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عنوان البحث(Papers / Research Title)


STATISTICAL ANALAYSIS OF QUALITY PARAMETERS OF MAAMERA SEWWAGE TREATMENT PLANT


الناشر \ المحرر \ الكاتب (Author / Editor / Publisher)

 
نبأ شاكر هادي الشمري

Citation Information


نبأ,شاكر,هادي,الشمري ,STATISTICAL ANALAYSIS OF QUALITY PARAMETERS OF MAAMERA SEWWAGE TREATMENT PLANT , Time 29/01/2018 14:47:02 : كلية الهندسة

وصف الابستركت (Abstract)


STATISTICAL ANALAYSIS OF QUALITY PARAMETERS OF MAAMERA SEWWAGE TREATMENT PLANT

الوصف الكامل (Full Abstract)

STATISTICAL ANALAYSIS OF QUALITY PARAMETERS OF
MAAMERA SEWWAGE TREATMENT PLANT
Dr.Nabaa Shakir Hadi
Lecturer
College of Engineering, University of Babylon, Babylon, Iraq
E-mail\\nabaalshimmri@yahoo.com
Abstract
The present study aimed to statistical analysis of quality parameters of Maamera sewage
treatment plant at Hilla city. The plant designed to serve 50000 populations and it is operating
on biological treatment method(Activated Sludge Process) with an average wastewater inflow
of 12000 M
3
D. Wastewater data were collected yearly by Mayoralty of Hilla from the influent
and effluent in Maamera Sewage treatment plant for major water quality parameters, such as
biological oxygen demand (BOD5), chemical oxygen demand (COD), total suspended solids
(TSS), pH, T, chloride (Cl) over a period of six consecutive years. performance efficiency of
the plant has been estimated for each year. A multivariate statistical technique of the data has
been attempted by applying Cluster analysis using Statistical Package for Social Sciences
(SPSS). The result reveals that the overall performance of the existing was satisfactory.
Cluster analysis shows that years ( 2009, 2010 , 2011 and 2012) indicate a good level of
treatment compared to that compared to that of 2007 and 2008. Final effluent quality(in term
of mean value of six consecutive years) does not meet the stringent regulations proposed by
the Iraqi National Standards set by the Regulation 25 of 1967. The BOD5/COD ratio of the
influent was calculated as 0.49 in total wastewater.
Keywords: Maamera sewage treatment plant, Cluster analysis, Statistical analysis.

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