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Using High‐Risk Pipe Clusters to Guide Capital Planning
Author(s) -
Chen Thomas YingJeh,
Daly Craig Michael
Publication year - 2021
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/awwa.1669
Subject(s) - pipeline transport , cluster analysis , cluster (spacecraft) , scaling , key (lock) , risk management , capital (architecture) , computer science , risk assessment , risk analysis (engineering) , business , environmental science , finance , geography , artificial intelligence , environmental engineering , computer security , mathematics , geometry , archaeology , programming language
Key Takeaways Water utilities typically replace aggregated clusters of pipelines rather than individual pipes to minimize repeated disruption and mobilization cost. Risk assessments that report high‐risk pipes at the resolution of individual segments fall short of the clustering approach. A postprocessing method improves risk assessment efficacy by scaling risk calculations from individual pipe segments to a more meaningful and actionable cluster resolution.