A comparison of three approaches to non-stationary flood frequency analysis

Debele, S. E.; Strupczewski, W. G.; Bogdanowicz, E.

doi:10.1007/s11600-017-0071-4

Artykuł - szczegóły

Tytuł artykułu

A comparison of three approaches to non-stationary flood frequency analysis

Autorzy

Debele S. E. , Strupczewski W. G. , Bogdanowicz E.

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-017-0071-4

Warianty tytułu

Języki publikacji

Abstrakty

Non-stationary flood frequency analysis (FFA) is applied to statistical analysis of seasonal flow maxima from Polish and Norwegian catchments. Three non-stationary estimation methods, namely, maximum likelihood (ML), two stage (WLS/TS) and GAMLSS (generalized additive model for location, scale and shape parameters), are compared in the context of capturing the effect of non-stationarity on the estimation of time-dependent moments and design quantiles. The use of a multimodel approach is recommended, to reduce the errors due to the model misspecification in the magnitude of quantiles. The results of calculations based on observed seasonal daily flow maxima and computer simulation experiments showed that GAMLSS gave the best results with respect to the relative bias and root mean square error in the estimates of trend in the standard deviation and the constant shape parameter, while WLS/TS provided better accuracy in the estimates of trend in the mean value. Within three compared methods the WLS/TS method is recommended to deal with non-stationarity in short time series. Some practical aspects of the GAMLSS package application are also presented. The detailed discussion of general issues related to consequences of climate change in the FFA is presented in the second part of the article entitled “Around and about an application of the GAMLSS package in non-stationary flood frequency analysis”.

Słowa kluczowe

flood frequency analysis maximum likelihood GAMLSS multimodel approach Monte Carlo simulation non-stationary two-stage methodology

częstość występowania powodzi maksymalne prawdopodobieństwo GAMLSS podejście wielomodelowe symulacja Monte Carlo

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2017

Tom

Vol. 65, no. 4

Strony

863--883

Opis fizyczny

Bibliogr. 48 poz.

Twórcy

autor

Debele S. E.

s.debele@igf.edu.pl

Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland

autor

Strupczewski W. G.

Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland

autor

Bogdanowicz E.

Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland

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Bibliografia

Identyfikator YADDA

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