Airborne measurements of volcanic gas composition during unrest at Kuchinoerabujima volcano, Japan View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Ryunosuke Kazahaya, Hiroshi Shinohara, Takao Ohminato, Takayuki Kaneko

ABSTRACT

Airborne measurements of volcanic gas composition using an unmanned aerial vehicle (UAV) and Cessna aircraft were conducted at Kuchinoerabujima volcano, Japan, between 2014 and 2016. Because eruptions occurred in August 2014, May 2015, and June 2015, access to the summit crater was limited because of the risk of sudden eruption such that airborne measurements were the only viable method to measure the volcanic gas composition. Multi-GAS and alkali-filter pack measurements were made on the leeward side of the crater and around the crater, using the Cessna and UAV, respectively. Observations using the UAV could measure the dense plume and quantify the gas species of H2O, CO2, SO2, H2S, H2, HCl, and HF, while the observations using the Cessna could measure only the diluted plume and quantify CO2, SO2, H2S, and H2. The seven airborne observations enabled us to monitor variations in the volcanic gas composition. Over the observation period, the SO2/H2S ratio decreased from 10 to 1.9. The H2O/SO2 ratio, H2/SO2 ratio, and apparent equilibrium temperatures (AET) estimated using the volcanic gas composition increased after the 2014 eruption. The decrease in the SO2/H2S ratio might be attributed to changes in the pressure of degassing magma and interactions with the hydrothermal system. The airborne methods presented here highlight the utility of using light aircrafts to safely conduct volcanic gas measurements during periods of volcanic unrest when traditional ground-based methods are not possible. More... »

PAGES

7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00445-018-1262-9

DOI

http://dx.doi.org/10.1007/s00445-018-1262-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111439555


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0201", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Astronomical and Space Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kazahaya", 
        "givenName": "Ryunosuke", 
        "id": "sg:person.014573764143.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014573764143.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shinohara", 
        "givenName": "Hiroshi", 
        "id": "sg:person.015712030761.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015712030761.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Earthquake Research Institute, the University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohminato", 
        "givenName": "Takao", 
        "id": "sg:person.016635022405.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016635022405.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Earthquake Research Institute, the University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaneko", 
        "givenName": "Takayuki", 
        "id": "sg:person.015145220067.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015145220067.72"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00445-011-0463-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001379534", 
          "https://doi.org/10.1007/s00445-011-0463-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2011.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004825404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl024131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006069885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl024131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006069885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.5047/eps.2013.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006839978", 
          "https://doi.org/10.5047/eps.2013.03.005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01431160903559770", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007465754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0883-2927(87)90030-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008256417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0883-2927(87)90030-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008256417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jb005185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010503453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000gl008499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010694281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00445-005-0014-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011107027", 
          "https://doi.org/10.1007/s00445-005-0014-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00445-005-0014-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011107027", 
          "https://doi.org/10.1007/s00445-005-0014-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/93gl01065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013759610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0377-0273(94)90055-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014185210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0377-0273(94)90055-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014185210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jb005094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016324406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/351387a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019901653", 
          "https://doi.org/10.1038/351387a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95gl01657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021080245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-0273(02)00356-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022888228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl023207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023511762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl023207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023511762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40623-016-0418-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028008921", 
          "https://doi.org/10.1186/s40623-016-0418-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40623-016-0418-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028008921", 
          "https://doi.org/10.1186/s40623-016-0418-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/eg12087", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028922180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2016gl070727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028927832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05509", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030697086", 
          "https://doi.org/10.1038/nature05509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05509", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030697086", 
          "https://doi.org/10.1038/nature05509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ggge.20255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031838429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2016jb013150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032017961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0883-2927(91)90024-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033411635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0883-2927(91)90024-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033411635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.5047/eps.2012.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035661588", 
          "https://doi.org/10.5047/eps.2012.11.001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2010.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036551942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2014.03.067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037456006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2343/geochemj.27.305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038535045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2004.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042431758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1144/sp380.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042474776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/96jb03887", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046048034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007gl032508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046602496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2016.06.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047995898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002gl016105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048150857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-0273(99)00161-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048538744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1141900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062455987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781139029346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098731771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/amt-11-2441-2018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103654812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/amt-11-2441-2018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103654812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40623-018-0855-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104103828", 
          "https://doi.org/10.1186/s40623-018-0855-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40623-018-0855-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104103828", 
          "https://doi.org/10.1186/s40623-018-0855-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2018jb015655", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105328690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2328/jnds.37.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110489897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2328/jnds.37.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110489897"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "Airborne measurements of volcanic gas composition using an unmanned aerial vehicle (UAV) and Cessna aircraft were conducted at Kuchinoerabujima volcano, Japan, between 2014 and 2016. Because eruptions occurred in August 2014, May 2015, and June 2015, access to the summit crater was limited because of the risk of sudden eruption such that airborne measurements were the only viable method to measure the volcanic gas composition. Multi-GAS and alkali-filter pack measurements were made on the leeward side of the crater and around the crater, using the Cessna and UAV, respectively. Observations using the UAV could measure the dense plume and quantify the gas species of H2O, CO2, SO2, H2S, H2, HCl, and HF, while the observations using the Cessna could measure only the diluted plume and quantify CO2, SO2, H2S, and H2. The seven airborne observations enabled us to monitor variations in the volcanic gas composition. Over the observation period, the SO2/H2S ratio decreased from 10 to 1.9. The H2O/SO2 ratio, H2/SO2 ratio, and apparent equilibrium temperatures (AET) estimated using the volcanic gas composition increased after the 2014 eruption. The decrease in the SO2/H2S ratio might be attributed to changes in the pressure of degassing magma and interactions with the hydrothermal system. The airborne methods presented here highlight the utility of using light aircrafts to safely conduct volcanic gas measurements during periods of volcanic unrest when traditional ground-based methods are not possible.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00445-018-1262-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5906671", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6143898", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6843879", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1051922", 
        "issn": [
          "0258-8900", 
          "1432-0819"
        ], 
        "name": "Bulletin of Volcanology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "81"
      }
    ], 
    "name": "Airborne measurements of volcanic gas composition during unrest at Kuchinoerabujima volcano, Japan", 
    "pagination": "7", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d4c17ad5a56bb33b217ae96fc53e143c213f21b183f76f65f82c478b2d0428a8"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00445-018-1262-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111439555"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00445-018-1262-9", 
      "https://app.dimensions.ai/details/publication/pub.1111439555"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:41", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000320_0000000320/records_101401_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00445-018-1262-9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00445-018-1262-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00445-018-1262-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00445-018-1262-9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00445-018-1262-9'


