UPM Institutional Repository

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


Citation

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

Abstract

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.


Download File

[img]
Preview
Text (Abstract)
Estimation of PM10 from exhaust and non-exhaust emission in traffic area, Klang Valley, Peninsular Malaysia using air quality dispersion modeling.pdf

Download (37kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Environmental Studies
Faculty of Science
DOI Number: https://doi.org/10.5829/idosi.wasj.2017.2564.2570
Publisher: IDOSI Publications
Keywords: PM10; Emission inventory; Exhaust and non-exhaust emission; AERMOD dispersion model
Depositing User: Nabilah Mustapa
Date Deposited: 14 Aug 2018 08:53
Last Modified: 14 Aug 2018 08:53
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5829/idosi.wasj.2017.2564.2570
URI: http://psasir.upm.edu.my/id/eprint/13911
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item