A Spatial Decision Support System for Flood Risk Monitoring
نویسنده
چکیده
Flooding is a natural phenomenon that has increasing impact on people and their environment. This is very evident that in the devastation wrought by rising waters inundating homes and farms in East Africa. Flooding only serves to exacerbate the crisis faced by people of that region as they struggle against famine and civil war. A spatial decision support system was designed and used to simulate various future scenarios for the Nzoia River basin in Kenya. The purpose of the decision support system was to assist in targeting aid relief to the areas of greatest need. Additional constraints on the decision support system were to use as much data as possible that was not dependent on the at risk area. Satellite imagery, historical rainfall-runoff data, digital elevation models, hydrologic derivatives, vegetation and land use information, and meteorological and climate data were combined to effectively model the physical processes at work. By integrating the flood risk data into the GIS as well as population density, economic data, and transportation routes, timely information on the location and impact of the possible flooding can be shown as visual layers for the relief agency’s planning purposes.
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تاریخ انتشار 2007