 

This table displays all metadata directly associated to this object as RDF triples.

219 TRIPLES      21 PREDICATES      67 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00445-018-1262-9 schema:about anzsrc-for:02
2 anzsrc-for:0201
3 schema:author Nbd14a02939ac461ea4e368976d90a5ce
4 schema:citation sg:pub.10.1007/s00445-005-0014-9
5 sg:pub.10.1007/s00445-011-0463-2
6 sg:pub.10.1038/351387a0
7 sg:pub.10.1038/nature05509
8 sg:pub.10.1186/s40623-016-0418-0
9 sg:pub.10.1186/s40623-018-0855-z
10 sg:pub.10.5047/eps.2012.11.001
11 sg:pub.10.5047/eps.2013.03.005
12 https://doi.org/10.1002/2016gl070727
13 https://doi.org/10.1002/2016jb013150
14 https://doi.org/10.1002/ggge.20255
15 https://doi.org/10.1016/0377-0273(94)90055-8
16 https://doi.org/10.1016/0883-2927(87)90030-8
17 https://doi.org/10.1016/0883-2927(91)90024-j
18 https://doi.org/10.1016/j.atmosenv.2014.03.067
19 https://doi.org/10.1016/j.jvolgeores.2004.12.004
20 https://doi.org/10.1016/j.jvolgeores.2010.01.008
21 https://doi.org/10.1016/j.jvolgeores.2011.01.011
22 https://doi.org/10.1016/j.jvolgeores.2016.06.023
23 https://doi.org/10.1016/s0377-0273(02)00356-6
24 https://doi.org/10.1016/s0377-0273(99)00161-4
25 https://doi.org/10.1017/cbo9781139029346
26 https://doi.org/10.1029/2000gl008499
27 https://doi.org/10.1029/2002gl016105
28 https://doi.org/10.1029/2005gl023207
29 https://doi.org/10.1029/2005gl024131
30 https://doi.org/10.1029/2007gl032508
31 https://doi.org/10.1029/2007jb005094
32 https://doi.org/10.1029/2007jb005185
33 https://doi.org/10.1029/2018jb015655
34 https://doi.org/10.1029/93gl01065
35 https://doi.org/10.1029/95gl01657
36 https://doi.org/10.1029/96jb03887
37 https://doi.org/10.1071/eg12087
38 https://doi.org/10.1080/01431160903559770
39 https://doi.org/10.1126/science.1141900
40 https://doi.org/10.1144/sp380.13
41 https://doi.org/10.2328/jnds.37.67
42 https://doi.org/10.2343/geochemj.27.305
43 https://doi.org/10.5194/amt-11-2441-2018
44 schema:datePublished 2019-02
45 schema:datePublishedReg 2019-02-01
46 schema:description Airborne measurements of volcanic gas composition using an unmanned aerial vehicle (UAV) and Cessna aircraft were conducted at Kuchinoerabujima volcano, Japan, between 2014 and 2016. Because eruptions occurred in August 2014, May 2015, and June 2015, access to the summit crater was limited because of the risk of sudden eruption such that airborne measurements were the only viable method to measure the volcanic gas composition. Multi-GAS and alkali-filter pack measurements were made on the leeward side of the crater and around the crater, using the Cessna and UAV, respectively. Observations using the UAV could measure the dense plume and quantify the gas species of H2O, CO2, SO2, H2S, H2, HCl, and HF, while the observations using the Cessna could measure only the diluted plume and quantify CO2, SO2, H2S, and H2. The seven airborne observations enabled us to monitor variations in the volcanic gas composition. Over the observation period, the SO2/H2S ratio decreased from 10 to 1.9. The H2O/SO2 ratio, H2/SO2 ratio, and apparent equilibrium temperatures (AET) estimated using the volcanic gas composition increased after the 2014 eruption. The decrease in the SO2/H2S ratio might be attributed to changes in the pressure of degassing magma and interactions with the hydrothermal system. The airborne methods presented here highlight the utility of using light aircrafts to safely conduct volcanic gas measurements during periods of volcanic unrest when traditional ground-based methods are not possible.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf Nc9cc6f1385d94d3d92675873e5e9157a
51 Nf5e38431350c4acb8ab3c0f9b83bc1db
52 sg:journal.1051922
53 schema:name Airborne measurements of volcanic gas composition during unrest at Kuchinoerabujima volcano, Japan
54 schema:pagination 7
55 schema:productId N1a0dd3f62ebd42c29dc064fcb37ae667
56 Ncb9f93532771439cbc18067ced4c7898
57 Nea88a948fcf043e1bb9cbfb11b8bc70d
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111439555
59 https://doi.org/10.1007/s00445-018-1262-9
60 schema:sdDatePublished 2019-04-11T08:41
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N9f331085de834fc1b7f63886acf02e2b
63 schema:url https://link.springer.com/10.1007%2Fs00445-018-1262-9
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N1a0dd3f62ebd42c29dc064fcb37ae667 schema:name dimensions_id
68 schema:value pub.1111439555
