PROPOSAL OF A METHOD FOR CONSTRUCTING A RUNOFF INUNDATION MODEL IN HYDROLOGICAL DATA-SPARSE AREAS, USING SATELLITE DATA BASED ON A DAM FAILURE EVENT

Abstract

 Flood disasters often occur worldwide as heavy rainfall events have become increasingly frequent due to global warming. In these circumstances, it is important to evaluate flood risk accurately and thus essential to develop a highly accurate runoff-inundation model and prepare detailed hydrological data. However, such data are rarely available in areas where an observation network is not well developed. In this study, by taking a dam failure event in Myanmar as an example, we developed a runoff-inundation model based on detailed spatiotemporal precipitation data and extracted inundation areas using satellite data. The results show that it is possible to prepare necessary data, develop a reliable model, and conduct risk assessment even for areas with insufficient hydrological data.