丹江口水库2025年藻类异常增殖期间水动力模拟

    Hydrodynamic simulation of Danjiangkou Reservoir during abnormal algal proliferation period in 2025

    • 摘要: 为深入探究水动力条件对大型水库藻类异常增殖发生与消退过程的影响机制与作用规律,以2025年夏季丹江口水库藻类异常增殖事件作为典型案例,基于EFDC模型构建了平面二维水动力-水龄耦合模型,模拟并分析了藻类异常增殖期间库区流场结构特征、水体交换强度以及水龄时空分布的动态变化规律。研究结果表明:在低水位运行期间,丹库整体呈现典型的静水湖泊特征,丹库平均流速低于0.01 m/s,水体滞留性强,水龄随时间推移持续累积升高,形成了适宜藻类快速繁殖的稳定环境;进入秋汛期后,洪水大量入库显著改变了原有水动力格局,通过强烈的水体掺混作用促进汉库与丹库间的水量交换,最大瞬时交换流量达到6 015 m3/s,这一水动力过程有效降低了丹库水龄,破坏了原有藻类聚集所需的水动力条件,从而显著加速了藻类异常增殖的消退进程。研究成果揭示了秋汛洪水过程对水库水动力条件的重塑作用,并分析了强烈水文扰动事件对水库藻类异常增殖生消过程的影响,研究成果可为大型水库的藻类异常增殖预警及水生态环境管理提供参考依据。

       

      Abstract: To deeply investigate the influence mechanism and regulatory patterns of hydrodynamic conditions on the occurrence and recession process of abnormal algal proliferation in large reservoirs, this study takes the abnormal algal proliferation event in the Danjiangkou Reservoir during the summer of 2025 as a typical case. A two-dimensional planar hydrodynamic-water age coupled model was constructed based on the EFDC model. The model simulated and analyzed the characteristics of the flow field structure, the intensity of water exchange, and the dynamic spatiotemporal distribution of water age in the reservoir area during the algal proliferation event. The research results indicated that during the low-water-level operation period, the Danjiang sub-reservoir exhibited overall characteristics typical of a static lake with an average flow velocity in the Danjiang sub-reservoir below 0.01 m/s and strong water retention, and the water age continued to accumulate and increase over time, creating a stable environment conducive to the rapid proliferation of algae. Upon the arrival of the autumn flood season, the substantial inflow of floodwater significantly altered the original hydrodynamic pattern. Through intense water mixing, it promoted water exchange between the Hanjiang sub-reservoir and the Danjiang sub-reservoir, with the maximum instantaneous exchange discharge reaching 6 015 m3/s. This hydrodynamic process effectively reduced the water age in the Danjiang sub-reservoir, disrupted the original hydrodynamic conditions necessary for algal aggregation, and thereby significantly accelerated the recession of the abnormal algal proliferation event. The research findings reveal the reshaping effect of autumn flood events on the hydrodynamic conditions of reservoirs and analyze the impact of strong hydrological disturbance events on the occurrence and recession process of abnormal algal proliferation in the reservoir. The results can provide a reference basis for early warning of abnormal algal proliferation and water ecological environment management in large reservoirs.

       

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