Potential hazards of biochar: The negative environmental impacts of biochar applications

Journal of Hazardous Materials, Год журнала: 2021, Номер 420, С. 126611 - 126611

Опубликована: Июль 9, 2021

Язык: Английский

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Heavy metal pollution levels, source apportionment and risk assessment in dust storms in key cities in Northwest China

Journal of Hazardous Materials, Год журнала: 2021, Номер 422, С. 126878 - 126878

Опубликована: Авг. 11, 2021

Язык: Английский

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Pollution assessment and source apportionment of heavy metals in soil from lead – Zinc mining areas of south China

Journal of environmental chemical engineering, Год журнала: 2023, Номер 11(2), С. 109320 - 109320

Опубликована: Янв. 13, 2023

Язык: Английский

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A Monte Carlo simulation-based health risk assessment of heavy metals in soils of an oasis agricultural region in northwest China

The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159543 - 159543

Опубликована: Окт. 20, 2022

Язык: Английский

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Spatial distribution, contamination characteristics and ecological-health risk assessment of toxic heavy metals in soils near a smelting area

Environmental Research, Год журнала: 2023, Номер 222, С. 115328 - 115328

Опубликована: Янв. 21, 2023

Язык: Английский

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Heavy metal accumulation in the surrounding areas affected by mining in China: Spatial distribution patterns, risk assessment, and influencing factors

The Science of The Total Environment, Год журнала: 2022, Номер 825, С. 154004 - 154004

Опубликована: Фев. 19, 2022

Язык: Английский

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Source apportionment of soil heavy metals based on multivariate statistical analysis and the PMF model: A case study of the Nanyang Basin, China

Environmental Technology & Innovation, Год журнала: 2024, Номер 33, С. 103537 - 103537

Опубликована: Янв. 10, 2024

Analyzing the spatial variation characteristics of heavy metals in soil and identifying their sources is crucial for preventing, controlling, managing regional environmental pollution. In this study, 5778 surface samples were collected from Nanyang Basin. The content five (As, Cr, Cd, Hg, Pb) determined analyzed. distribution these investigated using inverse distance interpolation autocorrelation analysis. Additionally, qualitatively quantitatively explored through PCA PMF models. results revealed that mean values all elements, except As exceeded country background values. Spatially, metal elements showed evident heterogeneity autocorrelation, with obvious differences between western eastern regions, where concentrations generally higher west lower east. Four identified study area: mining sources, natural transportation a combined source atmospheric deposition agricultural activities. element was primarily derived (80.90%). Cr influenced by multiple factors, mainly (66.20%) (31.80%).Transportation (46.30%) (44.80%) primary influences on Cd. Pb (64.70%) (18.11%). Hg both coal combustion activities (90.50%).

Язык: Английский

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Sources apportionments of heavy metal(loid)s in the farmland soils close to industrial parks: Integrated application of positive matrix factorization (PMF) and cadmium isotopic fractionation

The Science of The Total Environment, Год журнала: 2024, Номер 924, С. 171598 - 171598

Опубликована: Март 8, 2024

Язык: Английский

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From soil to health hazards: Heavy metals contamination in northern India and health risk assessment

Chemosphere, Год журнала: 2024, Номер 354, С. 141697 - 141697

Опубликована: Март 12, 2024

Язык: Английский

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Health risk assessment of soil heavy metals in a typical mining town in north China based on Monte Carlo simulation coupled with Positive matrix factorization model

Environmental Research, Год журнала: 2024, Номер 251, С. 118696 - 118696

Опубликована: Март 16, 2024

Язык: Английский

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