Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems

Infiltration and inflow (I/I) to wastewater systems cause e.g., flooding, pollution, and the unnecessary use of the limited resources in society. Due to climate change and an increased need for the renewal of piping systems, making the right decisions on how to handle I/I is more important than ever. This paper presents a novel framework for risk-based decision support on I/I based on established theories on risk assessment and decision-making. The framework is presented on a general level and suggests that uncertainties are included in the decision-making process, together with criteria representing the economic, social, and environmental dimensions of sustainability. Published models on I/I and decision support are evaluated based on criteria from the framework showing that (1) the models rarely include risk-based decision-making or uncertainties in the analyses and that (2) most models only include project-internal financial aspects, excluding social and environmental, as well as project-external aspects, of I/I and I/I measures. A need for further research to develop a more holistic decision support model for I/I is identified, and it is concluded that the application of the proposed framework can contribute to more sustainable decisions on how to handle I/I and provide transparency to the process.

[1]  Clive L. Spash,et al.  Ethics and environmental attitudes with implications for economic valuation , 1997 .

[2]  P Staufer,et al.  Assessing the performance of sewer rehabilitation on the reduction of infiltration and inflow. , 2012, Water research.

[3]  Carl T. Haas,et al.  Financially sustainable management strategies for urban wastewater collection infrastructure – Implementation of a system dynamics model , 2014 .

[4]  S. Demonsabert,et al.  A Benders decomposition model for sewer rehabilitation planning for infiltration and inflow planning , 1997 .

[5]  J. T. Bjerkholt,et al.  Analysing consequences of infiltration and inflow water (I/I-water) using cost-benefit analyses. , 2020, Water science and technology : a journal of the International Association on Water Pollution Research.

[6]  Ian N. Durbach,et al.  Modeling uncertainty in multi-criteria decision analysis , 2012, Eur. J. Oper. Res..

[7]  S Burn,et al.  Impact of water management practice scenarios on wastewater flow and contaminant concentration. , 2015, Journal of environmental management.

[8]  Damir Brdjanovic,et al.  Evolutionary and Holistic Assessment of Green-Grey Infrastructure for CSO Reduction , 2016 .

[9]  A. Smajdor,et al.  Consequentialism , 2021, Oxford Handbook of Medical Ethics and Law.

[10]  John C. Matthews,et al.  Analysis of risk management methods used in trenchless renewal decision making , 2018 .

[11]  Anthony O’Hagan,et al.  Expert Knowledge Elicitation: Subjective but Scientific , 2019, The American Statistician.

[12]  S. Kaplan,et al.  On The Quantitative Definition of Risk , 1981 .

[13]  Richard B. Howarth,et al.  Sustainability under Uncertainty: A Deontological Approach , 1995 .

[14]  Joong Hoon Kim,et al.  Development of a Decision Making Support System for Efficient Rehabilitation of Sewer Systems , 2009 .

[15]  Joana Santos,et al.  An effective and comprehensive model for optimal rehabilitation of separate sanitary sewer systems. , 2018, The Science of the total environment.

[16]  David Butler,et al.  Strategic planning of the integrated urban wastewater system using adaptation pathways. , 2020, Water research.

[17]  Session,et al.  Resolution Adopted By The General Assembly , 1984, International Legal Materials.

[18]  Terje Aven,et al.  On how to define, understand and describe risk , 2010, Reliab. Eng. Syst. Saf..

[19]  Sveinung Sægrov,et al.  Sustainability assessment in strategic management of wastewater transport system: a case study in Trondheim, Norway , 2018 .

[20]  R. Ugarelli,et al.  Infiltration/Inflow Assessment and Detection in Urban Sewer System , 2015 .

[21]  Karin Jönsson,et al.  Paradigm shift in engineering of pluvial floods: From historical recurrence intervals to risk-based design for an uncertain future , 2020 .

[22]  Guangtao Fu,et al.  An Integrated Environmental Assessment of Green and Gray Infrastructure Strategies for Robust Decision Making. , 2015, Environmental science & technology.

[23]  Brajesh Dubey,et al.  A risk-based approach to sanitary sewer pipe asset management. , 2015, The Science of the total environment.

[24]  Hans Korving,et al.  Risk-based design of sewer system rehabilitation , 2009 .