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Investigating the fate and transport of fecal coliform contamination in a tidal estuarine system using a three-dimensional model

机译:使用三维模型调查潮汐河口系统中粪大肠菌群污染的命运和转移

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A three-dimensional fecal coliform transport model was developed and incorporated into a hydrodynamic and suspended sediment transport model to better understand the microbiological water quality in the tidal Tamsui River estuarine system of northern Taiwan, which includes three main tributaries: Dahan River, Xindian River, and Keelung River. The model was calibrated using the water level, salinity, suspended sediment concentration, and fecal coliform data measured in 2010. The predictive skill, a statistical approach, is used to evaluate the model performance. There was quantitatively good agreement between the simulation and measurement results. Further, the calibrated model underwent model sensitivity analysis by varying the model parameters which include the settling velocity, darkness decay rate, partition coefficient, and fecal coliform concentration in the sediment bed. The results indicated that the settling velocity played the most important role in affecting fecal coliform concentrations followed by partition coefficient, darkness decay rate, and fecal coliform concentration in the sediment bed. The model was also used to investigate the effects of salinity and suspended sediment on fecal coliform contamination. The salinity module was excluded in the simulations, resulting in an increase of fecal coliform concentration. However the effect of salinity on fecal coliform concentration is minor. If the suspended sediment transport was excluded in the simulations, the predicted results of fecal coliform concentration decrease to be underestimated the measured data. The modeling results revealed that the inclusion of the suspended sediment transport model in the simulations was of crucial importance because the fecal coliform concentrations were significantly influenced by the suspended sediment concentration in the estuarine system. (C) 2017 Elsevier Ltd. All rights reserved.
机译:开发了三维粪便大肠菌群运输模型,并将其纳入水动力和悬浮泥沙运输模型,以更好地了解台湾北部潮汐淡水河河口系统的微生物水质,该系统包括三个主要支流:大汉河,新店河,和基隆河使用2010年测得的水位,盐度,悬浮沉积物浓度和粪大肠菌群数据对模型进行了校准。使用预测技巧(一种统计方法)来评估模型的性能。在模拟和测量结果之间在数量上有很好的一致性。此外,通过改变包括沉降速度,暗度衰减率,分配系数和粪便中大肠菌群浓度的模型参数,对模型进行模型敏感性分析。结果表明,沉降速度在影响粪便大肠菌群浓度中起最重要的作用,其次是分配系数,暗度衰减率和沉积床中粪便大肠菌群浓度。该模型还用于研究盐度和悬浮沉淀物对粪便大肠菌群污染的影响。模拟中不包括盐度模块,导致粪便大肠菌群浓度增加。然而盐度对粪大肠菌群浓度的影响很小。如果在模拟中排除了悬浮泥沙的输送,则粪大肠菌群浓度的预测结果将降低,从而低估了测量数据。建模结果表明,在模拟中包括悬浮泥沙运移模型至关重要,因为粪便大肠菌群的浓度受河口系统中悬浮泥沙浓度的影响很大。 (C)2017 Elsevier Ltd.保留所有权利。

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