Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model

Air quality modeling is an essential tool for most air pollution studies and the introduction of SO2 standards creates a need for modeling the dispersion of SO2. This work deals specifically with the use of the Steady State Gaussian Plume Model at Seberang Perai Industrial Area, Penang. The study...

Full description

Saved in:

Bibliographic Details
Main Author:	Ahmad Hazmi, Nurul Suliana
Format:	Thesis
Language:	English English
Published:	2006
Subjects:	Sulphur dioxide mitigation - Seberang Perai - Case studies
Online Access:	http://psasir.upm.edu.my/id/eprint/4750/1/FPAS_2006_3.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-upm-ir.4750
record_format	uketd_dc
spelling	my-upm-ir.47502013-05-27T07:18:05Z Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model 2006 Ahmad Hazmi, Nurul Suliana Air quality modeling is an essential tool for most air pollution studies and the introduction of SO2 standards creates a need for modeling the dispersion of SO2. This work deals specifically with the use of the Steady State Gaussian Plume Model at Seberang Perai Industrial Area, Penang. The study utilized air quality data which span over a period of 5years (1999-2003). The first objective of this study was to simulate SO2 dispersion isopleths from multiple industrial sources at Seberang Perai Industrial Area which contributed to at least 70-75% of the total air pollution load in Penang. The second objective was to evaluate the Steady State Gaussian Plume Model by comparing the calculated and measured concentrations. The results showed that both simulated and measured concentrations are within a factor of 2, judged to be validated when the calculated and measured values do not differ in the annual averages by more than approximately 30% and the hourly concentration with 95% of the accumulative frequency distribution. Hence, Steady State Gaussian Plume Model employed by ISCST (design by the U.S EPA) is verified and is suitable for simulating air pollutants dispersion from industrial activities in this country. The dispersion isopleths obtained in this study confer the first dispersion isopleths in Seberang Perai and formed a basis study for future scenarios that include the impacts of increasing energy consumption per capita, of changing populations and of new industrial development, including their optimal siting. Sulphur dioxide mitigation - Seberang Perai - Case studies 2006 Thesis http://psasir.upm.edu.my/id/eprint/4750/ http://psasir.upm.edu.my/id/eprint/4750/1/FPAS_2006_3.pdf application/pdf en public masters Universiti Putra Malaysia Sulphur dioxide mitigation - Seberang Perai - Case studies Faculty of Science and Environmental Studies English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Sulphur dioxide mitigation - Seberang Perai - Case studies
spellingShingle	Sulphur dioxide mitigation - Seberang Perai - Case studies Ahmad Hazmi, Nurul Suliana Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model
description	Air quality modeling is an essential tool for most air pollution studies and the introduction of SO2 standards creates a need for modeling the dispersion of SO2. This work deals specifically with the use of the Steady State Gaussian Plume Model at Seberang Perai Industrial Area, Penang. The study utilized air quality data which span over a period of 5years (1999-2003). The first objective of this study was to simulate SO2 dispersion isopleths from multiple industrial sources at Seberang Perai Industrial Area which contributed to at least 70-75% of the total air pollution load in Penang. The second objective was to evaluate the Steady State Gaussian Plume Model by comparing the calculated and measured concentrations. The results showed that both simulated and measured concentrations are within a factor of 2, judged to be validated when the calculated and measured values do not differ in the annual averages by more than approximately 30% and the hourly concentration with 95% of the accumulative frequency distribution. Hence, Steady State Gaussian Plume Model employed by ISCST (design by the U.S EPA) is verified and is suitable for simulating air pollutants dispersion from industrial activities in this country. The dispersion isopleths obtained in this study confer the first dispersion isopleths in Seberang Perai and formed a basis study for future scenarios that include the impacts of increasing energy consumption per capita, of changing populations and of new industrial development, including their optimal siting.
format	Thesis
qualification_level	Master's degree
author	Ahmad Hazmi, Nurul Suliana
author_facet	Ahmad Hazmi, Nurul Suliana
author_sort	Ahmad Hazmi, Nurul Suliana
title	Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model
title_short	Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model
title_full	Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model
title_fullStr	Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model
title_full_unstemmed	Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model
title_sort	predicting sulphur dioxide dispersion isopleths from multiple industrial sources in seberang perai using the steady state gaussian plume model
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Science and Environmental Studies
publishDate	2006
url	http://psasir.upm.edu.my/id/eprint/4750/1/FPAS_2006_3.pdf
_version_	1747810268516188160

Predicting sulphur dioxide dispersion isopleths from Multiple industrial sources in seberang perai using the Steady state gaussian plume model

Similar Items