Prioritising sewerage maintenance using inferred sewer age: a case study for Edinburgh.
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.
Arthur
S
S
Sustainable Water Management Research Group, School of the Built Environment, Heriot-Watt University, Edinburgh EH14 4AS, Scotland, UK. s.arthur@hw.ac.uk
Burkhard
R
R
D016208:Databases, Factual; D004323:Drainage, Sanitary / Q000379:methods*; D004784:Environmental Monitoring / Q000379:methods*; D012606:Scotland; D012722:Sewage; D013997:Time Factors; D014867:Water / Q000737:chemistry*
D012722:Sewage; D014867:Water