2023
DOI: 10.21203/rs.3.rs-2768121/v1
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Shannon Entropy of Performance Metrics to Choose the Best Novel Hybrid Algorithm to Predict Groundwater Level (Case study: Tabriz plain, Iran)

Abstract: Predicting groundwater level (GWL) fluctuations, which act as a reserve water reservoir, Particularly in arid and semi-arid climates, is vital in water resources management and planning. Within the scope of current research, a novel hybrid algorithm is proposed for estimating GWL values in the Tabriz plain of Iran by combining the artificial neural network (ANN) algorithm with newly developed nature-inspired Coot and Honey Badger metaheuristic optimization algorithms. Various combinations of meteorological dat… Show more

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