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This review paper discusses the integration of machine learning (ML) techniques with the Water Evaluation and Planning (WEAP) model to enhance water allocation strategies amidst climate change. It highlights the potential of ML to improve forecasting accuracy and address uncertainties in water resource management, particularly in vulnerable regions like Ethiopia. The paper provides actionable recommendations for researchers and policymakers to develop resilient water distribution systems that consider socio

Author
mabek2016
Language
EN

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