期刊
HYDROLOGY AND EARTH SYSTEM SCIENCES
卷 23, 期 1, 页码 225-237出版社
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/hess-23-225-2019
关键词
-
资金
- Ministry of Regional Municipalities and Water Resources of the Sultanate of Oman
- German Research Foundation (Deutsche Forschungsgemeinschaft) [403207337, BA 1150/24-1]
- Energi Simulation Program
- Open Access Publication Funds of the SLUB/TU Dresden
Knowledge of spatio-temporal rainfall patterns is required as input for distributed hydrologic models used for tasks such as flood runoff estimation and modelling. Normally, these patterns are generated from point observations on the ground using spatial interpolation methods. However, such methods fail in reproducing the true spatio-temporal rainfall pattern, especially in data-scarce regions with poorly gauged catchments, or for highly dynamic, small-scale rainstorms which are not well recorded by existing monitoring networks. Consequently, uncertainties arise in distributed rainfall-runoff modelling if poorly identified spatio-temporal rainfall patterns are used, since the amount of rainfall received by a catchment as well as the dynamics of the runoff generation of flood waves is underestimated. To address this problem we propose an inverse hydrologic modelling approach for stochastic reconstruction of spatio-temporal rainfall patterns. The methodology combines the stochastic random field simulator Random Mixing and a distributed rainfall-runoff model in a Monte Carlo framework. The simulated spatio-temporal rainfall patterns are conditioned on point rainfall data from ground-based monitoring networks and the observed hydrograph at the catchment outlet and aim to explain measured data at best. Since we infer a three-dimensional input variable from an integral catchment response, several candidates for spatio-temporal rainfall patterns are feasible and allow for an analysis of their uncertainty. The methodology is tested on a synthetic rainfall-runoff event on sub-daily time steps and spatial resolution of 1 km(2) for a catchment partly covered by rainfall. A set of plausible spatio-temporal rainfall patterns can be obtained real-world study for a flash flood event in a mountainous arid region are presented. They underline that knowledge about the spatio-temporal rainfall pattern is crucial for flash flood modelling even in small catchments and arid and semiarid environments.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据