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An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation

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Hassan University
El Bilali A.; Abdeslam T.; Ayoub N.; Lamane H.; Ezzaouini M.A.; Elbeltagi A.
El Bilali, Ali (59738775000); Abdeslam, Taleb (57218502982); Ayoub, Nafii (58042278000); Lamane, Houda (57828110100); Ezzaouini, Mohamed Abdellah (56157529700); Elbeltagi, Ahmed (57204724397)
59738775000; 57218502982; 58042278000; 57828110100; 56157529700; 57204724397
2023
Journal of Environmental Management
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
327
Academic Press
116890
Hassan University of Casablanca, Faculty of Sciences and Techniques of Mohammedia, Morocco; River Basin Agency of Bouregreg and Chaouia, Benslimane, Morocco; Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt
El Bilali A., Hassan University of Casablanca, Faculty of Sciences and Techniques of Mohammedia, Morocco, River Basin Agency of Bouregreg and Chaouia, Benslimane, Morocco; Abdeslam T., Hassan University of Casablanca, Faculty of Sciences and Techniques of Mohammedia, Morocco; Ayoub N., Hassan University of Casablanca, Faculty of Sciences and Techniques of Mohammedia, Morocco, River Basin Agency of Bouregreg and Chaouia, Benslimane, Morocco; Lamane H., Hassan University of Casablanca, Faculty of Sciences and Techniques of Mohammedia, Morocco; Ezzaouini M.A., River Basin Agency of Bouregreg and Chaouia, Benslimane, Morocco; Elbeltagi A., Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt
A. El Bilali; Hassan University of Casablanca, Faculty of Sciences and Techniques of Mohammedia, Morocco; email: ali1gpee@gmail.com
153
10.1016/j.jenvman.2022.116890
Climate variables; Interpretable machine learning; LIME; SHAP; Sobol index
Climate; Machine Learning; Neural Networks, Computer; Physical Phenomena; Reproducibility of Results; Morocco; Climate models; Evaporation; Forecasting; Learning systems; Lime; Sensitivity analysis; Climate variables; Daily pan evaporation; Extra-trees; Interpretability; Interpretable machine learning; Local interpretable model-agnostic explanation; Machine learning models; Machine-learning; Shapely additive explanation; Sobol indices; air temperature; climate change; evaporation; machine learning; relative humidity; solar radiation; Agnostic; air temperature; article; climate; controlled study; deep neural network; desert; evaporation; human; machine learning; Morocco; relative humidity; reliability; sensitivity analysis; solar radiation; weather; physical phenomena; reproducibility; Deep neural networks