Decay (organic)
; Estuaries
; Fluid dynamics
; Hydrodynamics
; Numerical models
; River pollution
; Rivers
; Sediment transport
; Sedimentation
; Sediments
; Sensitivity analysis
; Water levels
; Water pollution
; Water quality
; Fecal Coliform
; Microbiological water quality
; Model sensitivity analysis
; Partition coefficient
; Simulations and measurements
; Suspended sediment concentrations
; Three-dimensional model
; Tidal estuarine
; Suspended sediments
; environmental fate
; estuarine environment
; fecal coliform
; hydrodynamics
; intertidal environment
; numerical model
; pollutant transport
; sediment transport
; suspended sediment
; three-dimensional modeling
; Article
; bacterium contamination
; calibration
; environmental impact
; estuary
; fecal coliform
; geographic distribution
; hydrodynamics
; mathematical model
; partition coefficient
; prediction
; process development
; quantitative analysis
; river
; salinity
; sediment
; sediment transport
; sensitivity analysis
; suspension
; Taiwan
; three dimensional model
; velocity
; water quality
; Enterobacteriaceae
; environmental monitoring
; feces
; microbiology
; theoretical model
; water flow
; Dahan River
; Keelung River
; Taiwan
; Taiwan
; Xindian River
; Enterobacteriaceae
; Environmental Monitoring
; Estuaries
; Feces
; Geologic Sediments
; Models, Theoretical
; Rivers
; Taiwan
; Water Microbiology
; Water Movements
Scopus学科分类:
Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要:
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. � 2017 Elsevier Ltd
National Science and Technology Center for Disaster Reduction, New Taipei City, Taiwan; Department of Civil and Disaster Prevention Engineering, National United University, Miaoli, Taiwan
Recommended Citation:
Chen W.-B.,Liu W.-C.. Investigating the fate and transport of fecal coliform contamination in a tidal estuarine system using a three-dimensional model[J]. Marine Pollution Bulletin,2017-01-01,116(2018-01-02)