg/L; all P < 0.05), but this association was not found in Cr and As. We found significant upward trends for the odds ratios (ORs) of dyslipidemia associated with increasing quartiles of Pb and Cd levels (highest quartile of serum Pb OR 1.86, 95% confidence interval (CI) 1.46-2.38; Cd OR 2.51, 95% CI 1.94-3.24). Elevated serum Pb and Cd levels were associated with increased risk of dyslipidemia among children.
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Affiliation(s)
- Shufan Li
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Ruiguo Liu
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Yueyang Wu
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Rimei Liang
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Zhijiang Zhou
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Jiaqi Chen
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Yingbin You
- Baoan Central Hospital of Shenzhen, No. 233, Xixiang Section, Guangshen Road, Baoan District, Shenzhen, 518102, Guangdong, People's Republic of China
| | - Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Qingying Zhang
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China.
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Peng C, Zhang K, Wang M, Wan X, Chen W. Estimation of the accumulation rates and health risks of heavy metals in residential soils of three metropolitan cities in China. J Environ Sci (China) 2022; 115:149-161. [PMID: 34969445 DOI: 10.1016/j.jes.2021.07.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/06/2021] [Accepted: 07/07/2021] [Indexed: 06/14/2023]
Abstract
Heavy metal concentrations in urban soils are likely to increase over time because of continuous urbanization and heavy metal emissions. To estimate the accumulation rates of heavy metals in urban soils, we collected soil samples from residential areas with different building ages in the metropolitan cities of Shanghai, Shenzhen, and Beijing, China. Heavy metal concentrations in the soils varied among the cities and were primarily affected by soil parent material and the intensity of anthropogenic sources. Regression analyses revealed that the accumulation rates of Cd and Cu in the soils ranged from 0.0034 to 0.0039 mg/(kg•year) and 0.343 to 0.391 mg/(kg•year), respectively, and were similar across the three cities, while accumulation rates of Zn and Pb in Shanghai were higher than those in Shenzhen and Beijing. The higher accumulation rates of Zn and Pb in Shanghai can be explained by differences in city history and industrial structures among the cities. Residential soils with high health risks posed by the heavy metals were mostly collected from old towns of Shanghai because of high Pb content in the areas. Although recent urbanization resulted in elevated concentrations of Cd, Cu, Zn, and Pb in the residential soils, the effect on the total health risks of residents exposed to the soils was negligible.
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Affiliation(s)
- Chi Peng
- Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University, Changsha 410083, China.
| | - Kai Zhang
- State key laboratory of urban and regional ecology, Research center for eco-environmental sciences, Chinese academy of sciences, Beijing 100085, China
| | - Meie Wang
- State key laboratory of urban and regional ecology, Research center for eco-environmental sciences, Chinese academy of sciences, Beijing 100085, China
| | - Xinxing Wan
- Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Weiping Chen
- State key laboratory of urban and regional ecology, Research center for eco-environmental sciences, Chinese academy of sciences, Beijing 100085, China.
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Wang Y, Fan L, Tao R, Zhang L, Zhao W. Research on cropping intensity mapping of the Huai River Basin (China) based on multi-source remote sensing data fusion. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:12661-12679. [PMID: 34554403 DOI: 10.1007/s11356-021-15387-z] [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: 04/27/2021] [Accepted: 07/05/2021] [Indexed: 06/13/2023]
Abstract
As a key input variable to many global climates, land surfaces and crop models, cropping intensity (CI) accurately assesses and predicts crops' output, in view of the global decline in food production in recent years due to declining natural resources, urban expansion and declining quality of arable land. Hence, research on CI mapping can have a contribution to solve this problem. Unfortunately, existing remote sensing data for CI mapping research, including Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat images, are not adequate for obtaining CI information at higher spatial and temporal resolution. In this regard, we develop an algorithm to extract CI based on per-pixel physiognomy. To be specific, the algorithm is based on the Google Earth Engine (GEE) platform and constructs a high temporal (10 days) spatial (30 m) resolution dataset with the fusion of Landsat 7/8 and Sentinel-2 A/B image data and extracts CI information using a time series of peak discovery method, threshold method and phenological period feature extraction to obtain the 2018 Chinese Huai River Basin (HRB) CI map. Our results suggest that the overall accuracy (OA) of CI extraction in the HRB is 92.72%, with a kappa coefficient of 0.864. The single-season crop, double-season crop and three-season crop account for 41.6%, 57.7% and 0.7% of the total farmland area, respectively. Compared to existing CI identification and extraction methods, this approach achieves higher accuracy in the identification and extraction of CI information over a larger area.
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Affiliation(s)
- Yihang Wang
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, People's Republic of China
- National Ecosystem Research Network of China, Henan Dabieshan National Field Observation & Research Station of Forest Ecosystems, Xinyang, 464000, People's Republic of China
- National Demonstration Center for Environment and Planning, Henan University, Kaifeng, 475004, People's Republic of China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, People's Republic of China
- Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization jointly built by Henan Province and Ministry of Education, Henan University, Kaifeng, 475004, People's Republic of China
| | - Lin Fan
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, People's Republic of China
- National Ecosystem Research Network of China, Henan Dabieshan National Field Observation & Research Station of Forest Ecosystems, Xinyang, 464000, People's Republic of China
- National Demonstration Center for Environment and Planning, Henan University, Kaifeng, 475004, People's Republic of China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, People's Republic of China
- Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization jointly built by Henan Province and Ministry of Education, Henan University, Kaifeng, 475004, People's Republic of China
| | - Ranting Tao
- State Key Laboratory of Information Engineering of Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430000, People's Republic of China
| | - Letao Zhang
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, People's Republic of China
- National Ecosystem Research Network of China, Henan Dabieshan National Field Observation & Research Station of Forest Ecosystems, Xinyang, 464000, People's Republic of China
- National Demonstration Center for Environment and Planning, Henan University, Kaifeng, 475004, People's Republic of China
| | - Wei Zhao
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, People's Republic of China.
