Quantitative Study for Exchange of Gases from Open Sewer Channel to Atmosphere

In this communication a quantitative modeling approach is applied to construct model for the exchange of gases from open sewer channel to the atmosphere. The data for the exchange of gases of the open sewer channel for the year January 1979 to December 2006 is utilized for the construction of the model. The study reveals that stream flow of the open sewer channel exchanges the toxic gases continuously with time varying scale. We find that the quantitative modeling approach is more parsimonious model for these exchanges. The usual diagnostic tests are applied for the model adequacy. This model is beneficial for planner and managerial bodies for the improvement of implemented policies to overcome future environmental problems.

Authors:

• Asif Mansoor
• Nasiruddin Khan
• Noreen Jamil

Keywords:

• Open sewer channel
• Industrial waste
• Municipalwaste
• Gases exchange
• Atmosphere
• Stochastic models
• Diagnosticschecks.

References:

[1] Associated Consulting Engineers, Industrial Waste Pollution Report,
ACE. Karachi, 1983.
[2] Associated Consulting Engineers, Lyari and Malir River Pollution
Study, ACE. Karachi, 1993.
[3] Balfours, Feasibility Study for Preparation of Sewage and Sewage
Disposal Projects in Karachi, Final Report. Vol 2, pp-32-78, 1988.
[4] E. Haq, Land Form Drainage System Basin in Karachi Region, MP &
ED Report No. MP-Rp-9. Karachi Development Authority, 1971.
[5] Karachi Development Authority and Master Plan & Environmental
Control Department, Karachi Costal Recreation Development Plan
1990-2000, KDA, MP & ECD. Karachi, pp 49-80, 1990.
[6] Karachi Port Trust, Environmental Impact Studies, Final Report
vol. (1), KPT, Karachi, 1996.
[7] A. Mansoor, and S. Mirza, "Waste Disposal And Stream Flow Quantity
And Quality of Lyari River," IJMSS, Vol(1), No.(1), pp. 76-89, 2007.
[8] A. Mansoor, and R.K. Naeem, "Stochastic Modeling Approach for
Water Quality Assessment," in Proc. Int. Conf. on Built Environment,
Pennag Malaysia, 2007, pp. 113-116.
[9] American Public Health Association, Standard Methods for The
Examination of Water and Wastewater, 19th ed. New York: APHA,
1995.
[10] S. Makridakis, S.C. Wheelwright and V.E. McGee, Forecasting:
Methods and Applications, 2nd ed. Singapore: Jhon Wiley & Sons, 1983.
[11] A.A. Afifi, and V.Clark, Computer-Aided Multivariate Analysis,
London: Chapman & Hall, 1996.
[12] S.A. Delurgio, Forecasting Principles and Applications, New York:
McGraw-Hill, 1996.
[13] G.E.P. Box, G.M. Jenkins, & G.C. Reinsel, Time Series Analysis
Forecasting and Control, 3rd ed. India: Pearson Education, 2003.