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arXiv · 1712.00486

Contamination source inference in water distribution networks

Alfredo Braunstein·Alejandro Lage-Castellanos·Ernesto Ortega
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Abstract

We study the inference of the origin and the pattern of contamination in water distribution networks. We assume a simplified model for the dyanmics of the contamination spread inside a water distribution network, and assume that at some random location a sensor detects the presence of contaminants. We transform the source location problem into an optimization problem by considering discrete times and a binary contaminated/not contaminated state for the nodes of the network. The resulting problem is solved by Mixed Integer Linear Programming. We test our results on random networks as well as in the Modena city network.

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Alfredo Braunstein, Alejandro Lage-Castellanos, Ernesto Ortega. 2017-12-01. Contamination source inference in water distribution networks. https://arxiv.org/abs/1712.00486

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