Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin

Carbon Monoxide (CO) is one of the major threats to communities' health and the environment. In relation to spatial features affecting the increasing CO over cities, it is crucial to understand CO spatial variation concentration due to the built-up areas, vegetation, and temperature. This resea...

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Main Author:	Bahrin, Rabiatul Najwa
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Aerial geography Air pollution and its control
Online Access:	https://ir.uitm.edu.my/id/eprint/69212/1/69212.pdf
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id	my-uitm-ir.69212
record_format	uketd_dc
spelling	my-uitm-ir.692122022-11-14T06:51:33Z Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin 2022 Bahrin, Rabiatul Najwa Aerial geography Air pollution and its control Carbon Monoxide (CO) is one of the major threats to communities' health and the environment. In relation to spatial features affecting the increasing CO over cities, it is crucial to understand CO spatial variation concentration due to the built-up areas, vegetation, and temperature. This research aims to determine the effect of urbanization on the spatial variation of Carbon Monoxide (CO) for the years 2014, 2016, 2018 and 2020 in Selangor using annual Air Pollution Index (API) and Landsat 8 OLI/TIRS satellite-derived of Land Surface Temperature (LST) and Urban Indices. In this study, the spatial statistical approach of Multi Geographically Weighted Regression (MGWR) was used to determine the spatial variation of air pollutants in the Selangor area based on the relationships between CO with LST, Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI) and Urban Index (UI). The results from MGWR have shown that there were strong and significant correlations in 2014 (R2 = 0.989) while 2016, 2018 and 2020 (R2 = 0.992) in the relationships between CO and the urban parameters. The finding indicates the local spatial variations of CO concentrations due to the NDVI, NDBI, UI and LST where the areas with low vegetation, dense urbanization, and high LST are consistently associated with increased concentrations of CO. This outcome will aid urban and environmental planners in developing urban planning policies and making Selangor more resilient to the effects of air pollution. 2022 Thesis https://ir.uitm.edu.my/id/eprint/69212/ https://ir.uitm.edu.my/id/eprint/69212/1/69212.pdf text en public degree Universiti Teknologi MARA. Perlis Faculty of Architecture, Planning and Surveying Haron Narashid, Rohayu
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Haron Narashid, Rohayu
topic	Aerial geography Air pollution and its control
spellingShingle	Aerial geography Air pollution and its control Bahrin, Rabiatul Najwa Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin
description	Carbon Monoxide (CO) is one of the major threats to communities' health and the environment. In relation to spatial features affecting the increasing CO over cities, it is crucial to understand CO spatial variation concentration due to the built-up areas, vegetation, and temperature. This research aims to determine the effect of urbanization on the spatial variation of Carbon Monoxide (CO) for the years 2014, 2016, 2018 and 2020 in Selangor using annual Air Pollution Index (API) and Landsat 8 OLI/TIRS satellite-derived of Land Surface Temperature (LST) and Urban Indices. In this study, the spatial statistical approach of Multi Geographically Weighted Regression (MGWR) was used to determine the spatial variation of air pollutants in the Selangor area based on the relationships between CO with LST, Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI) and Urban Index (UI). The results from MGWR have shown that there were strong and significant correlations in 2014 (R2 = 0.989) while 2016, 2018 and 2020 (R2 = 0.992) in the relationships between CO and the urban parameters. The finding indicates the local spatial variations of CO concentrations due to the NDVI, NDBI, UI and LST where the areas with low vegetation, dense urbanization, and high LST are consistently associated with increased concentrations of CO. This outcome will aid urban and environmental planners in developing urban planning policies and making Selangor more resilient to the effects of air pollution.
format	Thesis
qualification_level	Bachelor degree
author	Bahrin, Rabiatul Najwa
author_facet	Bahrin, Rabiatul Najwa
author_sort	Bahrin, Rabiatul Najwa
title	Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin
title_short	Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin
title_full	Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin
title_fullStr	Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin
title_full_unstemmed	Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin
title_sort	effect of urban changes on carbon monoxide spatial variation using lst and urban indices of landsat 8 oli / rabiatul najwa bahrin
granting_institution	Universiti Teknologi MARA. Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/69212/1/69212.pdf
_version_	1783735856003022848

Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin

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