期刊
JOURNAL OF HYDROLOGY
卷 603, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhydrol.2021.127158
关键词
GIUH; Flash-flood; Rainfall-runoff modeling; Inverse method; Rainfall spatial variability
资金
- NASA Ground Validation Program [NNX16AL23G]
- NASA [NNX16AL23G, 901074] Funding Source: Federal RePORTER
This study introduces a method for identifying the Geomorphological Instantaneous Unit Hydrograph specific to each flood event by extending the application of GIUH to individual hydrological events and accounting for the influence of rainfall spatial distribution. Results from applying this method to several flood events in two mountainous catchments indicate significant variability in the E-GIUHs over the basins, with E-GIUH parameters appearing to be correlated with flood event magnitude.
In the field of hydrology, the Geomorphological Instantaneous Unit Hydrograph (GIUH) is central to describing a watershed response. The application of GIUH is extended to individual hydrological events by accounting for the influence of rainfall spatial distribution. A method is proposed herein to identify the Geomorphological Instantaneous Unit Hydrograph specific to each flood event (i.e. E-GIUH), when runoff of effective rainfall is the dominant process. The E-GIUH is derived from observational data, namely: rainfall field time series, and a hydrograph. Such an identification process is formulated as an inverse problem with parameters such as the EGIUH velocity and coefficient of dispersion, as well as the hyetograph of rainfall excess. The proposed method is applied to several flood events across two mountainous catchments within the Cevennes-Vivarais Mediterranean Hydrometeorological Observatory territory prone to flash flooding. Results indicate that the E-GIUHs display significant variability over the two basins, and the E-GIUH parameters appear to be correlated with the flood event magnitude. The E-GIUH synthetizes the basin response to rain forcing and can be considered as a signature of flood events. A sensitivity study suggests that E-GIUH identification is fairly robust, even with respect to the a priori hyetograph of effective rainfall.
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