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Simulation Analysis of Water Resource Scheduling in Nansu River Based on Coupled Water Quality-Quantity Model
HOU Xiang-dong, ZHAO Xiang-ling
Journal of Changjiang River Scientific Research Institute ›› 2025, Vol. 42 ›› Issue (6) : 29-35.
PDF(5578 KB)
PDF(5578 KB)
Simulation Analysis of Water Resource Scheduling in Nansu River Based on Coupled Water Quality-Quantity Model
[Objectives] With the socioeconomic development, conflicts among the population, water resources, and the environment have become increasingly prominent. Conducting research on water quality and quantity in rivers that flow through urban areas and serve functions such as water supply and irrigation, and implementing rational scheduling, is of significance for ensuring a healthy aquatic ecosystem and enhancing the well-being of local residents. [Methods] The Nansu River Basin was selected as the research area. A one-dimensional hydrodynamic-water environment coupled MIKE11 model was constructed, utilizing chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) as key indicators. The external boundary conditions for the hydrodynamic module were defined by upstream inflow and downstream outflow, with observed hydrological data serving as model inputs. For the water environment module, the boundary conditions were established based on the water environmental characteristics at the river boundaries and pollutant discharge data entering the river. [Results] The water environmental capacity (WEC) refers to the maximum permissible pollutant load that a water body can assimilate per unit time under specified water domain boundaries, hydrological conditions, regulated sewage discharge modes, and predefined water quality targets. The monthly average WEC for COD and NH3-N showed a consistent pattern, with the highest capacity observed during the high-flow season, followed by the normal-flow season, and the lowest during the low-flow season. Water quality in the Nansu River deteriorated rapidly during the early flood season. To improve water quality, seven scheduling schemes were proposed by addressing two key aspects: controlling pollutant inflow from tributaries and increasing mainstream flow. [Conclusions] Improving water quality requires intervention in two primary areas: controlling pollutant inflow from tributaries and increasing the flow of the main stream. Based on the actual conditions of the basin and a comparison of seven regulation schemes, the Oupugou tributary is identified as the primary source of pollution affecting the mainstream. While both approaches—pollutant inflow control and mainstream flow increase—can achieve water quality improvement, the effect of pollution control is more significant than that of flow regulation. According to the comparative analysis of the scheduling schemes, the optimal scheme for improving water quality is to close the sluice gates of the Oupugou tributary to prevent pollutant inflow, and to moderately regulate water flow to further improve water quality.
water resources scheduling / water quality and quantity coupling model / MIKE11 / water environmental capacity / ecological scheduling / Nansu River
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In order to assess the dynamic characteristics of environment capacity, the <em>m</em> value of assimilative capacity method based on the MIKE 11 model was first proposed and applied in the Guohe River in the water transfer project from Yangtze River to Huaihe River. The result showed that: 1) It is feasible to analyze the dynamic characteristics of river water environment capacity through this method, as it integrates total maximum daily load with pollutant concentration control. 2) The model reflecting the space-time evolution of COD and ammonia nitrogen can be built with reasonable parameters. The MIKE 11 model takes into account of factors such as river bed roughness, longitudinal diffusion coefficient, integrated attenuation coefficient, maximum water content of surface water storage layer, maximum water content of soil or root zone water storage layer and other factors. The <em>Re</em>, <em>R</em><sup>2</sup> and <em>Ens</em> of simulated water depth are 3.30%, 0.990 and 0.984 respectively. The <em>Re</em>, <em>R</em><sup>2</sup> and <em>Ens</em> of flow rate are 9.8%, 0.969 and 0.997 respectively. The COD simulation error at the cross section of Yimen Bridge is 13.7%, and the simulation error of ammonia nitrogen is 14.7%. 3) With the <em>m</em> value of assimilative capacity method based on the MIKE 11 model, the monthly average environmental capacity of COD is -220.48 g/s and the average monthly environmental capacity of ammonia nitrogen is -10.97 g/s in Qiaocheng area; the monthly average environmental capacity of COD is -17.05 g/s and the average monthly environmental capacity of ammonia nitrogen is 2.56 g/s in Guoyang County; the monthly average environmental capacity of COD is 30.58 g/s and the average monthly environmental capacity of ammonia nitrogen is 4.47 g/s in Mengcheng County; the monthly average environmental capacity of COD is 176.59 g/s and the average monthly environmental capacity of ammonia nitrogen is 10.67 g/s in Huaiyuan County. Compared with 1-D model, the <em>m</em> value in assimilative capacity method based on the MIKE 11 model is more accurate. This method can broaden the application of the MIKE 11 model. The result could provide technical support to calculate dynamic environmental capacity in the water transfer project from Yangtze River to Huaihe River and contribute to river training works.
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