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Application of Digital Hydrological Model to the Flood Forecast of Zhexi Hydropower Station

Zhang Jin-hua

Open publisher page 1 citations

Abstract

The digital hydrological model is constituted by the digital elevation drainage network model (DEDNM) generated by the digital elevation model (DEM) and Xin'anjiang rainfall-runoff model. The model is used to calculate the runoff and simulate the flood process of 6 sub-basins of the Zhexi Hydropower Station, and the scheme of flood forecast is put forward. On the basis of existing remotely observed data, a real-time flood forecast system using real-time correction technique is developed. One year's application proves that the system is successful and its forecast precision meets standard A. By use of the system, the flood peak is effectively clipped, and great benefits of flood control are generated.

About this research paper

What this paper is about

The digital hydrological model is constituted by the digital elevation drainage network model (DEDNM) generated by the digital elevation model (DEM) and Xin'anjiang rainfall-runoff model. The model is used to calculate the runoff and simulate the flood process of 6 sub-basins of the Zhexi Hydropower Station, and the scheme of flood forecast is put forward. On the basis of existing remotely observed data, a real-time flood forecast system using real-time correction technique is developed. One year's application proves that the system is successful and its forecast precision meets standard A. By use of the system, the flood peak is effectively clipped, and great benefits of flood control are generated.

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Available abstract

The digital hydrological model is constituted by the digital elevation drainage network model (DEDNM) generated by the digital elevation model (DEM) and Xin'anjiang rainfall-runoff model. The model is used to calculate the runoff and simulate the flood process of 6 sub-basins of the Zhexi Hydropower Station, and the scheme of flood forecast is put forward. On the basis of existing remotely observed data, a real-time flood forecast system using real-time correction technique is developed. One year's application proves that the system is successful and its forecast precision meets standard A. By use of the system, the flood peak is effectively clipped, and great benefits of flood control are generated.

Key concepts: Hydropower, Digital elevation model, Flood myth, Flood forecasting, Surface runoff, Elevation (ballistics), Flood control, Environmental science

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