Learning a Variety of Return Periods in Digital Altitude based Flood Risk and Liability

Background/Objectives: As the world is advancing to its peaks the issue of flood in various regions, which leads to a very dangerous problem in the field of crop cultivation. Farmers cannot compare the characteristics of crop and the property the soil due to rain for the cultivation. The issue of cultivation of crop arises according to the rainfall in the area. Methods/ Statistical Analysis: In that case there is a need for effective analysis and suggestion is needed. Thereby it provides the spirit of encouragement and more profit in cultivation. This journal portrays the flood hazard mapping, crops and settlement vulnerability assessment in a low laying reverie flood prone area for different flood magnitudes. This system is used for analyzing the best crop that can be used by farmers, which need to be cultivated easily in given prone areas. The analysis of frequency has been carried out to determine the level of water for the years of different return periods flood. By using this system, it is able to develop a system to find the flooded region, and also the cultivation system which is adapted to the region based on the monsoon for the month in that year. Findings: Vulnerability functions of risk elements and flood hazard maps are analyzed based on the detail which is stored data in the database like region/state/Location, Month, Rainfall, Crop cultivation, based on the dataset user can find the flood areas and crop cultivation recommended in the location based on monsoon. Application/Improvements: This flood hazard vulnerability map can be used for selecting the type of crops and area of cultivation during the monsoon period on the basis of magnitudes of inundation of different flood zones.