Home Articles Article Details
    Abstracting/Indexing   
      p-ISSN: 1735-1472
     e-ISSN: 1735-2630
    
    (In Press)
Volume 10 (2013)
Volume 9 (2012)
Volume 8 (2011)
Volume 7 (2010)
Volume 6 (2009)
Volume 5 (2008)
Volume 4 (2007)
Volume 3 (2006)
Volume 2 (2005)
Volume 1 (2004)
Computer simulated versus observed NO2 and SO2 emitted from elevated point source complex
Article 8: Volume 4, Number 2, Spring 2007, Pages 215-222 (8) XML PDF (362 K)
Authors
W.L. Freddy Kho; J. Sentian; M. Radojevic; C.L. Tan; P.L. Law; Halipah S.
Abstract
ISC-AERMOD dispersion model was used to predict air dispersion plumes from an diesel power plant complex. Emissions of NO2 and SO2 from stacks (5 numbers) and a waste oil incinerator were studied to evaluate the pollutant dispersion patterns and the risk of nearby population. Emission source strengths from the individual point sources were also evaluated to determine the sources of significant attribution. Results demonstrated the dispersions of pollutants were influenced by the dominant easterly wind direction with the cumulative maximum ground level concentrations of 589.86 μg/m3 (1 h TWA NO2) and 479.26 μg/m3 (1 h TWA SO2). Model performance evaluation by comparing the predicted concentrations with observed values at ten locations for the individual air pollutants using rigorous statistical procedures were found to be in good agreement. Among all the emission sources within the facility complex, SESB-Power (diesel power plant) had been singled out as a significant source of emission that contributed >85% of the total pollutants emitted.
Keywords
Diesel-fired; Emission; ISC-AERMOD; Plumes; Power plant complex; Stack
Main Subjects
Computer simulated; NO2; SO2; Elevated point source complex;
Related Articles in IJEST Publication by Main Subject
References
1. Bennet, M., Hunter, G.C., (1997). Some comparisons of Lidarestimates of peak ground-level concentrations with the predictions of UK-ADMS. Atmos. Environ., 31 (3), 429-439 (11 Pages) Abstract
2. Carruthers, D.J., Edmunds, H.A., Bennet, M., Wood, P.T.,Milton, M.J.T., Robinson, R., Underwood, B.Y., Franklin,C.J., Timmis R., (1997). Validation of the ADMS dispersionmodel and assessment of its performance relative to R-91 and ISC using archived LIDAR data. Int. J. Environ. Pollut., 8 (3-6), 264-278 (15 Pages), DOI: 10.1504/IJEP.1997.028174. Abstract
3. Carslaw, D.C., Beevers S.D., (2002). Dispersion modellingconcentrations for transient emissions from elevated pointsources. Atmos. Environ., 36 (18), 3021-3029 (9 Pages), DOI: 10.1016/S1352-2310(02)00231-5. Abstract | Full Text
4. Department of Environment Malaysia (2000). A Guide ToAir Pollution Index In Malaysia. Ministry of Ministry of Science,Technology and Environment, Kuala Lumpur
5. Downer, R.M., Radojevic, M., (1992). Technologies ofControl, in Atmospheric Acidity. Eds ,M. Radojevic, R.M.Harrison, Elsevier Science Publishers Ltd, U.K., , 467-494 (28 Pages) Abstract
6. Hanna, S.R., (1989). Confidence limits for air quality odelevaluations as estimated by bootstrap and jackknife resampling methods. Atmos. Environ., 23 (6), 1385-1398 (14 Pages), DOI: 10.1016/0004-6981(89)90161-3. Abstract | Full Text
7. James, K.J., Cherry, M., Stack, M.A., (1995). Assessment of chemical plant emission on an urban environment: A newapproach to air uality measurements. Chemosphere, 31 (7), 3741-3751 (11 Pages), DOI: 10.1016/0045-6535(95)00223-U. Abstract | Full Text
8. Jesse, L., Cristiane L., Michael A., (2000). User’s Guide ISCAERMODView.,. Lakes Environmental Pt. Ltd., Ontario, Canada 1-2
9. Kumar, A., Bellman N.K., Sud A., (1999). Performance of anindustrial source complex model: predicting long-termconcentrations in an urban area. Environ. Prog., 18 (2), 93-100 (8 Pages), DOI: 10.1002/ep.670180213. Abstract | Full Text
10. Mazzeo, N.A., Venegas, L.E., (2000). Practical use of theISCST3 model to select monitoring site locations for air pollution control. Int. J. Environ. Pollut. 14 (2), 1-6 (6 Pages) Abstract
11. Mehdizadeh, F., Rifai H.S. (2004). Modelling point sourceplumes at high altitudes using a modified Gaussian model. Atmos. Environ., 38 (6), 821-831 (11 Pages), DOI: 10.1016/j.atmosenv.2003.10.041. Abstract | Full Text
12. Ministry of Environment Ontario (MEO) (2003). Proposedguidance for air dispersion modelling. Ministry of Environment Ontario Abstract | Full Text
13. Rama Krishna, T.V.B.P.S, Reddy, M.K., Reddy, R.C., Singh,R.N., (2004). Assimilative capacity and dispersion ofpollutants due to industrial sources in Visakhapatnam bowl area. Atmos. Environ., 38 (39), 6775-6787 (13 Pages), DOI: 10.1016/j.atmosenv.2004.09.014. Abstract | Full Text
14. Venegas, L.E., Mazzeo, N.A., (2006). Modelling of urbanbackground pollution in Buenos Aires City (Argentina). Environmental Modelling & Software 21 (4), 577-586 (10 Pages), DOI: 10.1016/j.envsoft.2004.08.013. Abstract | Full Text
15. Venkatram, A., Isakov, V., Yuan, J., Pankratz, D., (2004). Modeling dispersion at distances of meters from urbansources. Atmos. Environ., 38, 4633-4641 (9 Pages), DOI: 10.1016/j.atmosenv.2004.05.018. Abstract | Full Text
16. Wark, K., Warner, F.C., Davis, T.W., (1998). Air Pollution.Its Origin and Control, 3rd. Ed.. Addision-Wesley,Longman.Inc. Abstract
17. Yassin, M.F., Kato, S., Ooka, R., Takahashi, T., Kouno R., (2003). Study on effects of fluctuations in the wind directionon pollutant diffusion in urban areas. in Proceedings of the11th. International Conference on Modeling, Monitoring andManagement of Air Pollution, Eds. C.A. Brebbia & F. Patana,WIT Press, U.K., , 143-151 (9 Pages), DOI: 10.2495/AIR030621. Abstract
18. Zhou, Y., Levy, J.I., Hammitt, J.K., Evans, J.S., (2003). Estimating population exposure to power plant emissionsusing CALPUFF: A case study in Beijing, China Environ., 37, 815-826.. Atmos., 37 (6), 815-826 (12 Pages), DOI: 10.1016/S1352-2310(02)00937-8. Abstract | Full Text