E3S Web Conf.
Volume 350, 2022International Conference on Environment, Renewable Energy and Green Chemical Engineering (EREGCE 2022)
|Number of page(s)||5|
|Section||Green Chemical Engineering|
|Published online||09 May 2022|
Flood Forecasting with Merged Satellite Precipitation and Hydrologic Model
Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
2 CSG Power Generation Co., Ltd., Guangzhou 510950, China
3 Water Authority of Tongzhou District, Beijing 101100, China
* Corresponding author: firstname.lastname@example.org
Flood forecasting has been an effective way to reduce the potential flood hazards for a sustainable socio-economy. However, the lack of in-situ precipitation records has limited the applicability of flood forecasting with hydrologic models in poorly gauged basins. To address this problem, we aim to develop a flood forecasting framework based on the merged satellite precipitation and a hydrologic model. The framework was then applied to a small basin in the upper Lequan River Basin, Hainan, China for flood forecasting experiments. Results indicate that the combination of merged satellite precipitation and hydrologic model can generally well reproduce the past major flood events occurred in the basin. Our approaches are expected to provide new insights into the flood forecasting in small and poorly gauged basins and can be used to support the sustainable development of the socio-economy.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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