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 eco...
Published in: | Scientific Reports |
---|---|
Main Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | https://hdl.handle.net/1983/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 https://research-information.bris.ac.uk/en/publications/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 https://doi.org/10.1038/srep25620 https://research-information.bris.ac.uk/ws/files/105005597/Full_text_PDF_final_published_version_.pdf https://research-information.bris.ac.uk/ws/files/105606236/srep25620_s1.pdf |
id |
ftubristolcris:oai:research-information.bris.ac.uk:publications/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 |
---|---|
record_format |
openpolar |
spelling |
ftubristolcris:oai:research-information.bris.ac.uk:publications/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 2024-05-12T08:03:22+00:00 Artificial cloud test confirms volcanic ash detection using infrared spectral imaging Prata, Alfredo Dezitter, F Davies, I Weber, Konradin Birnfeld, M Moriano, David Bernardo, Cirilo Vogel, Andreas Thomas, Helen Prata, Gemma Mather, Tamsin Cammas, J Weber, M 2016-05-09 application/pdf https://hdl.handle.net/1983/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 https://research-information.bris.ac.uk/en/publications/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 https://doi.org/10.1038/srep25620 https://research-information.bris.ac.uk/ws/files/105005597/Full_text_PDF_final_published_version_.pdf https://research-information.bris.ac.uk/ws/files/105606236/srep25620_s1.pdf eng eng https://research-information.bris.ac.uk/en/publications/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 info:eu-repo/semantics/openAccess Prata , A , Dezitter , F , Davies , I , Weber , K , Birnfeld , M , Moriano , D , Bernardo , C , Vogel , A , Thomas , H , Prata , G , Mather , T , Cammas , J & Weber , M 2016 , ' Artificial cloud test confirms volcanic ash detection using infrared spectral imaging ' , Scientific Reports , vol. 6 , 25620 . https://doi.org/10.1038/srep25620 article 2016 ftubristolcris https://doi.org/10.1038/srep25620 2024-04-17T14:22:32Z 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 Eyjafjallajökull 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 Eyjafjallajökull 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 Eyjafjallajökull Iceland University of Bristol: Bristol Research Scientific Reports 6 1 |
institution |
Open Polar |
collection |
University of Bristol: Bristol Research |
op_collection_id |
ftubristolcris |
language |
English |
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 Eyjafjallajökull 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 Eyjafjallajökull 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, Alfredo Dezitter, F Davies, I Weber, Konradin Birnfeld, M Moriano, David Bernardo, Cirilo Vogel, Andreas Thomas, Helen Prata, Gemma Mather, Tamsin Cammas, J Weber, M |
spellingShingle |
Prata, Alfredo Dezitter, F Davies, I Weber, Konradin Birnfeld, M Moriano, David Bernardo, Cirilo Vogel, Andreas Thomas, Helen Prata, Gemma Mather, Tamsin Cammas, J Weber, M Artificial cloud test confirms volcanic ash detection using infrared spectral imaging |
author_facet |
Prata, Alfredo Dezitter, F Davies, I Weber, Konradin Birnfeld, M Moriano, David Bernardo, Cirilo Vogel, Andreas Thomas, Helen Prata, Gemma Mather, Tamsin Cammas, J Weber, M |
author_sort |
Prata, Alfredo |
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 |
publishDate |
2016 |
url |
https://hdl.handle.net/1983/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 https://research-information.bris.ac.uk/en/publications/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 https://doi.org/10.1038/srep25620 https://research-information.bris.ac.uk/ws/files/105005597/Full_text_PDF_final_published_version_.pdf https://research-information.bris.ac.uk/ws/files/105606236/srep25620_s1.pdf |
genre |
Eyjafjallajökull Iceland |
genre_facet |
Eyjafjallajökull Iceland |
op_source |
Prata , A , Dezitter , F , Davies , I , Weber , K , Birnfeld , M , Moriano , D , Bernardo , C , Vogel , A , Thomas , H , Prata , G , Mather , T , Cammas , J & Weber , M 2016 , ' Artificial cloud test confirms volcanic ash detection using infrared spectral imaging ' , Scientific Reports , vol. 6 , 25620 . https://doi.org/10.1038/srep25620 |
op_relation |
https://research-information.bris.ac.uk/en/publications/7153d2dc-2df4-4ada-ac11-4c9ce1701a53 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/srep25620 |
container_title |
Scientific Reports |
container_volume |
6 |
container_issue |
1 |
_version_ |
1798845484719144960 |