Susceptibility Assessment of Groundwater Nitrate Contamination Using an Ensemble Machine Learning Approach.

Hosseini, Farzaneh Sajedi; Choubin, Bahram; Bagheri-Gavkosh, Mehdi; Karimi, Omid; Taromideh, Fereshteh; Mako, Csaba

Hosseini, Farzaneh Sajedi; Choubin, Bahram; Bagheri-Gavkosh, Mehdi; Karimi, Omid; Taromideh, Fereshteh; Mako, Csaba.

Afiliação

Choubin B; Soil Conservation and Watershed Management Research Department, West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO, Urmia, Iran.
Bagheri-Gavkosh M; Irrigation and Reclamation Engineering Department, University of Tehran, P.O. Box 31587-77871, Karaj, Iran.
Karimi O; Department of Irrigation and Drainage, College of Aburaihan, University of Tehran, Tehran, Iran.
Taromideh F; Department of Irrigation, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
Mako C; Institute of Information Society, University of Public Service, 1083, Budapest, Hungary.

Ground Water ; 61(4): 510-516, 2023.

Article em En | MEDLINE | ID: mdl-36127852

Assuntos

Água Subterrânea; Nitratos/análise; Monitoramento Ambiental/métodos; Recursos Hídricos; Aprendizado de Máquina

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água Subterrânea Tipo de estudo: Prognostic_studies Idioma: En Revista: Ground Water Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article

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