Abstract

This research shows a simple and cost effective way to use remote sensing & geographical information system for creating flood management plan from the available rainfall and river flow data base. It is acknowledged that accuracy of the key information, past records of flooding, depends upon the scale of the rainfall data that represents them. Although flooding is a natural phenomenon we cannot completely stop it but we can minimize its adverse effects by better planning & management system. Flood proofing of new and existing structures, flood peak values are required in the design of bridges, culvert waterways, spillways for dams, and estimation of scour at a hydraulic structure. When a flood wave passes through a reservoir its peak is attenuated, and the time base is enlarged due to effect of storage. Modification in the hydrograph is studied through flood routing. Flood routing is the technique of determining the flood hydrograph at a section of a river by utilising the data of flood flow at one or more upstream sections. Advances in the field of artificial intelligence (AI) offer opportunities for utilising new algorithms and models. Recent years have seen an increase in the intensity of extreme rainfalls and the frequency of floods caused by climate change. As a result, South Iran (Sistan and Balochestan province) is facing an ever-increasing risk of flooding due to monsoon and typhoons in the summer season. Any new construction permitted in the flood plain should be flood proofed to reduce future damages. Building codes can be developed that minimize flood damages by ensuring that beneficial uses of buildings are located above the design flood elevation.