Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi

Meteorological parameters are one of the factors that will affect the concentration and distribution of particulate matter but the strength of the relationship is different depends on the certain parameters such as geographical location; land use, rapid growth of industrialization and transportation...

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Main Author:	Mohamad Tarmizi, Siti Norhayati
Format:	Thesis
Language:	English
Published:	2016
Online Access:	https://ir.uitm.edu.my/id/eprint/18590/1/TM_SITI%20NORHAYATI%20MOHAMAD%20TARMIZI%20AS%2016_5.pdf
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id	my-uitm-ir.18590
record_format	uketd_dc
spelling	my-uitm-ir.185902022-03-08T07:33:31Z Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi 2016 Mohamad Tarmizi, Siti Norhayati Meteorological parameters are one of the factors that will affect the concentration and distribution of particulate matter but the strength of the relationship is different depends on the certain parameters such as geographical location; land use, rapid growth of industrialization and transportation activity in the study area. The main objective in this study is to establish the relationship between PM₁₀ concentration and meteorological parameters in seasonal pattern for these three years (2004-2006). The highest value of correlation coefficient for PM₁₀ and wind speed was measured at - 0.18 during spring intermonsoon in 2004 at Kuala Selangor station. It shows that that PM₁₀ was increased as wind speed decreased. Relationship between PM₁₀ and temperature has showed positive relationship PM₁₀ where PM₁₀ increases as temperature increases. The r-square value ranged from 0.14 to 0.36. Klang and Petaling Jaya station has recorded the higher r-square value with 0.36 and 0.34 as compared with other stations. The highest correlation between PM₁₀ and humidity was observed at Klang station during autumn intermonsoon in 2005. The second objective is to analyze spatial distribution of PM₁₀ concentration distribution in seasonal pattern and the third objective is to compare the spatial interpolation technique for distribution of PM₁₀ concentration. In the spatial analysis of PM₁₀ concentration, Ordinary Kriging was chosen as best interpolator as less Root mean Square Error achieved by this technique. Another set of PM₁₀ data in 2010 was being tested with 2006 data by using the similar technique and 81.5% similarity result was obtained. 2016 Thesis https://ir.uitm.edu.my/id/eprint/18590/ https://ir.uitm.edu.my/id/eprint/18590/1/TM_SITI%20NORHAYATI%20MOHAMAD%20TARMIZI%20AS%2016_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Applied Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	Meteorological parameters are one of the factors that will affect the concentration and distribution of particulate matter but the strength of the relationship is different depends on the certain parameters such as geographical location; land use, rapid growth of industrialization and transportation activity in the study area. The main objective in this study is to establish the relationship between PM₁₀ concentration and meteorological parameters in seasonal pattern for these three years (2004-2006). The highest value of correlation coefficient for PM₁₀ and wind speed was measured at - 0.18 during spring intermonsoon in 2004 at Kuala Selangor station. It shows that that PM₁₀ was increased as wind speed decreased. Relationship between PM₁₀ and temperature has showed positive relationship PM₁₀ where PM₁₀ increases as temperature increases. The r-square value ranged from 0.14 to 0.36. Klang and Petaling Jaya station has recorded the higher r-square value with 0.36 and 0.34 as compared with other stations. The highest correlation between PM₁₀ and humidity was observed at Klang station during autumn intermonsoon in 2005. The second objective is to analyze spatial distribution of PM₁₀ concentration distribution in seasonal pattern and the third objective is to compare the spatial interpolation technique for distribution of PM₁₀ concentration. In the spatial analysis of PM₁₀ concentration, Ordinary Kriging was chosen as best interpolator as less Root mean Square Error achieved by this technique. Another set of PM₁₀ data in 2010 was being tested with 2006 data by using the similar technique and 81.5% similarity result was obtained.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohamad Tarmizi, Siti Norhayati
spellingShingle	Mohamad Tarmizi, Siti Norhayati Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi
author_facet	Mohamad Tarmizi, Siti Norhayati
author_sort	Mohamad Tarmizi, Siti Norhayati
title	Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi
title_short	Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi
title_full	Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi
title_fullStr	Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi
title_full_unstemmed	Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi
title_sort	seasonal and spatial pm₁₀ concentration in selected regions in klang valley, malaysia / siti norhayati mohamad tarmizi
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Applied Sciences
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/18590/1/TM_SITI%20NORHAYATI%20MOHAMAD%20TARMIZI%20AS%2016_5.pdf
_version_	1783733696985038848

Seasonal and spatial PM₁₀ concentration in selected regions in Klang Valley, Malaysia / Siti Norhayati Mohamad Tarmizi

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