Prioritising sewerage maintenance using inferred sewer age: A case study for Edinburgh

S. Arthur, R. Burkhard

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    The reported research project focuses on using a database which contains details of customer contacts and CCTV data for a key Scottish catchment to construct a GIS based sewer condition model. Given the nature of the asset registry, a key research challenge was estimating the age of individual lengths of pipe. Within this context, asset age was inferred using the estimated age of surface developments - this involved overlaying the network in a GIS with historical digital maps. The paper illustrates that inferred asset age can reliably be used to highlight assets which are more likely to fail.

    Original languageEnglish
    Pages (from-to)2417-2424
    Number of pages8
    JournalWater Science and Technology
    Volume61
    Issue number9
    DOIs
    Publication statusPublished - 2010

    Keywords

    • Asset management
    • Blockage
    • Collapse
    • Flooding
    • GIS
    • Sewer condition
    • Sewer failure

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