Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products

PURPOSE: Tehran, Iran, is an interesting location for aerosol studies because it is affected by anthropogenic pollution and desert dust aerosols. The aim of this study was to discriminate the aerosol types using satellite data over the city. METHOD: The study was performed using Level-2 daily Aeroso...

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Published in:Journal of Environmental Health Science and Engineering
Main Authors: Rezaei, Mohammad, Farajzadeh, Manuchehr, Mielonen, Tero, Ghavidel, Yosef
Format: Text
Language:English
Published: Springer International Publishing 2019
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582181/
http://www.ncbi.nlm.nih.gov/pubmed/31297198
https://doi.org/10.1007/s40201-018-00321-2
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spelling ftpubmed:oai:pubmedcentral.nih.gov:6582181 2023-05-15T13:07:04+02:00 Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products Rezaei, Mohammad Farajzadeh, Manuchehr Mielonen, Tero Ghavidel, Yosef 2019-04-23 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582181/ http://www.ncbi.nlm.nih.gov/pubmed/31297198 https://doi.org/10.1007/s40201-018-00321-2 en eng Springer International Publishing http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582181/ http://www.ncbi.nlm.nih.gov/pubmed/31297198 http://dx.doi.org/10.1007/s40201-018-00321-2 © Springer Nature Switzerland AG 2019 Research Article Text 2019 ftpubmed https://doi.org/10.1007/s40201-018-00321-2 2020-04-26T00:15:16Z PURPOSE: Tehran, Iran, is an interesting location for aerosol studies because it is affected by anthropogenic pollution and desert dust aerosols. The aim of this study was to discriminate the aerosol types using satellite data over the city. METHOD: The study was performed using Level-2 daily Aerosol Optical Depth (AOD) and Ångström Exponent (AE) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites for the years 2011 to 2015. As the Deep Blue (DB) AE retrievals are more reliable than the Dark Target (DT) AE retrievals, the study was performed using DB data. RESULTS: The number of granules with successful retrievals (at least in two pixels with AODs >0.2 over Tehran with high quality assurance) was 200, which indicates that aerosols could be observed in 5.47% (200 from 3652 of Terra and Aqua granules) of the overpasses during the study period. The maximum and minimum values of AOD occurred during May (0.32 ± 0.27) and August (0.18 ± 0.07), respectively. Based on the AOD vs. AE data, aerosols were classified into three different categories: urban/industry (UI), Desert Dust (DD) and Mixed (Mix). To improve the accuracy of the aerosol classification, the analysis was limited to retrievals with AOD values larger than 0.2. The DD, UI and Mix types had 48.5%, 30.5% and 21% contribution in the aerosol days, respectively. CONCLUSIONS: The maximum DD frequency was observed in the spring and summer seasons, while the UI type had its maximum during the cold season. The AOD of the DD type (over Tehran) correlated well with the AOD observations done at the Aerosol Robotic Network (AERONET) site in Zanjan (300 km northwest from Tehran). For the UI type, no relationship with the AERONET AOD was detected. This gives confidence in our aerosol typing as the contribution of dust in the aerosol load is mainly from long-range transport, whereas the urban aerosols originate from local sources. Back trajectories ending in Tehran show that the northeast and west ... Text Aerosol Robotic Network PubMed Central (PMC) Journal of Environmental Health Science and Engineering 17 1 1 12
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Rezaei, Mohammad
Farajzadeh, Manuchehr
Mielonen, Tero
Ghavidel, Yosef
Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products
topic_facet Research Article
description PURPOSE: Tehran, Iran, is an interesting location for aerosol studies because it is affected by anthropogenic pollution and desert dust aerosols. The aim of this study was to discriminate the aerosol types using satellite data over the city. METHOD: The study was performed using Level-2 daily Aerosol Optical Depth (AOD) and Ångström Exponent (AE) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites for the years 2011 to 2015. As the Deep Blue (DB) AE retrievals are more reliable than the Dark Target (DT) AE retrievals, the study was performed using DB data. RESULTS: The number of granules with successful retrievals (at least in two pixels with AODs >0.2 over Tehran with high quality assurance) was 200, which indicates that aerosols could be observed in 5.47% (200 from 3652 of Terra and Aqua granules) of the overpasses during the study period. The maximum and minimum values of AOD occurred during May (0.32 ± 0.27) and August (0.18 ± 0.07), respectively. Based on the AOD vs. AE data, aerosols were classified into three different categories: urban/industry (UI), Desert Dust (DD) and Mixed (Mix). To improve the accuracy of the aerosol classification, the analysis was limited to retrievals with AOD values larger than 0.2. The DD, UI and Mix types had 48.5%, 30.5% and 21% contribution in the aerosol days, respectively. CONCLUSIONS: The maximum DD frequency was observed in the spring and summer seasons, while the UI type had its maximum during the cold season. The AOD of the DD type (over Tehran) correlated well with the AOD observations done at the Aerosol Robotic Network (AERONET) site in Zanjan (300 km northwest from Tehran). For the UI type, no relationship with the AERONET AOD was detected. This gives confidence in our aerosol typing as the contribution of dust in the aerosol load is mainly from long-range transport, whereas the urban aerosols originate from local sources. Back trajectories ending in Tehran show that the northeast and west ...
format Text
author Rezaei, Mohammad
Farajzadeh, Manuchehr
Mielonen, Tero
Ghavidel, Yosef
author_facet Rezaei, Mohammad
Farajzadeh, Manuchehr
Mielonen, Tero
Ghavidel, Yosef
author_sort Rezaei, Mohammad
title Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products
title_short Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products
title_full Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products
title_fullStr Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products
title_full_unstemmed Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products
title_sort discrimination of aerosol types over the tehran city using 5 years (2011–2015) of modis collection 6 aerosol products
publisher Springer International Publishing
publishDate 2019
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582181/
http://www.ncbi.nlm.nih.gov/pubmed/31297198
https://doi.org/10.1007/s40201-018-00321-2
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582181/
http://www.ncbi.nlm.nih.gov/pubmed/31297198
http://dx.doi.org/10.1007/s40201-018-00321-2
op_rights © Springer Nature Switzerland AG 2019
op_doi https://doi.org/10.1007/s40201-018-00321-2
container_title Journal of Environmental Health Science and Engineering
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