A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19

A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19

Contamination events in water distribution systems (WDSs) are highly dangerous events in very vulnerable infrastructure where a quick response by water utility managers is indispensable. Various studies have explored methods to respond to water events and a variety of models have been developed to s...

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Bibliographic Details
Main Authors: Leonid Kadinski, Camilo Salcedo, Dominic L. Boccelli, Emily Berglund, Avi Ostfeld
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Water
Subjects:
water distribution systems
agent-based modelling
COVID 19
fuzzy logic
deep learning
machine learning
Online Access:https://www.mdpi.com/2073-4441/14/7/1088

Internet

https://www.mdpi.com/2073-4441/14/7/1088

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