Research on contaminant sources identification of uncertainty water demand using genetic algorithm

Y Xuesong, S Jie, H Chengyu - Cluster Computing, 2017 - Springer
Urban water supply network is easily affected by intentional or occasional chemical and
biological pollution, which threatens the health of consumers. In recent years, drinking water …

Contaminant source identification of water distribution networks using cultural algorithm

X Yan, W Gong, Q Wu - Concurrency and Computation …, 2017 - Wiley Online Library
In recent years, the drinking water pollution incident occurred frequently, a serious threat to
social stability and security. By using the sensor networks real‐time monitoring the urban …

Illicit intrusion characterization in sewer systems

BK Banik, C Di Cristo, A Leopardi… - Urban water …, 2017 - Taylor & Francis
A very important aspect in sewer systems management is represented by the detection of
illicit intrusions, which recently supported the development of online sensors for wastewater …

[PDF][PDF] Contamination source characterization in water distribution network

MAI Khan, BK Banik - Glob. Sci. Technol. J, 2017 - academia.edu
Contamination source identification in water distribution network has got serious attention
during last two decades, especially in developed countries. The same effort is almost absent …

Contamination source inference in water distribution networks

A Braunstein, A Lage-Castellanos, E Ortega - arXiv preprint arXiv …, 2017 - arxiv.org
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 …