Modelling of E. coli distribution in coastal areas subjected to combined sewer overflows.
Modelling of E. coli distribution in coastal areas subjected to combined sewer overflows.
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DOI：
10.2166/wst.2013.353
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发表时间：
2013-09
期刊：
影响因子：
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通讯作者：
M. De Marchis;G. Freni;E. Napoli
中科院分区：
文献类型：
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作者：
M. De Marchis;G. Freni;E. Napoli
河流、湖泊和海洋长期以来一直是城市污水和暴雨沃茨的天然接收者，但由于这种做法的可持续性低、人口的增加和环境敏感性的恢复，增加了研究人员对分析和减轻城市沃茨对接收水体（RWB）影响的兴趣。在欧洲，排水系统和RWB的综合建模已被推广为执行水框架指令的一种有前途的方法。一个特别感兴趣的是病原体的命运，特别是大肠杆菌，在所有的情况下，在人口和RWB之间的相互作用是预见的。本文旨在提出一个综合的水质模型，包括几个下水道系统（SS）排放污染溢流在沿海敏感的海洋环境的分析。从建模的角度来看，所提出的应用程序集成了一维排水系统模型与复杂的三维模型分析传播的空间和时间的E。大肠杆菌在沿海地区。集成的方法进行了测试，在一个真实的案例研究（Acicastello湾在意大利），其中的数据可用于SS模型和RWB传播模型校准。分析表明，模型和监测数据之间有很好的协议。综合模型被证明是一个有价值的工具，调查污染物的传播，并突出受影响最严重的地区。
Rivers, lakes and the sea were the natural receivers of raw urban waste and storm waters for a long time but the low sustainability of such practice, the increase of population and a renewed environmental sensibility increased researcher interest in the analysis and mitigation of the impact of urban waters on receiving water bodies (RWB). In Europe, the integrated modelling of drainage systems and RWB has been promoted as a promising approach for implementing the Water Framework Directive. A particular interest is given to the fate of pathogens and especially of Escherichia coli, in all the cases in which an interaction between population and the RWB is foreseen. The present paper aims to propose an integrated water quality model involving the analysis of several sewer systems (SS) discharging their polluting overflows on the coast in a sensitive marine environment. From a modelling point of view, the proposed application integrated one-dimensional drainage system models with a complex three-dimensional model analysing the propagation in space and time of E. coli in the coastal marine area. The integrated approach was tested in a real case study (the Acicastello bay in Italy) where data were available both for SS model and for RWB propagation model calibration. The analysis shows a good agreement between the model and monitored data. The integrated model was demonstrated to be a valuable tool for investigating the pollutant propagation and to highlight the most impacted areas.