Heavy metal concentrations and ecological impacts (Igeo, Er, Cf, Ef, RI, and PI) in urban air dust, and those that have the greatest effect on the risk index evaluation process through the use of machine learning and GAM models (systematic review and meta-analysis)

Majid Farhadi; Kambiz Ahmadi Angali; Masoumeh Sabzian; Arefeh Sepahvand; Fatemeh Hayatolgheibi; Farshid Soleimani; Zahra Ahmadi Angali; Soraya Ehsani; Masoud Behzadifar

doi:10.1007/s00484-026-03144-1

Heavy metal concentrations and ecological impacts (Igeo, Er, Cf, Ef, RI, and PI) in urban air dust, and those that have the greatest effect on the risk index evaluation process through the use of machine learning and GAM models (systematic review and meta-analysis)

International Journal of Biometeorology 2026

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Authors: Majid Farhadi, Kambiz Ahmadi Angali, Masoumeh Sabzian, Arefeh Sepahvand, Fatemeh Hayatolgheibi, Farshid Soleimani, Zahra Ahmadi Angali, Soraya Ehsani, Masoud Behzadifar

DOI: 10.1007/s00484-026-03144-1

Cited by: 1

References: 95

Fields of Study & Subjects

Heavy metals in environment Water Quality and Pollution Assessment Air Quality and Health Impacts

Publication details

Journal / source: International Journal of Biometeorology
Publisher: Springer Science and Business Media LLC
Volume: 70
Issue: 5
Publication date: 1 May 2026
Language: EN

References 95