Risk-based prioritisation of inspections and rehabilitation of wastewater pipes
Artikel i vetenskaplig tidskrift, 2026

Reinvestments in wastewater pipe networks pose financial challenges due to high costs in combination with the complexity of rehabilitation prioritisation. Lack of pipe data and unknown pipe conditions are some factors contributing to the complexity. In Sweden, many of the wastewater pipe networks were constructed in the 1960s and 1970s and are now approaching the end of their technical life. With large investments anticipated in the coming decades, water utilities have the potential to reduce costs by identifying and prioritising high-risk wastewater pipes for rehabilitation. In this study, a risk-based decision model is presented to facilitate the strategic rehabilitation of wastewater pipe networks. The model is based on a two-tiered approach: the first tier identifies high-priority pipes for Closed-Circuit Television (CCTV) inspections, while the second tier utilises the CCTV-inspection results to estimate the probability of failure and update the risk assessment. A multi-criteria decision analysis model was utilised to prioritise wastewater pipe rehabilitation as well as CCTV-re-inspections. Hence, the model represents a novel integration of local CCTV-grades when establishing re-inspection frequencies and prioritisation of wastewater pipe rehabilitation prioritisation. Within six months, the model was implemented in the wastewater pipe network in Kungsbacka municipality, Sweden. The model enabled the development of an inspection plan and rehabilitation prioritisation, representing a significant step towards cost-effective and efficient wastewater pipe network management.

Risk-based model

Risk assessment

Asset management

Wastewater pipe network

Rehabilitation

CCTV inspections

Multi-criteria decision analysis

Författare

Rikard Lundberg

Kungsbacka Kommun

Viktor Bergion

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Frida Moberg

Kungsbacka Kommun

Annika Malm

Kungsbacka Kommun

Andreas Lindhe

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Innovative Infrastructure Solutions

2364-4176 (ISSN) 2364-4184 (eISSN)

Vol. 11 8 421

Ämneskategorier (SSIF 2025)

Annan elektroteknik och elektronik

Infrastrukturteknik

Vattenteknik

DOI

10.1007/s41062-026-02801-z

Mer information

Senast uppdaterat

2026-08-07