Real-time contamination zoning in water distribution networks for contamination emergencies: a case study.
Arsenic
Contamination emergency management
EPANET
Monitoring stations
Rough set theory
Water distribution system
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
11 May 2021
11 May 2021
Historique:
received:
02
11
2020
accepted:
11
04
2021
entrez:
11
5
2021
pubmed:
12
5
2021
medline:
13
5
2021
Statut:
epublish
Résumé
Contamination of urban water distribution systems (WDS) is a critical issue due to the number of victims that might be impacted in a short period of time. Any effective rapid emergency response plan for reducing the number of sick people or deaths among those drinking the polluted water requires a reliable forecast of the water contamination zoning map (CZM). The water CZM is a visual representation of the spread of contamination at the time of contamination detection. This study presents a novel methodology based on the rough set theory (RST) for real-time forecasting of the CZM caused by simultaneous multi-point contamination injection in WDS. Our proposed methodology consists of (i) a Monte Carlo simulation model to capture the uncertainties in a multi-point deliberate contamination, (ii) a numerical simulation model for simulating pipe flow, and (iii) a rough set-based technique for real-time CZM for a WDS equipped with a set of monitoring stations. The proposed methodology can be used for any type of random contamination of WDSs as well as emergencies in deliberate contamination of water distribution networks.
Identifiants
pubmed: 33973066
doi: 10.1007/s10661-021-09068-0
pii: 10.1007/s10661-021-09068-0
doi:
Substances chimiques
Water
059QF0KO0R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
336Références
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