2016
DOI: 10.2166/ws.2016.174
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Framework for water quality monitoring system in water distribution networks based on vulnerability and population sensitivity risks

Abstract: Delivering water in sufficient quantity and acceptable quality is the main objective of water distribution networks (WDN) and at the same time is the main challenge. Many factors affect the delivery of water through distribution networks. Some of these factors are relevant to water quality, quantity and the condition of the infrastructure itself. The deterioration of water quality in the WDN leads to failure at the water quality level, which can be critical because it is closest to the point of delivery and th… Show more

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Cited by 5 publications
(2 citation statements)
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“…Research on sensor layout is mainly focused on two aspects, namely: optimization of sensor layout for environmental monitoring [4] which includes water quality monitoring and atmospheric environment monitoring, and optimization of sensor layout for large complex structures in structural health detection and vibration control [5] . For the multi-objective optimization model in layout problems, existing solution methods of multi-objective evolutionary algorithms have the largest variety and are widely used by researchers.…”
Section: Introductionmentioning
confidence: 99%
“…Research on sensor layout is mainly focused on two aspects, namely: optimization of sensor layout for environmental monitoring [4] which includes water quality monitoring and atmospheric environment monitoring, and optimization of sensor layout for large complex structures in structural health detection and vibration control [5] . For the multi-objective optimization model in layout problems, existing solution methods of multi-objective evolutionary algorithms have the largest variety and are widely used by researchers.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, several fuzzy methods [21] have been proposed based on fuzzy concept for contaminated surface water evaluation, such as fuzzy synthetic evaluation (FSE) [22,23,24,25], fuzzy inference system (FIS) [2,26,27,28], and fuzzy similarity measure (FSM) [29], because the water quality evaluation of surface water resources is a multi-index and multi-category fuzzy concept. However, the reasoning criteria for FSE, FIS and FSM are point forms.…”
Section: Introductionmentioning
confidence: 99%