A Distributed Flood Inundation Model Integrating with Rainfall-runoff Processes Using Gis and Remote Sensing Data

Flood hazard is one of the most harmful disasters in the world, and it is significant to obtain information on flood characteristics for disaster mitigation as well as vulnerability assessment. This paper develops a distributed model for simulating flood inundation integrating with rainfall-runoff processes. The model is designed to apply the Shuttle Radar Topography Mission (SRTM) DEM data and some remote sensing data sets in the environment of GIS, which employs the simplified process representation capable of simulating flood inundation. In the model, it takes a one-dimensional diffusion wave representation for channel flow and a twodimensional diffusion wave approximation of overland flow solved with the application of an explicit finite difference scheme. And the exchange of flows between river channel and overland surface is calculated through Manning’s formula in response to the relative water surface elevation. Simulated results in the Maruyama River basin demonstrate an acceptable agreement with the flooded area observed. Hence the flood vulnerable area is able to be identified and delineated. This research is a fundamental step to assess flood hazard vulnerability.