Serveur d'exploration Nissiros

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release

Identifieur interne : 000021 ( Istex/Corpus ); précédent : 000020; suivant : 000022

Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release

Auteurs : C. Cardellini ; G. Chiodini ; F. Frondini

Source :

RBID : ISTEX:69982DA8CAACB55B0736768C716704AF5CB05927

English descriptors

Abstract

Conditional sequential Gaussian simulations (sGs) have been applied for the first time to the study of soil diffuse degassing from different volcanic and nonvolcanic systems. The application regards five data sets of soil CO2 fluxes measured with the accumulation chamber methodology at the volcanic areas of Solfatara of Pozzuoli (Italy), Vesuvio cone (Italy), Nisyros (Greece), and Horseshoe Lake (California) and at the nonvolcanic degassing area of Poggio dell'Olivo (Italy). The sGs algorithm was used to generate 100 realizations of CO2 flux for each area. Probabilistic summaries of these simulations, together with the information given by probability plots, were used (1) to draw maps of the probability that CO2 fluxes exceed thresholds specific for a background flux, i.e., to define the probable extension of the degassing structures, (2) to calculate the total CO2 output, and (3) to quantify the uncertainty of the estimation. The results show that the sGs is a suitable tool to model soil diffuse degassing, producing realistic images of the distribution of the CO2 fluxes that honor the histogram and variogram of the original data. Moreover, the relation between the sample design and the uncertainty of estimation was investigated leading to an empirical relation between uncertainty and the sampling density that can be useful for the planning of future CO2 flux surveys.

