The sources risk assessment combined with APCS/MLR model for potentially toxic elements in farmland of a first-tier city, China-Reference-Cited by-同舟云学术

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The sources risk assessment combined with APCS/MLR model for potentially toxic elements in farmland of a first-tier city, China

Published:2022-03-03 Issue:33 Volume:29 Page:50717-50726
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Li Ning,Li Yan^ORCID,Wang Genmei,Zhang Huanchao,Zhang Xiangling,Wen Jiale,Cheng Xinyu

Funder

Independent Innovation of Agricultural Science and Technology in Jiangsu Province

Jiangsu Social Development Project

National Natural Science Foundation of China

General Projects of Natural Science Research in Colleges and Universities of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-022-19325-5.pdf

Reference37 articles.

1. Burges A, Epelde L, Garbisu C (2015) Impact of repeated single-metal and multi-metal pollution events on soil quality. Chemosphere 120:8–15. https://doi.org/10.1016/j.chemosphere.2014.05.037

2. Cheng G, Wang M, Chen Y, Gao W (2020) Source apportionment of water pollutants in the upstream of Yangtze River using APCS–MLR. Environ Geochem Health 42:3795–3810. https://doi.org/10.1007/s10653-020-00641-z

3. China Environmental Monitoring Station (1990) Background Values of Soil Elements in China. China Environmental Science Press

4. Fei X, Xiao R, Christakos G, Langousis A, Ren Z, Tian Y, Lv X (2019) Comprehensive assessment and source apportionment of heavy metals in Shanghai agricultural soils with different fertility levels. Ecol Indic 106:105508. https://doi.org/10.1016/j.ecolind.2019.105508

5. Gholizadeh MH, Melesse AM, Reddi L (2016) Water quality assessment and apportionment of pollution sources using APCS–MLR and PMF receptor modeling techniques in three major rivers of South Florida. Sci Total Environ 566–567:1552–1567. https://doi.org/10.1016/j.scitotenv.2016.06.046

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1. A Monte Carlo simulation-based health risk assessment of heavy metals in soils of the tropical region in southern China;Environmental Geochemistry and Health;2024-06-07

2. Spatial variability and source analysis of soil heavy metals: A case study of the key planting area of special agricultural products in Cangxi County, China;PLOS ONE;2024-05-10

3. Risk assessment of heavy metals in agricultural soil based on the coupling model of Monte Carlo simulation-triangular fuzzy number;Environmental Geochemistry and Health;2024-01-31

4. Health risk assessment of heavy metal pollution and its sources in agricultural soils near Hongfeng Lake in the mining area of Guizhou Province, China;Frontiers in Public Health;2023-11-10

5. Receptor model-based source apportionment and ecological risk assessment of metals in sediment of river Ganga, India;Marine Pollution Bulletin;2023-10

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