Development of Tank Model to Predict the Flow to Thac Xang Reservoir, Vietnam

Abstract

Efficient operation of a water source is pivotal in harnessing water resources and mitigating flood-related damages. Precise forecasting of
inflow rates to dam reservoirs is crucial for effective reservoir control. As a result, extensive research at both international and domestic levels
has been conducted to develop and optimize flow forecasting models. This article presents a demonstration of runoff forecasting with rainfall
data using an established tank model. The model is implemented and visualized using MATLAB Simulink. To optimize and validate the
model, data from studies of the Thac Xang hydropower reservoir are utilized. The proposed flow prediction model has been adjusted to
achieve a correlation coefficient of 74.0%. This model was used to predict the flow rate for the period from 1971 to 1976, achieving a
correlation coefficient of 70.0%. The model predicted a flow rate trend that closely matched the measured flow rate trend at the monitoring
stations in this area. Although the correlation coefficient is not high in this case, the model can still be applied to predict flow and effectively
manage and regulate the water resources at the Thac Xang hydroelectric reservoir in Vietnam.