Sewer infrastructure assessment using logit statistical models

Samuel Ariaratnam, A. El-Assaly, Y. Yang, K. Chua, P. Eng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

As the sewer infrastructure ages with time, it is imperative that sound rehabilitation strategies and alternatives be developed and implemented. The expected service life of a sewer system is variable and depends on several parameters that affect pipe condition including flow loading, wastewater quality, soil conditions, material of pipe, location, and construction methods. Traditionally, some sewer repair projects are executed on a reactionary basis. In other words, the discovery of damage in the sewer system initiates immediate action. Infrastructure projects executed on a reactionary basis more often than not result in high monetary costs due to their urgent nature. Therefore, it is important to develop a sound sewer rehabilitation strategy for proactive implementation scheduling. Currently, the City of Edmonton uses closed circuit television (CCTV) to inspect an average of 220 km/year of their local sewer infrastructure. The decision-maker is faced with the dilemma of trying to decide which portions of the network to schedule for inspection. This paper presents the analysis of the local sewer infrastructure at the City of Edmonton using Logit Statistical Models. Logit statistics are used to model the relationship between one or more dependent categorical variables and a set of independent variables in predicting the probability of a given sewer line being in a "deficient" condition based on historical data. This information can provide the decision-maker with viable alternatives for programming efficient inspection schedules.

Original languageEnglish (US)
Title of host publicationProceedings, Annual Conference - Canadian Society for Civil Engineering
EditorsT. Viraraghavan, H. O'Connor, A. Valente
Pages329-338
Number of pages10
Volume3
StatePublished - 1999
Externally publishedYes
EventCanadian Society for Civil Engineering - 1999 Annual Conference - Regina Saskatchewan, Canada
Duration: Jun 2 1999Jun 5 1999

Other

OtherCanadian Society for Civil Engineering - 1999 Annual Conference
CountryCanada
CityRegina Saskatchewan
Period6/2/996/5/99

Fingerprint

Sewers
Patient rehabilitation
Inspection
Pipe
Acoustic waves
Statistical Models
Television
Service life
Wastewater
Repair
Scheduling
Statistics
Soils
Networks (circuits)

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ariaratnam, S., El-Assaly, A., Yang, Y., Chua, K., & Eng, P. (1999). Sewer infrastructure assessment using logit statistical models. In T. Viraraghavan, H. O'Connor, & A. Valente (Eds.), Proceedings, Annual Conference - Canadian Society for Civil Engineering (Vol. 3, pp. 329-338)

Sewer infrastructure assessment using logit statistical models. / Ariaratnam, Samuel; El-Assaly, A.; Yang, Y.; Chua, K.; Eng, P.

Proceedings, Annual Conference - Canadian Society for Civil Engineering. ed. / T. Viraraghavan; H. O'Connor; A. Valente. Vol. 3 1999. p. 329-338.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ariaratnam, S, El-Assaly, A, Yang, Y, Chua, K & Eng, P 1999, Sewer infrastructure assessment using logit statistical models. in T Viraraghavan, H O'Connor & A Valente (eds), Proceedings, Annual Conference - Canadian Society for Civil Engineering. vol. 3, pp. 329-338, Canadian Society for Civil Engineering - 1999 Annual Conference, Regina Saskatchewan, Canada, 6/2/99.
Ariaratnam S, El-Assaly A, Yang Y, Chua K, Eng P. Sewer infrastructure assessment using logit statistical models. In Viraraghavan T, O'Connor H, Valente A, editors, Proceedings, Annual Conference - Canadian Society for Civil Engineering. Vol. 3. 1999. p. 329-338
Ariaratnam, Samuel ; El-Assaly, A. ; Yang, Y. ; Chua, K. ; Eng, P. / Sewer infrastructure assessment using logit statistical models. Proceedings, Annual Conference - Canadian Society for Civil Engineering. editor / T. Viraraghavan ; H. O'Connor ; A. Valente. Vol. 3 1999. pp. 329-338
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