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Detecting Flood‐Rich and Flood‐Poor Periods in Annual Peak Discharges Across Europe

This paper proposes a method from Scan statistics for identifying flood‐rich and flood‐poor periods (i.e., anomalies) in flood discharge records. Exceedances of quantiles with 2‐, 5‐, and 10‐year return periods are used to identify periods with unusually many (or few) threshold exceedances with resp...

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Detalles Bibliográficos
Autores principales: Lun, David, Fischer, Svenja, Viglione, Alberto, Blöschl, Günter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380311/
https://www.ncbi.nlm.nih.gov/pubmed/32728301
http://dx.doi.org/10.1029/2019WR026575