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引江补汉工程运行对三峡水源区水环境的影响预测
吴贞晖, 王孟, 刘扬扬, 吴比, 肖洋, 张可可
raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (2) : 194-203.
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引江补汉工程运行对三峡水源区水环境的影响预测
Predicting the Impact of Water Diversion Project from Yangtze River to Hanjiang River on Water Environment in the Water Source Area of Three Gorges Reservoir
引江补汉工程实施将引起三峡库区水文情势和水质变化。为预测引江补汉工程运行对水源区水环境的影响,构建水源区二维水动力水质模型,分析丰、平、枯、特枯水年情景下水源区水文情势、水动力变化和化学需氧量(COD)、氨氮、总磷浓度时空分布特征,并提出相应的水环境保护措施。结果表明:引江补汉工程实施后,龙潭溪取水口水域水动力条件显著增强,各月流速增幅达0~0.04 m/s;工程实施后取水口水质受引水拖拽作用趋向于主库区,不同典型年下该断面COD、氨氮、总磷年均变化幅度分别介于-2.31%~0.41%、4.18%~8.20%、0.77%~1.82%,非引水时段有发生富营养化风险。研究成果可为引江补汉工程水源区水环境保护与治理提供理论与技术支撑。
The implementation of the Yangtze-to-Hanjiang River Diversion Project will significantly alter the hydrology and water quality of the Three Gorges Reservoir(TGR). To predict its environmental impacts on the water source area of TGR, we develop a two-dimensional hydrodynamic and water quality model to analyze changes in hydrological and hydrodynamic conditions across wet, normal, dry, and extremely-dry years, and also reveal the spatiotemporal distribution characteristics of COD, NH3-N, and TP concentration. Based on these results, we propose corresponding water environment protection measures. Results indicate a substantial improvement in the hydrodynamic conditions at the Longtanxi water intake following the project’s implementation, with monthly flow velocities increasing by 0 to 0.04 m/s. Due to the river diversion’s dragging effect, the water quality in the intake area approaches that of the main reservoir area. The annual average changes in COD, NH3-N, and TP concentration at the water intake during different typical years range from -2.31% to 0.41%, 4.18% to 8.2%, and 0.77% to 1.82%, respectively. Additionally, there is a risk of eutrophication in the intake area during non-diversion periods. These findings provide theoretical and technical support for the protection and remediation of water environment in the water source area.
引江补汉工程 / 三峡水源区 / 水环境影响预测 / 数值模拟 / 二维水动力水质模型 / 水环境保护与治理
Water Diversion Project from the Yangtze River to the Hanjiang River / water source area of the Three Gorges Reservoir / water environmental impact prediction / numerical simulation / two-dimensional hydrodynamic and water quality model / protection and remediation of water environment
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The aim of this study is to scientifically implement water diversion projects and effectively provide water security for high-quality development and environmental protection. The research progress of water diversion projects is reviewed in terms of industry standards, specifications, and related studies. It was found that water demand prediction tends to be overly high, the integrity of comprehensive benefit evaluation needs to be improved, the standard of ecological compensation mechanism remains incomplete, and post-evaluation and tracking work is insufficient. To support the spatial equilibrium of water resource allocation and the construction of national water networks, future water diversion projects need to strengthen environmental protection and whole-stage follow-up evaluation, perform full cost pricing, perfect the investment and financing system, and improve information and intelligent management. |
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Quantitatively analyzing changes in the pollution bearing capacity of rivers under varying hydrological and water quality conditions holds significant practical importance for water resource protection and pollution control within a basin or region. This study focuses on the Sanduizi-Lazha section of Panzhihua City, located at the tail of the Wudongde Reservoir on the Jinsha River. We examined the impact of hydrological and water quality conditions on ammonia nitrogen bearing capacity of the river reach. Results indicate that when the flow rate at Sanduizi section ranges from 900 to 2 000m<sup>3</sup>/s, and ammonia nitrogen concentrations range from 0.10 to 0.50 mg/L, the ammonia nitrogen bearing capacity in this section varies from 235.12 to 4 670.38 t/a. Changes in flow rate and ammonia nitrogen concentration in the Sanduizi section show a linear correlation with ammonia nitrogen bearing capacity. Specifically, under low flow rates and ammonia nitrogen concentrations, the comprehensive variation in ammonia nitrogen bearing capacity ranges from 0.86 to 64.23 t/a, with hydrological factors predominantly influencing these changes. Conversely, under high flow rates and ammonia nitrogen concentrations, the comprehensive variation ranges from -105.34 to -1.84 t/a, with water quality factors primarily driving these variations. These findings offer insights and guidance for water resource protection and pollution control strategies within river basins or regions.
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Xili reservoir is one of the most important drinking water sources in Shenzhen. The water quality of the reservoir affects the water supply safety of the whole city. We aim to get timely and accurate water quality prediction results for formulating a scientific and reasonable water supply plan for the reservoir and water plant. Based on data decomposition using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), we established a long- and short-term memory network model of water quality prediction for Xili Reservoir. Through extensive simulation and calculation, the model demonstrates excellent performance. The prediction results of total nitrogen, ammonia nitrogen and total phosphorus in the water quality prediction model are in good agreement with measured results. For total nitrogen and ammonia nitrogen, the relative prediction error of the model can be controlled below 10%. This highlights the model’s ability to effectively simulate the changing water quality in the reservoir and underscores the model’s rationality. The research findings serve as vital model and technical support for water quality prediction and the development of water supply plans for the Xili Reservoir.
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