Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia

In this study, the particulate matter with diameter less than 10 micrometers (PM10 ) is being observed. Other factors that influenced the pollutant dispersion are also being studied prior to identification of their relationsh ip. The aim of this study is to identify the trend of PM10 concentrations...

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Main Authors: Khir, M. S. M., Muda, K., Hussein, N., Khanan, M. F. A., Othman, M. N., Hashim, N., Dahari, N.
Format: Article
Language:English
Published: Science Publishing Corporation Inc 2018
Subjects:
Online Access:http://eprints.utm.my/79828/1/MohamadSaifulKhir2018_SpatioTemporalAnalysisofPM10inSouthernPeninsular.pdf
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author Khir, M. S. M.
Muda, K.
Hussein, N.
Khanan, M. F. A.
Othman, M. N.
Hashim, N.
Dahari, N.
author_facet Khir, M. S. M.
Muda, K.
Hussein, N.
Khanan, M. F. A.
Othman, M. N.
Hashim, N.
Dahari, N.
author_sort Khir, M. S. M.
collection ePrints
description In this study, the particulate matter with diameter less than 10 micrometers (PM10 ) is being observed. Other factors that influenced the pollutant dispersion are also being studied prior to identification of their relationsh ip. The aim of this study is to identify the trend of PM10 concentrations in the Southern Peninsular of Malaysia during the peri od 2005 to 2015 by using spatio-temporal analysis in regards to air pollution. The inverse distance weighted (IDW) is used for the spati o interpolation data and mapping. The trends of the PM10 concentration are illustrated via map which indicates the affected and vulnerabl e area of Southern Peninsular Malaysia especially during Haze episode.
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spelling utm.eprints-798282019-01-28T06:56:16Z http://eprints.utm.my/79828/ Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia Khir, M. S. M. Muda, K. Hussein, N. Khanan, M. F. A. Othman, M. N. Hashim, N. Dahari, N. TA Engineering (General). Civil engineering (General) In this study, the particulate matter with diameter less than 10 micrometers (PM10 ) is being observed. Other factors that influenced the pollutant dispersion are also being studied prior to identification of their relationsh ip. The aim of this study is to identify the trend of PM10 concentrations in the Southern Peninsular of Malaysia during the peri od 2005 to 2015 by using spatio-temporal analysis in regards to air pollution. The inverse distance weighted (IDW) is used for the spati o interpolation data and mapping. The trends of the PM10 concentration are illustrated via map which indicates the affected and vulnerabl e area of Southern Peninsular Malaysia especially during Haze episode. Science Publishing Corporation Inc 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/79828/1/MohamadSaifulKhir2018_SpatioTemporalAnalysisofPM10inSouthernPeninsular.pdf Khir, M. S. M. and Muda, K. and Hussein, N. and Khanan, M. F. A. and Othman, M. N. and Hashim, N. and Dahari, N. (2018) Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia. International Journal of Engineering and Technology(UAE), 7 (3). pp. 27-30. ISSN 2227-524X http://dx.doi.org/10.14419/ijet.v7i3.9.15267 DOI:10.14419/ijet.v7i3.9.15267
spellingShingle TA Engineering (General). Civil engineering (General)
Khir, M. S. M.
Muda, K.
Hussein, N.
Khanan, M. F. A.
Othman, M. N.
Hashim, N.
Dahari, N.
Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia
title Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia
title_full Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia
title_fullStr Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia
title_full_unstemmed Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia
title_short Spatio-temporal analysis of PM10 in Southern Peninsular Malaysia
title_sort spatio temporal analysis of pm10 in southern peninsular malaysia
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/79828/1/MohamadSaifulKhir2018_SpatioTemporalAnalysisofPM10inSouthernPeninsular.pdf
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AT khananmfa spatiotemporalanalysisofpm10insouthernpeninsularmalaysia
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