Data-driven modeling of municipal water system responses to hydroclimate extremes

Data-driven modeling of municipal water system responses to hydroclimate extremes

Sustainable western US municipal water system (MWS) management depends on quantifying the impacts of supply and demand dynamics on system infrastructure reliability and vulnerability. Systems modeling can replicate the interactions but extensive parameterization, high complexity, and long developmen...

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Bibliographic Details
Main Authors: Ryan Johnson, Steven John Burian, Carlos Anthony Oroza, James Halgren, Trevor Irons, Danyal Aziz, Daniyal Hassan, Jiada Li, Carly Hansen, Tracie Kirkham, Jesse Stewart, Laura Briefer
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:Journal of Hydroinformatics
Subjects:
data-driven modeling
machine learning
municipal water system
water system climate vulnerability
xgboost
Online Access:http://jhydro.iwaponline.com/content/25/5/1584

Internet

http://jhydro.iwaponline.com/content/25/5/1584

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