AWWA IMTECH64737

This slide presentation outlines a case study at the Dallas Water Utilities on developing a geographic information system (GIS) data set for pipeline prioritization and replacement. The purpose of this project was to: demonstrate the importance of cleaning up data for analysis; identify knowledgeable assumptions to fill in gaps in available data (within reason); and, to recognize that value can be created for clients by better utilizing existing resources. GIS techniques were used to: QC existing pipeline inventory data; develop and analyze main break data trends; and, develop and analyze pipeline prioritization data. Data clean-up involved: pipe material; pipe age; and, correlation between field book and installation year. Main break analysis involved: data preparation; rules and levels of confidence; and, geocoding QA/QC. Three categories were developed to prioritize pipe repair, replacement, or inspection that included: Physical - analysis of physical characteristics of the pipes and the environmental factors that can affect their physical condition; Functional - identify current and historic performance of the main; and, Impact - identify critical areas that require continual water service. Results and lessons learned are outlined. Includes tables.