Machine learning-based source apportionment and source-oriented probabilistic ecological risk assessment of heavy metals in urban green spaces

Machine learning-based source apportionment and source-oriented probabilistic ecological risk assessment of heavy metals in urban green spaces

Global urbanization has significantly contributed to soil contamination by heavy metals (HMs), posing serious ecological risks, particularly within urban green spaces (UGS). This study focused on UGS soils in Lanzhou, a major river-valley city in China. Multiple pollution indices, including geo-accu...

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Bibliographic Details
Main Authors: Jun Li, Jia-Yi Lu, Xin-Ying Tuo, Chao Wang, Jun-Zhuo Liu, Zhan-Dong Gao, Cun-Hao Yu, Fei Zang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Green spaces
Trace elements
Self-organizing map
Random forest
Monte carlo simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651325010590
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http://www.sciencedirect.com/science/article/pii/S0147651325010590

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