2002
DOI: 10.1016/s1462-0758(02)00014-6
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Indicators for the sustainability assessment of wastewater treatment systems

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Cited by 362 publications
(238 citation statements)
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“…Balkema et al [29] attempted to measure the environmental sustainability of a water treatment process by calculating its exergy efficiency, but as with the earlier study by Hellström, the inability of exergy to account for toxicity was its major weakness in this context [30]. Other researchers such as Ao et al [31] and Gaudreau et al [32] also arrived at similar conclusions concerning this weakness of the exergy concept for modelling water flows.…”
Section: Exergy Modelling Of Water Flowsmentioning
confidence: 95%
“…Balkema et al [29] attempted to measure the environmental sustainability of a water treatment process by calculating its exergy efficiency, but as with the earlier study by Hellström, the inability of exergy to account for toxicity was its major weakness in this context [30]. Other researchers such as Ao et al [31] and Gaudreau et al [32] also arrived at similar conclusions concerning this weakness of the exergy concept for modelling water flows.…”
Section: Exergy Modelling Of Water Flowsmentioning
confidence: 95%
“…energy saving, cost analysis, environmental impact) are possible to quantify, others are immeasurable. Many of indicators are listed in literature but sometimes self-defining of them is more effective than achieving a sustainability in region [1,5].…”
Section: Indicators Of Sustainabilitymentioning
confidence: 99%
“…Several concepts have been used to describe sustainability but a common principle is that sustainability should be seen in terms of the integration of three dimensions: environmental, economic and social [3][4][5][6]. Economic sustainability implies the incurrence of costs that should not exceed the benefits.…”
Section: Introductionmentioning
confidence: 99%
“…Randomness refers to the various connections between an indicator and external factors, and fuzziness refers to uncertainty in defining the exact boundary value of an indicator. Randomness and fuzziness occur simultaneously in the process of indicator quantification and grading, leading to a lack of accuracy in the assessment results [18,19]. Hence, the selection of indicators should be based not only on water resource, societal, economic, and environmental dimensions but also on a strategy-oriented principle.…”
Section: Introductionmentioning
confidence: 99%