Performance evaluation of textile wastewater treatment techniques using sustainability index: An integrated fuzzy approach of assessment

Agarwal, Somya; Singh, Ajit Pratap

doi:10.1016/j.jclepro.2022.130384

Cited by 48 publications

(18 citation statements)

References 50 publications

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“…1.3 Gross Nutrient balance per hectare of utilized agricultural area (UAA): presents a measure of water status. "The indicator provides an indication of the potential surplus of nitrogen (N) on agricultural land (kg N per ha per year)" (Eurostat, 2021). Some studies such as Jelić and Šimurina (2020), and Staes et al (2018) have used it to measure water pollution.…”

Section: Indicators and Datamentioning

confidence: 99%

“…2.2 Estimated soil loss by water erosion: includes soil loss due to water erosion and areas affected by severe erosion. The indicator estimates soil loss due to water erosion processes (sheetwash, rain splash, and rills) for agricultural areas and natural grasslands (Eurostat, 2021). 2.3 Freshwater Key Biodiversity Areas: includes protected areas and key biodiversity areas (KBAs).…”

Section: Indicators and Datamentioning

confidence: 99%

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A fuzzy-DEA water sustainability index: an application in European Union water risk hotspots

Castro-Pardo

Martín

Martínez

et al. 2023

Environ Dev Sustain

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The current global freshwater crisis threatens the present and future supply of water as a resource for humans. The scarcity of drinking water and the dependence of the food industry on water-intensive supply chains require the urgent development of strategies to analyze and guarantee the water sustainability of countries. This study proposes a fuzzy-data envelopment analysis composite index that measures, from a benchmarking approach, water sustainability by simultaneously considering capacity and resilience, and captures the uncertainty associated with time series variations in three scenarios: pessimistic, indifferent and optimistic. We present and apply an index based on five indicators of capacity and five indicators of resilience in ten European Union countries water risk hotspots. The results in terms of capacity presented a higher variability due to the strong growth in the exploitation of water resources in Greece, Spain, France, Italy and Portugal. The most sustainable countries in terms of capacity were Bulgaria and Estonia in a pessimistic and an indifferent scenario and France and Bulgaria in an optimistic scenario. In terms of resilience, Belgium and Portugal were the most sustainable countries. When considering capacity and resilience together, some countries such as Bulgaria and Estonia lost positions in the ranking, with Belgium occupying the first position. Some countries, such as Bulgaria, could see the sustainability of their water resources compromised in a scenario of economic development if they do not improve their governance and water productivity constraints.

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Section: Indicators and Datamentioning

confidence: 99%

Section: Indicators and Datamentioning

confidence: 99%

A fuzzy-DEA water sustainability index: an application in European Union water risk hotspots

Castro-Pardo

Martín

Martínez

et al. 2023

Environ Dev Sustain

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“…Adar et al 12 discovered numerous incompatible criteria for the industrial wastewater management process in 2022 using AHP. Using a fuzzy AHP technique, the effectiveness of textile wastewater treatment technologies is evaluated 13 . By utilizing the AHP method in 2022, Chaisar and Garg 14 intend to assist decision‐makers in selecting the optimum sewage treatment system.…”

Section: Introductionmentioning

confidence: 99%

“…Using a fuzzy AHP technique, the effectiveness of textile wastewater treatment technologies is evaluated. 13 By utilizing the AHP method in 2022, Chaisar and Garg 14 intend to assist decisionmakers in selecting the optimum sewage treatment system.…”

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confidence: 99%

An integrated trapezoidal fuzzy FUCOM‐TOPSIS method to determine alternatives' ranking and utilization in the water treatment plant

Majumder

2023

Env Prog and Sustain Energy

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World leaders continue to place a high premium on organizing sustainable and clean water sources. Due to the importance of water to both public health and industry, there is a significant demand for adequate quality water supplies, which many countries throughout the world are under pressure to offer. Water scarcity and poor water quality continue to be significant problems in both the home and industrial sectors, particularly in India. Therefore, it is crucial to assess the current water treatment plant's (WTP's) performance efficiency. There are numerous ways to assess the performance of WTPs. These methods, meanwhile, are absolute because they treat each parameter equally, which only partially mirrors reality. This study provides a hybrid decision-making method that combines trapezoidal fuzzy FUCOM (TrF-FUCOM) and trapezoidal fuzzy TOPSIS (TrF-TOPSIS) to find the best option for enhancing a WTP's efficacy. TrF-FUCOM is used to assess the weights of the criteria, as well as TrF-TOPSIS is employed to rank the indicators. According to the results, improving the quality of incoming water is the most important parameter for improving the efficiency of WTPs. The outcomes of the suggested technique are contrasted with those of the already used technique. In addition, scenario analysis and sensitivity analysis are used to validate the suggested model.

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“…According to Luthra et al (2020), organizations should measure their progress towards sustainable performance, but beyond the focus on operational and economic performance (Verrier et al, 2016;Ali et al, 2022). There are different methods and techniques for different stages of CE (FAHP, Fuzzy), but there are still few studies dedicated to implementing, measuring, and evaluating effective CE practices in an integrated way (Agrawal and Singh, 2022).…”

mentioning

confidence: 99%

Assessing circular economy in Brazilian industries through the analytical hierarchy process

Gomes

Carstens

Vilas-Boas

et al. 2022

Rev. Bras. Ciênc. Ambient.

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Sustainable development has been pursued by organizations around the world ever since environmental and social issues were introduced into institutional agendas. In the various sectors of the economy, the factors that influence sustainable decisions are multidisciplinary and systemic, and address the concept of Circular Economy (CE). This study aimed to develop a method to measure the level of commitment of companies and sectors to CE. The method allows investigating institutional factors associated with sustainable development and assessing the depth of CE practices. A circularity index is originated that can assist decision makers in the development of specific strategies, investment plans, and policies to guide organizations towards the achievement of a CE. The proposed method was then applied to 75 Brazilian companies recognized for their sustainability initiatives, analyzing practices associated with CE actions, as well as their depth. The results, using the Analytic Hierarchical Process (AHP), indicate that the sectors analyzed do not have a significant difference among them and that the majority of the companies analyzed (80%) do not practice any circular action despite claiming the opposite. Therefore, CE is still incipient in Brazil. The application of the proposed method to a large sample showed its potential for global use, and that it can also be employed to guide actions of single companies or entire sectors towards sustainable development using a CE path.

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Performance evaluation of textile wastewater treatment techniques using sustainability index: An integrated fuzzy approach of assessment

Cited by 48 publications

References 50 publications

A fuzzy-DEA water sustainability index: an application in European Union water risk hotspots

A fuzzy-DEA water sustainability index: an application in European Union water risk hotspots

An integrated trapezoidal fuzzy FUCOM‐TOPSIS method to determine alternatives' ranking and utilization in the water treatment plant

Assessing circular economy in Brazilian industries through the analytical hierarchy process

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