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...

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Main Authors: Anna Ohlin Saletti, Lars Rosén, Andreas Lindhe
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Water
Subjects:
I/I
Online Access:https://www.mdpi.com/2073-4441/13/17/2320
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spelling doaj-b3ae04cfd3a04c63bc36cb509fe61dbb2021-09-09T13:59:27ZengMDPI AGWater2073-44412021-08-01132320232010.3390/w13172320Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater SystemsAnna Ohlin Saletti0Lars Rosén1Andreas Lindhe2Department of Architecture and Civil Engineering, Chalmers University of Technology, 41296 Gothenburg, SwedenDepartment of Architecture and Civil Engineering, Chalmers University of Technology, 41296 Gothenburg, SwedenDepartment of Architecture and Civil Engineering, Chalmers University of Technology, 41296 Gothenburg, SwedenInfiltration 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.https://www.mdpi.com/2073-4441/13/17/2320infiltrationinflowI/Iwastewaterdecision supportrisk assessment
collection DOAJ
language English
format Article
sources DOAJ
author Anna Ohlin Saletti
Lars Rosén
Andreas Lindhe
spellingShingle Anna Ohlin Saletti
Lars Rosén
Andreas Lindhe
Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems
Water
infiltration
inflow
I/I
wastewater
decision support
risk assessment
author_facet Anna Ohlin Saletti
Lars Rosén
Andreas Lindhe
author_sort Anna Ohlin Saletti
title Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems
title_short Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems
title_full Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems
title_fullStr Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems
title_full_unstemmed Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems
title_sort framework for risk-based decision support on infiltration and inflow to wastewater systems
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2021-08-01
description 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.
topic infiltration
inflow
I/I
wastewater
decision support
risk assessment
url https://www.mdpi.com/2073-4441/13/17/2320
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