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Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand

The richly forested Indian state of Uttarakhand experienced widespread forest fires in April to May 2016. The current study examines dispersion of carbon monoxide (CO) from the source regions of forest fire to distant places, using the Lagrangian particle dispersion model, FLEXPART. Atmospheric Infr...

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Autores principales: Thakur, Jaya, Thever, Prajesh, Gharai, Biswadip, Sesha Sai, MVR, Pamaraju, VNRao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452848/
https://www.ncbi.nlm.nih.gov/pubmed/30984477
http://dx.doi.org/10.7717/peerj.6507
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author Thakur, Jaya
Thever, Prajesh
Gharai, Biswadip
Sesha Sai, MVR
Pamaraju, VNRao
author_facet Thakur, Jaya
Thever, Prajesh
Gharai, Biswadip
Sesha Sai, MVR
Pamaraju, VNRao
author_sort Thakur, Jaya
collection PubMed
description The richly forested Indian state of Uttarakhand experienced widespread forest fires in April to May 2016. The current study examines dispersion of carbon monoxide (CO) from the source regions of forest fire to distant places, using the Lagrangian particle dispersion model, FLEXPART. Atmospheric Infrared Sounder (AIRS) observations revealed that CO columnar concentrations had increased by almost 28 percentage during 24 April to 02 May 2016 with respect to the previous non-burning period of April 2016 at Uttarakhand. It is also seen that there is considerable enhancement of 45 percentage in average columnar concentration of CO during the burning period, compared to that in the previous 5 years as observed by AIRS. In the present study, concentrations of CO at different pressure levels and columnar CO over Uttarakhand during the forest fire event have been simulated using FLEXPART. The area averaged profile of model derived CO has been compared with the profile from AIRS onboard Aqua. Comparison between model derived columnar CO and satellite observations shows good agreement with coefficient of correlation (r) approximately 0.91 over the burnt areas. Further analysis using FLEXPART reveals that the transport of pollutants is towards north-eastern and eastern regions from the locations of forest fire events. Model derived vertical distribution of CO over Tibet, which is situated at the north-east of Uttarakhand, shows significant increase of CO concentration at higher altitudes around 3 km from the mean sea level during the fire event. FLEXPART results show that the emissions from the Uttarakhand fires were transported to Tibet during the study period.
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spelling pubmed-64528482019-04-12 Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand Thakur, Jaya Thever, Prajesh Gharai, Biswadip Sesha Sai, MVR Pamaraju, VNRao PeerJ Atmospheric Chemistry The richly forested Indian state of Uttarakhand experienced widespread forest fires in April to May 2016. The current study examines dispersion of carbon monoxide (CO) from the source regions of forest fire to distant places, using the Lagrangian particle dispersion model, FLEXPART. Atmospheric Infrared Sounder (AIRS) observations revealed that CO columnar concentrations had increased by almost 28 percentage during 24 April to 02 May 2016 with respect to the previous non-burning period of April 2016 at Uttarakhand. It is also seen that there is considerable enhancement of 45 percentage in average columnar concentration of CO during the burning period, compared to that in the previous 5 years as observed by AIRS. In the present study, concentrations of CO at different pressure levels and columnar CO over Uttarakhand during the forest fire event have been simulated using FLEXPART. The area averaged profile of model derived CO has been compared with the profile from AIRS onboard Aqua. Comparison between model derived columnar CO and satellite observations shows good agreement with coefficient of correlation (r) approximately 0.91 over the burnt areas. Further analysis using FLEXPART reveals that the transport of pollutants is towards north-eastern and eastern regions from the locations of forest fire events. Model derived vertical distribution of CO over Tibet, which is situated at the north-east of Uttarakhand, shows significant increase of CO concentration at higher altitudes around 3 km from the mean sea level during the fire event. FLEXPART results show that the emissions from the Uttarakhand fires were transported to Tibet during the study period. PeerJ Inc. 2019-04-05 /pmc/articles/PMC6452848/ /pubmed/30984477 http://dx.doi.org/10.7717/peerj.6507 Text en ©2019 Thakur et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Atmospheric Chemistry
Thakur, Jaya
Thever, Prajesh
Gharai, Biswadip
Sesha Sai, MVR
Pamaraju, VNRao
Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand
title Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand
title_full Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand
title_fullStr Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand
title_full_unstemmed Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand
title_short Enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of Uttarakhand
title_sort enhancement of carbon monoxide concentration in atmosphere due to large scale forest fire of uttarakhand
topic Atmospheric Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452848/
https://www.ncbi.nlm.nih.gov/pubmed/30984477
http://dx.doi.org/10.7717/peerj.6507
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