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A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET / CAITLIN JONES

Swansea University Author: CAITLIN JONES

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Abstract

In this thesis, the linear correlation of remotely sensed aerosol optical depth (AOD) and ground-measured fine particulate matter (PM2.5) is investigated. With instruments that are commonly usedto derive the concentrations of PM2.5 using remote sensing and AOD correlation, such as MODIS,going past i...

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Published: Swansea University, Wales, UK 2024
Institution: Swansea University
Degree level: Master of Research
Degree name: MSc by Research
Supervisor: North, P.
URI: https://cronfa.swan.ac.uk/Record/cronfa66510
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first_indexed 2024-05-24T14:56:37Z
last_indexed 2024-05-24T14:56:37Z
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spelling v2 66510 2024-05-24 A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET 7f3febfe0e51bf97a3027d753d643ed6 CAITLIN JONES CAITLIN JONES true false 2024-05-24 In this thesis, the linear correlation of remotely sensed aerosol optical depth (AOD) and ground-measured fine particulate matter (PM2.5) is investigated. With instruments that are commonly usedto derive the concentrations of PM2.5 using remote sensing and AOD correlation, such as MODIS,going past its expected operation period, new instruments must be investigated to determine if theywill be suitable for AOD and PM2.5 studies in the future.In this study, Sentinel-3a AOD data, derived from the Swansea University aerosol retrieval algorithm,was used to investigate the linear relationship between remotely sensed AOD and ground-measuredPM2.5 at the city scale. City pixels of AOD were correlated against aggregated PM2.5 stations, andcompared against the correlations of AERONET, a well-established ground measured AOD dataset, to see how they performed. This was conducted at a city-wide scale.This study showed a similar performance in the R2 values between Sentinel-3a and AERONET whencorrelating monthly values, but with R2 values remaining low. The main conclusions were thatSentinel-3a datasets have the potential to estimate PM2.5, but further research must be conducted in order to determine the best approach, as the city-scale may not be appropriate due to the coarseresolution. E-Thesis Swansea University, Wales, UK air pollution, AOD, PM2.5, Sentinel 3-a 11 4 2024 2024-04-11 A selection of content is redacted or is partially redacted from this thesis to protect sensitive and personal information. COLLEGE NANME COLLEGE CODE Swansea University North, P. Master of Research MSc by Research 2024-06-24T16:25:34.7564510 2024-05-24T15:42:46.4201747 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography CAITLIN JONES 1 66510__30458__2c63aa4a978d42f085f6b25f0d475807.pdf 2024_Jones_C.final.66510.pdf 2024-05-24T15:55:43.9960803 Output 1689887 application/pdf E-Thesis true Copyright: The Author, Caitlin Jones, 2022. Distributed under the terms of a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). true eng https://creativecommons.org/licenses/by-nc-sa/4.0/
title A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET
spellingShingle A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET
CAITLIN JONES
title_short A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET
title_full A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET
title_fullStr A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET
title_full_unstemmed A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET
title_sort A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET
author_id_str_mv 7f3febfe0e51bf97a3027d753d643ed6
author_id_fullname_str_mv 7f3febfe0e51bf97a3027d753d643ed6_***_CAITLIN JONES
author CAITLIN JONES
author2 CAITLIN JONES
format E-Thesis
publishDate 2024
institution Swansea University
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
description In this thesis, the linear correlation of remotely sensed aerosol optical depth (AOD) and ground-measured fine particulate matter (PM2.5) is investigated. With instruments that are commonly usedto derive the concentrations of PM2.5 using remote sensing and AOD correlation, such as MODIS,going past its expected operation period, new instruments must be investigated to determine if theywill be suitable for AOD and PM2.5 studies in the future.In this study, Sentinel-3a AOD data, derived from the Swansea University aerosol retrieval algorithm,was used to investigate the linear relationship between remotely sensed AOD and ground-measuredPM2.5 at the city scale. City pixels of AOD were correlated against aggregated PM2.5 stations, andcompared against the correlations of AERONET, a well-established ground measured AOD dataset, to see how they performed. This was conducted at a city-wide scale.This study showed a similar performance in the R2 values between Sentinel-3a and AERONET whencorrelating monthly values, but with R2 values remaining low. The main conclusions were thatSentinel-3a datasets have the potential to estimate PM2.5, but further research must be conducted in order to determine the best approach, as the city-scale may not be appropriate due to the coarseresolution.
published_date 2024-04-11T16:25:33Z
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score 11.035634

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