A Time Series Analysis of Wastewater Inflow of Sewage Treatment Plant in Mysore, India
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Available online at http://www.journalcra.com
INTERNATIONAL JOURNAL OF CURRENT RESEARCH
International Journal of Current Research
Vol. 5, Issue, 02, pp.248-253, February, 2013
ISSN: 0975-833X
RESEARCH ARTICLE
A Time Series Analysis of Wastewater Inflow of Sewage Treatment Plant in Mysore, India
*Ayesha Sulthana, Balasubramanian S. and Latha K. C.
Department of Water and Health, JSS University, Mysore, Karnataka
ARTICLE INFO
Article History:
Received 20 November, 2012 Received in revised form 14th December, 2012 Accepted 21th January, 2013 Published online 14th February, 2013 th ABSTRACT
Stochastic Models have been used to analyze the inflow rate of wastewater to the sewage treatment plant (STP) of Southern Mysore. Based on the daily inflow data of 217 days (November 2011 to June 2012), many possible combinations of the orders ‘p’ and ‘q’ were made with the differencing one (d=1). On the basis of diagnostic check, ARIMA (1, 1, 2) was selected which has a combination of significant R – square value of 0. 899 and a least Normalized Bayesian information Criterion (BIC) value of 1.681. Linear regression model applied to the observed inflow and the predicted values of inflow obtained by the ARIMA model showed positive linear correlation. Forecasted inflow rate was high for 300 days, which infers that the future designs for STP may need modification to accommodate the high inflow and since the series has no seasonal trend, an average inflow may also occur for some days.
Key words:
Sewage Inflow, Times series, ARIMA, Linear Regression.
Copy Right, IJCR, 2013, Academic Journals. All rights reserved.
INTRODUCTION
The safe treatment of sewage constitutes a huge responsibility; therefore Government has set up Sewage Treatment Plants (STP) based on the generation of waste, population and the respective area. The sewage treatment progresses slowly and it can be done efficiently, if it is planned according to the inflow changes of raw sewage. Hence the most important
Available online at http://www.journalcra.com
INTERNATIONAL JOURNAL OF CURRENT RESEARCH
International Journal of Current Research
Vol. 5, Issue, 02, pp.248-253, February, 2013
ISSN: 0975-833X
RESEARCH ARTICLE
A Time Series Analysis of Wastewater Inflow of Sewage Treatment Plant in Mysore, India
*Ayesha Sulthana, Balasubramanian S. and Latha K. C.
Department of Water and Health, JSS University, Mysore, Karnataka
ARTICLE INFO
Article History:
Received 20 November, 2012 Received in revised form 14th December, 2012 Accepted 21th January, 2013 Published online 14th February, 2013 th ABSTRACT
Stochastic Models have been used to analyze the inflow rate of wastewater to the sewage treatment plant (STP) of Southern Mysore. Based on the daily inflow data of 217 days (November 2011 to June 2012), many possible combinations of the orders ‘p’ and ‘q’ were made with the differencing one (d=1). On the basis of diagnostic check, ARIMA (1, 1, 2) was selected which has a combination of significant R – square value of 0. 899 and a least Normalized Bayesian information Criterion (BIC) value of 1.681. Linear regression model applied to the observed inflow and the predicted values of inflow obtained by the ARIMA model showed positive linear correlation. Forecasted inflow rate was high for 300 days, which infers that the future designs for STP may need modification to accommodate the high inflow and since the series has no seasonal trend, an average inflow may also occur for some days.
Key words:
Sewage Inflow, Times series, ARIMA, Linear Regression.
Copy Right, IJCR, 2013, Academic Journals. All rights reserved.
INTRODUCTION
The safe treatment of sewage constitutes a huge responsibility; therefore Government has set up Sewage Treatment Plants (STP) based on the generation of waste, population and the respective area. The sewage treatment progresses slowly and it can be done efficiently, if it is planned according to the inflow changes of raw sewage. Hence the most important
References: Ali,S.T.,(2009):"Fitting Seasonal Stochastic Models to Inflow of Bekhme Reservoir", The Iraqi Journal for Mechanical and Material Engineering, Special Issue(A), College of Engineering, University of Babylon. Box, G.E.P. and Jenkins, 1976. Time Series Analysis; Forecasting and Control, Holden-Day Inc. USA, pp: 574. *******