Ecological risk, source apportionment, and influencing factors of heavy metals in soil in a typical lead-zinc mining watershed, Guangxi, China

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112731 - 112731

Published: April 18, 2024

Language: Английский

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An integrated framework for identifying primary risk contributors and risk zones of combined soil pollution in an industrial city

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: 13(2), P. 115607 - 115607

Published: Jan. 31, 2025

Language: Английский

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A meta-analysis and experimental survey of heavy metals pollution in agricultural soils

Journal of Trace Elements and Minerals, Journal Year: 2024, Volume and Issue: 9, P. 100180 - 100180

Published: June 18, 2024

Heavy metal (HM) pollution in agricultural soils represents a hidden danger to food security worldwide. In this paper, the spatio-temporal trends of heavy metals from eight countries and 50 soil samples farmland were evaluated through combination field surveys meta-analysis provide comprehensive report on pollution. The analysed using inductively coupled plasma–mass spectrometry (ICP-MS) (Perkin Elmer Nixon 300Q). contamination factor (CF) load index (PLI) calculated. results CF indicate extreme for Cr, suggesting ecotoxicological effects, while PLI values range baseline moderate Cd, Hg, Cu, Zn, Ni, except which shows very high pollution, that oils have undergone some form deterioration. reviewed articles published between 2010 2023 showed increasing all HMs. weighted mean As, Ni 0.0-222.7, 0.08-289.2, 0.03-193, 2.94-198.1, 0.0-771.1, 0.0-231, 1.71-99.75.6 mg/kg, respectively. Zn As exceeded two three times China National Environmental Monitoring Centre (CNEMC) European Union's most cited guideline (MEF), rock crust guideline. correlation matrix heatmap revealed highly positive Cr (R2 = 0.66), these elements same source are likely prevalent soils. spatial origin publications reveals 82% studies followed by South Africa Italy accounting 4% respectively Nigeria, Egypt, Morocco, Iran, Turkey account 2% each. findings study important implications environmental regulation protection Unlike previous often adopt "silos" method, highlights nexus approach integrates both experimental could establish more understanding

Language: Английский

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Source-sink response analysis of heavy metals and soil pollution assessment in non-ferrous metal industrial agglomeration areas based on decision unit

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167437 - 167437

Published: Sept. 27, 2023

Language: Английский

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High-resolution risk mapping of heavy metals in soil with an integrated static-dynamic interaction model: A case study in an industrial agglomeration area in China

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 455, P. 131650 - 131650

Published: May 16, 2023

Language: Английский

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A remote sensing analysis method for soil heavy metal pollution sources at site scale considering source-sink relationships

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174021 - 174021

Published: June 17, 2024

Language: Английский

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Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175746 - 175746

Published: Aug. 23, 2024

Language: Английский

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Human Health Risk Assessment of Potentially Toxic Elements in Soil and Rice Grains (Oryza Sativa) Using a Combination of Probabilistic Indices and Carcinogenic Risk Modelling

Published: Jan. 1, 2025

Agricultural soils and crops are increasingly vulnerable to contamination by potentially toxic elements (PTEs), exacerbated anthropogenic activities. This study aimed evaluate the human health risks associated with PTEs (Cd, Cr, Hg, Cu, As, Zn, Ni) in agricultural soil rice grains from different cultivated paddy Northern Cameroon. In this research, a modified Susceptible-Infected-Removed-Susceptible (SIRS) model, based on mathematical derivatives, was employed alongside carcinogenic non-carcinogenic risk assessment method through various indices. A total of 100 samples including (Oryza sativa) were analysed using inductively coupled plasma–mass spectrometry (ICP-MS) (Perkin Elmer Nixon 300Q). The mean concentration Cr (43.56 mg/kg) Vele, as well (43.48 Ni (36.24 Zoulla, exceeded geochemical background values. concentrations Cd, Ni, Zn within limits set WHO/FAO, except for Djogoidi, which WHO/FAO recommended value 0.1 mg/kg. Additionally, content Droumka twice high value. Similarly, bioaccumulation factor (BAF) (3.53 mg/kg), Cu (3.25 (2. 59 Djogoidi Cd (4.44 (3.22 (2.44 one two-fold higher than 1 denoting potential bioaccumulates metals grains. Also, (CRFS) indicates Hi (4.49E+02) children exceeding critical (threshold = 1) carcinogenicity standards, indicating very risk. results dynamic model also confirm susceptibility mortality over time due ingestion contaminated crops. is particularly evident following PTEs: show an increasing trend I_h (t), increase, α 0.25. Therefore, targeted mitigation measures necessary be adopted food protection pollution area.

Language: Английский

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Human Health Risk Assessment of Potentially Toxic Elements in Soils and Rice Grains (Oryza sativa) Using a Combination of Probabilistic Indices and Carcinogenic Risk Modelling

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: 18, P. 100664 - 100664

Published: Feb. 26, 2025

Language: Английский

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Evaluation of machine learning models for accurate prediction of heavy metals in coal mining region soils in Bangladesh

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(5)

Published: April 23, 2025

Language: Английский

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