Hydrological Process Simulation of Sluice-Controlled Rivers in the Plains Area of China Based on an Improved SWAT Model

Rong Gan, Changzheng Chen, Jie Tao () and Yongqiang Shi
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Rong Gan: Zhengzhou University
Changzheng Chen: Zhengzhou University
Jie Tao: Zhengzhou University
Yongqiang Shi: Zhejiang Design Institute of Water Conservancy and Hydro-Electric Power

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 6, No 9, 1817-1835

Abstract: Abstract The construction and operation of sluices and dams inevitably change the natural state of river hydrology and have an impact on river ecosystems. Therefore, simulating the hydrological processes of sluice-controlled rivers is of great significance to river water resource management and ecological restoration. The present study analyzed the complex characteristics of the water cycle of sluice-controlled rivers in the plains area of China including the extraction of the river network’s canal system. The treatment of sluice dams and the simulation of the base flow process of the soil and water assessment tool (SWAT) were improved. A distributed hydrological model of the sluice-controlled rivers in the plains area was constructed. Then, we applied the model to the Shaying River Basin, which has many sluices and dams. The Nash–Sutcliffe efficiency coefficient, percentage deviation, and determination coefficient were used to evaluate the model. The evaluation indices and simulation results of the three hydrological stations in the basin show that the improved SWAT model more accurately identifies the effects of the regulation and storage of the sluices and dams on runoff in the plains area and demonstrates that this model is suitable for simulating the hydrological processes of the sluice-controlled rivers in the plains area.

Keywords: SWAT model; Plains area; Sluice-controlled rivers; Hydrological process simulation (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11269-021-02814-6

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