Booster Disinfection of Water Supply Networks: Multiobjective Approach
Booster Disinfection of Water Supply Networks: Multiobjective Approach
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DOI：
10.1061/(asce)0733-9496(2004)130:5(367
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发表时间：
2004-09
影响因子：
3.1
通讯作者：
T. Prasad;G. Walters;D. Savić
中科院分区：
文献类型：
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作者：
T. Prasad;G. Walters;D. Savić
强化消毒是在供水管网的某些关键位置添加消毒剂，使消毒剂残留量保持在高于公共卫生最低水平的水平。与仅在源头应用消毒剂的传统方法相比，加强消毒可以减少总消毒剂剂量。本文研究了给水管网中增压设施的选址和注水调度问题。该问题被制定为一个多目标优化模型。目标是在规定的残留限度内最小化总消毒剂剂量和最大化体积需求。采用多目标遗传算法求解该问题。该模型利用水质模型中的线性叠加理论计算网络节点处的浓度剖面。与以前的模型不同，本多目标方法不需要修剪监测节点，以找到可行的解决方案，所有的需求节点被认为是监测节点。应用模型的一个例子的问题表明，有一个临界点的约束满意度的水平，之后的消毒剂剂量率显着增加，以满足一些剩余的约束。
Booster disinfection is the addition of disinfectant at some critical locations of a water distribution network such that disinfectant residuals are maintained at a level greater than the minimum for public health. Compared to conventional methods that apply disinfectant only at the source, booster disinfection can reduce the total disinfectant dose. The present work investigates the booster facility location and injection scheduling problem in water distribution networks. The problem is formulated as a multiobjective optimization model. The objectives are minimization of the total disinfectant dose and maximization of the volumetric demand within specified residual limits. Multiobjective genetic algorithms are used for solving the problem. The model utilizes the theory of linear superposition in water quality modeling for calculating concentration profiles at network nodes. Unlike previous models, the present multiobjective approach does not require pruning of monitoring nodes to find feasible solutions; all demand nodes are considered as monitoring nodes. Application of the model to an example problem reveals that there is a critical point in the level of constraint satisfaction, after which the disinfectant dosage rate increases significantly in order to satisfy a few remaining constraints.