STOCHASTIC MODELS OF SOME PROPERTIES OF WASTE
WATER IN THE MAAMERA SEWAGE TREATMENT PLANT
Dr. Nabaa Shakir Hadi
nabaalshimmri@yahoo.com
College of Engineering, University of Babylon, Babylon, Iraq
Received 30 November 2014 Accepted 3 February 2015
ABSTRACT
The records of influents concentration for both BOD5 and TSS of Maamera sewage treatment plant which were chosen
of this study are very important parameters, They play an important part in the planing and management of the national
water resources. Most of these records have periods of missing data of the influent BOD5 and TSS. In this study a
model for generating missing monthly concentrations influent BOD5 and TSS. Data are introduced. Initially univariate
models using the Box-Jenkins approach were fitted to the logarithmically transformed series. Both transformed series
were found to be generated by a random process using sampling theory were considered to be white noise. Ordinary
regression analysis was performed. No significant correlation between influent BOD 5 and TSS concentration were
found.
KEY -WORDS: Maamera sewage treatment plant, Statistical analysis, stochastic models.