Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS

Yeonjoo Kim, Eun Sung Chung, Sang Mook Jun, Sang Ug Kim

Research output: Contribution to journalArticle

57 Citations (Scopus)

Abstract

This study developed a new framework that prioritized the best sites for treated wastewater (TWW) instream use using fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS), a fuzzy-based multi-criteria decision-making (MCDM) technique. We identified key criteria for TWW use based on the Driver-Pressure-State-Impact-Response (DPSIR) framework that considered technical, social, economic and environmental aspects. We also introduced triangular fuzzy numbers and conducted individual interviews to consider the uncertainty of weighting values and input data. This procedure was applied at ten sites in a South Korean urban watershed, where hydrologic modeling exercises were performed. Our simulation results for water quantity (i.e., drought flow, low flow and the days to satisfy instream flow) and water quality (i.e., BOD concentration and the days to satisfy target water quality) showed significant inter-annual variability that could be better represented with fuzzy numbers. Furthermore, the use of fuzzy TOPSIS gave different rankings of the best sites for TWW use compared to those obtained from a weighting sum method, a traditional MCDM technique. Such varied rankings with different MCDM techniques indicate the need for fuzzy-based techniques, considering various uncertainties and thus being less controversial.

Original languageEnglish
Pages (from-to)23-32
Number of pages10
JournalResources, Conservation and Recycling
Volume73
DOIs
Publication statusPublished - 2013 Feb 18

Fingerprint

decision making
watershed
wastewater
ranking
instream flow
water quality
low flow
drought
economics
modeling
simulation
Watershed
Waste water
water
Multicriteria decision-making
need
method
Ranking
Water quality
Weighting

All Science Journal Classification (ASJC) codes

  • Waste Management and Disposal
  • Economics and Econometrics

Cite this

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abstract = "This study developed a new framework that prioritized the best sites for treated wastewater (TWW) instream use using fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS), a fuzzy-based multi-criteria decision-making (MCDM) technique. We identified key criteria for TWW use based on the Driver-Pressure-State-Impact-Response (DPSIR) framework that considered technical, social, economic and environmental aspects. We also introduced triangular fuzzy numbers and conducted individual interviews to consider the uncertainty of weighting values and input data. This procedure was applied at ten sites in a South Korean urban watershed, where hydrologic modeling exercises were performed. Our simulation results for water quantity (i.e., drought flow, low flow and the days to satisfy instream flow) and water quality (i.e., BOD concentration and the days to satisfy target water quality) showed significant inter-annual variability that could be better represented with fuzzy numbers. Furthermore, the use of fuzzy TOPSIS gave different rankings of the best sites for TWW use compared to those obtained from a weighting sum method, a traditional MCDM technique. Such varied rankings with different MCDM techniques indicate the need for fuzzy-based techniques, considering various uncertainties and thus being less controversial.",
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Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS. / Kim, Yeonjoo; Chung, Eun Sung; Jun, Sang Mook; Kim, Sang Ug.

In: Resources, Conservation and Recycling, Vol. 73, 18.02.2013, p. 23-32.

Research output: Contribution to journalArticle

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