Abstract
Previous studies on booster disinfection optimization were commonly based on 'blank networks', neglecting the impact of existing disinfection facilities, which could result in misleading solutions. To overcome this limitation, a method, which incorporates the existing disinfection facilities, is developed and demonstrated in this study. A particle backtracking algorithm, which traces the upstream pathways of the disinfection insufficiency nodes, is employed to narrow down the potential positions for booster stations. Deterministic optimization results are then efficiently yielded by the introduction of a 'coverage matrix'. The proposed method is applied to a real life water distribution system in Beijing, China. Results show the methodology effectiveness in optimizing booster disinfection placement and operation for real life water distribution systems. For the explored case study, results suggest that adding a booster disinfection station at 0.1% of the nodes of the system can satisfy chlorine residual at about 97.5% of all nodes.
Original language | English |
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Pages (from-to) | 1042-1058 |
Number of pages | 17 |
Journal | Journal of Hydroinformatics |
Volume | 15 |
Issue number | 3 |
DOIs | |
State | Published - 2013 |
Keywords
- Booster disinfection
- Deterministic approach
- Optimization
- Particle backtracking algorithm
- Water distribution systems
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Water Science and Technology
- Geotechnical Engineering and Engineering Geology
- Atmospheric Science