Influence of rainfall variability on the simulation of extreme runoff in small catchments

被引：0

作者：

Casper, Markus C. ^{[1
]}

Herbst, Marcus ^{[1
]}

Grundmann, Jens ^{[2
]}

Buchholz, Oliver ^{[3
]}

Bliefernicht, Jan ^{[4
]}

机构：

[1] Univ Trier, D-54286 Trier, Germany

[2] Univ Dresden, Inst Hydrol & Meteorol, Dresden, Germany

[3] Hydrotec GmbH, Aachen, Germany

[4] Univ Stuttgart, Inst Wasserbau, D-7000 Stuttgart, Germany

来源：

HYDROLOGIE UND WASSERBEWIRTSCHAFTUNG | 2009年 / 53卷 / 03期

关键词：

Ensembles; extreme events; rainfall-runoff model; rainfall variability; sensitivity of models; EFFICIENCY; PARAMETERS; IMPACT;

D O I：

暂无

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

Temporal and spatial variability in the rainfall field is regarded as a substantial source of uncertainty in flood prediction with spatially distributed rainfall-runoff models. But often - due to a lack of data - the influence of rainfall uncertainty on the accuracy of flood prediction is not properly addressed. In our case, we can base our uncertainty assessment on ensembles of 100 rainfall realisations for several extreme flood events, which were produced by stochastic rainfall simulation in hourly resolution. This data set allows us to investigate the specific sensitivity of the rainfall-runoff models NASIM, LARSIM, and WaSiM-ETH in a small catchment.

引用

页码：134 / 139

页数：6

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