A GIS Based Hydrological Model for River Water Level Detection & Flood Prediction featuring morphological operations.

Mostly river water level and flood forecasting methods are based on gauging stations measurements at discrete locations, which limits their capability to provide accurate and timely data over large extent, also limited or no data available on remote locations. So here we present an idea to use high resolution satellite images for real time mapping of river water level. In this project, we developed a Web based GIS system for mapping river water level, early warning and mapping for flood disasters. To improve flood forecasting/ warning, we developed a decision support system (DSS) for flood monitoring and prediction that integrates GIS, satellite image processing and hydrological modelling. We present the methodology for data integration, floodplain delineation, and online map interfaces. Our Web based GIS system can dynamically display observed and predicted water levels for decision makers and the general public. The users can access a Web-based GIS system which models current flood events and displays satellite imagery and 3D visualization integrated with the flood plain area. The output from the hydrological modeling will be used for flooding prediction for the next 1 day to 2 days (24 and 48 hours) along the lower Indus River. In this stage river water level analysis has been achieved, work on the hydrological modelling is in progress to acquire river water stage & flood level and the prediction.