Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
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- Maryam Malekzadeh & Saeid Kardar & Keivan Saeb & Saeid Shabanlou & Lobat Taghavi, 2019. "A Novel Approach for Prediction of Monthly Ground Water Level Using a Hybrid Wavelet and Non-Tuned Self-Adaptive Machine Learning Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1609-1628, March.
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- Mojtaba Poursaeid & Amir Houssain Poursaeid & Saeid Shabanlou, 2022. "A Comparative Study of Artificial Intelligence Models and A Statistical Method for Groundwater Level Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1499-1519, March.
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- Ritusnata Mishra & Sanjeev Kumar & Himangshu Sarkar & Chandra Shekhar Prasad Ojha, 2024. "Utility of Certain AI Models in Climate-Induced Disasters," World, MDPI, vol. 5(4), pages 1-36, October.
- Jing Yang & Channa Rajanayaka & Christopher J. Daughney & Doug Booker & Rebecca Morris & Mike Thompson, 2023. "Metamodelling of Naturalised Groundwater Levels at a Regional Level in New Zealand," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
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Keywords
machine learning; mathematical model; statistical model; climate; systematic review; groundwater; groundwater level;All these keywords.
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