Chen Wei-Bo, Liu Wen-Cheng
National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan.
Department of Civil and Disaster Prevention Engineering, National United University, Miaoli 36063, Taiwan.
Mar Pollut Bull. 2017 Mar 15;116(1-2):365-384. doi: 10.1016/j.marpolbul.2017.01.031. Epub 2017 Jan 21.
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.
开发了一个三维粪大肠菌群输运模型,并将其纳入水动力和悬浮泥沙输运模型中,以更好地了解台湾北部淡水河河口潮汐系统的微生物水质,该系统包括三条主要支流:大汉溪、新店溪和基隆河。利用2010年测量的水位、盐度、悬浮泥沙浓度和粪大肠菌群数据对模型进行了校准。采用预测技能这一统计方法来评估模型性能。模拟结果与测量结果在数量上吻合良好。此外,通过改变模型参数(包括沉降速度、黑暗衰减率、分配系数和沉积物床层中的粪大肠菌群浓度)对校准后的模型进行了模型敏感性分析。结果表明,沉降速度对粪大肠菌群浓度的影响最为重要,其次是分配系数、黑暗衰减率和沉积物床层中的粪大肠菌群浓度。该模型还用于研究盐度和悬浮泥沙对粪大肠菌群污染的影响。模拟中排除了盐度模块,导致粪大肠菌群浓度增加。然而,盐度对粪大肠菌群浓度的影响较小。如果在模拟中排除悬浮泥沙输运,粪大肠菌群浓度的预测结果会降低,从而低估实测数据。建模结果表明,在模拟中纳入悬浮泥沙输运模型至关重要,因为河口系统中的粪大肠菌群浓度受悬浮泥沙浓度的显著影响。