Url:
DOI: 10.1029/2002JB002165

Links to Exploration step

ISTEX:69982DA8CAACB55B0736768C716704AF5CB05927

Le document en format XML

<record>
<TEI wicri:istexFullTextTei="biblStruct">
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release</title>
<author>
<name sortKey="Cardellini, C" sort="Cardellini, C" uniqKey="Cardellini C" first="C." last="Cardellini">C. Cardellini</name>
<affiliation>
<mods:affiliation>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>E-mail: geochem@unipg.it</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Chiodini, G" sort="Chiodini, G" uniqKey="Chiodini G" first="G." last="Chiodini">G. Chiodini</name>
<affiliation>
<mods:affiliation>Osservatorio Vesuviano, Istituto Nazionale di Geofisica e Vulcanologia, Naples, Italy</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Frondini, F" sort="Frondini, F" uniqKey="Frondini F" first="F." last="Frondini">F. Frondini</name>
<affiliation>
<mods:affiliation>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</mods:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:69982DA8CAACB55B0736768C716704AF5CB05927</idno>
<date when="2003" year="2003">2003</date>
<idno type="doi">10.1029/2002JB002165</idno>
<idno type="url">https://api.istex.fr/document/69982DA8CAACB55B0736768C716704AF5CB05927/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000021</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000021</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title level="a" type="main">Application of stochastic simulation to CO
<hi rend="subscript">2</hi>
flux from soil: Mapping and quantification of gas release</title>
<author>
<name sortKey="Cardellini, C" sort="Cardellini, C" uniqKey="Cardellini C" first="C." last="Cardellini">C. Cardellini</name>
<affiliation>
<mods:affiliation>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>E-mail: geochem@unipg.it</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Chiodini, G" sort="Chiodini, G" uniqKey="Chiodini G" first="G." last="Chiodini">G. Chiodini</name>
<affiliation>
<mods:affiliation>Osservatorio Vesuviano, Istituto Nazionale di Geofisica e Vulcanologia, Naples, Italy</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Frondini, F" sort="Frondini, F" uniqKey="Frondini F" first="F." last="Frondini">F. Frondini</name>
<affiliation>
<mods:affiliation>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</mods:affiliation>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series>
<title level="j" type="main">Journal of Geophysical Research: Solid Earth</title>
<title level="j" type="alt">JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH</title>
<idno type="ISSN">0148-0227</idno>
<idno type="eISSN">2156-2202</idno>
<imprint>
<biblScope unit="vol">108</biblScope>
<biblScope unit="issue">B9</biblScope>
<biblScope unit="page-count">13</biblScope>
<date type="published" when="2003-09">2003-09</date>
</imprint>
<idno type="ISSN">0148-0227</idno>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<idno type="ISSN">0148-0227</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Accumulation chamber methodology</term>
<term>Active volcanoes</term>
<term>Algorithm</term>
<term>Background population</term>
<term>Bimodal distributions</term>
<term>Biological activity</term>
<term>Caldera</term>
<term>Carbon dioxide</term>
<term>Cardellini</term>
<term>Characteristic values</term>
<term>Chem</term>
<term>Chiodini</term>
<term>Conditioning data</term>
<term>Confidence interval</term>
<term>Cumulative distribution</term>
<term>Cumulative distribution function</term>
<term>Cutoff values</term>
<term>Data sets</term>
<term>Degassing</term>
<term>Degassing process</term>
<term>Degassing processes</term>
<term>Degassing structures</term>
<term>Deutsch</term>
<term>Different areas</term>
<term>Diffuse</term>
<term>Diffuse degassing</term>
<term>Diffuse degassing structures</term>
<term>Diffuse emission</term>
<term>Earth planet</term>
<term>Empirical relation</term>
<term>Equiprobable realizations</term>
<term>Ergodic fluctuations</term>
<term>Estimation</term>
<term>Fluctuation</term>
<term>Flux data</term>
<term>Flux figure</term>
<term>Flux maps</term>
<term>Flux population</term>
<term>Flux survey</term>
<term>Flux surveys</term>
<term>Flux table</term>
<term>Flux value</term>
<term>Flux values</term>
<term>Flux variogram</term>
<term>Frondini</term>
<term>Gaussian</term>
<term>Geol</term>
<term>Geophys</term>
<term>Geothermal areas</term>
<term>Goovaerts</term>
<term>Grid</term>
<term>Grid cell</term>
<term>Grid nodes</term>
<term>Ground water</term>
<term>Histogram</term>
<term>Horseshoe</term>
<term>Horseshoe lake</term>
<term>Hydrothermal</term>
<term>Inflection point</term>
<term>Istok</term>
<term>Journel</term>
<term>Kriging</term>
<term>Logarithmic probability plots</term>
<term>Lognormal populations</term>
<term>Lower tail</term>
<term>Mammoth mountain</term>
<term>Many factors</term>
<term>Nisyros</term>
<term>Nisyros caldera</term>
<term>Normal scores</term>
<term>Nugget effect</term>
<term>Original data</term>
<term>Original data limits</term>
<term>Original sample statistics</term>
<term>Original samples</term>
<term>Original values</term>
<term>Oxford univ</term>
<term>Poggio</term>
<term>Point support</term>
<term>Pozzuoli</term>
<term>Pozzuoli vesuvio cone poggio nisyros caldera horseshoe lake</term>
<term>Probabilistic assessment</term>
<term>Probability maps</term>
<term>Probability plot</term>
<term>Probability plots</term>
<term>Quantification</term>
<term>Rautman</term>
<term>Reliable estimation</term>
<term>Sample statistics</term>
<term>Sampling design</term>
<term>Scienze della</term>
<term>Semivariogram model</term>
<term>Sequential gaussian simulation</term>
<term>Simple kriging estimate</term>
<term>Simulation</term>
<term>Simulation procedure</term>
<term>Soil science</term>
<term>Solfatara</term>
<term>Spatial variability</term>
<term>Specific threshold</term>
<term>Standard deviation</term>
<term>Stochastic</term>
<term>Stochastic simulation</term>
<term>Study area</term>
<term>Study areas</term>
<term>Suitable sampling density</term>
<term>Threshold values</term>
<term>Total amount</term>
<term>Unsampled locations</term>
<term>Upper tail</term>
<term>Useful tool</term>
<term>Variogram</term>
<term>Variograms</term>
<term>Vesuvio</term>
<term>Vesuvio cone</term>
<term>Volcanic</term>
<term>Volcanic areas</term>
<term>Volcanic degassing</term>