- National Ecosystem Research Network of China, Henan Dabieshan National Field Observation & Research Station of Forest Ecosystems, Xinyang, 464000, People's Republic of China.
- National Demonstration Center for Environment and Planning, Henan University, Kaifeng, 475004, People's Republic of China.
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, People's Republic of China.
- Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization jointly built by Henan Province and Ministry of Education, Henan University, Kaifeng, 475004, People's Republic of China.
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Wang Y, Liu R, Miao Y, Jiao L, Cao L, Li L, Wang Q. Identification and uncertainty analysis of high-risk areas of heavy metals in sediments of the Yangtze River estuary, China. MARINE POLLUTION BULLETIN 2021; 164:112003. [PMID: 33493857 DOI: 10.1016/j.marpolbul.2021.112003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/21/2020] [Accepted: 12/28/2020] [Indexed: 06/12/2023]
Abstract
In this study, ordinary kriging (OK) and indicator kriging (IK) were used to analyze the uncertainty associated with high-risk areas of seven heavy metals (As, Cd, Cr, Cu, Hg, Pb, and Zn) in sediments of the Yangtze River estuary during four seasons. The OK results showed that the high-risk areas of Cd, Cr, Cu, Hg, and Pb had a high proportion, with the highest corresponding to Cr pollution (up to 60%). Predictions based on IK revealed that the proportion of high-risk areas of Cr, Cd, and Hg pollution were high, especially that of Cr was higher than 90%. However, there were uncertainties between the OK and IK results. The uncertainty results revealed that the uncertainty areas of Cr pollution were relatively large, accounting for about 30%, while those of Cd, Cu, and Hg pollution were lower than 10%.
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Affiliation(s)
- Yifan Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
| | - Yuexi Miao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Lijun Jiao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Leiping Cao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Lin Li
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Qingrui Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
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She S, Hu B, Zhang X, Shao S, Jiang Y, Zhou L, Shi Z. Current Status and Temporal Trend of Potentially Toxic Elements Pollution in Agricultural Soil in the Yangtze River Delta Region: A Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:1033. [PMID: 33503895 PMCID: PMC7908581 DOI: 10.3390/ijerph18031033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 11/22/2022]
Abstract
Potentially toxic elements (PTEs) pollution in the agricultural soil of China, especially in developed regions such as the Yangtze River Delta (YRD) in eastern China, has received increasing attention. However, there are few studies on the long-term assessment of soil pollution by PTEs over large regions. Therefore, in this study, a meta-analysis was conducted to evaluate the current state and temporal trend of PTEs pollution in the agricultural land of the Yangtze River Delta. Based on a review of 118 studies published between 1993 and 2020, the average concentrations of Cd, Hg, As, Pb, Cr, Cu, Zn, and Ni were found to be 0.25 mg kg-1, 0.14 mg kg-1, 8.14 mg kg-1, 32.32 mg kg-1, 68.84 mg kg-1, 32.58 mg kg-1, 92.35 mg kg-1, and 29.30 mg kg-1, respectively. Among these elements, only Cd and Hg showed significant accumulation compared with their background values. The eastern Yangtze River Delta showed a relatively high ecological risk due to intensive industrial activities. The contents of Cd, Pb, and Zn in soil showed an increasing trend from 1993 to 2000 and then showed a decreasing trend. The results obtained from this study will provide guidance for the prevention and control of soil pollution in the Yangtze River Delta.
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Affiliation(s)
- Shufeng She
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China; (S.S.); (B.H.); (X.Z.); (S.S.); (Y.J.); (L.Z.)
| | - Bifeng Hu
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China; (S.S.); (B.H.); (X.Z.); (S.S.); (Y.J.); (L.Z.)
- Department of Land Resource Management, School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang 330013, China
- Institute of Soil Science, French National Institute of Agriculture, INRAE, 45075 Orleans, France
| | - Xianglin Zhang
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China; (S.S.); (B.H.); (X.Z.); (S.S.); (Y.J.); (L.Z.)
| | - Shuai Shao
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China; (S.S.); (B.H.); (X.Z.); (S.S.); (Y.J.); (L.Z.)
| | - Yefeng Jiang
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China; (S.S.); (B.H.); (X.Z.); (S.S.); (Y.J.); (L.Z.)
| | - Lianqing Zhou
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China; (S.S.); (B.H.); (X.Z.); (S.S.); (Y.J.); (L.Z.)
| | - Zhou Shi
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China; (S.S.); (B.H.); (X.Z.); (S.S.); (Y.J.); (L.Z.)
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Tian S, Wang S, Bai X, Zhou D, Luo G, Yang Y, Hu Z, Li C, Deng Y, Lu Q. Ecological security and health risk assessment of soil heavy metals on a village-level scale, based on different land use types. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2020; 42:3393-3413. [PMID: 32342264 DOI: 10.1007/s10653-020-00583-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 04/17/2020] [Indexed: 06/11/2023]
Abstract
Land use affects the accumulation of heavy metals in soil, which will endanger ecological safety and human health. Taking the village as an administrative unit, the ecological safety and health risks of heavy metals, namely, Cr, Cu, Zn, and Pb in soils in the Houzhai River Watershed of Guizhou Province, China, were evaluated based on land use types by the Hakanson potential ecological risk methods and human health risk model. Results showed that the spatial heterogeneity of Cu and Zn was greatly affected by primary structural factors, and Cr and Pb were interfered by both structural factors and human activities. The geo-accumulation index of the heavy metals showed a light pollution in the study area. The comprehensive potential ecological risk of heavy metal in the area was divided into three levels: slight, moderate, and intense, and it is spatially high in the northwest and low in the southeast. Both non-carcinogenic risk and carcinogenic risk of the heavy metals to the human body are not significant and are acceptable. The risks of children are higher than adults, and direct intake is the primary route of exposure in the area. The potential ecological risk and human health risk of soil heavy metals are relatively obviously affected by digital elevation data and normalized vegetation index. The study has certain reference value for the prevention and control of regional soil heavy metal risk.
