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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    A STUDY ON THE INVESTIGATION OF THE FLOW TO THAC XANG RESERVOIR (VIETNAM) USING THE TANK MODEL
    Ha Van Thuy1, Nguyen Duc Khoat2, Khong Cao Phong3, Nhu-Tung Nguyen4*
    Journal of Data Acquisition and Processing, 2023, 38 (4): 774-786 . 

    Abstract

    Abstract: Efficient operation of a water tank is pivotal in harnessing water resources and mitigating flood-related damages. Precise management 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 rain shower forecasting and flow calculation using an established tank model. The model is implemented and visualized using MATLAB Simulink. To optimize and validate the model, data from hydropower reservoir studies 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 in the period from 1971 to 1976 at Thac Xang hydroelectric reservoir, Vietnam with the correlation coefficient of 70.0%. This model predicted a flow rate trend that was quite close to the measured flow rate trend at the monitoring stations in this area. Although in this case, the correlation coefficient is not really high, the model can be applied to predict flow to effectively manage and regulate the water resources at Thac Xang hydroelectric reservoir, Vietnam.

    Keyword

    Tank model; Thac Xang reservoir; MATLAB Simulink; Hydroelectric reservoir


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