Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system

The emission of sulphur dioxide has increased along with the industrialization and urbanization which become the public’s major concern. It is well known as the precursor of acid precipitation, which could bring negative impacts on the environment and human health. It is important to have a reliable...

Full description

Saved in:
Bibliographic Details
Main Author: Ching, Loi Kok
Format: Thesis
Language:English
English
Published: 2011
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/26565/1/FPAS%202011%209R.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-upm-ir.26565
record_format uketd_dc
spelling my-upm-ir.265652014-01-21T04:48:36Z Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system 2011-03 Ching, Loi Kok The emission of sulphur dioxide has increased along with the industrialization and urbanization which become the public’s major concern. It is well known as the precursor of acid precipitation, which could bring negative impacts on the environment and human health. It is important to have a reliable estimation of sulphur dioxide emissions in order to formulate effective strategies for mitigation purposes. Hence, emission source estimation and air quality assessment using air quality modeling system becomes essential in the process of developing an appropriate air quality plans. The goal of the study will be focused on the relationship between pollution emission changes and the meteorological condition thus affecting the air quality in the study area. The primary objectives of the study is to establish an emission inventory from different types of sources in Klang Valley, to simulate meteorological and dispersion of sulphur dioxide in Klang Valley region using integrated model MM5-SMOKE-CMAQ, and evaluate the performance of the model. Simulation on the meteorology condition using Fifth Generation Mesoscale Model (MM5) was carried out and emission inventory was simulated using Sparse Matrix Operational Kernel Emission (SMOKE) model. The meteorological profiles from MM5 and emission data from SMOKE model were used to simulate the dispersion of sulphur dioxide using Community Multiscale Air Quality (CMAQ). The evaluation of CMAQ model revealed that the model performed better in 12-hour averaged sulphur dioxide concentration with high correlation value of 0.87 and low RMSE of 1.87E-03 ppmv. These results justify the use of integrated model MM5- SMOKE-CMAQ modeling system in the Klang Valley region which has complex terrain and land use. The model showed maximum SO2 concentration (0.041ppmv) was located at Shah Alam industrial zone, followed by Klang industrial zone and other cities such as Kajang, Petaling, Gombak and Cheras showed relative low SO2 concentration. The model also showed that the highest level of sulfur dioxide was well below the guideline recommended by DOE (0.14ppmv). Sulfur dioxide mitigation - Malaysia - Klang Valley - Case studies Air quality - Malaysia - Klang Valley Air - Pollution - Malaysia - Klang Valley 2011-03 Thesis http://psasir.upm.edu.my/id/eprint/26565/ http://psasir.upm.edu.my/id/eprint/26565/1/FPAS%202011%209R.pdf application/pdf en public masters Universiti Putra Malaysia Sulfur dioxide mitigation - Malaysia - Klang Valley - Case studies Air quality - Malaysia - Klang Valley Air - Pollution - Malaysia - Klang Valley Faculty of Environmental Studies English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Sulfur dioxide mitigation - Malaysia - Klang Valley - Case studies
Air quality - Malaysia - Klang Valley
Air - Pollution - Malaysia - Klang Valley
spellingShingle Sulfur dioxide mitigation - Malaysia - Klang Valley - Case studies
Air quality - Malaysia - Klang Valley
Air - Pollution - Malaysia - Klang Valley
Ching, Loi Kok
Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system
description The emission of sulphur dioxide has increased along with the industrialization and urbanization which become the public’s major concern. It is well known as the precursor of acid precipitation, which could bring negative impacts on the environment and human health. It is important to have a reliable estimation of sulphur dioxide emissions in order to formulate effective strategies for mitigation purposes. Hence, emission source estimation and air quality assessment using air quality modeling system becomes essential in the process of developing an appropriate air quality plans. The goal of the study will be focused on the relationship between pollution emission changes and the meteorological condition thus affecting the air quality in the study area. The primary objectives of the study is to establish an emission inventory from different types of sources in Klang Valley, to simulate meteorological and dispersion of sulphur dioxide in Klang Valley region using integrated model MM5-SMOKE-CMAQ, and evaluate the performance of the model. Simulation on the meteorology condition using Fifth Generation Mesoscale Model (MM5) was carried out and emission inventory was simulated using Sparse Matrix Operational Kernel Emission (SMOKE) model. The meteorological profiles from MM5 and emission data from SMOKE model were used to simulate the dispersion of sulphur dioxide using Community Multiscale Air Quality (CMAQ). The evaluation of CMAQ model revealed that the model performed better in 12-hour averaged sulphur dioxide concentration with high correlation value of 0.87 and low RMSE of 1.87E-03 ppmv. These results justify the use of integrated model MM5- SMOKE-CMAQ modeling system in the Klang Valley region which has complex terrain and land use. The model showed maximum SO2 concentration (0.041ppmv) was located at Shah Alam industrial zone, followed by Klang industrial zone and other cities such as Kajang, Petaling, Gombak and Cheras showed relative low SO2 concentration. The model also showed that the highest level of sulfur dioxide was well below the guideline recommended by DOE (0.14ppmv).
format Thesis
qualification_level Master's degree
author Ching, Loi Kok
author_facet Ching, Loi Kok
author_sort Ching, Loi Kok
title Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system
title_short Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system
title_full Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system
title_fullStr Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system
title_full_unstemmed Predicting sulphur dioxide dispersion from multiple sources in major cities in Klang Valley, Malaysia using integrated MM5-SMOKE-CMAQ model system
title_sort predicting sulphur dioxide dispersion from multiple sources in major cities in klang valley, malaysia using integrated mm5-smoke-cmaq model system
granting_institution Universiti Putra Malaysia
granting_department Faculty of Environmental Studies
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/26565/1/FPAS%202011%209R.pdf
_version_ 1747811547424489472