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Affiliation(s)
- Shiqi Tian
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China
- School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang, 550001, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, 562100, Guizhou Province, China
| | - Shijie Wang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, 562100, Guizhou Province, China
| | - Xiaoyong Bai
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China.
- CAS Center for Excellence in Quaternary Science and Global Change, Xi'an, 710061, Shanxi Province, China.
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University, Guiyang, 550018, China.
| | - Dequan Zhou
- School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang, 550001, China
| | - Guangjie Luo
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University, Guiyang, 550018, China
| | - Yujie Yang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China
- School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang, 550001, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, 562100, Guizhou Province, China
| | - Zeyin Hu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, 562100, Guizhou Province, China
| | - Chaojun Li
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China
- School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang, 550001, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, 562100, Guizhou Province, China
| | - Yuanhong Deng
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, 562100, Guizhou Province, China
| | - Qian Lu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, Guizhou Province, China
- Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding, 562100, Guizhou Province, China
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Taati A, Salehi MH, Mohammadi J, Mohajer R, Díez S. Pollution assessment and spatial distribution of trace elements in soils of Arak industrial area, Iran: Implications for human health. ENVIRONMENTAL RESEARCH 2020; 187:109577. [PMID: 32438097 DOI: 10.1016/j.envres.2020.109577] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 06/11/2023]
Abstract
Emerging industrial hubs have resulted in soil and dust pollution by trace elements, being a potential source and pathway for human exposure to nearby cities. The aim of this study was to determine the spatial distribution, levels, sources and health risk assessment of metals and arsenic in soils of Arak industrial area, Iran. A total of 235 topsoil (0-5 cm) samples were collected from the vicinity of Arak, and the concentrations of As, Zn, Ni, Pb, Cu and Cd were 152, 104, 93, 38, 14 and 1.2 mg kg-1, respectively, and exceeded the background values, with the exception of Cu. Values of pollution indexes revealed that most of the soils are especially enriched by As and Cd. Multivariate statistical analysis showed that Pb and Zn originated from common anthropogenic sources related to industrialization and mining, whereas Cu and Ni are probably associated with geological sources. Cd was mainly derived from the input of agricultural and industrial activities, and As should be attributed to residues in mining. Spatial risk maps showed the high risk of trace elements pollution in the order of As (100%) > Cd (62%) > Ni (12%) > Pb (5%) > Zn (4%) > Cu (0%). The results of the noncarcinogenic risk assessment showed that chronic daily intake in children and adults for ingestion pathway was higher than for dermal contact and inhalation. Values of hazard index (HI) for trace elements were below the safe level (HI ≤ 1), indicating that no noncarcinogenic risk threaten children and adults. Likewise, the total carcinogenic risk of Cd in both groups is less than the EPA threshold (1 × 10-6), indicating a low carcinogenic risk, however As (1 × 10-6 to 1 × 10-4) indicates an acceptable risk.
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Affiliation(s)
- Abbas Taati
- Department of Soil Science, College of Agriculture, Shahrekord University, Shahrekord, Iran
| | - Mohammad Hassan Salehi
- Department of Soil Science, College of Agriculture, Shahrekord University, Shahrekord, Iran
| | - Jahangard Mohammadi
- Department of Soil Science, College of Agriculture, Shahrekord University, Shahrekord, Iran
| | - Reza Mohajer
- Department of Agriculture, Payame Noor University, P.O. Box 19395-3697, Tehran, Iran
| | - Sergi Díez
- Department of Environmental Chemistry, IDAEA-CSIC, c/Jordi Girona, 18-26, E-08034 Barcelona, Spain.
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Hong N, Guan Y, Yang B, Zhong J, Zhu P, Ok YS, Hou D, Tsang DCW, Guan Y, Liu A. Quantitative source tracking of heavy metals contained in urban road deposited sediments. JOURNAL OF HAZARDOUS MATERIALS 2020; 393:122362. [PMID: 32114133 DOI: 10.1016/j.jhazmat.2020.122362] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/31/2020] [Accepted: 02/20/2020] [Indexed: 05/11/2023]
Abstract
Source tracking for heavy metals contained in road deposited sediments (RDS) is essential for pollution control and human health risk management. Previous studies on tracking sources for heavy metals have mostly been qualitative or semi-quantitative. This study quantitatively assessed the relative contributions of eight sources to five typical heavy metals in the urban environment using a chemical mass-balance based stochastic method. The results indicated that tire wear contributed the most masses to RDS (33 ± 26 %) while brake lining dusts contributed the least. Urban soil, tire wear, and brake lining dusts contributed the most to Pb (41 ± 32 %), Zn (28 ± 25 %), and Cu (59 ± 30 %), respectively, while gasoline engine exhaust was the main source of both Cr (29 ± 28 %) and Ni (20 ± 23 %). The outcomes also showed that tire wear and diesel engine exhaust have higher potential to threaten human health risk because they generate high amounts of heavy metals with high bioaccessibility. The research results can also provide a quantitative guidance for taking remediation actions of heavy metal control on urban road surfaces and measuring the effectiveness of those actions.