<term>Volcanic surveillance</term>
<term>Volcano</term>
<term>Wide range</term>
</keywords>
<keywords scheme="Teeft" xml:lang="en">
<term>Accumulation chamber methodology</term>
<term>Active volcanoes</term>
<term>Algorithm</term>
<term>Background population</term>
<term>Bimodal distributions</term>
<term>Biological activity</term>
<term>Caldera</term>
<term>Carbon dioxide</term>
<term>Cardellini</term>
<term>Characteristic values</term>
<term>Chem</term>
<term>Chiodini</term>
<term>Conditioning data</term>
<term>Confidence interval</term>
<term>Cumulative distribution</term>
<term>Cumulative distribution function</term>
<term>Cutoff values</term>
<term>Data sets</term>
<term>Degassing</term>
<term>Degassing process</term>
<term>Degassing processes</term>
<term>Degassing structures</term>
<term>Deutsch</term>
<term>Different areas</term>
<term>Diffuse</term>
<term>Diffuse degassing</term>
<term>Diffuse degassing structures</term>
<term>Diffuse emission</term>
<term>Earth planet</term>
<term>Empirical relation</term>
<term>Equiprobable realizations</term>
<term>Ergodic fluctuations</term>
<term>Estimation</term>
<term>Fluctuation</term>
<term>Flux data</term>
<term>Flux figure</term>
<term>Flux maps</term>
<term>Flux population</term>
<term>Flux survey</term>
<term>Flux surveys</term>
<term>Flux table</term>
<term>Flux value</term>
<term>Flux values</term>
<term>Flux variogram</term>
<term>Frondini</term>
<term>Gaussian</term>
<term>Geol</term>
<term>Geophys</term>
<term>Geothermal areas</term>
<term>Goovaerts</term>
<term>Grid</term>
<term>Grid cell</term>
<term>Grid nodes</term>
<term>Ground water</term>
<term>Histogram</term>
<term>Horseshoe</term>
<term>Horseshoe lake</term>
<term>Hydrothermal</term>
<term>Inflection point</term>
<term>Istok</term>
<term>Journel</term>
<term>Kriging</term>
<term>Logarithmic probability plots</term>
<term>Lognormal populations</term>
<term>Lower tail</term>
<term>Mammoth mountain</term>
<term>Many factors</term>
<term>Nisyros</term>
<term>Nisyros caldera</term>
<term>Normal scores</term>
<term>Nugget effect</term>
<term>Original data</term>
<term>Original data limits</term>
<term>Original sample statistics</term>
<term>Original samples</term>
<term>Original values</term>
<term>Oxford univ</term>
<term>Poggio</term>
<term>Point support</term>
<term>Pozzuoli</term>
<term>Pozzuoli vesuvio cone poggio nisyros caldera horseshoe lake</term>
<term>Probabilistic assessment</term>
<term>Probability maps</term>
<term>Probability plot</term>
<term>Probability plots</term>
<term>Quantification</term>
<term>Rautman</term>
<term>Reliable estimation</term>
<term>Sample statistics</term>
<term>Sampling design</term>
<term>Scienze della</term>
<term>Semivariogram model</term>
<term>Sequential gaussian simulation</term>
<term>Simple kriging estimate</term>
<term>Simulation</term>
<term>Simulation procedure</term>
<term>Soil science</term>
<term>Solfatara</term>
<term>Spatial variability</term>
<term>Specific threshold</term>
<term>Standard deviation</term>
<term>Stochastic</term>
<term>Stochastic simulation</term>
<term>Study area</term>
<term>Study areas</term>
<term>Suitable sampling density</term>
<term>Threshold values</term>
<term>Total amount</term>
<term>Unsampled locations</term>
<term>Upper tail</term>
<term>Useful tool</term>
<term>Variogram</term>
<term>Variograms</term>
<term>Vesuvio</term>
<term>Vesuvio cone</term>
<term>Volcanic</term>
<term>Volcanic areas</term>
<term>Volcanic degassing</term>
<term>Volcanic surveillance</term>
<term>Volcano</term>
<term>Wide range</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract">Conditional sequential Gaussian simulations (sGs) have been applied for the first time to the study of soil diffuse degassing from different volcanic and nonvolcanic systems. The application regards five data sets of soil CO2 fluxes measured with the accumulation chamber methodology at the volcanic areas of Solfatara of Pozzuoli (Italy), Vesuvio cone (Italy), Nisyros (Greece), and Horseshoe Lake (California) and at the nonvolcanic degassing area of Poggio dell'Olivo (Italy). The sGs algorithm was used to generate 100 realizations of CO2 flux for each area. Probabilistic summaries of these simulations, together with the information given by probability plots, were used (1) to draw maps of the probability that CO2 fluxes exceed thresholds specific for a background flux, i.e., to define the probable extension of the degassing structures, (2) to calculate the total CO2 output, and (3) to quantify the uncertainty of the estimation. The results show that the sGs is a suitable tool to model soil diffuse degassing, producing realistic images of the distribution of the CO2 fluxes that honor the histogram and variogram of the original data. Moreover, the relation between the sample design and the uncertainty of estimation was investigated leading to an empirical relation between uncertainty and the sampling density that can be useful for the planning of future CO2 flux surveys.</div>
</front>
</TEI>
<istex>
<corpusName>wiley</corpusName>
<keywords>
<teeft>
<json:string>degassing</json:string>
<json:string>nisyros</json:string>
<json:string>solfatara</json:string>
<json:string>horseshoe</json:string>
<json:string>chiodini</json:string>
<json:string>poggio</json:string>
<json:string>pozzuoli</json:string>
<json:string>cardellini</json:string>
<json:string>caldera</json:string>
<json:string>horseshoe lake</json:string>
<json:string>variogram</json:string>
<json:string>grid</json:string>
<json:string>journel</json:string>
<json:string>hydrothermal</json:string>
<json:string>simulation</json:string>
<json:string>goovaerts</json:string>
<json:string>vesuvio</json:string>
<json:string>standard deviation</json:string>
<json:string>normal scores</json:string>
<json:string>vesuvio cone</json:string>
<json:string>original data</json:string>
<json:string>nisyros caldera</json:string>
<json:string>quantification</json:string>
<json:string>stochastic simulation</json:string>
<json:string>kriging</json:string>
<json:string>variograms</json:string>
<json:string>geol</json:string>
<json:string>rautman</json:string>
<json:string>istok</json:string>
<json:string>histogram</json:string>
<json:string>chem</json:string>
<json:string>geophys</json:string>
<json:string>fluctuation</json:string>
<json:string>frondini</json:string>
<json:string>study area</json:string>
<json:string>deutsch</json:string>
