PMID- 35932744
OWN - NLM
STAT- MEDLINE
DCOM- 20220908
LR  - 20220908
IS  - 1095-8630 (Electronic)
IS  - 0301-4797 (Linking)
VI  - 320
DP  - 2022 Oct 15
TI  - Robust sensor placement for sustainable leakage management in water distribution 
      networks of developing economies: A hybrid decision support framework.
PG  - 115816
LID - S0301-4797(22)01389-5 [pii]
LID - 10.1016/j.jenvman.2022.115816 [doi]
AB  - Urban water distribution networks (WDNs) in developing economies often refrain 
      from investing in sensor-based leakage management technologies due to financial 
      constraints and other techno-managerial issues. Thus, this study proposes a 
      generalized decision support framework based on network sensitivity analysis 
      (NSA) and multi-criteria decision-making (MCDM) to assess the prospect of 
      effective leakage control through robust sensor placement in existing deficient 
      WDNs. Four sensitivity parameters are formulated for NSA to ascertain the 
      pressure response of the potential sensor positions for diverse hydraulic and 
      leak scenarios. Subsequently, selecting the optimal number of sensors and their 
      relative positions within the WDN is framed as an MCDM problem that entails the 
      simultaneous maximization of Euclidean distances among the potential sensor 
      positions and the leak-induced pressure residuals obtained at these sensors. The 
      proposed methodology is developed on a numerical benchmark network assuming ideal 
      conditions, and its applicability is verified on a sensor-equipped experimental 
      network considering realistic system uncertainties. The outcome of this study 
      aims to provide an insightful understanding of the system behavior that governs 
      its leak localization potential and ascertain the practical challenges of 
      sensor-based leakage monitoring in existing WDNs. Decision-makers of 
      resource-strained utilities can beneficially utilize the proposed framework to 
      assess the environmental and cost trade-offs of employing sensor-based 
      technologies for leakage management and proactive decision-making before its 
      actual implementation.
CI  - Copyright (c) 2022 Elsevier Ltd. All rights reserved.
FAU - Zaman, Dina
AU  - Zaman D
AD  - School of Water Resources, Indian Institute of Technology Kharagpur, Kharagpur, 
      721302, India.
FAU - Gupta, Ashok Kumar
AU  - Gupta AK
AD  - Department of Civil Engineering, Indian Institute of Technology Kharagpur, 
      Kharagpur, 721302, India. Electronic address: agupta@civil.iitkgp.ac.in.
FAU - Uddameri, Venkatesh
AU  - Uddameri V
AD  - Department of Civil, Environmental, and Construction Engineering, Texas Tech 
      University, Lubbock, TX 79409-1023, USA.
FAU - Tiwari, Manoj Kumar
AU  - Tiwari MK
AD  - School of Water Resources, Indian Institute of Technology Kharagpur, Kharagpur, 
      721302, India.
FAU - Sen, Dhrubajyoti
AU  - Sen D
AD  - Department of Civil Engineering, Indian Institute of Technology Kharagpur, 
      Kharagpur, 721302, India.
LA  - eng
PT  - Journal Article
DEP - 20220803
PL  - England
TA  - J Environ Manage
JT  - Journal of environmental management
JID - 0401664
RN  - 059QF0KO0R (Water)
SB  - IM
MH  - Uncertainty
MH  - *Water
MH  - *Water Supply
OTO - NOTNLM
OT  - Leak localization
OT  - Multi-criteria decision-making
OT  - Pressure transmitters
OT  - Sensitivity analysis
OT  - Sensor optimization
OT  - Water supply system
EDAT- 2022/08/07 06:00
MHDA- 2022/09/09 06:00
CRDT- 2022/08/06 18:31
PHST- 2022/01/24 00:00 [received]
PHST- 2022/04/29 00:00 [revised]
PHST- 2022/07/18 00:00 [accepted]
PHST- 2022/08/07 06:00 [pubmed]
PHST- 2022/09/09 06:00 [medline]
PHST- 2022/08/06 18:31 [entrez]
AID - S0301-4797(22)01389-5 [pii]
AID - 10.1016/j.jenvman.2022.115816 [doi]
PST - ppublish
SO  - J Environ Manage. 2022 Oct 15;320:115816. doi: 10.1016/j.jenvman.2022.115816. 
      Epub 2022 Aug 3.