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Affiliation(s)
- Nian Hong
- College of Chemistry and Environmental Engineering, Shenzhen University, 518060, Shenzhen, China
| | - Yingjie Guan
- College of Chemistry and Environmental Engineering, Shenzhen University, 518060, Shenzhen, China
| | - Bo Yang
- College of Chemistry and Environmental Engineering, Shenzhen University, 518060, Shenzhen, China
| | - Jie Zhong
- College of Chemistry and Environmental Engineering, Shenzhen University, 518060, Shenzhen, China
| | - Panfeng Zhu
- Chair of Urban Water Systems Engineering, Technical University of Munich, Am Coulombwall 3, 85748, Garching, Germany
| | - Yong Sik Ok
- Division of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Deyi Hou
- School of Environment, Tsinghua University, Beijing, 100084, China
| | - Daniel C W Tsang
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Yuntao Guan
- Guangdong Provincial Engineering Technology Research Centre for Urban Water Cycle and Water Environment Safety, Graduate School at Shenzhen, Tsinghua University, 518055, Shenzhen, China
| | - An Liu
- College of Chemistry and Environmental Engineering, Shenzhen University, 518060, Shenzhen, China.
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10
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Heavy-Metal Pollution Characteristics and Influencing Factors in Agricultural Soils: Evidence from Shuozhou City, Shanxi Province, China. SUSTAINABILITY 2020. [DOI: 10.3390/su12051907] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Although soil quality can be highly altered by mining activities, there are few reports on soil pollution in mining cities. We systematically characterized the heavy metals (HMs) pollution, risks, sources, and influencing factors in the surrounding soils of Shuozhou. Specifically, 146 samples were collected, and the potential ecological risk index (RI) and the single-factor index were jointly used to understand the environmental risk of HMs. Meanwhile, correlation analysis was applied to find the influencing factors of HMs. The results of the soil pollution risk assessment in the entire area of Shuozhou were compared with those in the open-pit mine area. (1) The mean concentrations of Cr, As, Cd, Pb, and Hg in our study were found to be higher than the background value. The RI results indicated that most soil samples (82.88%) in Shuozhou had a low potential ecological risk. Compared with the Pingshuo open-pit mine (average RI value: 200.07), the potential ecological RI was lower. (2) The HM correlation indicated that Cr and As were associated with the parent rock, whereas Cd, together with Hg and Pb, were associated with anthropic activities. (3) There was no significant correlation between HM concentrations and farmland slope. Located in the Datong Basin, the terrain of Shuozhou is relatively flat and open and has little impact on the distribution of HMs. (4) Only Hg and Pb have a negative correlation with pH. This suggests that soil with a lower pH value may be beneficial to the accumulation of Hg and Pb in soil. (5) Among the eight industry types examined, the pollution capacity level of the leather, fur, feather, and footwear industries is the strongest, indicating that HMs around LI industry sites represent the maximum level among the eight types.
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11
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Shi C, Yu L, Chai M, Niu Z, Li R. The distribution and risk of mercury in Shenzhen mangroves, representative urban mangroves affected by human activities in China. MARINE POLLUTION BULLETIN 2020; 151:110866. [PMID: 32056646 DOI: 10.1016/j.marpolbul.2019.110866] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 12/22/2019] [Accepted: 12/25/2019] [Indexed: 06/10/2023]
Abstract
Sediments were collected from urban mangroves in Shenzhen, China, including Shajing (SJ) and Xixiang (XX) featured with industrial district; Futian (FT) and Baguang (BG) featured with central business district and ecological preserve, respectively. Distributions, pollution levels and human health risks of Hg were explored. In both surface and vertical sediments, mean Hg concentration was highest in SJ mangrove, which may be due to its proximity to point-source discharge of Maozhou River in Pearl River Estuary, China. Sediment properties (pH, salinity, TOC and particle size) had limited impact on Hg accumulation due to their non-significant correlations. Geo-accumulation index, pollution load index, potential ecological risk index, and the ecological risk assessment code showed the highest ecological risk in SJ mangrove, followed by XX, FT, and BG mangroves. The assessment of human health risks showed that public experience little adverse health risk due to exposure to Hg polluted sediment in urban mangroves.
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Affiliation(s)
- Cong Shi
- Key Laboratory for Heavy Metal Pollution Control and Reutilization, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, PR China
| | - Lingyun Yu
- Key Laboratory for Heavy Metal Pollution Control and Reutilization, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, PR China
| | - Minwei Chai
- Key Laboratory for Heavy Metal Pollution Control and Reutilization, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, PR China
| | - Zhiyuan Niu
- Key Laboratory for Heavy Metal Pollution Control and Reutilization, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, PR China
| | - Ruili Li
- Key Laboratory for Heavy Metal Pollution Control and Reutilization, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, PR China.
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12
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Gong Y, Chai M, Ding H, Shi C, Wang Y, Li R. Bioaccumulation and human health risk of shellfish contamination to heavy metals and As in most rapid urbanized Shenzhen, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:2096-2106. [PMID: 31773527 DOI: 10.1007/s11356-019-06580-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/23/2019] [Indexed: 06/10/2023]
Abstract
Despite the benefits of shellfish consumption, the bioaccumulation of heavy metals in shellfish can endanger consumer's health. The consumption of seafood in Shenzhen (a fast-developing metropolis in China) has received more and more attention. Arsenic (As), cadmium (Cd), copper (Cu), mercury (Hg), and lead (Pb) in ten common shellfish species and associated health risks were analyzed for Shenzhen's consumers by evaluating estimated weekly intake (EWI), non-carcinogenic and carcinogenic health risks to children, adolescents, and adults. In this study, 50 shellfish samples were collected in total. The results showed that the levels of inorganic arsenic (iAs) in Babylonia areolata exceeded the maximum permissible limit set by the food safety guidelines (0.5 mg/kg), while other elements were below the limit in the present guidelines (Ministry of Health of the People's Republic of China, GB 2762-2012). EWI values of children, adolescents, and adults were all lower than provisional tolerable weekly intakes (PTWIs) of all shellfish species. The analysis of total target hazard quotients (TTHQ) showed that the ingested B. areolata in children, adolescents, and adults were all at non-carcinogenic risks; the consumption of Argopecten irradians and Chlamys farreri would pose non-carcinogenic risks for children only. In all age groups, the consumption of A. irradians, B. areolata, C. farreri, and Crassostrea ariakensis would lead to lifetime cancer risk due to Cd bioaccumulation, with toxicity of Pb and iAs to be acceptable and negligible.
