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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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 |