<json:string>stochastic</json:string>
<json:string>confidence interval</json:string>
<json:string>flux values</json:string>
<json:string>conditioning data</json:string>
<json:string>diffuse degassing structures</json:string>
<json:string>lower tail</json:string>
<json:string>algorithm</json:string>
<json:string>ergodic fluctuations</json:string>
<json:string>cumulative distribution function</json:string>
<json:string>soil science</json:string>
<json:string>sampling design</json:string>
<json:string>probability plots</json:string>
<json:string>degassing processes</json:string>
<json:string>degassing structures</json:string>
<json:string>inflection point</json:string>
<json:string>empirical relation</json:string>
<json:string>probability plot</json:string>
<json:string>useful tool</json:string>
<json:string>flux data</json:string>
<json:string>simulation procedure</json:string>
<json:string>upper tail</json:string>
<json:string>flux table</json:string>
<json:string>oxford univ</json:string>
<json:string>biological activity</json:string>
<json:string>background population</json:string>
<json:string>diffuse degassing</json:string>
<json:string>sequential gaussian simulation</json:string>
<json:string>cumulative distribution</json:string>
<json:string>diffuse emission</json:string>
<json:string>flux figure</json:string>
<json:string>probability maps</json:string>
<json:string>different areas</json:string>
<json:string>suitable sampling density</json:string>
<json:string>scienze della</json:string>
<json:string>mammoth mountain</json:string>
<json:string>gaussian</json:string>
<json:string>volcanic</json:string>
<json:string>diffuse</json:string>
<json:string>simple kriging estimate</json:string>
<json:string>earth planet</json:string>
<json:string>study areas</json:string>
<json:string>original data limits</json:string>
<json:string>grid nodes</json:string>
<json:string>equiprobable realizations</json:string>
<json:string>wide range</json:string>
<json:string>pozzuoli vesuvio cone poggio nisyros caldera horseshoe lake</json:string>
<json:string>point support</json:string>
<json:string>ground water</json:string>
<json:string>unsampled locations</json:string>
<json:string>spatial variability</json:string>
<json:string>accumulation chamber methodology</json:string>
<json:string>nugget effect</json:string>
<json:string>logarithmic probability plots</json:string>
<json:string>original sample statistics</json:string>
<json:string>lognormal populations</json:string>
<json:string>sample statistics</json:string>
<json:string>flux value</json:string>
<json:string>cutoff values</json:string>
<json:string>degassing process</json:string>
<json:string>total amount</json:string>
<json:string>active volcanoes</json:string>
<json:string>grid cell</json:string>
<json:string>characteristic values</json:string>
<json:string>flux population</json:string>
<json:string>volcanic degassing</json:string>
<json:string>specific threshold</json:string>
<json:string>many factors</json:string>
<json:string>flux surveys</json:string>
<json:string>data sets</json:string>
<json:string>flux variogram</json:string>
<json:string>original samples</json:string>
<json:string>flux survey</json:string>
<json:string>reliable estimation</json:string>
<json:string>flux maps</json:string>
<json:string>threshold values</json:string>
<json:string>geothermal areas</json:string>
<json:string>volcanic surveillance</json:string>
<json:string>semivariogram model</json:string>
<json:string>volcanic areas</json:string>
<json:string>original values</json:string>
<json:string>probabilistic assessment</json:string>
<json:string>carbon dioxide</json:string>
<json:string>bimodal distributions</json:string>
<json:string>volcano</json:string>
<json:string>estimation</json:string>
</teeft>
</keywords>
<author>
<json:item>
<name>C. Cardellini</name>
<affiliations>
<json:string>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</json:string>
<json:string>E-mail: geochem@unipg.it</json:string>
</affiliations>
</json:item>
<json:item>
<name>G. Chiodini</name>
<affiliations>
<json:string>Osservatorio Vesuviano, Istituto Nazionale di Geofisica e Vulcanologia, Naples, Italy</json:string>
</affiliations>
</json:item>
<json:item>
<name>F. Frondini</name>
<affiliations>
<json:string>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</json:string>
</affiliations>
</json:item>
</author>
<subject>
<json:item>
<lang>
<json:string>eng</json:string>
</lang>
<value>CO2 flux</value>
</json:item>
<json:item>
<lang>
<json:string>eng</json:string>
</lang>
<value>stochastic simulation</value>
</json:item>
<json:item>
<lang>
<json:string>eng</json:string>
</lang>
<value>volcanic degassing</value>
</json:item>
<json:item>
<lang>
<json:string>eng</json:string>
</lang>
<value>diffuse degassing</value>
</json:item>
</subject>
<articleId>
<json:string>2002JB002165</json:string>
</articleId>
<language>
<json:string>eng</json:string>
</language>
<originalGenre>
<json:string>article</json:string>
</originalGenre>
<abstract>Conditional sequential Gaussian simulations (sGs) have been applied for the first time to the study of soil diffuse degassing from different volcanic and nonvolcanic systems. The application regards five data sets of soil CO2 fluxes measured with the accumulation chamber methodology at the volcanic areas of Solfatara of Pozzuoli (Italy), Vesuvio cone (Italy), Nisyros (Greece), and Horseshoe Lake (California) and at the nonvolcanic degassing area of Poggio dell'Olivo (Italy). The sGs algorithm was used to generate 100 realizations of CO2 flux for each area. Probabilistic summaries of these simulations, together with the information given by probability plots, were used (1) to draw maps of the probability that CO2 fluxes exceed thresholds specific for a background flux, i.e., to define the probable extension of the degassing structures, (2) to calculate the total CO2 output, and (3) to quantify the uncertainty of the estimation. The results show that the sGs is a suitable tool to model soil diffuse degassing, producing realistic images of the distribution of the CO2 fluxes that honor the histogram and variogram of the original data. Moreover, the relation between the sample design and the uncertainty of estimation was investigated leading to an empirical relation between uncertainty and the sampling density that can be useful for the planning of future CO2 flux surveys.</abstract>