69 rdf:type schema:PropertyValue
70 N61884e97b76b4e4a8632be1f9f5667be rdf:first sg:person.016635022405.24
71 rdf:rest Nafdc439a36fd472ea643ce78255be908
72 N982981b73bd449cfbd202a6b1631c01c rdf:first sg:person.015712030761.23
73 rdf:rest N61884e97b76b4e4a8632be1f9f5667be
74 N9f331085de834fc1b7f63886acf02e2b schema:name Springer Nature - SN SciGraph project
75 rdf:type schema:Organization
76 Nafdc439a36fd472ea643ce78255be908 rdf:first sg:person.015145220067.72
77 rdf:rest rdf:nil
78 Nbd14a02939ac461ea4e368976d90a5ce rdf:first sg:person.014573764143.93
79 rdf:rest N982981b73bd449cfbd202a6b1631c01c
80 Nc9cc6f1385d94d3d92675873e5e9157a schema:volumeNumber 81
81 rdf:type schema:PublicationVolume
82 Ncb9f93532771439cbc18067ced4c7898 schema:name readcube_id
83 schema:value d4c17ad5a56bb33b217ae96fc53e143c213f21b183f76f65f82c478b2d0428a8
84 rdf:type schema:PropertyValue
85 Nea88a948fcf043e1bb9cbfb11b8bc70d schema:name doi
86 schema:value 10.1007/s00445-018-1262-9
87 rdf:type schema:PropertyValue
88 Nf5e38431350c4acb8ab3c0f9b83bc1db schema:issueNumber 2
89 rdf:type schema:PublicationIssue
90 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
91 schema:name Physical Sciences
92 rdf:type schema:DefinedTerm
93 anzsrc-for:0201 schema:inDefinedTermSet anzsrc-for:
94 schema:name Astronomical and Space Sciences
95 rdf:type schema:DefinedTerm
96 sg:grant.5906671 http://pending.schema.org/fundedItem sg:pub.10.1007/s00445-018-1262-9
97 rdf:type schema:MonetaryGrant
98 sg:grant.6143898 http://pending.schema.org/fundedItem sg:pub.10.1007/s00445-018-1262-9
99 rdf:type schema:MonetaryGrant
100 sg:grant.6843879 http://pending.schema.org/fundedItem sg:pub.10.1007/s00445-018-1262-9
101 rdf:type schema:MonetaryGrant
102 sg:journal.1051922 schema:issn 0258-8900
103 1432-0819
104 schema:name Bulletin of Volcanology
105 rdf:type schema:Periodical
106 sg:person.014573764143.93 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
107 schema:familyName Kazahaya
108 schema:givenName Ryunosuke
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014573764143.93
110 rdf:type schema:Person
111 sg:person.015145220067.72 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
112 schema:familyName Kaneko
113 schema:givenName Takayuki
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015145220067.72
115 rdf:type schema:Person
116 sg:person.015712030761.23 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
117 schema:familyName Shinohara
118 schema:givenName Hiroshi
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015712030761.23
120 rdf:type schema:Person
121 sg:person.016635022405.24 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
122 schema:familyName Ohminato
123 schema:givenName Takao
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016635022405.24
125 rdf:type schema:Person
126 sg:pub.10.1007/s00445-005-0014-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011107027
127 https://doi.org/10.1007/s00445-005-0014-9
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s00445-011-0463-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001379534
130 https://doi.org/10.1007/s00445-011-0463-2
131 rdf:type schema:CreativeWork
132 sg:pub.10.1038/351387a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019901653
133 https://doi.org/10.1038/351387a0
134 rdf:type schema:CreativeWork
135 sg:pub.10.1038/nature05509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030697086
136 https://doi.org/10.1038/nature05509
137 rdf:type schema:CreativeWork
138 sg:pub.10.1186/s40623-016-0418-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028008921
139 https://doi.org/10.1186/s40623-016-0418-0
140 rdf:type schema:CreativeWork
141 sg:pub.10.1186/s40623-018-0855-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1104103828
142 https://doi.org/10.1186/s40623-018-0855-z
143 rdf:type schema:CreativeWork
144 sg:pub.10.5047/eps.2012.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035661588
145 https://doi.org/10.5047/eps.2012.11.001
146 rdf:type schema:CreativeWork
147 sg:pub.10.5047/eps.2013.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006839978
148 https://doi.org/10.5047/eps.2013.03.005
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1002/2016gl070727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028927832
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1002/2016jb013150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032017961
