Details
| Translated title of the contribution | Derived flood frequency analysis using rainfall runoff modelling and synthetic precipitation data |
|---|---|
| Original language | German |
| Pages (from-to) | 19-23 |
| Number of pages | 5 |
| Journal | WASSERWIRTSCHAFT |
| Volume | 98 |
| Issue number | 11 |
| Publication status | Published - Nov 2008 |
Abstract
Synthetic time series of hourly precipitation can be used as input for rainfall runoff models to obtain design flows through derived flood frequency analysis. Two methods of generating synthetic precipitation are discussed. First, the stochastic synthesis of continuous long term precipitation series using a two step space-time precipitation model is shown. Second, the disaggregation of observed daily rainfall data using a multiplicative random cascade model is presented. These synthetic time series are forming the input data for rainfall-runoff simulations. For hydrological modelling the conceptual semi-distributed model HEC-HMS is used. Both types of synthetic rainfall data are well suited for derived flood frequency analysis. However regarding the disaggregated daily rainfall the omitted spatial persistence leads to an underestimation of extreme floods.
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
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In: WASSERWIRTSCHAFT, Vol. 98, No. 11, 11.2008, p. 19-23.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Ermittlung von Bemessungsabflüssen mit N-A-Modellierung und synthetischem Niederschlag
AU - Ebner von Eschenbach, Anna Dorothea
AU - Haberlandt, Uwe
AU - Buchwald, Imke
AU - Belli, Aslan
N1 - Publisher Copyright: © 2008, Springer Fachmedien Wiesbaden.
PY - 2008/11
Y1 - 2008/11
N2 - Synthetic time series of hourly precipitation can be used as input for rainfall runoff models to obtain design flows through derived flood frequency analysis. Two methods of generating synthetic precipitation are discussed. First, the stochastic synthesis of continuous long term precipitation series using a two step space-time precipitation model is shown. Second, the disaggregation of observed daily rainfall data using a multiplicative random cascade model is presented. These synthetic time series are forming the input data for rainfall-runoff simulations. For hydrological modelling the conceptual semi-distributed model HEC-HMS is used. Both types of synthetic rainfall data are well suited for derived flood frequency analysis. However regarding the disaggregated daily rainfall the omitted spatial persistence leads to an underestimation of extreme floods.
AB - Synthetic time series of hourly precipitation can be used as input for rainfall runoff models to obtain design flows through derived flood frequency analysis. Two methods of generating synthetic precipitation are discussed. First, the stochastic synthesis of continuous long term precipitation series using a two step space-time precipitation model is shown. Second, the disaggregation of observed daily rainfall data using a multiplicative random cascade model is presented. These synthetic time series are forming the input data for rainfall-runoff simulations. For hydrological modelling the conceptual semi-distributed model HEC-HMS is used. Both types of synthetic rainfall data are well suited for derived flood frequency analysis. However regarding the disaggregated daily rainfall the omitted spatial persistence leads to an underestimation of extreme floods.
UR - http://www.scopus.com/inward/record.url?scp=56349163804&partnerID=8YFLogxK
U2 - 10.1007/BF03241502
DO - 10.1007/BF03241502
M3 - Artikel
AN - SCOPUS:56349163804
VL - 98
SP - 19
EP - 23
JO - WASSERWIRTSCHAFT
JF - WASSERWIRTSCHAFT
SN - 0043-0978
IS - 11
ER -