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Affiliation(s)
- Yuan Gong
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
| | - Minwei Chai
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
| | - Huan Ding
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
| | - Cong Shi
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
| | - Yao Wang
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
| | - Ruili Li
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China.
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13
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Xu D, Gao B, Chen S, Peng W, Zhang M, Qu X, Gao L, Li Y. Release risk assessment of trace metals in urban soils using in-situ DGT and DIFS model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 694:133624. [PMID: 31401511 DOI: 10.1016/j.scitotenv.2019.133624] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 07/21/2019] [Accepted: 07/26/2019] [Indexed: 06/10/2023]
Abstract
Urbanization and urban construction lead to entensive environmental deterioration. Trace metals in urban soils pose a threat to urban water bodies and local populations. However, the release ability of labile metals and their release risk in urban soils remains unclear. Here, soils were collected from different functional zones in the Pingshan District (PSD) of Shenzhen. Based on results of soil properties, total contents of trace metals, geochemical index (Igeo), and risk assessment code (RAC), diffusive gradients in thin films (DGT) and DGT-induced fluxes in soil (DIFS) model were further used to assess the release risk of trace metals in urban soils. The results showed that the average total concentrations of trace metals (As, Cr, Cu, Pb, and V) were higher than the local soil background values, implying that trace metals accumulated in urban soils. However, the distributions of labile metals determined by DGT were not similar to those of total metal concentrations. Except for As, urban soils from PSD sites exhibited "uncontaminated to moderately contaminated" levels based on the average values of Igeo. Moreover, the pollution and migration of Cu in urban soils are problematic as evidenced by the Igeo and RAC assessments. Release ability of Cu was assessed using parameters of DIFS model (i.e., bioavailability concentrations (CE), resupply ability (R), response time (Tc), desorption rate (k-1), and sorption rate (k1)). Residential areas showed high CE values for Cu, while the resupply ability was low. Furthermore, considering the influences of R, Tc, k-1, and k1, membership function value was used to re-calculate the order of CE in urban soils. The final results suggested that the agricultural zone exhibited the highest release risk among soils from various functional zones. Therefore, DGT and DIFS model should be effective tools to assess the release risk of trace metals in urban soils.
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Affiliation(s)
- Dongyu Xu
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Bo Gao
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
| | - Song Chen
- China Construction Water & Environment Company Limited, Beijing 100037, China
| | - Wenqi Peng
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Min Zhang
- Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Xiaodong Qu
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Li Gao
- Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Yanyan Li
- Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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14
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Gao B, Gao L, Xu D, Zhang M, Qu X, Li Y. A novel method for evaluating the potential release of trace metals associated with rainfall leaching/runoff from urban soils. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 664:37-44. [PMID: 30743129 DOI: 10.1016/j.scitotenv.2019.01.418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 01/14/2019] [Accepted: 01/17/2019] [Indexed: 06/09/2023]
Abstract
The release of pollutants in soils owing to rainfall is a major challenge related to urbanization. Here, urban soils from different functional zones were collected to evaluate the release risk and estimate their annual release amounts of trace metals (Co and Ni) using multiple techniques, including diffusive gradients in thin-films (DGT), DGT-induced fluxes in sediments (DIFS) model, and Fourier-transform infrared (FTIR) spectroscopy. The results indicate that the average concentration of Co (6.55 mg kg-1) was slightly lower than that of the local soil background, whereas for Ni, the trend was reversed. Risk assessments based on total concentrations show that the soil samples were uncontaminated with Co while uncontaminated to moderately contaminated with Ni. However, the mobility coefficients indicate that Co posed low to medium risk, while Ni posed low risk. Hence, further investigation of DGT measurements and DIFS model show that the DGT-measured Co and Ni concentrations were lower than the corresponding concentrations in solution, leading to low R values and the partial resupply of Co and Ni from the solid phase. The FTIR spectra and elemental analysis suggest that because of the electrostatic attraction and complexation of the hydrosilicate minerals and organic matters, the metal resupply was restrained, resulting in them being only a partial resupply. Moreover, the mobility of Co was mainly controlled by the resupply ability, response time, and desorption rate; while for Ni, the particle concentration and porosity played important roles in determining mobility. In addition, the release amounts of the trace metals were quantified using the binary mixing equation. The estimated annual release amounts of Co and Ni in Pingshan District were 0.44-3.54 t and 1.93-16.47 t, respectively. This study provides an effective in-situ method for estimating the release amounts of trace metals in soils during rainfall combining DGT and DIFS model.
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Affiliation(s)
- Bo Gao
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
| | - Li Gao
- Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Dongyu Xu
- Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Min Zhang
- Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Xiaodong Qu
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Yanyan Li
- Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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15
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Wu S, Li R, Xie S, Shi C. Depth-related change of sulfate-reducing bacteria community in mangrove sediments: The influence of heavy metal contamination. MARINE POLLUTION BULLETIN 2019; 140:443-450. [PMID: 30803665 DOI: 10.1016/j.marpolbul.2019.01.042] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 01/13/2019] [Accepted: 01/21/2019] [Indexed: 06/09/2023]
Abstract
This study provides new insight towards the effects of heavy metal contamination on sulfate-reducing bacteria (SRB) in mangrove ecosystem. We investigated SRB communities in mangrove sediments (0-30 cm depth) from Futian, Xixiang and Shajing mangrove wetlands in Shenzhen, China, with different heavy metal contamination levels. The results showed that SRB community abundance (1.71 × 107-3.04 × 108 dsrB gene copies g-1 wet weight sediment) was depth-related and significantly correlated with Cd and Ni concentrations. The α-diversity indices of SRB community (Chao1 = 21.25-84.50, Shannon = 2.31-2.96) were significantly correlated with Cd level in mangrove sediments. Desulfobacteraceae, Desulfobulbaceae and Syntrophobacteraceae acted as major SRB groups in mangrove sediments, and Syntrophobacteraceae was most sensitive to metal contamination. UniFrace clustering analysis revealed that SRB community structure was influenced by the heavy metal concentrations. Moreover, redundancy analysis indicated that Cd and total phosphorus were the major environmental factors affecting the SRB structure in mangrove sediments.
