Abstract
An all pipes network model with stochastic drinking water demand patterns (bottom-up) was used to study the difference in residual chlorine predictions compared to a transport model with one demand pattern (top-down). The results showed that the demand model had a small effect in combination with bulk decay at constant temperature. The top-down model results in higher chlorine predictions, but not at all locations and not consistently throughout the day. Including wall decay is important but only at certain locations. The bottom-up approach can help clarify the residence time at the worst locations.
Original language | English |
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Pages (from-to) | 172-180 |
Number of pages | 9 |
Journal | Procedia Engineering |
Volume | 70 |
DOIs | |
Publication status | Published - 23 Apr 2014 |
Event | 12th International Conference on Computing and Control for the Water Industry, CCWI 2013 - Perugia, Italy Duration: 2 Sept 2013 → 4 Sept 2013 |
Keywords
- Chlorine residual
- Drinking water demand modelling
- Stochastic modelling