Identification of factors controlling heavy metals/metalloid distribution in agricultural soils using multi-source data DOI Creative Commons
Wenbo Deng,

Fengxian Wang,

Wenjuan Liu

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2023, Volume and Issue: 253, P. 114689 - 114689

Published: Feb. 27, 2023

Understanding the factors that controlling agricultural soil heavy metals/metalloids distribution is vital for cropland remediation and management. For this objective, 227 soils were sampled in Guanzhong Plain, China, to measure concentration of five metals (Pb, Cd, Ni, Zn, Cu) one metalloid (As) by X-ray fluorescence spectrometer, meanwhile, 24 possible influencing metals/metalloid collected grouped into three categories. A sequential multivariate statistical analysis was carried out provide insight distribution, then stepwise multiple linear regression (SMLR) partial least squares (PLS) used predict concentrations based on result identification. The results demonstrated types land use did not have a substantial effect except Zn Cu. properties category played major role concentration. Mn Fe, which are main constitute elements inorganic colloid, most significant factors, followed P, K Ca. Soil pH organic matter (SOM) content, often considered as important present study. SMLR more effective than PLS predicting content. study enlighten future contamination treatment regions with high low SOM content should concentrate colloid particles, strong adsorption capacity environmentally friendly. Moreover, combination successive an tool monitor facilitate improvement environmental territorial

Language: Английский

Recent advances in soil remediation technology for heavy metal contaminated sites: A critical review DOI

Peipei Song,

Dan Xu,

Jingyuan Yue

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 838, P. 156417 - 156417

Published: June 1, 2022

Language: Английский

Citations

311

A meta-analysis of heavy metals pollution in farmland and urban soils in China over the past 20 years DOI

Xuehong Yuan,

Nandong Xue,

Zhiguang Han

et al.

Journal of Environmental Sciences, Journal Year: 2020, Volume and Issue: 101, P. 217 - 226

Published: Sept. 3, 2020

Language: Английский

Citations

298

Spatial distribution, ecological risk and sources of heavy metals in soils from a typical economic development area, Southeastern China DOI
Qiumei Wu, Wenyou Hu,

Huifeng Wang

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 780, P. 146557 - 146557

Published: March 19, 2021

Language: Английский

Citations

196

Spatial Differentiation and Driving Mechanisms in Ecosystem Service Value of Arid Region:A case study in the middle and lower reaches of Shule River Basin, NW China DOI

Ninghui Pan,

Qingyu Guan, Qingzheng Wang

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 319, P. 128718 - 128718

Published: Aug. 19, 2021

Language: Английский

Citations

154

Quantitative spatial analysis of vegetation dynamics and potential driving factors in a typical alpine region on the northeastern Tibetan Plateau using the Google Earth Engine DOI
Chenli Liu, Wenlong Li,

Wenying Wang

et al.

CATENA, Journal Year: 2021, Volume and Issue: 206, P. 105500 - 105500

Published: June 8, 2021

Language: Английский

Citations

117

Determination and Mapping of Regional Change of Pb and Cr Pollution in Ankara City Center DOI
Mehmet Çetin, Akram Mohamed Omar Aljama, Osama B. Muragaa Alrabiti

et al.

Water Air & Soil Pollution, Journal Year: 2022, Volume and Issue: 233(5)

Published: May 1, 2022

Language: Английский

Citations

112

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

Hongbo Liu,

Mingkai Qu, Chen Jian

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 825, P. 154004 - 154004

Published: Feb. 19, 2022

Language: Английский

Citations

70

Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China DOI
Shuai Xiao, Lei Zou, Jun Xia

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 866, P. 161321 - 161321

Published: Jan. 2, 2023

Language: Английский

Citations

54

Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model DOI
Y. Richard Yang, Xinwei Lu, Bo Yu

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 473, P. 134708 - 134708

Published: May 23, 2024

Language: Английский

Citations

18

Identification of the primary pollution sources and dominant influencing factors of soil heavy metals using a random forest model optimized by genetic algorithm coupled with geodetector DOI Creative Commons
Tong Liu, Mingshi Wang,

Mingya Wang

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 290, P. 117731 - 117731

Published: Jan. 1, 2025

Language: Английский

Citations

2