Assessing the effectiveness of hydrological similarity measures for flood frequency analysis

By Attilio Castellarin, Donald H. Burn, Armando Brath. 2001

216 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/bf156c0286d0a57fdd91acbeed55c5470080c01f

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In Global and Planetary Change

In Water Science and Technology

Citations in the corpus

Switching the pooling similarity distances: Mahalanobis for Euclidean (2006, background): “…based on flood seasonality have become popular alternatives for identifying hydrologically homogeneous pooling groups [Ouarda et al., 1993; Black and Werritty, 1997; Burn, 1997; Lecce, 2000; Castellarin et al., 2001; Cunderlik and Burn, 2002a, 2002b; Ouarda et al., 2001, Cunderlik et al., 2004a].”
Probabilistic envelope curves for design flood estimation at ungauged sites (2007, methodology): “…Q̂(i,TEC)jk is the product of an indirect estimate of mX(i), m̂X(i)jk, and a resampled regional quantile, x̂ 0(i,TEC)jk. m̂X(i)jk is estimated using a multiregression model that is identified by discarding the flood data observed at site i [see, e.g., Brath et al., 2001; Castellarin et al., 2001].”
Complexity–entropy analysis of daily stream flow time series in the continental United States (2014, background): “In this context, classification plays a key role to transfer the information from gauged to ungauged basins for modeling and prediction (e.g., Castellarin et al. 2001).”
A comparison of similarity indices for catchment classification using a cross-regional dataset (2012, unknown): “, [35,14,24] e.”
The use of resampling for estimating confidence intervals for single site and pooled frequency analysis / Utilisation d'un rééchantillonnage pour l'estimation des intervalles de confiance lors d'analyses fréquentielles mono et multi-site (2003, methodology): “Many approaches to this task have been proposed including the definition of a focused pooling group (see, for example, Burn, 1990; FEH, 1999; Burn & Goel, 2000; Castellarin et al., 2001; Cunderlik & Burn, 2002).”
Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach? (2012, methodology): “Study streamgauges are considered to have undeveloped upstream catchments and to have minimal regulation.”
Streamflow prediction in ungauged catchments using copula‐based dissimilarity measures (2010, methodology): “[5] Catchment classification has widely been applied in catchment hydrology during the last decades [Haines et al., 1988; Nathan and McMahon, 1990; Castellarin et al., 2001; Laaha and Blöschl, 2006].”