General Information
    • ISSN: 2010-0264
    • Frequency: Bimonthly (2010-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJESD
    • Editor-in-Chief: Prof. Richard Haynes
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS), CABI, Ulrich Periodicals Directory, Electronic Journals Library, Crossref, ProQuest.
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The University of Queensland, Australia
It is my honor to be the editor-in-chief of IJESD. The journal publishes good papers in the field of environmental science and development.
IJESD 2013 Vol.4(4): 398-402 ISSN: 2010-0264
DOI: 10.7763/IJESD.2013.V4.380

Airborne Particulate Matter and Meteorological Interactions during the Haze Period in Malaysia

Carolyn Payus, Noraini Abdullah, and Norela Sulaiman
Abstract—Haze has become a major concern as it has highly significant impacts over Malaysia by several occurrences of haze episodes throughout the country. During the haze periods, airborne particulate matter (PM10) was found as the major pollutant while the other air quality parameters remained within the permissible healthy standards. Haze arise by fires from land clearing in Indonesia that builds up during the dry season affecting tourism, transportation, biodiversity, and contributing to health problems across the region. The variations of the PM10 concentrations are due to various atmospheric processes of emissions, dilutions and accumulations that are affected by meteorological conditions. In this study, an analysis of haze status will be performed using PM10 values from two commercial urban and industrial areas, which involved Kajang and Shah Alam, and one station that was located outside the city, which is in Kota Bahru, Kelantan, that was selected as a rural station for comparison. The aim of this study is to determine the correlation of PM10 concentrations with the meteorological factors (namely on temperature, wind speed and ultraviolet intensity) at different monitoring stations (at different type of land use). Twelve (12) multiple regression models with interactions for each station were developed from data sets of 90; the best model was used to forecast the upcoming haze weather.

Index Terms—Haze, airborne particulate matter (PM10), multiple regression models with interactions, meteorological factors.

Carolyn Payus and Noraini Abdullah are with School of Science & Technology, Universiti Malaysia Sabah (UMS), 88999 Kota Kinabalu, Malaysia (e-mail: cpayus@;
Norela Sulaiman is with School of Environmental and Natural Resources Science, Universiti Kebangsaan Malaysia (UKM), 46300 Bangi, Selangor, Malaysia (e-mail: norelaganun@gmail).


Cite:Carolyn Payus, Noraini Abdullah, and Norela Sulaiman, "Airborne Particulate Matter and Meteorological Interactions during the Haze Period in Malaysia," International Journal of Environmental Science and Development vol. 4, no. 4, pp. 398-402, 2013.

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