New prediction models will help prevent wastewater infrastructure failures
Professor Ossama (Sam) Salem, Yabroudi Chair of Sustainable Civil Infrastructures and Professor of Construction Engineering and Management at L.C. Smith, and his Ph.D. student Baris Salman, developed various statistical prediction models using data obtained from the Metropolitan Sewer District of Greater Cincinnati, Ohio, to generate deterioration models that will help in the decision-making process regarding future
“The models presented in this paper allow utility and wastewater management companies to develop a sound maintenance plan and predict potential failures,” Professor Salem said. “This has impact not only economically, but socially and environmentally as well.”
As wastewater utilities seek to implement asset management strategies to help justify and optimize their expenditures, understanding the current and future behavior of wastewater lines may help utilities mitigate costly emergency repairs. The deterioration models developed by Salem and Salman are expected to assist utility officials in assessing risk and identifying pipes that have the highest probability and consequences of failure. Doing so will allow utilities to proactively prevent problems rather than simply reacting to fix problems after they occur.
While the presented models are useful for the data set provided, their applicability to different sewer systems depends on the characteristics of those particular networks. Since weather conditions, soil properties and construction methods vary among cities and among infrastructure systems, different deterioration patterns may be observed in different regions. The published article is entitled “Modeling Failure of Wastewater Collection Lines Using Various Section-Level Regression Models” and its abstract can be found online at
For more information on other work by Professor Salem and his research group, visit http://www.lcs.syr.edu/facultyandstaff/faculty.aspx?id=2145.
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