Development of the Approach for the Complex Prediction of Spring Floods

Autor:	D. O. Petrov, N. N. Sheshko, D. A. Kostiuk, A. A. Volchak
Rok vydání:	2021
Předmět:	Hydrology geography geography.geographical_feature_category Flood myth Artificial neural network Streamflow Microwave radiometer Spring (hydrology) Environmental science Satellite Snow Water content
Zdroj:	Sustainable Development Goals Series ISBN: 9783030574871
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0d183ad869ff759cdc616c4ee74e0300 https://doi.org/10.1007/978-3-030-57488-8_18 Zobrazit plný text záznamu