La contaminación es uno de los problemas fundamentales presentes en las redes de
distribución de fluidos. Encontrar el origen de la contaminación es una cuestión de gran …

The development of water quality sensors and sensor technologies makes it feasible to
establish water quality monitoring networks in drinking water distribution systems. The …

This work presents a Bayesian model updating approach for handling contaminant source
characterization problems in the context of water distribution networks. The problem is …

Bayesian belief networks are a probabilistic analysis tool for representing and analyzing
problems involving uncertainty. The problem of monitoring the propagation of a contaminant …

This paper presents an approach for identifying contamination sources in very large
municipal water networks. The vulnerability of municipal drinking water networks to …

The complexity of a water distribution network (WDN) allows human imposition where
accidental or intentional attack is possible. These attacks sometimes result in the …

Bayesian belief networks are graphical probabilistic analysis tools for representing and
analyzing problems involving uncertainty. The problem of monitoring the propagation of a …

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 …

En este trabajo presentamos un modelo funcional para la detección y localización de fugas
en una red de aguas. Nuestro modelo utiliza la división sectorial de consumo descrita en el …

We formulate and solve an estimation problem for identifying both the time and location of
contamination sources in municipal water networks using concentration measurements from …