DOI: 10.1016/j.watres.2018.06.050
Scopus记录号: 2-s2.0-85049062103
论文题名: Optimal and objective placement of sensors in water distribution systems using information theory
作者: Khorshidi M.S. ; Nikoo M.R. ; Sadegh M.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 143 起始页码: 218
结束页码: 228
语种: 英语
英文关键词: Contamination warning system
; Sensor placement
; Transinformation entropy
; Value of information
; Water distribution system
英文摘要: Optimization-based deployment of contamination warning system in water distribution systems has been widely used in the literature, due to their superior performance compared to rule- and opinion-based approaches. However, optimization techniques impose an excessive computational burden, which in turn is compensated for by shrinking the problem's decision space and/or using faster optimization algorithms with less accuracy. This imposes subjectivity in interpretation of the system and associated risks, and undermines model's accuracy by not exploring the entire feasible space. We propose a framework that uses information theoretic techniques, including value of information and transinformation entropy, for optimal sensor placement. This can be used either as pre-selection, i.e. pinpointing best potential locations of sensors to be in turn used in optimization framework, or ultimate selection, i.e. single-handedly selecting sensor locations from the feasible space. The proposed framework is then applied to Lamerd water distribution system, in Fars province, Iran, and the results are compared to the suggested potential locations of sensors in previous studies and results of TEVA-SPOT model. The proposed information theoretic scheme enhances the decision space, provides more accurate results, significantly reduces the computational burden, and warrants objective selection of sensor placement. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112592
Appears in Collections: 气候减缓与适应
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作者单位: School of Engineering, Department of Environmental Engineering, Shiraz University, Shiraz, Iran; Department of Civil Engineering, Boise State University, Boise, United States
Recommended Citation:
Khorshidi M.S.,Nikoo M.R.,Sadegh M.. Optimal and objective placement of sensors in water distribution systems using information theory[J]. Water Research,2018-01-01,143