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Receptor Modeling Prediction for Potential Sources of PM10 at an Urban Location in Klang Valley, Malaysia

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From Sources to Solution

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Abstract

This study aims to investigate the characterization and source apportionment of PM10 at an urban site in Peninsular Malaysia. Principle component analysis (PCA) coupled with absolute principle component score (APCS) and multiple linear regression analysis (MLRA) were employed as a hybrid receptor model to perform the apportionment of PM10 sources. An hourly real time in situ data set of gases (e.g. CO, O3, SO2, NOx, NO, and NO2) and meteorological variables (e.g., ambient temperature, relative humidity and wind speed) measured at Petaling Jaya site of Selangor for a span of one year from January till December 2009 were used. The most sporadic variability of concentration of PM10 was noticed during south westerly and north easterly monsoon. PCA-APCS-MLRA predicted two predominant factors: (a) traffic emission and (b) meteorological factors-O3 source by which contributed 25 and 8 %, respectively, to PM10 concentration.

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References

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Authors and Affiliations

  1. Faculty of Science and Technology, School of Environmental and Natural Resource Sciences, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Md Firoz Khan, Mohd Talib Latif, Norhaniza Amil, Noorlin Mohamad & Negar Banan

  2. Research Centre for Tropical Climate Change System (IKLIM), Bangi, Malaysia

    Mohd Talib Latif

  3. School of Industrial Technology (Environment), Universiti Sains Malaysia, 11800, Penang, Malaysia

    Norhaniza Amil

  4. Faculty of Science and Technology, Department of Engineering Science, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu, Malaysia

    Noorlin Mohamad

Authors
  1. Md Firoz Khan
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  2. Mohd Talib Latif
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  3. Norhaniza Amil
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  4. Noorlin Mohamad
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  5. Negar Banan
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Corresponding author

Correspondence to Md Firoz Khan .

Editor information

Editors and Affiliations

  1. Environmental Forensics Research Centre, Universiti Putra Malaysia, Serdang, Malaysia

    A.Z. Aris

  2. Department of Environmental Sciences, Universiti Putra Malaysia, Serdang, Malaysia

    T.H. Tengku Ismail

  3. Department of Environmental Management, Universiti Putra Malaysia, Serdang, Malaysia

    R. Harun

  4. Environmental Forensics Research Centre, Universiti Putra Malaysia, Serdang, Malaysia

    A.M. Abdullah

  5. Department of Environmental Management, Universiti Putra Malaysia, Serdang, Malaysia

    M.Y. Ishak

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© 2014 Springer Science+Business Media Singapore

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Cite this paper

Khan, M.F., Latif, M.T., Amil, N., Mohamad, N., Banan, N. (2014). Receptor Modeling Prediction for Potential Sources of PM10 at an Urban Location in Klang Valley, Malaysia. In: Aris, A., Tengku Ismail, T., Harun, R., Abdullah, A., Ishak, M. (eds) From Sources to Solution. Springer, Singapore. https://doi.org/10.1007/978-981-4560-70-2_49

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