Multi-criteria decision-making model for wastewater reuse application: a case study from Iran

Hadipour, Abouzar; Rajaee, Taher; Hadipour, Vahid; Seidirad, Sara

doi:10.1080/19443994.2015.1060905

Cited by 46 publications

(17 citation statements)

References 20 publications

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“…Karamouz, Rasoulnia, Zahmatkesh, Olyaei and Baghvand (2016) proposed a framework to evaluate the resiliency of Wastewater treatment plans in coastal areas of New York City. A MCDM model based on AHP was implemented to find the best alternative for solving wastewater in Iran (A. Hadipour, Rajaee, V. Hadipour, & Seidirad, 2016). This method can be applied to decision making for other sectors at any industry level from individual plans to national plans.…”

Section: Introductionmentioning

confidence: 99%

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

Zhou

Dou

Zhang

et al. 2018

Journal of Environmental Engineering and Landscape Management

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As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model.

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Section: Introductionmentioning

confidence: 99%

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

Zhou

Dou

Zhang

et al. 2018

Journal of Environmental Engineering and Landscape Management

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“…Under the experimental conditions investigated, all plots irrigated with unconventional waters showed slightly higher soil pH but not greater soil salinity (EC e ). Although high concentration of PO 4 3in unconventional treated wastewater, an increase of available phosphorus was observed only in the soil irrigated with LW and SW.…”

Section: Discussionmentioning

confidence: 88%

“…In agriculture, management and use of TMW for irrigation require both qualitative and quantitative analysis involving several environmental, agronomic and health-related issues, to ensure the safety and sustainability of water reuse enterprise [4]. Although extensive investigations have been carried out on several aspects of wastewater reuse in agriculture [5][6][7][8], many problems related to yield and quality of plant production as well as the effects on plant nutrition have not been studied adequately [9].…”

Section: Introductionmentioning

confidence: 99%

Nutrient uptake and fruit quality in a nectarine orchard irrigated with treated municipal wastewaters

Vivaldi¹,

Vitti²,

Rubino³

et al. 2017

DWT

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Nowadays, treated municipal wastewater is considered as an alternative water source for irrigation, crucial mainly under dry environments; however, if not well managed, it could negatively affect crops and environment. Four irrigation water sources were tested in order to evaluate their impact in a nectarine orchard: three unconventional wastewaters – including a secondary-treated municipal wastewater (SW), a wastewater made by a simplified lagoon treatment pilot plant (LW), and a tertiary-treated wastewater (TW) – and one conventional freshwater source (FW). Fruit and water chemical composition and fruit quality were evaluated also using a multivariate analysis. The effect on soil chemical fertility was also investigated. As a consequence of various water sources with different nutrient loads, soil nutrient availability, plant uptake and fruit quality were significantly affected by the water source supplied. Plots irrigated with unconventional waters (LW, TW and SW) showed positive impacts on fruit quality (e.g., soluble solids and acidity) and negative nutritional aspects. These results could be attributed to higher soil pH (with lower micronutrients availability) and high concentration of N and K in unconventional wastewater sources. The results obtained with principal component analysis suggested us that water, enriched with mineral nutrients, may affect fruit quality; in our study, a lower fruit firmness while higher h° value and total soluble solids of fruits were observed, indicating an earlier ripening. Further studies are needed in order to understand better the long-term effect of municipal wastewater on nectarine orchard

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“…The studies employed a scenario-based approach to decision making in which four technologies were evaluated and compared against various criteria. Hadipour et al (2015) employed AHP technique to identify and select the best WWT option in Iran. Molinos-Senante et al (2015) applied ANP to rank a set of seven WWT technology systems for secondary treatment in small communities.…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid life cycle assessment based fuzzy multi-criteria decision making approach for evaluation and selection of an appropriate municipal wastewater treatment technology

Kamble

Singh

Kharat

2017

Euro-Mediterr J Environ Integr

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Multiple-criteria decision-making (MCDM) has become a main area of research for dealing with complex environmental decision-making problems. In this paper, a hybrid life cycle assessment (LCA) based fuzzy MCDM methodology is developed for the evaluation and selection of appropriate municipal wastewater treatment (WTT) technology based on expert opinion and questionnaires. Further, the study also aims to identify the key evaluation criteria in the process of selecting WTT from a sustainability perspective. The use of fuzzy MCDM in wastewater management has the advantage of rendering subjective and implicit decision-making more objective and analytical, with its ability to accommodate both qualitative and quantitative data. This study provides a systematic approach towards WWT technology selection, in which four-phase procedure is proposed. First, the appropriate technology evaluation and selection criteria were derived from the literature, LCA and experts' opinion. Next, in the second stage, the fuzzy Delphi method was used to evaluate and screen the critical factors for the evaluation of technology alternatives by interviewing the experts. Twelve criteria including sustainability and those derived from LCA and life cycle costing were obtained consisting of both qualitative and quantitative criteria. In the third stage, the weights of the selection criteria as the measurable indices of the WWT technologies were determined by fuzzy pairwise comparison matrices of analytic hierarchy process. Finally, the fuzzy the technique for order of preference by similarity to ideal solution technique was used for ranking the alternatives. The six most commonly used WWT technologies, viz. sequencing batch reactors (SBR), membrane bioreactor (MBR), moving bed bio-film reactor (MBBR), soil biotechnology, facultative aerated lagoon and activated sludge process were evaluated. The present study is the first study of its kind to develop a hybrid LCA-based fuzzy MCDM methodology for the selection of best WWT alternatives. Results illustrated that advanced technologies, MBR, SBR and MBBR are the preferred options with MBR the most preferred one followed by SBR and MBBR. The developed technology assessment framework enables decision makers to understand the complete evaluation and selection process better and provide a more accurate, effective, and systematic decision support framework. The framework is superior to existing methods since it has the capability of representing vague qualitative data and presenting all possible results with different degrees of membership. The framework developed and applied in this work will help identify appropriate WWT technologies for various decision-making situations faced while managing wastewaters.

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Multi-criteria decision-making model for wastewater reuse application: a case study from Iran

Cited by 46 publications

References 20 publications

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

A Group Decision-Making Model for Wastewater Treatment Plans Selection Based on Intuitionistic Fuzzy Sets

Nutrient uptake and fruit quality in a nectarine orchard irrigated with treated municipal wastewaters

A hybrid life cycle assessment based fuzzy multi-criteria decision making approach for evaluation and selection of an appropriate municipal wastewater treatment technology

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