Dipartimento di Ingegneria Idraulica ed Applicazioni Ambientali, Università di Palermo, Viale delle Scienze, 90128 Palermo, Italy.
Water Sci Technol. 2010;62(10):2301-12. doi: 10.2166/wst.2010.404.
Urban water quality management often requires use of numerical models allowing the evaluation of the cause-effect relationship between the input(s) (i.e. rainfall, pollutant concentrations on catchment surface and in sewer system) and the resulting water quality response. The conventional approach to the system (i.e. sewer system, wastewater treatment plant and receiving water body), considering each component separately, does not enable optimisation of the whole system. However, recent gains in understanding and modelling make it possible to represent the system as a whole and optimise its overall performance. Indeed, integrated urban drainage modelling is of growing interest for tools to cope with Water Framework Directive requirements. Two different approaches can be employed for modelling the whole urban drainage system: detailed and simplified. Each has its advantages and disadvantages. Specifically, detailed approaches can offer a higher level of reliability in the model results, but can be very time consuming from the computational point of view. Simplified approaches are faster but may lead to greater model uncertainty due to an over-simplification. To gain insight into the above problem, two different modelling approaches have been compared with respect to their uncertainty. The first urban drainage integrated model approach uses the Saint-Venant equations and the 1D advection-dispersion equations, for the quantity and for the quality aspects, respectively. The second model approach consists of the simplified reservoir model. The analysis used a parsimonious bespoke model developed in previous studies. For the uncertainty analysis, the Generalised Likelihood Uncertainty Estimation (GLUE) procedure was used. Model reliability was evaluated on the basis of capacity of globally limiting the uncertainty. Both models have a good capability to fit the experimental data, suggesting that all adopted approaches are equivalent both for quantity and quality. The detailed model approach is more robust and presents less uncertainty in terms of uncertainty bands. On the other hand, the simplified river water quality model approach shows higher uncertainty and may be unsuitable for receiving water body quality assessment.
城市水质管理通常需要使用数值模型,以评估输入(如降雨、集水区表面和污水系统中的污染物浓度)与产生的水质响应之间的因果关系。传统的系统方法(即污水系统、污水处理厂和受纳水体),分别考虑每个组件,无法实现整个系统的优化。然而,最近在理解和建模方面的进展使得能够将系统作为一个整体来表示,并优化其整体性能。事实上,集成城市排水建模对于满足水框架指令要求的工具越来越有吸引力。可以采用两种不同的方法对整个城市排水系统进行建模:详细和简化。每种方法都有其优点和缺点。具体来说,详细方法可以在模型结果中提供更高的可靠性,但从计算角度来看可能非常耗时。简化方法更快,但由于过度简化,可能会导致更大的模型不确定性。为了深入了解上述问题,对两种不同的建模方法进行了比较,以了解其不确定性。第一种城市排水综合模型方法使用圣维南方程和一维对流-扩散方程,分别用于数量和质量方面。第二种模型方法由简化的水库模型组成。该分析使用了以前研究中开发的简约定制模型。对于不确定性分析,使用了广义似然不确定性估计(GLUE)程序。模型可靠性是基于全球限制不确定性的能力来评估的。这两种模型都具有很好的拟合实验数据的能力,这表明所有采用的方法在数量和质量方面都是等效的。详细模型方法更稳健,在不确定性带方面具有更小的不确定性。另一方面,简化的河流水质模型方法显示出更高的不确定性,可能不适合受纳水体质量评估。