Bayesian Update Method for Contaminant Source Characterization in Water Distribution Systems

2013 ◽  
Vol 139 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Hui Wang ◽  
Kenneth W. Harrison
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Source Characterization ◽  
Contaminant Source ◽  
Bayesian Update

scholarly journals Contaminant source characterization in water distribution systems using binary signals

2012 ◽  
Vol 14 (3) ◽  
pp. 585-602 ◽  
Author(s):  
Jitendra Kumar ◽  
E. Downey Brill ◽  
G. Mahinthakumar ◽  
S. Ranji Ranjithan
Keyword(s):  
Distribution System ◽  
Source Identification ◽  
Distribution Systems ◽  
Water Distribution ◽  
Data Availability ◽  
Source Characterization ◽  
Contaminant Source ◽  
Quality Signals ◽  
Wide Range ◽  
True Source

This paper presents a simulation–optimization-based method for identification of contamination source characteristics in a water distribution system using filtered data from threshold-based binary water quality signals. The effects of quality and quantity of the data on the accuracy of the source identification methodology are investigated. This study also addresses the issue of non-uniqueness in contaminant source identification under various data availability conditions. To establish the robustness and applicability of the methodology, numerous scenarios are investigated for a wide range of contamination incidents associated with two different networks. Results indicate that, even though use of lower resolution sensors lead to more non-unique solutions, the true source location is always included among these solutions.

Sign in / Sign up

Export Citation Format

Share Document