globalchange  > 气候减缓与适应
DOI: 10.1016/j.watres.2018.06.041
Scopus记录号: 2-s2.0-85049306982
论文题名:
An efficient multi-objective optimization method for water quality sensor placement within water distribution systems considering contamination probability variations
作者: He G.; Zhang T.; Zheng F.; Zhang Q.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 143
起始页码: 165
结束页码: 175
语种: 英语
英文关键词: Contamination intrusion ; Contamination probability function (CPF) ; Data-archive method ; Water distribution system (WDS) ; Water quality sensor placement (WQSP)
Scopus关键词: Computational efficiency ; Contamination ; Electron transitions ; Multiobjective optimization ; Population statistics ; Water distribution systems ; Water quality ; Data archives ; Optimization approach ; Potential variations ; Probability functions ; Traditional approaches ; Water distribution system (WDSs) ; Water quality securities ; Water quality sensors ; Probability distributions ; design ; optimization ; population density ; probability ; sensor ; strategic approach ; vulnerability ; water management ; water pollution ; water quality ; Article ; controlled study ; intermethod comparison ; population density ; priority journal ; probability ; process optimization ; water contamination ; water quality ; water supply
英文摘要: Water quality security within water distribution systems (WDSs) has been an important issue due to their inherent vulnerability associated with contamination intrusion. This motivates intensive studies to identify optimal water quality sensor placement (WQSP) strategies, aimed to timely/effectively detect (un)intentional intrusion events. However, these available WQSP optimization methods have consistently presumed that each WDS node has an equal contamination probability. While being simple in implementation, this assumption may do not conform to the fact that the nodal contamination probability may be significantly regionally varied owing to variations in population density and user properties. Furthermore, the low computational efficiency is another important factor that has seriously hampered the practical applications of the currently available WQSP optimization approaches. To address these two issues, this paper proposes an efficient multi-objective WQSP optimization method to explicitly account for contamination probability variations. Four different contamination probability functions (CPFs) are proposed to represent the potential variations of nodal contamination probabilities within the WDS. Two real-world WDSs are used to demonstrate the utility of the proposed method. Results show that WQSP strategies can be significantly affected by the choice of the CPF. For example, when the proposed method is applied to the large case study with the CPF accounting for user properties, the event detection probabilities of the resultant solutions are approximately 65%, while these values are around 25% for the traditional approach, and such design solutions are achieved approximately 10,000 times faster than the traditional method. This paper provides an alternative method to identify optimal WQSP solutions for the WDS, and also builds knowledge regarding the impacts of different CPFs on sensor deployments. © 2018 Elsevier Ltd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112594
Appears in Collections:气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: College of Civil Engineering and Architecture, Zhejiang University, 866 Yuhangtang Rd, Hangzhou, 310058, China

Recommended Citation:
He G.,Zhang T.,Zheng F.,et al. An efficient multi-objective optimization method for water quality sensor placement within water distribution systems considering contamination probability variations[J]. Water Research,2018-01-01,143
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[He G.]'s Articles
[Zhang T.]'s Articles
[Zheng F.]'s Articles
百度学术
Similar articles in Baidu Scholar
[He G.]'s Articles
[Zhang T.]'s Articles
[Zheng F.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[He G.]‘s Articles
[Zhang T.]‘s Articles
[Zheng F.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.