Annual maxima and partial duration flood series analysis by parametric and non-parametric methods

✍ Scribed by Kaz Adamowski; Geng-Chen Liang; Gilles G. Patry

• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 219 KB
• Volume: 12
• Category: Article
• ISSN: 0885-6087
• DOI: 10.1002/(sici)1099-1085(199808/09)12:10/11<1685::aid-hyp689>3.0.co;2-7

✦ Synopsis

Annual maxima (AM) and partial duration (PD) ¯ood series are modelled by parametric and non-parametric methods. In PD analysis the number of threshold exceedances is assumed to be Poisson distributed; the peak exceedances are described by the generalized Pareto (GP) and non-parametric (NP) distributions. The generalized extreme value (GEV) and non-parametric (NP) distributions are used to describe the AM series. L-moments are employed for parameter estimation for GEV and GP distributions. Analysis of data from the provinces of Quebec and Ontario, Canada, shows that both AM and PD series can be inferred as being unimodal and bimodal, both of which can be described by the NP method. Also, this method is found not to be sensitive to the choice of threshold level; however, it was also observed that parametric methods cannot detect biomodality, give dierent quantile estimates for AM and PD data and PD estimates are sensitive to the selection of threshold level. Therefore, the NP method is more advantageous than the parametric methods in ¯ood frequency analysis for both AM and PD series.