<qualityIndicators>
<score>7.568</score>
<pdfVersion>1.3</pdfVersion>
<pdfPageSize>592 x 807 pts</pdfPageSize>
<refBibsNative>true</refBibsNative>
<abstractCharCount>1390</abstractCharCount>
<pdfWordCount>6822</pdfWordCount>
<pdfCharCount>40983</pdfCharCount>
<pdfPageCount>13</pdfPageCount>
<abstractWordCount>214</abstractWordCount>
</qualityIndicators>
<title>Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release</title>
<genre>
<json:string>article</json:string>
</genre>
<host>
<title>Journal of Geophysical Research: Solid Earth</title>
<language>
<json:string>unknown</json:string>
</language>
<doi>
<json:string>10.1002/(ISSN)2156-2202b</json:string>
</doi>
<issn>
<json:string>0148-0227</json:string>
</issn>
<eissn>
<json:string>2156-2202</json:string>
</eissn>
<publisherId>
<json:string>JGRB</json:string>
</publisherId>
<volume>108</volume>
<issue>B9</issue>
<pages>
<first>n/a</first>
<last>n/a</last>
<total>13</total>
</pages>
<genre>
<json:string>journal</json:string>
</genre>
<subject>
<json:item>
<value>Chemistry and Physics of Minerals and Rocks/Volcanology</value>
</json:item>
<json:item>
<value>BIOGEOSCIENCES</value>
</json:item>
<json:item>
<value>Hydrothermal systems</value>
</json:item>
<json:item>
<value>GEOCHEMISTRY</value>
</json:item>
<json:item>
<value>General or miscellaneous</value>
</json:item>
<json:item>
<value>Instruments and techniques</value>
</json:item>
<json:item>
<value>Hydrothermal systems</value>
</json:item>
<json:item>
<value>MARINE GEOLOGY AND GEOPHYSICS</value>
</json:item>
<json:item>
<value>Hydrothermal systems</value>
</json:item>
<json:item>
<value>MINERALOGY AND PETROLOGY</value>
</json:item>
<json:item>
<value>Hydrothermal systems</value>
</json:item>
<json:item>
<value>OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL</value>
</json:item>
<json:item>
<value>Hydrothermal systems</value>
</json:item>
<json:item>
<value>TECTONOPHYSICS</value>
</json:item>
<json:item>
<value>Hydrothermal systems</value>
</json:item>
<json:item>
<value>VOLCANOLOGY</value>
</json:item>
<json:item>
<value>Hydrothermal systems</value>
</json:item>
<json:item>
<value>Instruments and techniques</value>
</json:item>
<json:item>
<value>Chemistry and Physics of Minerals and Rocks/Volcanology</value>
</json:item>
</subject>
</host>
<categories>
<wos>
<json:string>science</json:string>
<json:string>geosciences, multidisciplinary</json:string>
</wos>
<scienceMetrix>
<json:string>natural sciences</json:string>
<json:string>earth & environmental sciences</json:string>
<json:string>meteorology & atmospheric sciences</json:string>
</scienceMetrix>
</categories>
<publicationDate>2003</publicationDate>
<copyrightDate>2003</copyrightDate>
<doi>
<json:string>10.1029/2002JB002165</json:string>
</doi>
<id>69982DA8CAACB55B0736768C716704AF5CB05927</id>
<score>1</score>
<fulltext>
<json:item>
<extension>pdf</extension>
<original>true</original>
<mimetype>application/pdf</mimetype>
<uri>https://api.istex.fr/document/69982DA8CAACB55B0736768C716704AF5CB05927/fulltext/pdf</uri>
</json:item>
<json:item>
<extension>zip</extension>
<original>false</original>
<mimetype>application/zip</mimetype>
<uri>https://api.istex.fr/document/69982DA8CAACB55B0736768C716704AF5CB05927/fulltext/zip</uri>
</json:item>
<istex:fulltextTEI uri="https://api.istex.fr/document/69982DA8CAACB55B0736768C716704AF5CB05927/fulltext/tei">
<teiHeader>
<fileDesc>
<titleStmt>
<title level="a" type="main">Application of stochastic simulation to CO
<hi rend="subscript">2</hi>
flux from soil: Mapping and quantification of gas release</title>
</titleStmt>
<publicationStmt>
<publisher>Blackwell Publishing Ltd</publisher>
<availability>
<licence>Copyright 2003 by the American Geophysical Union.</licence>
</availability>
<date type="published" when="2003-09"></date>
</publicationStmt>
<notesStmt>
<note type="content-type" subtype="article" source="article" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</note>
<note type="publication-type" subtype="journal" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</note>
</notesStmt>
<sourceDesc>
<biblStruct type="article">
<analytic>
<title level="a" type="main">Application of stochastic simulation to CO
<hi rend="subscript">2</hi>
flux from soil: Mapping and quantification of gas release</title>
<title level="a" type="short">SIMULATION OF SOIL CO2 FLUX</title>
<author xml:id="author-0000">
<persName>
<forename type="first">C.</forename>
<surname>Cardellini</surname>
</persName>
<email>geochem@unipg.it</email>
<affiliation>
<orgName>Dipartimento di Scienze della Terra</orgName>
<orgName>Università di Perugia</orgName>
<address>
<settlement type="city">Perugia</settlement>
<country key="IT">Italy</country>
</address>
</affiliation>
</author>
<author xml:id="author-0001">
<persName>
<forename type="first">G.</forename>
<surname>Chiodini</surname>
</persName>
<affiliation>
<orgName>Osservatorio Vesuviano</orgName>
<orgName>Istituto Nazionale di Geofisica e Vulcanologia</orgName>
<address>
<settlement type="city">Naples</settlement>
<country key="IT">Italy</country>
</address>
</affiliation>
</author>
<author xml:id="author-0002">
<persName>
<forename type="first">F.</forename>
<surname>Frondini</surname>
</persName>
<affiliation>
<orgName>Dipartimento di Scienze della Terra</orgName>
<orgName>Università di Perugia</orgName>
<address>
<settlement type="city">Perugia</settlement>
<country key="IT">Italy</country>
</address>
</affiliation>
</author>
<idno type="istex">69982DA8CAACB55B0736768C716704AF5CB05927</idno>
<idno type="DOI">10.1029/2002JB002165</idno>
<idno type="editorialOffice">2002JB002165</idno>
<idno type="society">2425</idno>
<idno type="unit">JGRB13622</idno>
<idno type="toTypesetVersion">file:JGRB.JGRB13622.pdf</idno>
</analytic>
<monogr>
<title level="j" type="main">Journal of Geophysical Research: Solid Earth</title>
<title level="j" type="alt">JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH</title>
<idno type="pISSN">0148-0227</idno>
<idno type="eISSN">2156-2202</idno>
<idno type="book-DOI">10.1002/(ISSN)2156-2202b</idno>
<idno type="book-part-DOI">10.1002/jgrb.v108.B9</idno>
<idno type="product">JGRB</idno>
<idno type="coden">JGREA2</idno>
<imprint>
<biblScope unit="vol">108</biblScope>
<biblScope unit="issue">B9</biblScope>
<biblScope unit="page-count">13</biblScope>
<date type="published" when="2003-09"></date>
</imprint>
