A Comprehensive Study of Spatial Distribution, Pollution Risk Assessment, and Source Apportionment of Topsoil Heavy Metals and Arsenic DOI Creative Commons
Honghua Chen, Xinxin Sun,

Longhui Sun

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2151 - 2151

Published: Dec. 10, 2024

Accurately identifying pollution risks and sources is crucial for regional land resource management. This study takes a certain coastal county in eastern China as the object to explore spatial distribution, risk, source apportionment of heavy metals topsoil. A total 633 samples were collected from topsoil with depth ranging 0 20 cm, which came different topographical use types (e.g., farmland, industrial areas, mining areas), concentrations HMs As measured by using atomic fluorescence spectrometry inductively coupled plasma mass spectrometry. Firstly, distribution soil (Cd, Cr, Hg, Ni, Pb) arsenic (As) was predicted incorporating environmental variables strongly affecting formation into geostatistical methods machine learning approaches. Then, various indicators employed conduct evaluations, potential ecological risk assessments implemented based on generated map. Finally, conducted random forest (RF), absolute principal component score–multiple linear regression (APCS-MLR), correlation analysis, As. Findings this research reveal that RF approach yielded best prediction performance (0.59 ≤ R2 0.73). The Nemerow geoaccumulation indices suggest levels exist area. average As, Ni are 7.233 mg/kg, 0.051 27.43 mg/kg respectively, being 1.14 times, 1.27 1.15 times higher than background levels, respectively. central–northern region presented slight Hg Cd identified primary factors. Natural, agricultural, transportation, activities main sources. These findings will assist design targeted policies reduce urban offer useful guidelines similar regions.

Language: Английский

Assessment of the sources and health risks of heavy metals in the soil-rice system based on positive matrix factorization and Monte Carlo simulation DOI Creative Commons
L. Tong, Anli Yang, Mingyue Fan

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 9, 2025

In recent years, the harmful effects of heavy metal pollution in soil and rice on public health have garnered widespread attention. However, most studies focus only evaluation either or rice, often overlooking fact combined pollution. We conducted an integrated assessment levels both rice. This study examined eight common metals (Cd, Ni, As, Cu, Hg, Pb, Cr, Zn) within soil-rice system Wanzhou District, Chongqing City. employed Positive Matrix Factorization Monte Carlo simulation to identify sources assess associated risks. The findings revealed average Impact Index Comprehensive Quality (IICQ) value 3.60 for system, indicating a level exceeding “slight pollution”. primary contributors contamination were identified as smelting processing, pesticide fertilizer use, manure application, geological background rock weathering, agricultural activities, coal combustion. Among assessed metals, Cd, Ni posed greatest risks should be prioritized monitoring control. Given heightened with prolonged consumption contaminated by addressing is urgent necessity.

Language: Английский

Citations

0
Identifying spatial drivers of soil heavy metal pollution risk integrating positive matrix factorization, machine learning, and multi-scale geographically weighted regression DOI
Yujie Pan,

Anmeng Sha,

Wenjing Han

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 485, P. 136841 - 136841

Published: Dec. 10, 2024

Language: Английский

Citations

2
Unravelling integrated groundwater management in pollution-prone agricultural cities: a synergistic approach combining probabilistic risk, source apportionment and artificial intelligence DOI
Xiao Yang,

Jiayi Du,

Chao Jia

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 481, P. 136514 - 136514

Published: Nov. 15, 2024

Language: Английский

Citations

0
Heavy metals release in lead-zinc tailings: Effects of weathering and acid rain DOI
Jiawei Zhou, Zhenyuan Liu, Zhen Li

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 483, P. 136645 - 136645

Published: Nov. 24, 2024

Language: Английский

Citations

0
A Comprehensive Study of Spatial Distribution, Pollution Risk Assessment, and Source Apportionment of Topsoil Heavy Metals and Arsenic DOI Creative Commons
Honghua Chen, Xinxin Sun,

Longhui Sun

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2151 - 2151

Published: Dec. 10, 2024

Accurately identifying pollution risks and sources is crucial for regional land resource management. This study takes a certain coastal county in eastern China as the object to explore spatial distribution, risk, source apportionment of heavy metals topsoil. A total 633 samples were collected from topsoil with depth ranging 0 20 cm, which came different topographical use types (e.g., farmland, industrial areas, mining areas), concentrations HMs As measured by using atomic fluorescence spectrometry inductively coupled plasma mass spectrometry. Firstly, distribution soil (Cd, Cr, Hg, Ni, Pb) arsenic (As) was predicted incorporating environmental variables strongly affecting formation into geostatistical methods machine learning approaches. Then, various indicators employed conduct evaluations, potential ecological risk assessments implemented based on generated map. Finally, conducted random forest (RF), absolute principal component score–multiple linear regression (APCS-MLR), correlation analysis, As. Findings this research reveal that RF approach yielded best prediction performance (0.59 ≤ R2 0.73). The Nemerow geoaccumulation indices suggest levels exist area. average As, Ni are 7.233 mg/kg, 0.051 27.43 mg/kg respectively, being 1.14 times, 1.27 1.15 times higher than background levels, respectively. central–northern region presented slight Hg Cd identified primary factors. Natural, agricultural, transportation, activities main sources. These findings will assist design targeted policies reduce urban offer useful guidelines similar regions.

Language: Английский

Citations

0