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

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

Identifying and quantifying the dominant factors influencing heavy metal (HM) pollution sources are essential for maintaining soil ecological health and implementing effective pollution control measures. This study analyzed soil HM samples from 53 different land use types in Jiaozuo City, Henan Prov...

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Bibliographic Details
Main Authors: Tong Liu, Mingshi Wang, Mingya Wang, Qinqing Xiong, Luhao Jia, Wanqi Ma, Shaobo Sui, Wei Wu, Xiaoming Guo
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Ecotoxicology and Environmental Safety
Subjects:
APCS-MLR
GA-RF
Geodetector
Heavy metals
Soil
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651325000673
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