Descriptive and multivariate analyses of four Tunisian wastewater treatment plants: A comparison between different treatment processes and their efficiency improvement
Autor: | Sami Maalej, Youssef Samet, Mohamed Ben Makhlouf, Ines Boujelben, Mouna Messaoud |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Pollution Geologic Sediments Tunisia Environmental Engineering Multivariate analysis Nitrogen media_common.quotation_subject Wastewater 010501 environmental sciences Management Monitoring Policy and Law Waste Disposal Fluid 01 natural sciences Water Purification 03 medical and health sciences Water Quality Waste Management and Disposal Kjeldahl method 0105 earth and related environmental sciences media_common Biological Oxygen Demand Analysis Environmental engineering food and beverages Phosphorus General Medicine Contamination Waste Disposal Facilities 030104 developmental biology Activated sludge Multivariate Analysis Environmental science Sewage treatment |
Zdroj: | Journal of Environmental Management. 187:63-70 |
ISSN: | 0301-4797 |
DOI: | 10.1016/j.jenvman.2016.11.023 |
Popis: | This study was undertaken to evaluate the performance of four wastewater treatment plants/processes over a 4 year period. The wastewater flow evolution, energy consumption, and quality indicator parameters (BOD5, COD and TSS) at the inlet and outlet sites of the plants were determined. In comparing three domestic WWTPs with different wastewater treatment processes, the multivariate analyses (RDA and ANOVA) showed that although the Agareb plant received the highest pollution load, it displayed a high level of removal efficiency especially for COD, BOD, TSS, TKN and NH4+. It also revealed that the fluctuations in the wastewater composition and its contamination by varied industrial discharge could lead to the decrease in performance of the WWTP with activated sludge process as observed for the Southern Sfax plant. However, the electrolysis of the outlet water of Southern Sfax plant showed a significant improvement in COD removal. |
Databáze: | OpenAIRE |
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