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1002/ggge.20255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031838429
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/0377-0273(94)90055-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014185210
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/0883-2927(87)90030-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008256417
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/0883-2927(91)90024-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1033411635
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.atmosenv.2014.03.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037456006
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.jvolgeores.2004.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042431758
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.jvolgeores.2010.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036551942
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.jvolgeores.2011.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004825404
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.jvolgeores.2016.06.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047995898
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s0377-0273(02)00356-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022888228
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/s0377-0273(99)00161-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048538744
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1017/cbo9781139029346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098731771
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1029/2000gl008499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010694281
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1029/2002gl016105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048150857
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1029/2005gl023207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023511762
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1029/2005gl024131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006069885
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1029/2007gl032508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046602496
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1029/2007jb005094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016324406
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1029/2007jb005185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010503453
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1029/2018jb015655 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105328690
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1029/93gl01065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013759610
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1029/95gl01657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021080245
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1029/96jb03887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046048034
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1071/eg12087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028922180
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1080/01431160903559770 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007465754
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1126/science.1141900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062455987
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1144/sp380.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042474776
207 rdf:type schema:CreativeWork
208 https://doi.org/10.2328/jnds.37.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110489897
209 rdf:type schema:CreativeWork
210 https://doi.org/10.2343/geochemj.27.305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038535045
211 rdf:type schema:CreativeWork
212 https://doi.org/10.5194/amt-11-2441-2018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103654812
213 rdf:type schema:CreativeWork
214 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
215 schema:name Earthquake Research Institute, the University of Tokyo, Tokyo, Japan
216 rdf:type schema:Organization
217 https://www.grid.ac/institutes/grid.466781.a schema:alternateName Geological Survey of Japan
218 schema:name Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
219 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...