Towards a decentralized solution for sewer leakage detection – a review
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
Abstract
Sewer pipelines often leak due to physical, operational, and environmental deterioration factors. Due to the hidden infrastructure of the sewer systems, leakage detection is often costly, challenging, and crucial at the city scale. Various sewer inspection methods (SIMs) have been developed and implemented at this time. This study evaluates the existing SIMs and categorizes them based on their area of impact (AoI) into three classes. Tier-one (T-I) methods, such as deterioration models and hotspot mapping, tend to grasp a broader and reliable understanding of the sewer systems’ structural health and pinpoint the network sections that are more prone to leakage. As an intermediate solution, Tier-two (T-II) non-destructive methods, such as aerial thermal imagery (ATI) and electrical resistivity tomography (ERT), inspect the potential pipe clusters regardless of their material and visualize the leaked plume generated from defects and cracks. Tier-three (T-III) methods include in-pipe SIMs, such as visual and multi-sensory inspections, that can provide an in-depth understanding of the pipe and its deterioration stage. In this study, we suggest that a sustainable sewer inspection plan should include at least two SIMs belonging to different tiers to provide a dual investigation of precision and AoI, a balance between cost and time as well as an equilibrium between self-sufficiency and decentralization.
Details
Original language | English |
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Pages (from-to) | 1034-1054 |
Number of pages | 21 |
Journal | Water Science and Technology |
Volume | 86 |
Issue number | 5 |
Publication status | Published - 1 Sept 2022 |
Peer-reviewed | Yes |
External IDs
PubMed | 36358044 |
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Keywords
ASJC Scopus subject areas
Keywords
- area of impact, sewer ex-infiltration, sewer inspection method, sewer leak detection, sewer pipes