Interpretable machine learning for predicting evaporation from Awash reservoirs, Ethiopia
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01063-y.pdf
Reference40 articles.
1. Abed M, Imteaz MA, Ahmed AN, Huang YF (2022) Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms. Sci Rep 12(1):13132. https://doi.org/10.1038/s41598-022-17263-3
2. Adeba D, Kansal ML, Sen S (2015) Assessment of water scarcity and its impacts on sustainable development in Awash basin, Ethiopia. Sustain Water Resour Manag 1(1):71–87. https://doi.org/10.1007/s40899-015-0006-7
3. Adnan RM, Mostafa RR, Elbeltagi A, Yaseen ZM, Shahid S, Kisi O (2022) Development of new machine learning model for streamflow prediction: case studies in Pakistan. In Stochastic Environmental Research and Risk Assessment (Vol. 36, Issue 4). Springer Berlin Heidelberg. https://doi.org/10.1007/s00477-021-02111-z
4. Al Sudani ZA, Salem GSA (2022) Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study. Adv Meteorol 2022(1433835):13. https://doi.org/10.1155/2022/1433835
5. Allawi MF, Aidan IA, El-Shafie A (2021) Enhancing the performance of data-driven models for monthly reservoir evaporation prediction. Environ Sci Pollut Res 28(7):8281–8295. https://doi.org/10.1007/s11356-020-11062-x
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