Probabilistic backtracing of drinking water contamination events in a stochastic world
“In this paper, we investigate the relevance of the stochastic nature of water demand for backtracing of contaminations in drinking
water distribution networks. We present an approach to deal with the uncertainty introduced by stochastic demand, which is applied
to a full detail part (all pipes) of a hydraulic model of a distribution network in the Netherlands. It is demonstrated that stochastic
water demand can introduce significant amounts of uncertainty for backtracing in some parts of tertiary (reticulation) networks in
specific, looped configurations. In other parts, the additional uncertainty introduced by stochastic water demand can be limited.”
Copyright © 2013 Elsevier B.V. All rights reserved.
(Citaat: van Thienen, P., Vries, D., et al. – Probabilistic backtracing of drinking water contamination events in a stochastic world – 12th International Conference on Computing and Control for the Water Industry, CCWI2013 – Procedia Engineering 70(2014), p.1688-1696 – Open Access)