Biological Treatment of Grey Water Using Sequencing Batch Reactor

The present study included the application of Sequence Batch Reactor SBR technology for the treatment of domestic grey water which represents (50-80%) of the households wastewater. Different cycle times were used 6, 8 & 12 hrs. at each cycle time, The characteristics of (PO4-1, NO3-1, COD) were...

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Main Author: Rasha K. Sabri
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2013-04-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_84169_2d9ee8257306657ab19be512703f9a57.pdf
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author Rasha K. Sabri
author_facet Rasha K. Sabri
author_sort Rasha K. Sabri
collection DOAJ
description The present study included the application of Sequence Batch Reactor SBR technology for the treatment of domestic grey water which represents (50-80%) of the households wastewater. Different cycle times were used 6, 8 & 12 hrs. at each cycle time, The characteristics of (PO4-1, NO3-1, COD) were studied of influent, effluent and through interaction samples in the reactor to evaluate the efficiency of the treatment technology used. It was concluded that removal efficiency of organic matters (COD) increases with increasing the cycle time. Nitrate ( NO3-1 ) removal was dependent on the availability of nutrients for microorganisms. On the other hand, optimum removal of phosphate occurred when aerobic and anoxic periods were equal. when comparing the values characteristics (S.S, pH) for treated grey water with the Iraqi specification, it was found that there was a fair convergence in values. As for the values of electrical conductivity (EC), they were considered suitable for good bearing salts plants according to U.S. Salinity Laboratory classification.
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spelling doaj.art-97aa1f3a00304cfea0323a0ef3d904ee2024-02-04T17:34:57ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582013-04-01314 B53955010.30684/etj.31.4B.1284169Biological Treatment of Grey Water Using Sequencing Batch ReactorRasha K. SabriThe present study included the application of Sequence Batch Reactor SBR technology for the treatment of domestic grey water which represents (50-80%) of the households wastewater. Different cycle times were used 6, 8 & 12 hrs. at each cycle time, The characteristics of (PO4-1, NO3-1, COD) were studied of influent, effluent and through interaction samples in the reactor to evaluate the efficiency of the treatment technology used. It was concluded that removal efficiency of organic matters (COD) increases with increasing the cycle time. Nitrate ( NO3-1 ) removal was dependent on the availability of nutrients for microorganisms. On the other hand, optimum removal of phosphate occurred when aerobic and anoxic periods were equal. when comparing the values characteristics (S.S, pH) for treated grey water with the Iraqi specification, it was found that there was a fair convergence in values. As for the values of electrical conductivity (EC), they were considered suitable for good bearing salts plants according to U.S. Salinity Laboratory classification.https://etj.uotechnology.edu.iq/article_84169_2d9ee8257306657ab19be512703f9a57.pdfgrey watersequence batch reactornitrate removalphosphate removal
spellingShingle Rasha K. Sabri
Biological Treatment of Grey Water Using Sequencing Batch Reactor
Engineering and Technology Journal
grey water
sequence batch reactor
nitrate removal
phosphate removal
title Biological Treatment of Grey Water Using Sequencing Batch Reactor
title_full Biological Treatment of Grey Water Using Sequencing Batch Reactor
title_fullStr Biological Treatment of Grey Water Using Sequencing Batch Reactor
title_full_unstemmed Biological Treatment of Grey Water Using Sequencing Batch Reactor
title_short Biological Treatment of Grey Water Using Sequencing Batch Reactor
title_sort biological treatment of grey water using sequencing batch reactor
topic grey water
sequence batch reactor
nitrate removal
phosphate removal
url https://etj.uotechnology.edu.iq/article_84169_2d9ee8257306657ab19be512703f9a57.pdf
work_keys_str_mv AT rashaksabri biologicaltreatmentofgreywaterusingsequencingbatchreactor