Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data

The study of atmospheric aerosol is becoming more important due to its various adverse effects on human beings, the environment and the Earth’s climate. The issue of atmospheric aerosol is a great concern to Malaysia because of the rapid development and urbanization and the regional haze occurrence....

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Main Author:	Salahuddin, Mohd Muzammil
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Atmospheric aerosols - Remote sensing Air - Pollution Aerosols - Environmental aspects
Online Access:	http://psasir.upm.edu.my/id/eprint/70634/1/FPAS%202017%2013%20IR.pdf
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id	my-upm-ir.70634
record_format	uketd_dc
spelling	my-upm-ir.706342019-08-20T00:50:20Z Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data 2016-10 Salahuddin, Mohd Muzammil The study of atmospheric aerosol is becoming more important due to its various adverse effects on human beings, the environment and the Earth’s climate. The issue of atmospheric aerosol is a great concern to Malaysia because of the rapid development and urbanization and the regional haze occurrence. There are a number of issues concerning aerosol monitoring in Malaysia because of the weaknesses of ground-based aerosol monitoring. This study aims to apply remote sensing in conjunction with ground-based data of aerosol as solutions to the weaknesses. The correlation between remote sensing and ground-based aerosol data has been found to range from 0.014 to 0.739. Furthermore, the spatial and temporal variability of aerosol is determined. Two different patterns of monthly aerosol concentrations are identified and influenced by rainfall and monsoonal seasons. Source apportionment analysis reveals urban/industrial aerosol type as the most abundant aerosol type. It is followed by aerosols from biomass burning, maritime environment and mineral sources/dust. The Principal Component Analysis (PCA) reveals only one underlying spatial pattern in aerosol concentration which explains 62.23% of the data variability. The influence of meteorological factors, based on the multiple linear regression model is significant and able to explain 7.7% of the variation of the aerosol. This study shows that remote sensing is very useful in aerosol monitoring, especially when used in conjunction with ground-based data. Atmospheric aerosols - Remote sensing Air - Pollution Aerosols - Environmental aspects 2016-10 Thesis http://psasir.upm.edu.my/id/eprint/70634/ http://psasir.upm.edu.my/id/eprint/70634/1/FPAS%202017%2013%20IR.pdf text en public masters Universiti Putra Malaysia Atmospheric aerosols - Remote sensing Air - Pollution Aerosols - Environmental aspects
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Atmospheric aerosols - Remote sensing Air - Pollution Aerosols - Environmental aspects
spellingShingle	Atmospheric aerosols - Remote sensing Air - Pollution Aerosols - Environmental aspects Salahuddin, Mohd Muzammil Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data
description	The study of atmospheric aerosol is becoming more important due to its various adverse effects on human beings, the environment and the Earth’s climate. The issue of atmospheric aerosol is a great concern to Malaysia because of the rapid development and urbanization and the regional haze occurrence. There are a number of issues concerning aerosol monitoring in Malaysia because of the weaknesses of ground-based aerosol monitoring. This study aims to apply remote sensing in conjunction with ground-based data of aerosol as solutions to the weaknesses. The correlation between remote sensing and ground-based aerosol data has been found to range from 0.014 to 0.739. Furthermore, the spatial and temporal variability of aerosol is determined. Two different patterns of monthly aerosol concentrations are identified and influenced by rainfall and monsoonal seasons. Source apportionment analysis reveals urban/industrial aerosol type as the most abundant aerosol type. It is followed by aerosols from biomass burning, maritime environment and mineral sources/dust. The Principal Component Analysis (PCA) reveals only one underlying spatial pattern in aerosol concentration which explains 62.23% of the data variability. The influence of meteorological factors, based on the multiple linear regression model is significant and able to explain 7.7% of the variation of the aerosol. This study shows that remote sensing is very useful in aerosol monitoring, especially when used in conjunction with ground-based data.
format	Thesis
qualification_level	Master's degree
author	Salahuddin, Mohd Muzammil
author_facet	Salahuddin, Mohd Muzammil
author_sort	Salahuddin, Mohd Muzammil
title	Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data
title_short	Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data
title_full	Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data
title_fullStr	Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data
title_full_unstemmed	Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data
title_sort	aerosols trend and characteristics on east coast of peninsular malaysia by integrating remote sensing and in-situ data
granting_institution	Universiti Putra Malaysia
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/70634/1/FPAS%202017%2013%20IR.pdf
_version_	1747812879211429888

Aerosols trend and characteristics on east coast of Peninsular Malaysia by integrating remote sensing and in-situ data

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