Adequacy analysis of drinking water treatment technologies in regard to the parameter turbidity, considering the quality of natural waters treated by large-scale WTPs in Brazil
| Autor: | Elizângela Pinheiro da Costa, Carolina Cristiane Pinto, Sílvia Corrêa Oliveira, Gabriela Rodrigues Barroso, Lívia Duarte Ventura Melo |
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| Rok vydání: | 2018 |
| Předmět: |
Multivariate statistics
010504 meteorology & atmospheric sciences media_common.quotation_subject Fresh Water 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Water Purification Water Quality Cluster Analysis Quality (business) Turbidity Raw water Effluent 0105 earth and related environmental sciences General Environmental Science media_common Scale (chemistry) Natural water Drinking Water Environmental engineering General Medicine Pollution Multivariate Analysis Government Regulation Hydrodynamics Environmental science Water treatment Brazil Environmental Monitoring |
| Zdroj: | Environmental monitoring and assessment. 191(6) |
| ISSN: | 1573-2959 |
| Popis: | This paper seeks to present a performance evaluation of large-scale water treatment plants and verify the adjustment of the treatment to the parameter turbidity of natural waters. Nonparametric and multivariate statistical tools were used to analyze raw water and treated water turbidity of a large on-line monitoring databank for the period from 2013 to 2015, from six large-scale treatment plants utilizing different technologies. Cluster analysis was able to differentiate adequately groups of treatment plants with similar raw and treated water quality. Considering the effluent turbidity as a marker parameter, the results indicated that selection of the technology to be applied must be well studied to always seek the best solution, and that other factors than only the raw water characteristics should be evaluated. It was also demonstrated that utilization of the same treatment technology does not always result in the same effluent quality, since there are many factors related to operation, maintenance, raw water variability, climatic interferences, and others. |
| Databáze: | OpenAIRE |
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