5. CONCLUSIONS AND RECOMMENDATIONS
Leakage of treated water in distribution system pipelines is one of the most concerning issues water utility owners currently face in the U.S. With the pipeline infrastructure deteriorating and the funding gap widening over the past few years, the technological needs for pipeline monitoring and rehabilitation have grown. Although innovative technologies are available for leak detection in water pipelines, there is limited aggregation of performance data and selection guidance available, which hinders their effective practical usage. This study attempted to address this specific gap in the body of knowledge by aggregating available performance data on ALDTs and comparatively evaluating those for developing optimal selection preferences. Given the popularity of acoustics-based leak detection techniques (ALDTs), this paper reviewed six commercial ALDTs and made recommendations for appropriate techniques for various typical application scenarios. The techniques evaluated include listening devices, noise loggers, leak noise correlators, free-swimming acoustic, tethered acoustics, and acoustic emissions. The criteria based on which these six techniques are evaluated in this study include cost, reliability, ability to quantify leakage severity, and pipeline access requirements. The performance evaluation presented in this paper is primarily based on the published literature in the form of research articles and reports summarizing several practical demonstrations. While a traditional multi-criteria decision analysis (MCDA) approach is employed for the selection of an optimal ALDT given an application scenario, Monte-Carlo approach is used to address the uncertainty inherent to published ALDT performance data as well as the subjective interpretations made to be able to compare the performance of all ALDTs.