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:
Online Access:https://ir.uitm.edu.my/id/eprint/43967/1/43967.pdf
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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