Artificial cloud test confirms volcanic ash detection using infrared spectral imaging

Airborne volcanic ash particles are a known hazard to aviation. Currently, there are no means available to detect ash in flight as the particles are too fine (radii<30 µm) for on-board radar detection and, even in good visibility, ash clouds are difficult or impossible to detect by eye. The econo...

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Published in:Scientific Reports
Main Authors: Prata, G, Prata, A, Dezitter, F, Davies, I, Weber, K, Birnfeld, M, Moriano, D, Bernardo, C, Vogel, A, Mather, T, Thomas, H, Cammas, J, Weber, M
Format: Article in Journal/Newspaper
Language:unknown
Published: Nature Publishing Group 2016
Subjects:
Online Access:https://doi.org/10.1038/srep25620
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spelling ftuloxford:oai:ora.ox.ac.uk:uuid:9a0706d1-cbe2-4b9b-86c1-bc5c72a1405d 2023-05-15T16:51:27+02:00 Artificial cloud test confirms volcanic ash detection using infrared spectral imaging Prata, G Prata, A Dezitter, F Davies, I Weber, K Birnfeld, M Moriano, D Bernardo, C Vogel, A Mather, T Thomas, H Cammas, J Weber, M 2016-07-28 https://doi.org/10.1038/srep25620 https://ora.ox.ac.uk/objects/uuid:9a0706d1-cbe2-4b9b-86c1-bc5c72a1405d unknown Nature Publishing Group doi:10.1038/srep25620 https://ora.ox.ac.uk/objects/uuid:9a0706d1-cbe2-4b9b-86c1-bc5c72a1405d https://doi.org/10.1038/srep25620 info:eu-repo/semantics/openAccess CC Attribution (CC BY) CC-BY Journal article 2016 ftuloxford https://doi.org/10.1038/srep25620 2022-06-28T20:19:11Z Airborne volcanic ash particles are a known hazard to aviation. Currently, there are no means available to detect ash in flight as the particles are too fine (radii<30 µm) for on-board radar detection and, even in good visibility, ash clouds are difficult or impossible to detect by eye. The economic cost and societal impact of the April/May 2010 Icelandic eruption of Eyjafjallajokull generated renewed interest in finding ways to identify airborne volcanic ¨ ash in order to keep airspace open and avoid aircraft groundings. We have designed and built a bi-spectral, fast-sampling, uncooled infrared camera device (AVOID) to examine its ability to detect volcanic ash from commercial jet aircraft at distances of more than 50 km ahead. Here we report results of an experiment conducted over the Atlantic Ocean, off the coast of France, confirming the ability of the device to detect and quantify volcanic ash in an artificial ash cloud created by dispersal of volcanic ash from a second aircraft. A third aircraft was used to measure the ash in situ using optical particle counters. The cloud was composed of very fine ash (mean radii ∼10 µm) collected from Iceland immediately after the Eyjafjallajokull eruption and had a vertical thickness of ¨ ∼200 m, a width of ∼2 km and length of between 2 and 12 km. Concentrations of ∼200 µg m−3 were identified by AVOID at distances from ∼20 km to ∼70 km. For the first time, airborne remote detection of volcanic ash has been successfully demonstrated from a long-range flight test aircraft. Article in Journal/Newspaper Iceland ORA - Oxford University Research Archive Eyjafjallajokull ENVELOPE(-19.633,-19.633,63.631,63.631) Scientific Reports 6 1
institution Open Polar
collection ORA - Oxford University Research Archive
op_collection_id ftuloxford
language unknown
description Airborne volcanic ash particles are a known hazard to aviation. Currently, there are no means available to detect ash in flight as the particles are too fine (radii<30 µm) for on-board radar detection and, even in good visibility, ash clouds are difficult or impossible to detect by eye. The economic cost and societal impact of the April/May 2010 Icelandic eruption of Eyjafjallajokull generated renewed interest in finding ways to identify airborne volcanic ¨ ash in order to keep airspace open and avoid aircraft groundings. We have designed and built a bi-spectral, fast-sampling, uncooled infrared camera device (AVOID) to examine its ability to detect volcanic ash from commercial jet aircraft at distances of more than 50 km ahead. Here we report results of an experiment conducted over the Atlantic Ocean, off the coast of France, confirming the ability of the device to detect and quantify volcanic ash in an artificial ash cloud created by dispersal of volcanic ash from a second aircraft. A third aircraft was used to measure the ash in situ using optical particle counters. The cloud was composed of very fine ash (mean radii ∼10 µm) collected from Iceland immediately after the Eyjafjallajokull eruption and had a vertical thickness of ¨ ∼200 m, a width of ∼2 km and length of between 2 and 12 km. Concentrations of ∼200 µg m−3 were identified by AVOID at distances from ∼20 km to ∼70 km. For the first time, airborne remote detection of volcanic ash has been successfully demonstrated from a long-range flight test aircraft.
format Article in Journal/Newspaper
author Prata, G
Prata, A
Dezitter, F
Davies, I
Weber, K
Birnfeld, M
Moriano, D
Bernardo, C
Vogel, A
Mather, T
Thomas, H
Cammas, J
Weber, M
spellingShingle Prata, G
Prata, A
Dezitter, F
Davies, I
Weber, K
Birnfeld, M
Moriano, D
Bernardo, C
Vogel, A
Mather, T
Thomas, H
Cammas, J
Weber, M
Artificial cloud test confirms volcanic ash detection using infrared spectral imaging
author_facet Prata, G
Prata, A
Dezitter, F
Davies, I
Weber, K
Birnfeld, M
Moriano, D
Bernardo, C
Vogel, A
Mather, T
Thomas, H
Cammas, J
Weber, M
author_sort Prata, G
title Artificial cloud test confirms volcanic ash detection using infrared spectral imaging
title_short Artificial cloud test confirms volcanic ash detection using infrared spectral imaging
title_full Artificial cloud test confirms volcanic ash detection using infrared spectral imaging
title_fullStr Artificial cloud test confirms volcanic ash detection using infrared spectral imaging
title_full_unstemmed Artificial cloud test confirms volcanic ash detection using infrared spectral imaging
title_sort artificial cloud test confirms volcanic ash detection using infrared spectral imaging
publisher Nature Publishing Group
publishDate 2016
url https://doi.org/10.1038/srep25620
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long_lat ENVELOPE(-19.633,-19.633,63.631,63.631)
geographic Eyjafjallajokull
geographic_facet Eyjafjallajokull
genre Iceland
genre_facet Iceland
op_relation doi:10.1038/srep25620
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https://doi.org/10.1038/srep25620
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