Analysis of the Seasonal Nature of Extreme Floods Across Canada

The purpose of this paper is to study the seasonal characteristics of floods in Canada. Its principal objective is to judge the relevance of seasonal analysis and to attempt to present a unified set of methodologies for handling the problems of seasonally varied flows. Another objective is to broadl...

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Veröffentlicht in:Journal of hydrologic engineering 2004-09, Vol.9 (5), p.392-401
Hauptverfasser: Rémillard, L, Rousselle, J, Ashkar, F, Sparks, D
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Sprache:eng
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Zusammenfassung:The purpose of this paper is to study the seasonal characteristics of floods in Canada. Its principal objective is to judge the relevance of seasonal analysis and to attempt to present a unified set of methodologies for handling the problems of seasonally varied flows. Another objective is to broadly identify various regions of Canada for which seasonal analysis would be appropriate. Partial duration series and the exceedance model are used because they are well suited to this type of analysis. The focus will be on improved estimation of low-frequency/large-magnitude flood events. Two methods are investigated as a means for grouping flood series on a seasonal basis in a meaningful way: One method is based on flood generating phenomena, and the other divides the year into "homogeneous" periods, which could be called "seasons." Seasonal analyses were performed on 166 hydrometric stations in all regions of Canada. Synthesis of the results has made it possible to broadly identify regions for which an analysis of seasonal flood variations may be the most relevant. In general, these are the southern regions of the country. Specifically, there is an indication from the results obtained for the Maritime provinces, southern Ontario and the Prairie provinces, that these regions are well suited to seasonal analysis. Also, the results show that frequency analysis for stations recording one or more rare events, or having flood subpopulations that are clearly distinct, may be significantly improved by using a seasonal approach.
ISSN:1084-0699
1943-5584
DOI:10.1061/(ASCE)1084-0699(2004)9:5(392)