Measuring optimal condition of rainfall-streamflow network model based on multivariate linear regression analysis for flood forecasting in Klong Luang sub-watershed, Chon Buri province, Thailand

Abstract

          A simplified rainfall-streamflow network model on the basis of multivariate linear regression (MLR) analysis has been proposed. To determine significant coefficient of streamflow network among the area of interests, eleven MLR models, i.e., models 1 to 11, were examined. We used the Geographic Information System (GIS) and Remotely Sensed Data (RS), where data were recorded from Klong Luang (KGT.19 Station) sub-watershed, Phanat Nikhom district, Mueang Chon Buri district, Ban Bueng district, and Phan Thong district, at Chon Buri province, Thailand. The experimental result showed that the MLR based models 8 and 11 were most applicable to be employed for this purpose. The proposed model could considerably be applied to flood forecasting, water resource management, flood hazard planning, and flood early warning.