Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan

Numerous epidemiological researches have proved that particulate matter (PM 2.5) is formally classified as particulate matter with a diameter of less than 2.5 nm, which is one of the most dangerous air contaminants affecting human health, during the Movement Control Order (MCO) within six months. Th...

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Main Author:	Mazlan, Nur Aina
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Aerial geography Geographic information systems Air pollution and its control
Online Access:	https://ir.uitm.edu.my/id/eprint/43967/1/43967.pdf
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id	my-uitm-ir.43967
record_format	uketd_dc
spelling	my-uitm-ir.439672021-06-22T02:30:04Z Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan 2021-03-22 Mazlan, Nur Aina Aerial geography Geographic information systems Air pollution and its control Numerous epidemiological researches have proved that particulate matter (PM 2.5) is formally classified as particulate matter with a diameter of less than 2.5 nm, which is one of the most dangerous air contaminants affecting human health, during the Movement Control Order (MCO) within six months. The coronavirus pandemic has led to an increase in air quality index all around the world, especially in Malaysia region. The aim of this study is to assess the impact of COVID19 Lockdown on air pollution emissions monitoring at Selangor and Wilayah Persekutuan District. To achieve the aim, the objectives of this study are to produce the interpolation of API Index map of before for year 2019 and after MCO period for year 2020 and to extrapolate the effect of pollution during COVID-19 lockdown by using Sentinel 5p and Sentinel 2A before and after MCO period. Data that will be used is Sentinel 5P, Sentinel 2A and Air Pollution Index of Malaysia (APIMS) to monitor the air quality that contain nitrogen dioxide concentration. Software that will be used in this process are ArcMap and VISAN application in the Basic Envisat Atmospheric Toolbox (BEAT). This can help the improvement of air quality beyond the spreading of Corona Virus Disease-19 in Malaysia. 2021-03 Thesis https://ir.uitm.edu.my/id/eprint/43967/ https://ir.uitm.edu.my/id/eprint/43967/1/43967.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Geographic information systems Air pollution and its control
spellingShingle	Aerial geography Geographic information systems Air pollution and its control Mazlan, Nur Aina Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan
description	Numerous epidemiological researches have proved that particulate matter (PM 2.5) is formally classified as particulate matter with a diameter of less than 2.5 nm, which is one of the most dangerous air contaminants affecting human health, during the Movement Control Order (MCO) within six months. The coronavirus pandemic has led to an increase in air quality index all around the world, especially in Malaysia region. The aim of this study is to assess the impact of COVID19 Lockdown on air pollution emissions monitoring at Selangor and Wilayah Persekutuan District. To achieve the aim, the objectives of this study are to produce the interpolation of API Index map of before for year 2019 and after MCO period for year 2020 and to extrapolate the effect of pollution during COVID-19 lockdown by using Sentinel 5p and Sentinel 2A before and after MCO period. Data that will be used is Sentinel 5P, Sentinel 2A and Air Pollution Index of Malaysia (APIMS) to monitor the air quality that contain nitrogen dioxide concentration. Software that will be used in this process are ArcMap and VISAN application in the Basic Envisat Atmospheric Toolbox (BEAT). This can help the improvement of air quality beyond the spreading of Corona Virus Disease-19 in Malaysia.
format	Thesis
qualification_level	Bachelor degree
author	Mazlan, Nur Aina
author_facet	Mazlan, Nur Aina
author_sort	Mazlan, Nur Aina
title	Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan
title_short	Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan
title_full	Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan
title_fullStr	Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan
title_full_unstemmed	Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan
title_sort	covid-19 lockdowns pollution emissions monitoring : malaysia case study / nur aina mazlan
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/43967/1/43967.pdf
_version_	1783734709630533632

Covid-19 lockdowns pollution emissions monitoring : Malaysia Case Study / Nur Aina Mazlan

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