Hydrological Drought Forecasting Using Machine Learning—Gidra River Case Study

Hydrological Drought Forecasting Using Machine Learning—Gidra River Case Study

Drought is one of many critical problems that could arise as a result of climate change as it has an impact on many aspects of the world, including water resources and water scarcity. In this study, an assessment of hydrological drought in the Gidra River is carried out to characterize dry, normal,...

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Bibliographic Details
Main Authors: Wael Almikaeel, Lea Čubanová, Andrej Šoltész
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Water
Subjects:
drought
drought forecasting
machine learning
artificial neural networks
support vector machines
water bearing coefficient
Online Access:https://www.mdpi.com/2073-4441/14/3/387

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