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Affiliation(s)
- Sijie Wu
- School of Environment and Energy, Shenzhen Graduate School of Peking University, Shenzhen 518055, Guangdong, China.
| | - Ruili Li
- School of Environment and Energy, Shenzhen Graduate School of Peking University, Shenzhen 518055, Guangdong, China.
| | - Shuguang Xie
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Cong Shi
- School of Environment and Energy, Shenzhen Graduate School of Peking University, Shenzhen 518055, Guangdong, China
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16
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Chai M, Li R, Ding H, Zan Q. Occurrence and contamination of heavy metals in urban mangroves: A case study in Shenzhen, China. CHEMOSPHERE 2019; 219:165-173. [PMID: 30537589 DOI: 10.1016/j.chemosphere.2018.11.160] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 11/21/2018] [Accepted: 11/25/2018] [Indexed: 06/09/2023]
Abstract
Urban mangroves are affected by surrounding anthropogenic activities. Heavy metals in urban mangroves lack systematic evaluation, and their relationships with surrounding anthropogenic activities have not been explored with quantified data. In this study, urban mangroves with different urban functional zonings were selected in Shenzhen, South China, including: Shajing mangrove (SJM) and Xixiang mangrove (XXM) featured with industry district, Futian mangrove (FTM) and Baguang mangrove (BGM) featured with central business district and ecological preserve, respectively. The distribution, ecological risk, and pollution sources of heavy metals were determined. Heavy metals' relationships with surrounding functional zonings were also explored. The levels of Cu, Zn, Pb, Ni and Cr in SJM were significantly higher than the other mangrove stands, which may be related to its proximity to point-source discharges of Maozhou River in Pearl River Estuary, China. Potential ecological risk index, pollution load index, mean PEL quotient, mean effect range median quotient, and total toxic unit showed the highest ecological risk in SJM, followed by XXM, FTM, and BGM. With the order of BGM - FTM - XXM - SJM, Zn, Ni, and Cr presented dominantly in the labile fraction, demonstrating increased anthropogenic impacts. Heavy metals in FTM and BGM were mainly from anthropogenic and lithogenic originations, with only anthropogenic origination of heavy metals to be detected in SJM and XXM. Heavy metal pollution was highest in SJM featured with industry district, and metal products industry in surrounding district should attract special attention due to its affinity for heavy metal accumulation in urban mangroves.
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Affiliation(s)
- Minwei Chai
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
| | - Ruili Li
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China.
| | - Huan Ding
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
| | - Qijie Zan
- Guangdong Neilingding Futian National Nature Reserve, Shenzhen, 518000, China
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17
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Liu M, Han Z, Yang Y. Accumulation, temporal variation, source apportionment and risk assessment of heavy metals in agricultural soils from the middle reaches of Fenhe River basin, North China. RSC Adv 2019; 9:21893-21902. [PMID: 35518884 PMCID: PMC9066512 DOI: 10.1039/c9ra03479j] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Accepted: 07/09/2019] [Indexed: 12/05/2022] Open
Abstract
The Fenhe River basin is the main agricultural and industrial developed area in Shanxi province, China. In recent years, agricultural non-point source pollution in the Fenhe River basin intensified, threatening soil quality and safety in the area. Accumulation of eight heavy metals (HMs) including chromium (Cr), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd), lead (Pb) and mercury (Hg) has been detected in soil samples from 50 agricultural sites (0–20 cm) from the middle reaches of the Fenhe River basin. The ecological and human health risk and potential sources of the eight HMs were investigated. In addition, the human health and ecological risks imposed by the possible sources of the eight HMs were quantitatively apportioned. The enrichment factor (EF) values of Cr, Ni, Cu, Pb and Zn were lower than 2, indicating minimal enrichment, while values for As, Cd and Hg were between 2 and 5, exhibiting moderate enrichment. Temporal variation analysis suggested that most HMs in the study area exhibited low concentrations after 2015, except As. The potential ecological risk index was 174.09, indicating low ecological risk. The total hazard index and cancer risk values were 0.395 and 5.35 × 10−4 for adults and 2.75 and 3.63 × 10−4 for children, indicating the accepted standard levels were exceeded for non-carcinogenic risk for children and carcinogenic risks for both adults and children. Four potential sources were identified: (1) natural sources, (2) farming activities, (3) coal combustion, and (4) exhaust emissions. Natural sources represented the largest contributor to ecological risk, accounting for 57.42% of the total. Coal combustion was the major contributor to human health risks, accounting for 43.27% and 43.73% of the total non-carcinogenic risk and carcinogenic risk for adults, respectively, and 42.72% and 43.88% for children, respectively. The Fenhe River basin is the main agricultural and industrial developed area in Shanxi province, China.![]()
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Affiliation(s)
- Minxia Liu
- College of Forestry
- Shanxi Agricultural University
- Taigu
- China
| | - Zhiqiang Han
- Periodical Press of Shanxi Agricultural University
- Taigu
- China
| | - Yuyi Yang
- Key Laboratory of Aquatic Botany and Watershed Ecology
- Wuhan Botanical Garden
- Chinese Academy of Sciences
- Wuhan
- China
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18
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Chai M, Li R, Shi C, Shen X, Li R, Zan Q. Contamination of polybrominated diphenyl ethers (PBDEs) in urban mangroves of Southern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 646:390-399. [PMID: 30055499 DOI: 10.1016/j.scitotenv.2018.07.278] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/19/2018] [Accepted: 07/19/2018] [Indexed: 06/08/2023]
Abstract
Mangroves are threatened due to urban development and human activities in coastal regions. Four urban mangroves in Shenzhen (rapidly developing city of China) were selected according to urban functional zoning, namely, Shajing mangrove (SJM) and Xixiang mangrove (XXM) featured with industry district, Futian mangrove (FTM) and Baguang mangrove (BGM) featured with central business district and ecological preserve. Eight BDE congeners (BDE-28, -47, -99, -100, -153, -154, -183, and -209) in mangrove sediments and leaves were determined. The highest level of BDE-209 in SJM was proximate to areas of point-source discharges of Dongbao River in Pearl River Estuary, China. Total organic carbon (TOC) was influential in BDE-209 accumulations in SJM, XXM, and FTM. Multiple variate analysis implied that PBDEs in SJM, XXM and FTM mainly composed of penta-, octa-, and deca-BDEs, with surface runoff to be the main contamination sources; while BGM was contaminated by penta- and octa-BDEs. Ecological risk of BDE-209 was high in SJM, with medium/negligible risk in the other urban mangroves. The transfers of BDE-209 from sediment to leaf were weak (BGM and FTM), improved (XXM), and restricted (SJM), respectively. This is the first reports of spatial distribution and bioaccumulation of PBDEs in urban mangroves featured with different urban functional zonings. More attention is required to reduce emission of PBDEs into the environment and manage PBDEs contamination in urban mangroves.
