Value of Information Analysis for Improved Decisions on Infiltration and Inflow to Wastewater Systems
Publicerad
Författare
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Infiltration and inflow (I/I) of excess water into wastewater systems pose significant
technical, economic, and environmental challenges. This Master’s thesis explores the
application of value of information (VoI) analysis as a decision-support tool to improve
I/I-water management in private and separate sewer systems in Gothenburg. By com bining cost-benefit analysis with probabilistic modeling and Bayesian updating, a VoI
framework is developed to quantify the economic value of acquiring additional infor mation. This is achieved by comparing optimal decisions before and after considering
potential new data, to determine whether methods such as smoke and dye testing are
economically justified. Using data from the Department of Sustainable Waste and Wa ter at the City of Gothenburg (Kretslopp och vatten), the model assesses the viability of
three decision alternatives: intervention, no intervention, or further investigation. The
results show that interventions are recommended in 67% of analyzed subareas, while
further investigation is justified in 20%. Sensitivity analysis highlights the influence
of several parameters, such as costs for measures and film inspections, detection accu racy, and especially property owner compliance, which plays a decisive role in cost effectiveness. While the model is applied to Gothenburg, its structure is generalizable
and adaptable to other municipalities facing similar challenges. The thesis demonstrates
that VoI analysis can enhance municipal decision-making by supporting more targeted,
risk-aware, and cost-effective I/I-water management, ultimately contributing to more
resilient and sustainable wastewater infrastructure systems.
Beskrivning
Ämne/nyckelord
Infiltration and inflow, Dye testing, Smoke testing, Sensitivity analysis, Uncertainty analysis, Decision support, Cost-benefit analysis, Value of Information analysis, Wastewater systems