عنوان مقاله [English]
Whilst booster chlorination stations are suggested to resolve the drawback of chlorination at water resources, determination of exact amount of injection is still a problem with respect to formation of THM as disinfection by-product (DBP) of chlorination. In this paper, a multi-objective genetic algorithm is used to optimize both the location of chlorination stations and their schedule
with respect to residual chlorine and formed THM which is indirectly estimated by a linear relation based on the amount of chlorine consumed. The objectives are to minimize the total amount of consumed disinfectant and to maximize percent of safety drinking water (SDW) assuming a specific number of disinfectant stations. The results show the increase in the number of stations
would lead to both a decrease in DBP and maintenance of residual chlorine in standard limits in many parts of the network. Particularly, distant points with a very long resident time often suffer both residual chlorine less than standard limit and DBP with high concentrations. A maximum amount in which no risk of cancer would occur due to DBP is then determined for each specific
number of chlorination stations.