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Affiliation(s)
- Minwei Chai
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Ruili Li
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
| | - Cong Shi
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Xiaoxue Shen
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Rongyu Li
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Qijie Zan
- Guangdong Neilingding Futian National Nature Reserve, Shenzhen 518000, China
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19
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Aminiyan MM, Baalousha M, Aminiyan FM. Evolution of human health risk based on EPA modeling for adults and children and pollution level of potentially toxic metals in Rafsanjan road dust: a case study in a semi-arid region, Iran. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:19767-19778. [PMID: 29736653 DOI: 10.1007/s11356-018-2176-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Accepted: 04/30/2018] [Indexed: 06/08/2023]
Abstract
Humans can be directly exposed to potentially toxic metals in the urban environment via inhalation, ingestion, or dermal contact of dust particles. This paper focuses on human health risk assessment of urban dust contaminated with potentially toxic metals. The levels, sources, and human health risks of nine potentially toxic metals (i.e., As, Cd, Cu, Cr, Ni, Pb, Co, Mn, and Zn) in 200 road dust samples from Rafsanjan area were investigated. Pollution level was assessed using the pollution index (PI) and geoaccumulation index (Igeo), and the health risk assessment was performed following the methodology described by the US Environmental Protection Agency. The mean concentrations of As, Cu, Pb, Cd, Cr, Ni, Zn, Co, and Mn in road dust were 105.3 ± 5.7, 791.4 ± 29.8, 123.1 ± 9.7, 28.4 ± 3.3, 3.1 ± 0.6, 18.4 ± 1.6, 252.6 ± 8.3, 16.5 ± 1.4, and 525.9 ± 21.0 mg kg-1, respectively. Thus, the concentrations of potentially toxic metals in road dust were higher than their corresponding natural background values, indicating that all studied potentially toxic metals were impacted by anthropogenic activities. The results of the current study are comparable to other studies conducted on road dust in other cities worldwide. Both of Igeo and PI decreased following order Cu > Mn > Pb > As > Zn > Cd > Ni > Cr > Co. Health risk assessment indicated that both of children and adults could be exposed to a potential increased risk of developing cancer over a lifetime from exposure to arsenic through ingestion of the dust samples. However, Pb ingestion can increase cancer risk in children.
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Affiliation(s)
- Milad Mirzaei Aminiyan
- College of Agriculture, Soil Science Department, Bu-Ali Sina University, Azadegan Street, Hamedan, 6517833131, Iran.
| | - Mohammed Baalousha
- Center for Environmental Nanoscience and Risk, Arnold School of Public Health, University South Carolina, Columbia, SC, USA
| | - Farzad Mirzaei Aminiyan
- Civil Engineering Department, College of Engineering, Vali-e-Asr Rafsanjan University, Rafsanjan, Iran
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Xu DM, Yan B, Chen T, Lei C, Lin HZ, Xiao XM. Contaminant characteristics and environmental risk assessment of heavy metals in the paddy soils from lead (Pb)-zinc (Zn) mining areas in Guangdong Province, South China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:24387-24399. [PMID: 28891003 DOI: 10.1007/s11356-017-0052-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 08/29/2017] [Indexed: 06/07/2023]
Abstract
In November 2016, the total metal concentrations in nine representative locations in lead (Pb)-zinc (Zn) mining areas, located in Guangdong Province, South China, were determined experimentally by flame atomic absorption spectrometer. The results indicated that the paddy soils were heavily contaminated with Cd (20.25 mg kg-1), Pb (1093.03 mg kg-1), and Zn (867.0 mg kg-1), exceeding their corresponding soil quality standard values and background values. According to the results, the mean enrichment factor levels of the studied metals decreased in the following order: Cd > Zn > Pb > Cu > Ni > Mn > Cr. Among these metals, Cd, Pb, and Zn were predominantly influenced by widespread anthropogenic activities. The highest concentrations of the studied metal pollutants were distributed in the areas surrounding the mining activity district. Multivariate statistical analysis indicated that the major contributing sources of the studied metals were metal ore mining, smelting, and processing activities. However, the composition of soil background was another potential source. Moreover, the assessment results of environment risks showed that the potential ecological risks, in decreasing order, were Cd > Pb > Zn > Cu > Ni > Cr > Mn. Additionally, the non-carcinogenic risk represented the trend of HI Pb > HI Mn > HI Zn > HI Cu , and the carcinogenic risk ranked as CR Cr > CR Cd > CR Ni . Among the environmental risk substances, Cd and Pb were the main contributors that pose ecological harm and health hazards through their serious pollution. Consequently, greater attention should be paid to this situation.
