Abstract
This study evaluates different treatment methods for municipal drinking water based on a multicriteria decision-making framework. Four main criteria (risk, cost, technical feasibility, and performance) were included. Fuzzy triangular membership functions were developed to capture the uncertainty of basic criteria. Uncertainty was propagated through a multistage framework, where an analytical hierarchy process was followed to assign the relative importance of different level criteria. Conventional treatment with chlorination was identified as the best option for small municipal systems while enhanced treatment with chlorination and conventional treatment with chloramination were deemed as the second and third options, respectively. The evaluation was sensitive to the relative importance of different criteria.
| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of Sustainable Technologies |
| Publisher | Elsevier |
| Pages | 115-124 |
| Number of pages | 10 |
| ISBN (Electronic) | 9780128046777 |
| ISBN (Print) | 9780128047927 |
| DOIs | |
| State | Published - 4 Jul 2017 |
Bibliographical note
Publisher Copyright:© 2017 Elsevier Inc. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 6 Clean Water and Sanitation
-
SDG 11 Sustainable Cities and Communities
Keywords
- Analytical hierarchy process
- Fuzzy membership function
- Multicriteria decision-making
- Municipal drinking water
- Relative importance
- Treatment method
- Uncertainty
ASJC Scopus subject areas
- General Environmental Science
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