Meirlaen J, Van Assel J, Vanrolleghem P A
BIOMATH, Ghent University, Gent, Belgium.
Water Sci Technol. 2002;45(3):109-16.
The urban wastewater system (sewer and treatment plant) has a major impact on the river water quality of urban streams. To minimise this impact, real time control is a valuable option. Since the ultimate goal of any control strategy is to optimise the quality of the river system, it is useful to take pollutant immissions into account when determining the control strategy and/or the setpoints of the controller. However, a simultaneously simulating model of the complete system is needed in order to allow design and evaluation of such control strategies. In this work an integrated model of the urban wastewater system is created. This has been accomplished by implementing surrogate models of the three subsystems within a single software platform. The coupled submodels are subsequently used in a semi-hypothetical case study to optimise the resulting river water quality. An ammonia sensor in the river has been used to control the amount of water treated biologically in the treatment plant. It was shown that this integrated control could lower the peak ammonia concentration in the part of the river downstream of the treatment plant. Hence, a proof of principle has been given that the use of measurements in the river to perform control actions in the sewer system and the treatment plant is a promising option.
城市污水系统（下水道和污水处理厂）对城市溪流的河流水质有重大影响。为了将这种影响降至最低，实时控制是一个有价值的选择。由于任何控制策略的最终目标都是优化河流系统的水质，因此在确定控制策略和/或控制器的设定值时考虑污染物排放是很有用的。然而，为了能够设计和评估此类控制策略，需要一个完整系统的同时模拟模型。在这项工作中，创建了一个城市污水系统的综合模型。这是通过在单个软件平台内实现三个子系统的替代模型来完成的。随后，耦合子模型被用于一个半假设的案例研究中，以优化最终的河流水质。河流中的氨传感器已被用于控制污水处理厂中生物处理的水量。结果表明，这种综合控制可以降低污水处理厂下游河段的氨浓度峰值。因此，已经给出了一个原理证明，即利用河流中的测量数据在下水道系统和污水处理厂中执行控制行动是一个有前景的选择。
