Regional flood frequency analysis using data-driven models (M5, random forest, and ANFIS) and a multivariate regression method in ungauged catchments

Abstract Flooding is recognized worldwide joined of the most expensive natural hazards. To adopt proper structural and nonstructural measurements for controlling and mitigating the rising flood risk, the availability of streamflow values along a river is essential. This raises concerns in the hydrol...

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Κύριοι συγγραφείς:	Hassan Esmaeili-Gisavandani, Heidar Zarei, Mohammad Reza Fadaei Tehrani
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	SpringerOpen 2023-05-01
Σειρά:	Applied Water Science
Θέματα:	Flood frequency M5 RF Regression ANFIS
Διαθέσιμο Online:	https://doi.org/10.1007/s13201-023-01940-3
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