Given a set of contaminant concentration observations at sensors in a water distribution
network, an inverse problem can be constructed to identify the contaminant source …

The distribution network is the most exposed part of water supply systems due to the large
number and geographical dispersion of derivation nodes and access points. Therefore, a …

For sudden water pollution incidents in rivers and lakes, the ability to quickly identify the
pollution source is of great importance for providing early accident warning and …

To overcome the shortcomings of the traditional methods of water quality evaluation, in this
paper, a novel model combines particle swarm optimization (PSO), chaos theory, self …

Water pollution incidents have occurred frequently in recent years, causing severe
damages, economic loss and long-lasting society impact. A viable solution is to install water …

Recently a new simulation-based optimization benchmark of groundwater contaminant
source localization problems has been introduced to the hydrogeological science …

Water quality prediction is of great significance to the policies of water quality control which
are made by the government. In this paper, the prediction problem of Hanjiang water quality …

To improve the prediction accuracy of ammonia nitrogen in water monitoring networks, the
combination of a bio-inspired algorithm and back propagation neural network (BPNN) has …

Recent attacks on the national water infrastructure have led to growing need for improved
management and control of municipal water networks. Water distributions systems are …