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Development of the Approach for the Complex Prediction of Spring Floods

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Water Science and Sustainability

Part of the book series: Sustainable Development Goals Series ((SDGS))

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Abstract

Snow storage influence on the flood situation and the contemporary approaches to determine water content in a snow cover are discussed. An artificial neural network application is proposed and tested to improve the accuracy of snow water equivalent retrieval from the satellite microwave radiometer-based measurements and to predict the water discharge in a river flow control point. A method of inundation zone outline calculation in case of river flood situation is proposed and evaluated.

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Correspondence to A. A. Volchak .

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Volchak, A.A., Kostiuk, D.A., Petrov, D.O., Sheshko, N.N. (2021). Development of the Approach for the Complex Prediction of Spring Floods. In: Pandey, B.W., Anand, S. (eds) Water Science and Sustainability . Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-030-57488-8_18

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