</monogr>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<abstract style="main">
<p xml:id="jgrb13622-para-0001">Conditional sequential Gaussian simulations (sGs) have been applied for the first time to the study of soil diffuse degassing from different volcanic and nonvolcanic systems. The application regards five data sets of soil CO
<hi rend="subscript">2</hi>
fluxes measured with the accumulation chamber methodology at the volcanic areas of Solfatara of Pozzuoli (Italy), Vesuvio cone (Italy), Nisyros (Greece), and Horseshoe Lake (California) and at the nonvolcanic degassing area of Poggio dell'Olivo (Italy). The sGs algorithm was used to generate 100 realizations of CO
<hi rend="subscript">2</hi>
flux for each area. Probabilistic summaries of these simulations, together with the information given by probability plots, were used (1) to draw maps of the probability that CO
<hi rend="subscript">2</hi>
fluxes exceed thresholds specific for a background flux, i.e., to define the probable extension of the degassing structures, (2) to calculate the total CO
<hi rend="subscript">2</hi>
output, and (3) to quantify the uncertainty of the estimation. The results show that the sGs is a suitable tool to model soil diffuse degassing, producing realistic images of the distribution of the CO
<hi rend="subscript">2</hi>
fluxes that honor the histogram and variogram of the original data. Moreover, the relation between the sample design and the uncertainty of estimation was investigated leading to an empirical relation between uncertainty and the sampling density that can be useful for the planning of future CO
<hi rend="subscript">2</hi>
flux surveys.</p>
</abstract>
<textClass>
<keywords>
<term xml:id="jgrb13622-kwd-0001">CO
<hi rend="subscript">2</hi>
flux</term>
<term xml:id="jgrb13622-kwd-0002">stochastic simulation</term>
<term xml:id="jgrb13622-kwd-0003">volcanic degassing</term>
<term xml:id="jgrb13622-kwd-0004">diffuse degassing</term>
</keywords>
<classCode scheme="http://psi.agu.org/subset/ECV">Chemistry and Physics of Minerals and Rocks/Volcanology</classCode>
<classCode scheme="http://psi.agu.org/taxonomy5/0400">BIOGEOSCIENCES</classCode>
<classCode scheme="http://psi.agu.org/taxonomy5/1000">GEOCHEMISTRY</classCode>
<classCode scheme="http://psi.agu.org/taxonomy5/3000">MARINE GEOLOGY AND GEOPHYSICS</classCode>
<classCode scheme="http://psi.agu.org/taxonomy5/3600">MINERALOGY AND PETROLOGY</classCode>
<classCode scheme="http://psi.agu.org/taxonomy5/4800">OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL</classCode>
<classCode scheme="http://psi.agu.org/taxonomy5/8100">TECTONOPHYSICS</classCode>
<classCode scheme="http://psi.agu.org/taxonomy5/8400">VOLCANOLOGY</classCode>
<classCode scheme="articleCategory">Chemistry and Physics of Minerals and Rocks/Volcanology</classCode>
<classCode scheme="tocHeading1">Chemistry and Physics of Minerals and Rocks/Volcanology</classCode>
</textClass>
<langUsage>
<language ident="EN"></language>
</langUsage>
</profileDesc>
</teiHeader>
</istex:fulltextTEI>
<json:item>
<extension>txt</extension>
<original>false</original>
<mimetype>text/plain</mimetype>
<uri>https://api.istex.fr/document/69982DA8CAACB55B0736768C716704AF5CB05927/fulltext/txt</uri>
</json:item>
</fulltext>
<metadata>
<istex:metadataXml wicri:clean="Wiley, elements deleted: body">
<istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration>
<istex:document>
<component type="serialArticle" version="2.0" xml:lang="en" xml:id="jgrb13622">
<header>
<publicationMeta level="product">
<doi>10.1002/(ISSN)2156-2202b</doi>
<issn type="print">0148-0227</issn>
<issn type="electronic">2156-2202</issn>
<idGroup>
<id type="product" value="JGRB"></id>
<id type="coden" value="JGREA2"></id>
</idGroup>
<titleGroup>
<title type="main" xml:lang="en" sort="JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH">Journal of Geophysical Research: Solid Earth</title>
<title type="short">J. Geophys. Res.</title>
</titleGroup>
</publicationMeta>
<publicationMeta level="part" position="90">
<doi>10.1002/jgrb.v108.B9</doi>
<idGroup>
<id type="focusSection" value="2"></id>
</idGroup>
<titleGroup>
<title type="focusSection" xml:lang="en">Journal of Geophysical Research: Solid Earth</title>
</titleGroup>
<numberingGroup>
<numbering type="journalVolume" number="108">108</numbering>
<numbering type="journalIssue">B9</numbering>
</numberingGroup>
<coverDate startDate="2003-09">September 2003</coverDate>
</publicationMeta>
<publicationMeta level="unit" position="60" type="article" status="forIssue">
<doi>10.1029/2002JB002165</doi>
<idGroup>
<id type="editorialOffice" value="2002JB002165"></id>
<id type="society" value="2425"></id>
<id type="unit" value="JGRB13622"></id>
</idGroup>
<countGroup>
<count type="pageTotal" number="13"></count>
</countGroup>
<titleGroup>
<title type="articleCategory">Chemistry and Physics of Minerals and Rocks/Volcanology</title>
<title type="tocHeading1">Chemistry and Physics of Minerals and Rocks/Volcanology</title>
</titleGroup>
<copyright ownership="thirdParty">Copyright 2003 by the American Geophysical Union.</copyright>
<eventGroup>
<event type="manuscriptReceived" date="2002-08-22"></event>
<event type="manuscriptRevised" date="2003-04-01"></event>
<event type="manuscriptAccepted" date="2003-04-29"></event>
<event type="firstOnline" date="2003-09-13"></event>
<event type="publishedOnlineFinalForm" date="2003-09-13"></event>
<event type="xmlConverted" agent="SPi Global Converter:AGUv3.42_TO_WileyML3Gv1.0.3 version:1.2; WileyML 3G Packaging Tool v1.0" date="2012-11-28"></event>
<event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-31"></event>
<event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-30"></event>
</eventGroup>
<numberingGroup>
<numbering type="pageFirst">n/a</numbering>
<numbering type="pageLast">n/a</numbering>
</numberingGroup>
<subjectInfo>
<subject href="http://psi.agu.org/subset/ECV">Chemistry and Physics of Minerals and Rocks/Volcanology</subject>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/0400">BIOGEOSCIENCES</subject>
<subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/0450">Hydrothermal systems</subject>
</subjectInfo>
<subject href="http://psi.agu.org/taxonomy5/1000">GEOCHEMISTRY</subject>
<subjectInfo>
<subject href="http://psi.agu.org/taxonomy5/1099">General or miscellaneous</subject>
<subject href="http://psi.agu.org/taxonomy5/1094">Instruments and techniques</subject>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/1034">Hydrothermal systems</subject>
</subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/3000">MARINE GEOLOGY AND GEOPHYSICS</subject>
<subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/3017">Hydrothermal systems</subject>
</subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/3600">MINERALOGY AND PETROLOGY</subject>
<subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/3616">Hydrothermal systems</subject>
</subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/4800">OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL</subject>
<subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/4832">Hydrothermal systems</subject>
</subjectInfo>
<subject href="http://psi.agu.org/taxonomy5/8100">TECTONOPHYSICS</subject>
<subjectInfo>
<subject role="crossTerm" href="http://psi.agu.org/taxonomy5/8135">Hydrothermal systems</subject>
</subjectInfo>
<subject href="http://psi.agu.org/taxonomy5/8400">VOLCANOLOGY</subject>
<subjectInfo>
<subject href="http://psi.agu.org/taxonomy5/8424">Hydrothermal systems</subject>
<subject href="http://psi.agu.org/taxonomy5/8494">Instruments and techniques</subject>
</subjectInfo>
</subjectInfo>
<selfCitationGroup>
<citation xml:id="jgrb13622-cit-0000" type="self">
<author>
<familyName>Cardellini</familyName>
,
<givenNames>C.</givenNames>
</author>
,
<author>
<givenNames>G.</givenNames>
<familyName>Chiodini</familyName>
</author>
, and
<author>
<givenNames>F.</givenNames>
<familyName>Frondini</familyName>
</author>
(
<pubYear year="2003">2003</pubYear>
),
<articleTitle>Application of stochastic simulation to CO
<sub>2</sub>
flux from soil: Mapping and quantification of gas release</articleTitle>
,
<journalTitle>J. Geophys. Res.</journalTitle>
,
<vol>108</vol>
, 2425, doi:
<accessionId ref="info:doi/10.1029/2002JB002165">10.1029/2002JB002165</accessionId>
,
<issue>B9</issue>
.</citation>
</selfCitationGroup>
<linkGroup>
<link type="toTypesetVersion" href="file:JGRB.JGRB13622.pdf"></link>
</linkGroup>
</publicationMeta>
<contentMeta>
<countGroup>
<count type="figureTotal" number="10"></count>
<count type="tableTotal" number="4"></count>
</countGroup>
<titleGroup>
<title type="main">Application of stochastic simulation to CO
<sub>2</sub>
flux from soil: Mapping and quantification of gas release</title>
<title type="short">SIMULATION OF SOIL CO
<sub>2</sub>
FLUX</title>
<title type="shortAuthors">Cardellini
<i>et al</i>
.</title>
</titleGroup>
<creators>
<creator creatorRole="author" xml:id="jgrb13622-cr-0001" affiliationRef="#jgrb13622-aff-0001">
<personName>
<givenNames>C.</givenNames>
<familyName>Cardellini</familyName>
</personName>
<contactDetails>
<email normalForm="geochem@unipg.it">geochem@unipg.it</email>
</contactDetails>
</creator>
<creator creatorRole="author" xml:id="jgrb13622-cr-0002" affiliationRef="#jgrb13622-aff-0002">
<personName>
<givenNames>G.</givenNames>
<familyName>Chiodini</familyName>
</personName>
</creator>
<creator creatorRole="author" xml:id="jgrb13622-cr-0003" affiliationRef="#jgrb13622-aff-0001">
<personName>
<givenNames>F.</givenNames>
<familyName>Frondini</familyName>
</personName>
</creator>
</creators>
<affiliationGroup>
<affiliation countryCode="IT" type="organization" xml:id="jgrb13622-aff-0001">
<orgDiv>Dipartimento di Scienze della Terra</orgDiv>
<orgName>Università di Perugia</orgName>
<address>
<city>Perugia</city>
<country>Italy</country>
</address>
</affiliation>
<affiliation countryCode="IT" type="organization" xml:id="jgrb13622-aff-0002">
<orgDiv>Osservatorio Vesuviano</orgDiv>
<orgName>Istituto Nazionale di Geofisica e Vulcanologia</orgName>
<address>
<city>Naples</city>
<country>Italy</country>
</address>
</affiliation>
</affiliationGroup>
<keywordGroup type="author">
<keyword xml:id="jgrb13622-kwd-0001">CO
<sub>2</sub>
flux</keyword>
<keyword xml:id="jgrb13622-kwd-0002">stochastic simulation</keyword>
<keyword xml:id="jgrb13622-kwd-0003">volcanic degassing</keyword>
<keyword xml:id="jgrb13622-kwd-0004">diffuse degassing</keyword>
</keywordGroup>
<supportingInformation></supportingInformation>
<abstractGroup>
<abstract type="main">
<p xml:id="jgrb13622-para-0001" label="1">Conditional sequential Gaussian simulations (sGs) have been applied for the first time to the study of soil diffuse degassing from different volcanic and nonvolcanic systems. The application regards five data sets of soil CO
<sub>2</sub>
fluxes measured with the accumulation chamber methodology at the volcanic areas of Solfatara of Pozzuoli (Italy), Vesuvio cone (Italy), Nisyros (Greece), and Horseshoe Lake (California) and at the nonvolcanic degassing area of Poggio dell'Olivo (Italy). The sGs algorithm was used to generate 100 realizations of CO
<sub>2</sub>
flux for each area. Probabilistic summaries of these simulations, together with the information given by probability plots, were used (1) to draw maps of the probability that CO
<sub>2</sub>
fluxes exceed thresholds specific for a background flux, i.e., to define the probable extension of the degassing structures, (2) to calculate the total CO
<sub>2</sub>
output, and (3) to quantify the uncertainty of the estimation. The results show that the sGs is a suitable tool to model soil diffuse degassing, producing realistic images of the distribution of the CO
<sub>2</sub>
fluxes that honor the histogram and variogram of the original data. Moreover, the relation between the sample design and the uncertainty of estimation was investigated leading to an empirical relation between uncertainty and the sampling density that can be useful for the planning of future CO
<sub>2</sub>
flux surveys.</p>
</abstract>
</abstractGroup>
</contentMeta>
</header>
</component>
</istex:document>
</istex:metadataXml>
<mods version="3.6">
<titleInfo lang="en">
<title>Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release</title>
</titleInfo>
<titleInfo type="abbreviated" lang="en">
<title>SIMULATION OF SOIL CO2 FLUX</title>
</titleInfo>
<titleInfo type="alternative" contentType="CDATA" lang="en">
<title>Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release</title>
</titleInfo>
<name type="personal">
<namePart type="given">C.</namePart>
<namePart type="family">Cardellini</namePart>
<affiliation>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</affiliation>
<affiliation>E-mail: geochem@unipg.it</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">G.</namePart>
