Flood Prediction and Disaster Risk Analysis using GIS based Wireless Sensor Networks, A Review

This paper presents a comprehensive study of the flood analysis and prediction using Geographical Information system (GIS). Different scientists and researchers from all over the world had performed detailed analysis of flood risk assessment specifically for human population and to take precautionary measurements before or after the critical condition of disaster occurs using Remote sensing and satellite images. In this research study, we had performed detailed analysis of Flood Prediction techniques based on GIS using Ad hoc wireless Sensor Network Architecture. We had also proposed a Model for Flood Risk Analysis and prediction, which would be very helpful for us in calculating the impact of Flood damage in disaster hit regions. The GIS domain proves to be very helpful for us in geographical survey and to identify the tsunamis causing vast potential and economical damage. In this research study, we had also used Arc GIS simulation tool to identify pre and post disaster flood risk analysis. Our Research study focuses on various geographical information Systems specifically designed for Flood Disaster management and to analyze necessary input parameters including soil moisture, air pressure, direction of wind, humidity and rain fall. These parameters would be very helpful for us in modelling real life scenarios specifically in case of flood disasters. Our proposed model is also very helpful for us in predicting the upcoming disasters and to take necessary actions by emergency and rescue authorities to save the life of thousands of people before this critical condition occurs.