Risk Assessment of Heavy Metals in Typical Karst Soils and Analysis of Potential Influencing Factors DOI

Sijing Sun,

Junlei Wang,

Liyuan Mu

et al.

Published: May 22, 2025

Abstract The southwestern region of Yunnan Province, China, is characterized by typical karst landforms, where the elevated concentration soil heavy metals has had significant impacts on local environment. objective this study was to investigate spatial distribution (Cu, Zn, Pb, Cd, and Cr) identify influencing factors in target area using geo-detector interpolation techniques. average chromium (Cr) exceeded background level elements being 1.35 times higher than value. concentrations other did not exceed levels, although individual sampling points showed values above standard. In terms distribution, high-concentration areas for all five were primarily located central part area. GeoDetector analysis revealed that pH, organic matter, GDP, evapotranspiration, rainfall, land-use type main metal. Interaction detector results factor interactions led either non-linear or two-factor enhancement. Among Cu, strongest interacting combination found between pH carbon (OC). This clarifies affecting metal regions provides a scientific evaluation method decision-making support similar with high values. findings hold value practical implications.

Language: Английский

Characterization and potential use of Djiboutian clays: Adsorption studies for the removal of heavy metal from wastewater DOI
M.O. Awaleh,

Youssouf Djibril Soubaneh,

Leila Farah Adawe

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2025, Volume and Issue: unknown, P. 103898 - 103898

Published: March 1, 2025

Language: Английский

Citations

0

Potential function of plant-growth-promoting endophytic Serratia fonticola CPSE11 from Codonopsis pilosula in phytoremediation of Cadmium ion (Cd2+) DOI
Mingjun Yang,

Yunxing Fu,

Hu Shu

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124994 - 124994

Published: March 20, 2025

Language: Английский

Citations

0

Spatial distribution, sources and health risk assessment of heavy metals in shallow groundwater in a typical coal mining area in Huainan, China DOI Creative Commons
Lei Han, Jie Ma,

Qimeng Liu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Abstract The availability of uncontaminated groundwater is pivotal significance for the sustainable sustenance human development. High concentrations heavy metals in can pose substantial risks to health. This study explores spatial distribution patterns, sources pollution, and health risk assessment (Mn, Ni, U, Zn, V, Cu, Cr, Cd Pb) shallow Huainan coal mining area China. Mn Ni were found be relatively high. characteristics analyzed using inverse distance weighting, revealing that Cd, Pb U was similar, suggesting typical point source pollution. PMF model indicated activities, industrial local geogenic processes main factors affecting quality, with contributions 42.76%, 440.78% 16.46%, respectively. results demonstrate non-carcinogenic each metal within safety threshold; however, carcinogenic posed by should not overlooked. It observed values children exceed those adults. Consequently, must undergo specific purification measures before utilization. findings this offer a scientific foundation ensuring quality drinking water plain areas affected mining.

Language: Английский

Citations

0

Geochemical pattern, quality and driving forces of multi-layer groundwater in a high-capacity mining area basin: A comprehensive analysis based on the interweaving of multiple factors DOI

He Cui,

Limin Duan, Hao Pan

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133376 - 133376

Published: April 1, 2025

Language: Английский

Citations

0

Advanced Three-Dimensional Prediction Model Based on Stable Machine Learning for Soil Pollution: A Case Study from a Contaminated Site in Southern China DOI
Meiying Wang, Wenhao Zhao,

Xiaochen Wu

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 494, P. 138561 - 138561

Published: May 9, 2025

Language: Английский

Citations

0

Risk Assessment of Heavy Metals in Typical Karst Soils and Analysis of Potential Influencing Factors DOI

Sijing Sun,

Junlei Wang,

Liyuan Mu

et al.

Published: May 22, 2025

Abstract The southwestern region of Yunnan Province, China, is characterized by typical karst landforms, where the elevated concentration soil heavy metals has had significant impacts on local environment. objective this study was to investigate spatial distribution (Cu, Zn, Pb, Cd, and Cr) identify influencing factors in target area using geo-detector interpolation techniques. average chromium (Cr) exceeded background level elements being 1.35 times higher than value. concentrations other did not exceed levels, although individual sampling points showed values above standard. In terms distribution, high-concentration areas for all five were primarily located central part area. GeoDetector analysis revealed that pH, organic matter, GDP, evapotranspiration, rainfall, land-use type main metal. Interaction detector results factor interactions led either non-linear or two-factor enhancement. Among Cu, strongest interacting combination found between pH carbon (OC). This clarifies affecting metal regions provides a scientific evaluation method decision-making support similar with high values. findings hold value practical implications.

Language: Английский

Citations

0