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Point source SO2 dispersion modeling under various stack heights and meteorological conditions

This paper presents the results of the SO2 dispersion modeling from an oil fired power plant. The Industrial Source Complex (ISC) air dispersion model was used in the study. The ISC requires input on the source emission, physical stack parameters, and meteorological data. Results on the predicted ma...

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Main Authors: Mohd. Yusoff, Mohd. Rashid, K., Sathiasilan, Mat, Ramli
Format: Conference or Workshop Item
Language:English
Published: 1997
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/4638/1/M.Rashid1997_PointSourceSO2DispersionModeling.pdf
http://eprints.utm.my/id/eprint/4638/
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spelling my.utm.46382017-07-24T06:48:45Z http://eprints.utm.my/id/eprint/4638/ Point source SO2 dispersion modeling under various stack heights and meteorological conditions Mohd. Yusoff, Mohd. Rashid K., Sathiasilan Mat, Ramli T Technology (General) This paper presents the results of the SO2 dispersion modeling from an oil fired power plant. The Industrial Source Complex (ISC) air dispersion model was used in the study. The ISC requires input on the source emission, physical stack parameters, and meteorological data. Results on the predicted maximum ground level SO2 concentration and the distance where it occurs under various stack heights (i.e 20 to 150 m) and seasonal meteorological conditions for a given oil fired power plant which consumes 1000 tons/day of fuel containing 3% sulfur were studied using the model. 1997 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/4638/1/M.Rashid1997_PointSourceSO2DispersionModeling.pdf Mohd. Yusoff, Mohd. Rashid and K., Sathiasilan and Mat, Ramli (1997) Point source SO2 dispersion modeling under various stack heights and meteorological conditions. In: Regional Symposium on Chemical Engineering 1997 in conjunction with 13th Symposium of Malaysian Chemical Engineers, 13-15 October, 1997, Hyatt Regency, Johor, Malaysia.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mohd. Yusoff, Mohd. Rashid
K., Sathiasilan
Mat, Ramli
Point source SO2 dispersion modeling under various stack heights and meteorological conditions
description This paper presents the results of the SO2 dispersion modeling from an oil fired power plant. The Industrial Source Complex (ISC) air dispersion model was used in the study. The ISC requires input on the source emission, physical stack parameters, and meteorological data. Results on the predicted maximum ground level SO2 concentration and the distance where it occurs under various stack heights (i.e 20 to 150 m) and seasonal meteorological conditions for a given oil fired power plant which consumes 1000 tons/day of fuel containing 3% sulfur were studied using the model.
format Conference or Workshop Item
author Mohd. Yusoff, Mohd. Rashid
K., Sathiasilan
Mat, Ramli
author_facet Mohd. Yusoff, Mohd. Rashid
K., Sathiasilan
Mat, Ramli
author_sort Mohd. Yusoff, Mohd. Rashid
title Point source SO2 dispersion modeling under various stack heights and meteorological conditions
title_short Point source SO2 dispersion modeling under various stack heights and meteorological conditions
title_full Point source SO2 dispersion modeling under various stack heights and meteorological conditions
title_fullStr Point source SO2 dispersion modeling under various stack heights and meteorological conditions
title_full_unstemmed Point source SO2 dispersion modeling under various stack heights and meteorological conditions
title_sort point source so2 dispersion modeling under various stack heights and meteorological conditions
publishDate 1997
url http://eprints.utm.my/id/eprint/4638/1/M.Rashid1997_PointSourceSO2DispersionModeling.pdf
http://eprints.utm.my/id/eprint/4638/
_version_ 1643644111830384640
score 13.160551

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