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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University of Novi Sad, Department of Geography, Tourism and Hotel Management
2020-01-01
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2020/0354-87242004271S.pdf |
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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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