作者: Hamed Zamenian , Fred L. Mannering , Dulcy M. Abraham , Tom Iseley
DOI: 10.1061/(ASCE)IS.1943-555X.0000336
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摘要: AbstractWater main breaks can have significant adverse social, economic, and environmental impacts. As a result, water utilities seek to be proactive implement asset management programs reduce the frequency of mitigate their A key success these is ability quantify effect that variety factors may on likelihood breaks, hence identify those pipes need inspected frequently. Using water-main break data for 21-year period from two U.S. cities in Great Lakes region, this paper demonstrates methodology estimate system-wide monthly as function number explanatory variables. random-parameters negative-binomial approach, statistical estimations show pipe diameters, average age, distribution material, time year, mean temperature all impact bre...