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首页> 外文期刊>Journal of Environmental Engineering >Parametric Study of Fate and Transport Model of E. coli in the Nearshore Region of Southern Lake Michigan
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Parametric Study of Fate and Transport Model of E. coli in the Nearshore Region of Southern Lake Michigan

机译:南密歇根湖近岸地区大肠杆菌命运与运输模型的参数研究

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摘要

Forecasting the level of waterborne bacterial pathogens (E. coli as indicator) in recreational waters using a deterministic model has been a very effective tool for water quality prediction and management. The fate and transport of pathogens in water is a complex process controlled by various factors of hydrodynamics, hydrology, chemistry, and microbiology. To better understand the importance of these factors and their roles in the inactivation, transport, and removal of pathogens, it is extremely important to enhance the reliability and effectiveness of a model by increasing the accuracy of simulation and prediction. This paper reports the results of sensitivity analyses on each of these factors using a calibrated hydrodynamic model coupled with a water quality model for temperature variation and E. coli transport. A nearshore region in southern Lake Michigan was used as the modeling domain in this research. Based on the sensitivity analysis method of differential analyses coupled with one-at-a-time design, the results show that the sensitivity of the different parameters can be ranked in decreasing order as follows: solar insolation, temperature correction factor, dispersion coefficients, tributary loading, wind velocity, and settling velocity. More detailed investigation of sunlight-related parameters using Chapra's formula shows that t_(90) is predominant over other factors on E. coli inactivation caused by insolation. The sensitivity of sunlight-related parameters can be ranked in decreasing order as follows: t_(90), θ_d, k_e, α, and θ_l. The model used in this study, together with the sensitivity analysis results, can be used as a reference for similar pathogen transport investigations in other freshwater bodies.
机译:使用确定性模型预测娱乐水域中的水生细菌病原体水平(以大肠杆菌为指标)已成为水质预测和管理的非常有效的工具。病原体在水中的命运和运输是一个复杂的过程,受流体动力学,水文学,化学和微生物学等多种因素控制。为了更好地理解这些因素的重要性及其在灭活,运输和去除病原体中的作用,通过提高模拟和预测的准确性来提高模型的可靠性和有效性极为重要。本文报告了使用校准的水动力模型以及温度变化和大肠杆菌运输的水质模型对这些因素进行敏感性分析的结果。这项研究使用了密歇根湖南部的近岸地区作为建模领域。基于差分分析的灵敏度分析方法和一次性设计,结果表明,不同参数的灵敏度可以按降序排列,依次为:日照,温度校正因子,色散系数,支流负载,风速和沉降速度。使用Chapra公式对日光相关参数进行更详细的研究表明,t_(90)优于其他因日晒引起的大肠杆菌失活的因素。可以将与阳光有关的参数的灵敏度按降序排序,如下所示:t_(90),θ_d,k_e,α和θ_1。本研究中使用的模型以及敏感性分析结果,可作为其他淡水体中类似病原体迁移研究的参考。

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