Flood Forecasting Using Artificial Neural Network for Kalu Ganga

Abstract

Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that the use of artificial intelligence, especially artificial neural networks is suitable for flood forecasting systems and identify the input variables, feed them to the ANN and train the model. Then test the model using test data and predict flood level in Kaluthara and Ratnapura area using that ANN model.