Data-based comparison of seasonality-based regional flood frequency methods

Autor:	André St-Hilaire, Marc Barbet, Bernard Bobée, Taha B. M. J. Ouarda, Pierre Bruneau, Juraj M. Cunderlik
Rok vydání:	2006
Předmět:	Estimation Hydrology geography geography.geographical_feature_category Flood myth Flood frequency analysis Drainage basin Seasonality medicine.disease Regression medicine Environmental science Physical geography Jackknife resampling Water Science and Technology Quantile
Zdroj:	Journal of Hydrology. 330:329-339
ISSN:	0022-1694
Popis:	During the last 10 years a growing number of regional flood frequency estimation studies have used flood seasonality descriptors for delineating hydrologically homogeneous regions. Seasonality of floods reflects a complex catchment’s hydrologic response to flood producing processes. Due to the high accuracy and robustness of flood date data, the use of flood seasonality indices became an attractive alternative to traditional regionalization approaches for the delineation of homogeneous regions, a key step in any regionalization study. This paper presents a data-based comparison of three flood seasonality regionalization methods. The methods are applied to a set of catchments in the province of Quebec (Canada). A jack-knife procedure is used to assess the performance of the methods in regional quantile estimation. The results are compared to those obtained from a traditional regionalization approach based on catchment physiographic similarities, and to the results from a scenario where information available in all catchments is used in the analysis. The seasonality method based on the peaks-over-threshold approach was concluded to lead to best results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ebc8adf2e1b47c4f4cc6742e7941fcf1 https://doi.org/10.1016/j.jhydrol.2006.03.023 Zobrazit plný text záznamu Full Text from ScienceDirect