Simulation Study on the Impact of Water Flow Regulation Based on the MIKE 21 Model in a River Water Environment

Cundong Xu, Zihao Ren (), Song Huang, Jiaming Li, Yahui Zi and Xiaomeng Hu
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Cundong Xu: Institute of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Zihao Ren: Institute of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Song Huang: Institute of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Jiaming Li: Institute of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Yahui Zi: Institute of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Xiaomeng Hu: Institute of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China

Sustainability, 2023, vol. 15, issue 13, 1-20

Abstract: Inadequate hydrodynamics can cause deterioration of the water environment within rivers. Regulating water conservancy projects can effectively improve the state of the water environment of rivers and promote sustainable regional development. The river plain in Zhejiang Province, China, suffers from severe hydrodynamic deficiencies, which have a significant impact on the state of the regional water environment. To investigate the changing state of the water environment of the river plain under water conservancy project control, in this study we constructed a two-dimensional hydrodynamic–water quality model based on the AD and ECOLAB modules in MIKE 21 software 2014 Edition. Combined with conservative tracers, the changes in the water displacement rate, flow rate, and water environment quality of the river plain were simulated under different regulation schemes over 7 days. A quantitative analysis of the effects of improving the state of the water environment in the river plain was carried out using a cluster analysis and a cloud model. (1) The water replacement rate of the outer river reached 90% after 3 days and approached 100% after 7 days. The water replacement rates of the inner pond were 51.2, 49.6, and 55.8%. This indicated that the engineering control measures effectively improved the replacement capacity of the river. (2) The contents of DO and BOD 5 in the river have increased from class V to above class 3. The overall water quality is in the range of classes 2 to 3, and in some parts it can reach class 1. This indicates that the regulatory plan played a certain role in improving the river water environment. (3) The water pollution in the study area showed a fluctuating and decreasing trend over 7 days. There was a positive correlation between the flow velocity, water replacement rate, DO, and BOD 5 .

Keywords: water environment; river plains; water quality; MIKE 21; cloud model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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