Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-022-10277-4.pdf
Reference60 articles.
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3. Bahmani, R., & Ouarda, T. B. (2021). Groundwater level modeling with hybrid artificial intelligence techniques. Journal of Hydrology, 595, 125659.
4. Banadkooki, F. B., Ehteram, M., Ahmed, A. N., Teo, F. Y., Fai, C. M., Afan, H. A., & El-Shafie, A. (2020). Enhancement of groundwater-level prediction using an integrated machine learning model optimized by whale algorithm. Natural Resources Research, 29(5), 3233–3252.
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