Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters

Abstract

Regionalization methods have been effectively used in many hydrological studies, such as regional flood frequency analysis and low flows. However, there is no study to estimate the instantaneous peak flow (IPF) from maximum mean daily flow (MDF) using hydrological models with regionalized parameters. In this paper, the semidistributed conceptual hydrological model Hydrologiska Byråns Vattenbalansavdelning is operated on a daily time step for 18 catchments in the Aller‐Leine basin, Germany. The model is calibrated on four different flow statistics, including winter/summer extremes distribution and flow duration curves. The model parameter values are predefined with the associated catchment descriptors by a transfer function. Two different regionalization schemes are investigated: one is carried out for all the catchments in the study area; the other one is only performed for several catchments within a cluster. The k‐means algorithm is used to 12 different catchment characteristics from all 18 catchments as the partitional clustering algorithm. Subsequently, the general extreme value distributions are fitted to the modeled MDFs, which are then transferred into IPF quantiles using a multiple regression model. The results show that (a) the uncertainty resulted from model parameter regionalization for the estimation of IPFs is much smaller than the error when using MDFs instead of IPFs; (b) the hydrological responses of the clustered catchments located in the flat areas are, in general, not as homogeneous as the ones in high elevated regions; and (c) the model with the parameters derived from the same regionalization coefficients within a cluster performs better using the corresponding parameters estimated through all the catchments.

Estimativa De Vazão Máxima Para Projetos De Barragem Na Bacia Hidrográfica Do Rio Uraim Em Paragominas/Pa

“…(2017) e Ding et al (2016) também encontraram bons ajustes entre as frequências observadas e simuladas pela distribuição GEV, contudo ressalta-se que nesses estudos os parâmetros da função foram estimados pelo método de Momentos-L. Costa et al (2019). Os autores também estimaram as vazões máximas para diferentes tempos de retorno variando de 2 a 100 anos.…”

An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change

“…In this study, the non‐linearity was found even in the case that runoff mechanisms were explained by the catchment water storage alone. Estimating IPFs from daily flows has been an open question for almost a century, and various methods are still being proposed (e.g., Dastorani, Koochi, Darani, Talebi, & Rahimian, ; Ding et al, ; Ding & Haberlandt, ; Taguas et al, ). Given the high sensitivity of rainfall–runoff modelling to coarsening temporal scales (Cristiano et al, ; Ochoa‐Rodriguez et al, ), it would be better to incorporate a tool that acceptably converts daily flows to IPFs in bottom‐up assessments rather than depending on daily runoff estimates.…”

On the selection of precipitation products for the regionalisation of hydrological model parameters

“…We selected a HBV-like conceptual model because it has shown good results in i) many regionalisation studies (e.g., Parajka et al, 2005;Jin et al, 2009;Singh et al, 2012;Wallner et al, 2013;Zelelew and Alfredsen, 2014;Beck et al, 2016;Neri et al, 2020); and ii) catchments with diverse hydroclimatic and geomorphological characteristics (Merz and Blöschl, 2004;Driessen et al, 2010;Samuel et al, 2011;Vetter et al, 2015;Ding et al, 2016;Unduche et al, 2018;Huang et al, 2019).…”