Air quality changes in Ukraine during the April 2020 wildfire event

The paper analyzes air quality changes in Ukraine during a wildfire event in April 2020 and a dust storm episode during the 16th of April 2020. The wildfire event contained two episodes of active fires and huge pollutants' emission: 4-14 April and 16-21 April, respectively. Using the Sentinel-5...

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Main Authors: Savenets Mykhailo, Osadchyi Volodymyr, Oreshchenko Andrii, Pysarenko Larysa
Format: Article
Language:English
Published: University of Novi Sad, Department of Geography, Tourism and Hotel Management 2020-01-01
Series:Geographica Pannonica
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2020/0354-87242004271S.pdf
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spelling doaj-2ecc28b8d1884eada601876c14ecf2132021-03-24T09:18:22ZengUniversity of Novi Sad, Department of Geography, Tourism and Hotel Management Geographica Pannonica0354-87241820-71382020-01-0124427128410.5937/gp24-274360354-87242004271SAir quality changes in Ukraine during the April 2020 wildfire eventSavenets Mykhailo0Osadchyi Volodymyr1Oreshchenko Andrii2Pysarenko Larysa3Ukrainian Hydrometeorological Institute, Kyiv, UkraineUkrainian Hydrometeorological Institute, Kyiv, UkraineUkrainian Hydrometeorological Institute, Kyiv, UkraineUkrainian Hydrometeorological Institute, Kyiv, UkraineThe paper analyzes air quality changes in Ukraine during a wildfire event in April 2020 and a dust storm episode during the 16th of April 2020. The wildfire event contained two episodes of active fires and huge pollutants' emission: 4-14 April and 16-21 April, respectively. Using the Sentinel-5P data of CO and NO 2 column number density and ground-based measurements, there was estimated air quality deterioration. Advection of polluted air masses and analysis of affected territories were made in combination with a Web-based HYSPLIT model. Satellite data described air quality changes better than in-situ measurements. Data intercomparison showed better coincidence in regions that were not affected by wildfire emissions. The paper described the dust storm event based on absorbing aerosol index (AAI) data that occurred between two wildfire episodes.https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2020/0354-87242004271S.pdfwildfireair qualitycarbon monoxidenitrogen dioxidedust stormtrajectory
collection DOAJ
language English
format Article
sources DOAJ
author Savenets Mykhailo
Osadchyi Volodymyr
Oreshchenko Andrii
Pysarenko Larysa
spellingShingle Savenets Mykhailo
Osadchyi Volodymyr
Oreshchenko Andrii
Pysarenko Larysa
Air quality changes in Ukraine during the April 2020 wildfire event
Geographica Pannonica
wildfire
air quality
carbon monoxide
nitrogen dioxide
dust storm
trajectory
author_facet Savenets Mykhailo
Osadchyi Volodymyr
Oreshchenko Andrii
Pysarenko Larysa
author_sort Savenets Mykhailo
title Air quality changes in Ukraine during the April 2020 wildfire event
title_short Air quality changes in Ukraine during the April 2020 wildfire event
title_full Air quality changes in Ukraine during the April 2020 wildfire event
title_fullStr Air quality changes in Ukraine during the April 2020 wildfire event
title_full_unstemmed Air quality changes in Ukraine during the April 2020 wildfire event
title_sort air quality changes in ukraine during the april 2020 wildfire event
publisher University of Novi Sad, Department of Geography, Tourism and Hotel Management
series Geographica Pannonica
issn 0354-8724
1820-7138
publishDate 2020-01-01
description The paper analyzes air quality changes in Ukraine during a wildfire event in April 2020 and a dust storm episode during the 16th of April 2020. The wildfire event contained two episodes of active fires and huge pollutants' emission: 4-14 April and 16-21 April, respectively. Using the Sentinel-5P data of CO and NO 2 column number density and ground-based measurements, there was estimated air quality deterioration. Advection of polluted air masses and analysis of affected territories were made in combination with a Web-based HYSPLIT model. Satellite data described air quality changes better than in-situ measurements. Data intercomparison showed better coincidence in regions that were not affected by wildfire emissions. The paper described the dust storm event based on absorbing aerosol index (AAI) data that occurred between two wildfire episodes.
topic wildfire
air quality
carbon monoxide
nitrogen dioxide
dust storm
trajectory
url https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2020/0354-87242004271S.pdf
work_keys_str_mv AT savenetsmykhailo airqualitychangesinukraineduringtheapril2020wildfireevent
AT osadchyivolodymyr airqualitychangesinukraineduringtheapril2020wildfireevent
AT oreshchenkoandrii airqualitychangesinukraineduringtheapril2020wildfireevent
AT pysarenkolarysa airqualitychangesinukraineduringtheapril2020wildfireevent
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