Comparative Soil CO2 Flux Measurements and Geostatisticalestimation Methods on Masaya Volcano, Nicaragua

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We present a comparative study of soil CO{sub 2} flux (F{sub CO2}) measured by five groups (Groups 1-5) at the IAVCEI-CCVG Eighth Workshop on Volcanic Gases on Masaya volcano, Nicaragua. Groups 1-5 measured F{sub CO2} using the accumulation chamber method at 5-m spacing within a 900 m{sup 2} grid during a morning (AM) period. These measurements were repeated by Groups 1-3 during an afternoon (PM) period. All measured F{sub CO2} ranged from 218 to 14,719 g m{sup -2}d{sup -1}. Arithmetic means and associated CO{sub 2} emission rate estimates for the AM data sets varied between groups by {+-}22%. The variability ... continued below

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Lewicki, J. L.; Bergfeld, D.; Cardellini, C.; Chiodini, G.; Granieri, D.; Varley, N. et al. April 27, 2004.

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We present a comparative study of soil CO{sub 2} flux (F{sub CO2}) measured by five groups (Groups 1-5) at the IAVCEI-CCVG Eighth Workshop on Volcanic Gases on Masaya volcano, Nicaragua. Groups 1-5 measured F{sub CO2} using the accumulation chamber method at 5-m spacing within a 900 m{sup 2} grid during a morning (AM) period. These measurements were repeated by Groups 1-3 during an afternoon (PM) period. All measured F{sub CO2} ranged from 218 to 14,719 g m{sup -2}d{sup -1}. Arithmetic means and associated CO{sub 2} emission rate estimates for the AM data sets varied between groups by {+-}22%. The variability of the five measurements made at each grid point ranged from {+-}5 to 167% and increased with the arithmetic mean. Based on a comparison of measurements made by Groups 1-3 during AM and PM times, this variability is likely due in large part to natural temporal variability of gas flow, rather than to measurement error. We compared six geostatistical methods (arithmetic and minimum variance unbiased estimator means of uninterpolated data, and arithmetic means of data interpolated by the multiquadric radial basis function, ordinary kriging, multi-Gaussian kriging, and sequential Gaussian simulation methods) to estimate the mean and associated CO{sub 2} emission rate of one data set and to map the spatial F{sub CO2} distribution. While the CO{sub 2} emission rates estimated using the different techniques only varied by {+-}1.1%, the F{sub CO2} maps showed important differences. We suggest that the sequential Gaussian simulation method yields the most realistic representation of the spatial distribution of F{sub CO2} and is most appropriate for volcano monitoring applications.

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  • Journal Name: Bulletin of Volcanology; Journal Volume: 68; Related Information: Journal Publication Date: 2005

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  • Report No.: LBNL--54976
  • Grant Number: DE-AC02-05CH11231;NASA:NA-11318
  • Office of Scientific & Technical Information Report Number: 886767
  • Grant Number: NA-11318
  • Archival Resource Key: ark:/67531/metadc874093

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  • April 27, 2004

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  • Sept. 21, 2016, 2:29 a.m.

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  • Dec. 11, 2017, 2:48 p.m.

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Lewicki, J. L.; Bergfeld, D.; Cardellini, C.; Chiodini, G.; Granieri, D.; Varley, N. et al. Comparative Soil CO2 Flux Measurements and Geostatisticalestimation Methods on Masaya Volcano, Nicaragua, article, April 27, 2004; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc874093/: accessed April 25, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.