Predicting return periods of hydrological droughts using the Pearson 3 distribution: a case from rivers in the Canadian prairies |
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| Authors: | TC Sharma US Panu |
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| Institution: | 1. Department of Civil Engineering, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canadauspanu@lakeheadu.ca;3. Department of Civil Engineering, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canada |
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| Abstract: | AbstractThe standardized series of monthly and weekly flow sequences, referred to as standardized hydrological index (SHI) series, from five rivers in the Canadian prairies were subjected to return period (Tr) analysis of drought length (L). The SHI series were truncated at drought probability levels q ranging from 0.5 to 0.05 with the intention of deducing drought events and corresponding drought lengths. The values of L were fitted to the Pearson 3, the gamma (2-parameter), the exponential (1-parameter), the Weibull 3 and the Weibull (2-parameter) probability density functions (pdfs). A priori assignment of one week or one month for the location parameter in the Pearson 3 pdf proved logical and also facilitated the rapid estimation of other parameters using either the method of moments or the method of maximum likelihood. The Pearson 3 turns out to be the most suitable pdf to describe and to estimate return periods of drought lengths. At the monthly and weekly time scales, it was inferred that the sample size (T, months or weeks) of SHI series could be treated equivalent to the return period of the largest recorded drought length. At the annual time scale, however, the sample size (T, years) should be modified using either the Hazen or the Gringorten plotting position formula to reflect the actual return period of the largest recorded drought length in years. Editor D. Koutsoyiannis; Associate editor E. Gargouri |
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| Keywords: | drought length Pearson 3 distribution plotting position formulae standardized hydrological index (SHI) return period Weibull 3 distribution |
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