Ting Zhang, Hanqing Hu, Huaming Xie, Chao Yang, Qianjiao Wu, Jiefeng Kou, Xiaorong Lu, Yuyang Xian, Jiadong Wu, Xian Zhou
School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China; Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Hefei, China; Institute of Remote Sensing and Geographic Information Systems, Anhui Jianzhu University, Hefei, China.
School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China; Institute of Remote Sensing and Geographic Information Systems, Anhui Jianzhu University, Hefei, China.
J Contam Hydrol. 2025 Sep;274:104645. doi: 10.1016/j.jconhyd.2025.104645. Epub 2025 Jun 7.
Water transfer can alleviate the uneven distribution of regional water resources and improve the eutrophication status of water bodies in the receiving regions. However, few studies have quantitatively analyzed water quality changes in eutrophic lakes under water division considering the effects of internal and external nutrient load. Chaohu Lake, a large shallow lake in East China, was used as an example. Daily meteorological, hydrological, and water quality data for 2023-2024 were applied to develop a coupled hydrodynamic-water quality model using the Environmental Fluid Dynamics Code, considering seasonal sediment release of ammonia, phosphate, and nitrate. Based on this model, the seasonal contributions to nutrient loads from internal and external sources were quantified. Water transfer scenarios were employed to simulate and compare the spatial and temporal changes in the water level and water quality of Chaohu Lake. The results demonstrated that: 1) The simulated values of the water level, water temperature, and water quality parameters (including TN, TP, and DO) fit well with the measured values, thus confirming the reliability of the model. 2) The annual endogenous release of phosphorus and nitrogen accounted for 76.8 % and 75.3 % of the total load from internal and external sources, respectively. 3) Water transfer measures significantly altered the hydrological conditions of the lake, exacerbated seasonal fluctuations in nutrients, and increased sediment release, leading to an increase in TP concentration, and decrease of TN and DO. Under the four water transfer scenarios, the water transfer path of diverting water into Chaohu Lake (150 m/s) through Zhao River and using the Baishitian River as the outlet significantly improved the water quality of the entire lake, with 5.03 % decrease in TN concentration and a minimum increase (14.29 %) of TP. This study provides a scientific basis for water diversion scheduling and eutrophication regulation in lakes.
调水可以缓解区域水资源分布不均的问题，并改善受水区水体的富营养化状况。然而，很少有研究在考虑内外源营养负荷影响的情况下，对调水过程中富营养化湖泊水质的变化进行定量分析。以中国东部的大型浅水湖泊巢湖为例，利用2023—2024年的每日气象、水文和水质数据，运用环境流体动力学代码（Environmental Fluid Dynamics Code），考虑氨、磷酸盐和硝酸盐的季节性沉积物释放，建立了水动力—水质耦合模型。基于该模型，量化了内外源营养负荷的季节性贡献。采用调水情景模拟并比较了巢湖水位和水质的时空变化。结果表明：1）水位、水温及水质参数（包括总氮、总磷和溶解氧）的模拟值与实测值拟合良好，从而证实了该模型的可靠性。2）磷和氮的年内源释放量分别占内外源总负荷的76.8%和75.3%。3）调水措施显著改变了湖泊的水文条件，加剧了营养物质的季节性波动，并增加了沉积物释放，导致总磷浓度升高，总氮和溶解氧降低。在四种调水情景下，通过兆河以150米/秒的速度向巢湖调水，并以白石天河为出水口的调水路径显著改善了整个湖泊的水质，总氮浓度降低了5.03%，总磷增加量最小（14.29%）。该研究为湖泊调水调度和富营养化治理提供了科学依据。
