Prediction of future groundwater levels under representative concentration pathway scenarios using an inclusive multiple model coupled with artificial neural networks | Zendy

Mohammad Ehteram | Zendy; Zahra Kalantari | Zendy; Carla Ferreira | Zendy; Kwokwing Chau | Zendy; Seyed-Mohammad-Kazem Emami | Zendy

Open Access

Prediction of future groundwater levels under representative concentration pathway scenarios using an inclusive multiple model coupled with artificial neural networks

Author(s) -

Mohammad Ehteram,

Zahra Kalantari,

Carla Ferreira,

Kwokwing Chau,

Seyed-Mohammad-Kazem Emami

Publication year - 2022

Publication title -

journal of water and climate change

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.421

H-Index - 22

eISSN - 2408-9354

pISSN - 2040-2244

DOI - 10.2166/wcc.2022.198

Subject(s) - artificial neural network , particle swarm optimization , groundwater resources , groundwater , swarm behaviour , environmental science , structural basin , base (topology) , genetic algorithm , climate change , computer science , mathematics , engineering , algorithm , ecology , machine learning , artificial intelligence , geology , aquifer , geotechnical engineering , biology , paleontology , mathematical analysis

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