<namePart type="family">Chiodini</namePart>
<affiliation>Osservatorio Vesuviano, Istituto Nazionale di Geofisica e Vulcanologia, Naples, Italy</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">F.</namePart>
<namePart type="family">Frondini</namePart>
<affiliation>Dipartimento di Scienze della Terra, Università di Perugia, Perugia, Italy</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<typeOfResource>text</typeOfResource>
<genre type="article" displayLabel="article"></genre>
<originInfo>
<publisher>Blackwell Publishing Ltd</publisher>
<dateIssued encoding="w3cdtf">2003-09</dateIssued>
<dateCaptured encoding="w3cdtf">2002-08-22</dateCaptured>
<dateValid encoding="w3cdtf">2003-04-29</dateValid>
<edition>Cardellini, C., G. Chiodini, and F. Frondini (2003), Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release, J. Geophys. Res., 108, 2425, doi:10.1029/2002JB002165, B9.</edition>
<copyrightDate encoding="w3cdtf">2003</copyrightDate>
</originInfo>
<language>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription>
<internetMediaType>text/html</internetMediaType>
<extent unit="figures">10</extent>
<extent unit="tables">4</extent>
</physicalDescription>
<abstract>Conditional sequential Gaussian simulations (sGs) have been applied for the first time to the study of soil diffuse degassing from different volcanic and nonvolcanic systems. The application regards five data sets of soil CO2 fluxes measured with the accumulation chamber methodology at the volcanic areas of Solfatara of Pozzuoli (Italy), Vesuvio cone (Italy), Nisyros (Greece), and Horseshoe Lake (California) and at the nonvolcanic degassing area of Poggio dell'Olivo (Italy). The sGs algorithm was used to generate 100 realizations of CO2 flux for each area. Probabilistic summaries of these simulations, together with the information given by probability plots, were used (1) to draw maps of the probability that CO2 fluxes exceed thresholds specific for a background flux, i.e., to define the probable extension of the degassing structures, (2) to calculate the total CO2 output, and (3) to quantify the uncertainty of the estimation. The results show that the sGs is a suitable tool to model soil diffuse degassing, producing realistic images of the distribution of the CO2 fluxes that honor the histogram and variogram of the original data. Moreover, the relation between the sample design and the uncertainty of estimation was investigated leading to an empirical relation between uncertainty and the sampling density that can be useful for the planning of future CO2 flux surveys.</abstract>
<subject>
<genre>keywords</genre>
<topic>CO2 flux</topic>
<topic>stochastic simulation</topic>
<topic>volcanic degassing</topic>
<topic>diffuse degassing</topic>
</subject>
<relatedItem type="host">
<titleInfo>
<title>Journal of Geophysical Research: Solid Earth</title>
</titleInfo>
<titleInfo type="abbreviated">
<title>J. Geophys. Res.</title>
</titleInfo>
<genre type="journal">journal</genre>
<subject>
<genre>index-terms</genre>
<topic authorityURI="http://psi.agu.org/subset/ECV">Chemistry and Physics of Minerals and Rocks/Volcanology</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0400">BIOGEOSCIENCES</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0450">Hydrothermal systems</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1000">GEOCHEMISTRY</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1099">General or miscellaneous</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1094">Instruments and techniques</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1034">Hydrothermal systems</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/3000">MARINE GEOLOGY AND GEOPHYSICS</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/3017">Hydrothermal systems</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/3600">MINERALOGY AND PETROLOGY</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/3616">Hydrothermal systems</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4800">OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4832">Hydrothermal systems</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/8100">TECTONOPHYSICS</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/8135">Hydrothermal systems</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/8400">VOLCANOLOGY</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/8424">Hydrothermal systems</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/8494">Instruments and techniques</topic>
</subject>
<subject>
<genre>article-category</genre>
<topic>Chemistry and Physics of Minerals and Rocks/Volcanology</topic>
</subject>
<identifier type="ISSN">0148-0227</identifier>
<identifier type="eISSN">2156-2202</identifier>
<identifier type="DOI">10.1002/(ISSN)2156-2202b</identifier>
<identifier type="CODEN">JGREA2</identifier>
<identifier type="PublisherID">JGRB</identifier>
<part>
<date>2003</date>
<detail type="volume">
<caption>vol.</caption>
<number>108</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>B9</number>
</detail>
<extent unit="pages">
<start>n/a</start>
<end>n/a</end>
<total>13</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">69982DA8CAACB55B0736768C716704AF5CB05927</identifier>
<identifier type="DOI">10.1029/2002JB002165</identifier>
<identifier type="ArticleID">2002JB002165</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Copyright 2003 by the American Geophysical Union.</accessCondition>
<recordInfo>
<recordContentSource>WILEY</recordContentSource>
</recordInfo>
</mods>
<json:item>
<extension>json</extension>
<original>false</original>
<mimetype>application/json</mimetype>
<uri>https://api.istex.fr/document/69982DA8CAACB55B0736768C716704AF5CB05927/metadata/json</uri>
</json:item>
</metadata>
<serie></serie>
</istex>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Terre/explor/NissirosV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000021 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000021 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Terre
   |area=    NissirosV1
   |flux=    Istex
   |étape=   Corpus
   |type=    RBID
   |clé=     ISTEX:69982DA8CAACB55B0736768C716704AF5CB05927
   |texte=   Application of stochastic simulation to CO2 flux from soil: Mapping and quantification of gas release
}}

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Tue Jan 16 00:18:27 2018. Site generation: Mon Feb 1 22:09:13 2021