Integration of GIS & Soft Computing Techniques for Enhancing Flood Forecasting and Monitoring on the River – A case Study of Wainganga Tributary of River Godavari

Existing flood forecasting models are highly data specific, and their operational performance depends upon the science used to build and operate these models as well as their ability to respond to dynamic and rapidly changing events. Soft computing is one of the latest approaches for the development of systems, which possess computational intelligence. It attempts to integrate several different computing paradigms including artificial neural networks, fuzzy logic and genetic algorithms to create 'smart' systems. The methodology may provide a good performing, low-cost solution that may readily be integrated into existing operational flood forecasting systems to provide a performance enhancement.