SIMULATION OF MONTHLY STREAMFLOWS USING LINEAR REGRESSION AND ANN MODELS

Abstract

ABSTRACT Streamflow simulation is essential for planning, designing and operation of water resources projects. In the present study, monthly streamflows during monsoon period are simulated using linear regression and artificial neural network models. The gauging sites of Mancherial, Perur and Polavaram of Godavari basin of India are selected for the present study. The study reveals that the performance of linear regression models in the simulation of streamflow is satisfactory and improvement in the performance has been observed using optimal neural network architectures. The linear regression model may be adopted for the simulation of streamflows at Polavaram gauging site where the flows do not exhibit much of non-linearity and ANN models at Peruru and Mancherial gauging sites using the streamflows of upstream gauging sites of the basin.