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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014 Vol.4(6): 461-464 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.418

Calibration of ASM1 for Carbon and Nitrogen Removals of Riqqa Activated Sludge System, Kuwait

Abdallah Abusam
Abstract—Riqqa plant, the second largest wastewater treatment plant in Kuwait, has lately shown signs of working under unstable conditions. The Kuwait Institute for Scientific Research has conducted a study to evaluate the plant performance and to pin-point the probable causes of the problem. To achieve these objectives, the Riqqa activated sludge system was modelled using activated sludge model No. 1 (ASM1) in SIMBA simulation package. It was the first time to use ASM1 to model a full-scale activated sludge system in Kuwait. This paper presents the calibration of ASM1 to carbon and nitrogen removals of the Riqqa activated sludge system, using long-term routinely measured wastewater quality parameters. Repirometery analysis was used to help in chemical oxygen demand (COD) fractionation and for providing initial guess values for the calibrated parameters. Validation results showed reasonable agreement between the measured and simulated COD, NH4-N and NO3-N over long-term dynamic simulation. The developed model was then used to evaluate and diagnose the system performance. The values of ASM1 parameters obtained will be useful in modelling other activated sludge systems in the country.

Index Terms—Activated sludge, performance simulation, modeling, calibration.

A. Abusam is with Kuwait Institute for Scientific Research, P. O. Box 24885, Safat 13109, Kuwait (e-mail: aabusam@kisr.edu.kw).


Cite: Abdallah Abusam, "Calibration of ASM1 for Carbon and Nitrogen Removals of Riqqa Activated Sludge System, Kuwait," International Journal of Modeling and Optimization vol. 4, no. 6, pp. 461-464, 2014.

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