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Affiliation(s)
- Da-Mao Xu
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
- Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, 100082, People's Republic of China
| | - Bo Yan
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China.
- Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China.
| | - Tao Chen
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
- Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
| | - Chang Lei
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
- Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
| | - Han-Zhi Lin
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
- Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
- University of Chinese Academy of Sciences, Beijing, 100082, People's Republic of China
| | - Xian-Ming Xiao
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
- Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, People's Republic of China
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21
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Hu B, Wang J, Jin B, Li Y, Shi Z. Assessment of the potential health risks of heavy metals in soils in a coastal industrial region of the Yangtze River Delta. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:19816-19826. [PMID: 28685341 DOI: 10.1007/s11356-017-9516-1] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 06/12/2017] [Indexed: 06/07/2023]
Abstract
Soil heavy metal contamination is a serious environmental problem. Human beings may be directly exposed to heavy metals in soils through the inhalation of soil particles, dermal contact, and oral ingestion, which can seriously threaten health. This study assesses the health risks associated with heavy metals in soils by determining the concentrations of eight heavy metals (Cr, Pb, Cd, Hg, As, Cu, Zn, and Ni) based on 2051 surface-soil samples collected from the southern Yangtze River Delta of China. The mean concentrations were higher than the corresponding background values in Zhejiang Province and China as a whole, indicating an accumulation of heavy metals. The health risk assessment suggests that the non-carcinogenic and carcinogenic risks in the study area were not significant. The non-carcinogenic risk for children was the highest, followed by those for adults and seniors; the non-carcinogenic risk for the entire population was less than 1.0, the predetermined threshold. Carcinogenic risk for adults was the highest, followed by those for seniors and children; a few sample points had a value larger than the threshold of 1.0E-04. Arsenic represented the greatest contribution to non-carcinogenic and carcinogenic risk. Meanwhile, ingestion of heavy metals in soil was the main exposure pathway for carcinogenic risk, followed by inhalation and dermal exposure. The spatial method of Getis-Ord was used to identify hot spots of health risk. Hot spots with high hazard index (HI) and total carcinogenic risk (TCR) for children, adults, and seniors were mainly distributed in core urban areas, such as Jiangbei, Haishu, Yinzhou, Jiangdong, and the urban areas of some other counties, which coincided with industrial, mining, and urban areas of the study area and were strongly influenced by anthropogenic activities. These results provide a basis for heavy metal control in soil, source identification, and environment management in the Yangtze River Delta and other rapidly developing industrial regions in China.
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Affiliation(s)
- Bifeng Hu
- Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou, 310029, China
| | - Jiayu Wang
- Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou, 310029, China
| | - Bin Jin
- Ningbo agricultural food safety Management Station, Ningbo, 315000, China
| | - Yan Li
- Institute of Land Science and Property Management, School of Public Affairs, Zhejiang University, Hangzhou, 310058, China.
- School of Public Affairs, Zhejiang University, No. 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
| | - Zhou Shi
- Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou, 310029, China
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Al-Wabel MI, Sallam AEAS, Usman ARA, Ahmad M, El-Naggar AH, El-Saeid MH, Al-Faraj A, El-Enazi K, Al-Romian FA. Trace metal levels, sources, and ecological risk assessment in a densely agricultural area from Saudi Arabia. ENVIRONMENTAL MONITORING AND ASSESSMENT 2017; 189:252. [PMID: 28474201 DOI: 10.1007/s10661-017-5919-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 03/23/2017] [Indexed: 06/07/2023]
Abstract
The present study was conducted in one of the most densely cultivated area of Al-Qassim region in Kingdom of Saudi Arabia to (i) monitor trace metal (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) contents in surface and subsurface soils, (ii) assess the pollution and potential ecological risk levels of trace metals, and (iii) identify trace metal sources using enrichment factor (EF), correlation matrix, and principal component analysis (PCA). The pollution levels of the analyzed trace metals calculated by the geoaccumulation index (I geo) and contamination factor (C f) suggested that the soils were highly contaminated with Cd and moderately contaminated with Pb. Based on the average values of EF, soil samples were found to present extremely high enrichment for Cd, significant enrichment for Pb, moderate enrichment for Zn, and deficient to minimal enrichment for other trace metals. Among the analyzed trace metals, a very high ecological risk was observed only in the case of Cd at some sampling sites. Meanwhile, other investigated trace metals had a low ecological risk. The results of PCA combined with correlation matrix suggested that Fe, Mn, Zn, Cu, Cr Ni, Cu, and Co represent natural abundance in soil, but Cd, Pb, and Cu are of anthropogenic inputs, mainly due to agrochemical and fertilizer applications. It could be generally concluded that the obtained results can be useful for assessing and conducting a future program for trace metal monitoring in agricultural areas of Saudi Arabia.
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Affiliation(s)
- Mohammad I Al-Wabel
- Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia.
| | - Abd El-Azeem S Sallam
- Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Adel R A Usman
- Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia
- Soils and Water Department, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt
| | - Mahtab Ahmad
- Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Ahmed Hamdy El-Naggar
- Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia
- Soil Sciences Department, Faculty of Agriculture, Ain Shams University, P. O. Box, Cairo, 11241, Egypt
| | - Mohammed Hamza El-Saeid
- Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Abdulelah Al-Faraj
- Agriculture Engineering Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Khaled El-Enazi
- Soil Sciences Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Kingdom of Saudi Arabia
| | - Fahad A Al-Romian
- Promising Researches Center in Biological Control and Agricultural Information, Al-Qassim, Saudi Arabia
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