2020
DOI: 10.1016/j.jclepro.2019.118929
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Case study on sustainability of textile wastewater treatment plant based on lifecycle assessment approach

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Cited by 40 publications
(6 citation statements)
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“…Previous studies have estimated the environmental impacts generated by one or combined units of treatment plants for textile wastewater. Nakhate et al evaluated the environmental footprints of a textile wastewater treatment plant and found out that consumption of electricity dominated in most of the environmental burden [23]. Cetinkaya and Bilgili compared, in another study, the environmental impacts caused by two desalination systems, and they found that using LCA could assess the environmentally friendlier treatment system for textile wastewater [24].…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies have estimated the environmental impacts generated by one or combined units of treatment plants for textile wastewater. Nakhate et al evaluated the environmental footprints of a textile wastewater treatment plant and found out that consumption of electricity dominated in most of the environmental burden [23]. Cetinkaya and Bilgili compared, in another study, the environmental impacts caused by two desalination systems, and they found that using LCA could assess the environmentally friendlier treatment system for textile wastewater [24].…”
Section: Introductionmentioning
confidence: 99%
“…It can be deduced that only 0.081 (COD removal), 0.109 (color removal), 0.048 (turbidity removal), and 0.011 (OC) in the response variable were not explained by the models in the EC process; however, 0.16 (COD removal), 0.154 (color removal), 0.107 (turbidity removal), and 0.001 (OC) in the response variable were not explained by the models of the CC process. The R adj 2 were also high and equal to 0.914, 0.815, 0.914, and 0.980 for the EC process and 0.753, 0.781, 0.813, and 0.99 for the CC process on COD, color, and turbidity removal and OC, for the color removal and turbidity models, and A and B for the OC model. Table 9 gives a statistical summary of the quadratic order polynomial regression models for EC and CC.…”
Section: Resultsmentioning
confidence: 93%
“…Textile industrial processing needs a massive supply of clean water estimated to be ∼200–250 L of water per kg of cotton cloth. 2 Thus, the textile industry has been the epicenter of important pollutant sources, mainly coming from sizing, scouring, bleaching, mercerizing, dyeing, printing, and finishing processes. 3 The major contaminant in the textile effluents is the coloring material in addition to dissolved organic and inorganic matter such as salts, toxic substances such as heavy metals, and so on.…”
Section: Introductionmentioning
confidence: 99%
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“…Due to limited information available on TEMPO's environmental impact, it was not included in the inventory. Furthermore, NaBr is not listed in any of the OpenLCA databases, and NaCl was substituted for it to estimate impacts due to their similar production processes and environmental impacts [23]. We also estimated a value from experience for some process data such as the volume of wastewater produced during the washing process.…”
Section: Goal and Scope Definitionmentioning
confidence: 99%