Flood Forecasting Notification and Possible Affected Area Prediction System

Abstract

Among all weather-related natural disasters, floods have been both the most common and most costly in the world. They can create huge amount of money in damage a year and kill large amount of people around the world [10]. Every community in the world should at least be aware of flood dangers and be prepared for them because you never know when flood may occur.so we want to reduce damage and save life .we developed Flood Forecasting Notification And Possible Affected Area Prediction System (FFNAPAAPS) on android platform based on our country. The target of this System is to notify flood forecasting using notification if occur then user can check which area may affect by input 7 field in the app. For providing appropriate results in affected area prediction making effective decisions on datasets uses 08 flood dependent parameters, some data mining techniques are used on it. Parameters enables significant knowledge, eg, relationships between factors related to flood, to be established. The obtained results have illustrated that the designed predicting system can effectively predict the risky area of flood. By other feature user get information about weather .during flood user can find nearest shelter and can reach there using GPS, also communicate with helping organization and apply for help with evidence(image) and can do emergency call using this application user can know what to do during flood. Making an android application is using java, xml, etc. After complete execution of all this functions, the system is tested in different stages and it works successfully as a prototype.