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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
https://ir.uitm.edu.my/id/eprint/69212/
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spelling my.uitm.ir.692122022-11-14T06:51:33Z https://ir.uitm.edu.my/id/eprint/69212/ Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/69212/1/69212.pdf Effect of urban changes on carbon monoxide spatial variation using LST and urban indices of Landsat 8 OLI / Rabiatul Najwa Bahrin. (2022) Degree thesis, thesis, Universiti Teknologi MARA. Perlis.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/69212/1/69212.pdf
https://ir.uitm.edu.my/id/eprint/69212/
_version_ 1751539938229223424
score 13.222552

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