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Effects of wind-driven circulation on river intrusion in Lake Tegel: modeling study with projection on transport of pollutants

机译:风循环对特格尔湖河道入侵的影响:以污染物迁移预测为模型的研究

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Prediction of mixing intensity of water masses in riverine Lake Tegel (Berlin, Germany) can be used to trace the fate of pollutants that enter the lake through several inflows. Because the contributions of each inflow have not yet been quantified and because the lake features complex bathymetry and numerous islands, a hydrodynamic circulation model with high spatial resolution and dynamic wind forcing is useful. We applied the two-dimensional version of the Princeton Ocean Model to separate the influences of wind and river discharge on the currents and mass transport in Lake Tegel. For model validation, we compared the simulation results with 1 year of electrical conductivity data, which was used as a conservative tracer to distinguish between water from the River Havel and water supplied by a smaller second inflow. Calculation of currents alone is insufficient to investigate water exchanges between rivers and lakes, especially when several islands create multiple pathways for river intrusion. Therefore, mass transport simulations are applied. Our calculations based on archetypical scenarios indicate that the proportion of (polluted) water from the River Havel in the main basin of Lake Tegel fluctuates with river discharge and wind, which either amplify or neutralize each other.
机译:可以预测泰格尔湖(德国柏林)中水团的混合强度,以追踪通过几次流入而进入湖中的污染物的命运。由于尚未对每次流入的贡献进行量化,并且由于该湖具有复杂的测深法和众多岛屿,因此具有高空间分辨率和动态风强迫的流体动力循环模型是有用的。我们应用了普林斯顿海洋模型的二维版本来分离风和河流量对特格尔湖水流和大众运输的影响。为了进行模型验证,我们将模拟结果与1年的电导率数据进行了比较,该电导率数据被用作保守示踪剂,以区分来自哈弗河的水和较小的第二次入水供应的水。仅靠水流的计算不足以调查河流和湖泊之间的水交换,特别是当几个岛屿为河流入侵创造了多种途径时。因此,应用了大众运输模拟。我们根据典型情况进行的计算表明,在泰格尔湖主盆地的哈弗河中(受污染的)水的比例随河水流量和风的变化而波动,二者相互放大或抵消。

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