Case Studies
Apr 19, 2021

Development of Modified Tank Model for Reservoir Storage Prediction: Case Study of Huanggang Reservoir, Fujian, China

Publication: Journal of Hydrologic Engineering
Volume 26, Issue 7

Abstract

Reservoirs are important water conservancy constructions for flood prevention and disaster reduction in a region. The prediction of reservoir storage is a key task to ensure its safe management and operation. In this study, an innovative modified tank model was developed for the reservoir storage prediction affected by precipitation, natural drainage, and human flood adjustment factors. By transforming the conventional tank model property from a rectangle to a trapezoid as the model characters and incorporating the influence of human flood adjustment factors, the accuracy and especially the physical meaning of the tank model to predict the storage are improved. The case of Huanggang Reservoir, Fujian, China, was used to validate the model prediction ability. The results showed that the average relative error of the improved model was reduced by 2.87%14.94% compared with the original model. In addition, the value of the average relative error of the optimized tank model during the typhoon season decreased by 3.93%23.48%, thereby providing a more accurate prediction of water storage in the flood season.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 26Issue 7July 2021

History

Received: Sep 17, 2020
Accepted: Feb 2, 2021
Published online: Apr 19, 2021
Published in print: Jul 1, 2021
Discussion open until: Sep 19, 2021

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Authors

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Associate Professor, School of Geoscience and Technology, Southwest Petroleum Univ., Chengdu 610500, China. Email: [email protected]
Master’s Student, School of Geoscience and Technology, Southwest Petroleum Univ., Chengdu 610500, China. Email: [email protected]
Assistant Professor, Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, Fujian 362000, China. Email: [email protected]
Section Chief, Reservoir Management Center of Longyan City, Longyanshi Reservoir Management Center, Fujian Province, Longyan 364013, China. Email: [email protected]
Shenghui Cui [email protected]
Professor, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China. Email: [email protected]
Yongbin Luo [email protected]
Director, Reservoir Management Center of Longyan City, Longyanshi Reservoir Management Center, Fujian Province, Longyan 364013, China. Email: [email protected]
Professor, Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, Fujian 362000, China (corresponding author). ORCID: https://orcid.org/0000-0003-2623-0122. Email: [email protected]

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Cited by

  • A Comparative Evaluation of Lumped and Semi-Distributed Conceptual Hydrological Models: Does Model Complexity Enhance Hydrograph Prediction?, Hydrology, 10.3390/hydrology9050089, 9, 5, (89), (2022).
  • Development of Modified LSTM Model for Reservoir Capacity Prediction in Huanggang Reservoir, Fujian, China, Geofluids, 10.1155/2022/2891029, 2022, (1-14), (2022).

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