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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Detalles Bibliográficos

Principais autores:	Tong Liu, Mingshi Wang, Mingya Wang, Qinqing Xiong, Luhao Jia, Wanqi Ma, Shaobo Sui, Wei Wu, Xiaoming Guo
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-01-01
Series:	Ecotoxicology and Environmental Safety
Assuntos:	APCS-MLR GA-RF Geodetector Heavy metals Soil
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S0147651325000673
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