Prediction of Combined Snowmelt and Rainfall Runoff

Abstract

Prediction of snowmelt runoff is one of the most important problems in the determination of optimum use of water resources. In this study, the combined snowmelt and rainfall runoff during the snowmelt period is predicted using a combination of the tanks and autoregressive models, with parameters identified by the Kalman filtering. The proposed method can accurately predict the snowmelt runoff. The input data used are rainfall, snowfall, runoff and air temperature.