Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling

This paper reviews methods to estimate the concentration of PM10 from vehicular emission sources (exhaust and non-exhaust) by using AERMOD dispersion model in the Klang Valley region. The ground level concentration was obtained by processing various meteorological parameters, terrain features and so...

Full description

Bibliographic Details
Main Authors: Elhadi, Rasheida E., Abdullah, Ahmad Makmom, Abdullah, Abdul Halim, Ash'aari, Zulfa Hanan, Kok, Chng
Format: Article
Language:English
Published: IDOSI Publications 2017
Online Access:http://psasir.upm.edu.my/id/eprint/13911/
http://psasir.upm.edu.my/id/eprint/13911/1/Estimation%20of%20PM10%20from%20exhaust%20and%20non-exhaust%20emission%20in%20traffic%20area%2C%20Klang%20Valley%2C%20Peninsular%20Malaysia%20using%20air%20quality%20dispersion%20modeling.pdf
_version_ 1848842246301941760
author Elhadi, Rasheida E.
Abdullah, Ahmad Makmom
Abdullah, Abdul Halim
Ash'aari, Zulfa Hanan
Kok, Chng
author_facet Elhadi, Rasheida E.
Abdullah, Ahmad Makmom
Abdullah, Abdul Halim
Ash'aari, Zulfa Hanan
Kok, Chng
author_sort Elhadi, Rasheida E.
building UPM Institutional Repository
collection Online Access
description This paper reviews methods to estimate the concentration of PM10 from vehicular emission sources (exhaust and non-exhaust) by using AERMOD dispersion model in the Klang Valley region. The ground level concentration was obtained by processing various meteorological parameters, terrain features and source emission inventory data (emission rate) for 2014 were used in simulations within 50 km x 50 km model domain over 24 hours averaging periods. The results showed the maximum concentrations of PM10 were revealed in central, southeast and southwest of the model domain. The evaluation of performance of the model was done by comparing observed and simulated PM10 concentrations using statistical tools such as correlation coefficient, Normalized Mean Square Error, Factor of two and index of agreement. Therefore, the AERMOD model evaluation results revealed an acceptable model for conducting dispersion modeling from vehicular sources (exhaust and non-exhaust) in the Klang Valley with good model skill for the estimation of PM10 concentrations in Shah Alam station. This study considers the first for evaluation PM10 using AERMOD dispersion model in the Klang Valley region in Peninsular Malaysia.
first_indexed 2025-11-15T07:56:05Z
format Article
id upm-13911
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T07:56:05Z
publishDate 2017
publisher IDOSI Publications
recordtype eprints
repository_type Digital Repository
spelling upm-139112018-08-14T08:53:27Z http://psasir.upm.edu.my/id/eprint/13911/ Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling Elhadi, Rasheida E. Abdullah, Ahmad Makmom Abdullah, Abdul Halim Ash'aari, Zulfa Hanan Kok, Chng This paper reviews methods to estimate the concentration of PM10 from vehicular emission sources (exhaust and non-exhaust) by using AERMOD dispersion model in the Klang Valley region. The ground level concentration was obtained by processing various meteorological parameters, terrain features and source emission inventory data (emission rate) for 2014 were used in simulations within 50 km x 50 km model domain over 24 hours averaging periods. The results showed the maximum concentrations of PM10 were revealed in central, southeast and southwest of the model domain. The evaluation of performance of the model was done by comparing observed and simulated PM10 concentrations using statistical tools such as correlation coefficient, Normalized Mean Square Error, Factor of two and index of agreement. Therefore, the AERMOD model evaluation results revealed an acceptable model for conducting dispersion modeling from vehicular sources (exhaust and non-exhaust) in the Klang Valley with good model skill for the estimation of PM10 concentrations in Shah Alam station. This study considers the first for evaluation PM10 using AERMOD dispersion model in the Klang Valley region in Peninsular Malaysia. IDOSI Publications 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/13911/1/Estimation%20of%20PM10%20from%20exhaust%20and%20non-exhaust%20emission%20in%20traffic%20area%2C%20Klang%20Valley%2C%20Peninsular%20Malaysia%20using%20air%20quality%20dispersion%20modeling.pdf Elhadi, Rasheida E. and Abdullah, Ahmad Makmom and Abdullah, Abdul Halim and Ash'aari, Zulfa Hanan and Kok, Chng (2017) Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling. World Applied Sciences Journal, 35 (12). pp. 2564-2570. ISSN 1818-4952; ESSN: 1991-6426 http://idosi.org/wasj/wasj35(12)2017.htm 10.5829/idosi.wasj.2017.2564.2570
spellingShingle Elhadi, Rasheida E.
Abdullah, Ahmad Makmom
Abdullah, Abdul Halim
Ash'aari, Zulfa Hanan
Kok, Chng
Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling
title Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling
title_full Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling
title_fullStr Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling
title_full_unstemmed Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling
title_short Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling
title_sort estimation of pm10 from exhaust and non-exhaust emission in traffic area, klang valley, peninsular malaysia using air quality dispersion modeling
url http://psasir.upm.edu.my/id/eprint/13911/
http://psasir.upm.edu.my/id/eprint/13911/
http://psasir.upm.edu.my/id/eprint/13911/
http://psasir.upm.edu.my/id/eprint/13911/1/Estimation%20of%20PM10%20from%20exhaust%20and%20non-exhaust%20emission%20in%20traffic%20area%2C%20Klang%20Valley%2C%20Peninsular%20Malaysia%20using%20air%20quality%20dispersion%20modeling.pdf