Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Water Res. 2014 Jul 1;58:209-20. doi: 10.1016/j.watres.2014.03.070. Epub 2014 Apr 12.
This study describes a new methodology for the disinfection booster design, placement, and operation problem in water distribution systems. Disinfectant residuals, which are in most cases chlorine residuals, are assumed to be sufficient to prevent growth of pathogenic bacteria, yet low enough to avoid taste and odor problems. Commonly, large quantities of disinfectants are released at the sources outlets for preserving minimum residual disinfectant concentrations throughout the network. Such an approach can cause taste and odor problems near the disinfectant injection locations, but more important hazardous excessive disinfectant by-product formations (DBPs) at the far network ends, of which some may be carcinogenic. To cope with these deficiencies booster chlorination stations were suggested to be placed at the distribution system itself and not just at the sources, motivating considerable research in recent years on placement, design, and operation of booster chlorination stations in water distribution systems. The model formulated and solved herein is aimed at setting the required chlorination dose of the boosters for delivering water at acceptable residual chlorine and TTHM concentrations for minimizing the overall cost of booster placement, construction, and operation under extended period hydraulic simulation conditions through utilizing a multi-species approach. The developed methodology links a genetic algorithm with EPANET-MSX, and is demonstrated through base runs and sensitivity analyses on a network example application. Two approaches are suggested for dealing with water quality initial conditions and species periodicity: (1) repetitive cyclical simulation (RCS), and (2) cyclical constrained species (CCS). RCS was found to be more robust but with longer computational time.
本研究描述了一种新的方法,用于设计、布置和操作水分配系统中的消毒增强器。消毒残留物(在大多数情况下是氯残留物)假设足以防止致病菌的生长,但又低到足以避免味道和气味问题。通常,大量的消毒剂在水源出口处释放,以在整个网络中保持最小残留消毒剂浓度。这种方法会在消毒剂注入点附近引起味道和气味问题,但更重要的是,在网络末端会形成危险的过量消毒剂副产物(DBP),其中一些可能是致癌的。为了解决这些缺陷,建议在分配系统本身而不仅仅是在水源处设置增强氯化站,这促使近年来在水分配系统中增强氯化站的布置、设计和操作方面进行了大量研究。本文提出并解决的模型旨在通过利用多物种方法,在扩展的水力模拟条件下,为增强氯化站设定所需的氯化剂量,以提供可接受的余氯和三卤甲烷(TTHM)浓度的水,从而最小化增强站的布置、建设和运营的总成本。所开发的方法将遗传算法与 EPANET-MSX 相链接,并通过对网络示例应用的基准运行和敏感性分析进行演示。提出了两种方法来处理水质初始条件和物种周期性:(1)重复循环模拟(RCS),和(2)周期性约束物种(CCS)。RCS 被发现更稳健,但计算时间更长。