Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/714
AuthorsLewicki, J. L.* 
Bergfeld, D.* 
Cardellini, C.* 
Chiodini, G.* 
Granieri, D.* 
Varley, N.* 
Werner, C.* 
TitleComparative soil CO2 flux measurements and geostatistical estimation methods on Masaya volcano, Nicaragua
Issue Date2005
DOI10.1007/s00445-005-0423-9
URIhttp://hdl.handle.net/2122/714
KeywordsCarbon dioxide
Soil gas
Accumulation chamber method
Geostatistics
Masaya volcano
Volcano monitoring
Emission rates
Subject Classification04. Solid Earth::04.02. Exploration geophysics::04.02.01. Geochemical exploration 
04. Solid Earth::04.02. Exploration geophysics::04.02.07. Instruments and techniques 
04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques 
AbstractWe present a comparative study of soil CO2 flux ( ) measured by five groups (Groups 1–5) at the IAVCEI-CCVG Eighth Workshop on Volcanic Gases on Masaya volcano, Nicaragua. Groups 1–5 measured using the accumulation chamber method at 5-m spacing within a 900 m2 grid during a morning (AM) period. These measurements were repeated by Groups 1–3 during an afternoon (PM) period. Measured ranged from 218 to 14,719 g m–2 day–1. The variability of the five measurements made at each grid point ranged from ±5 to 167%. However, the arithmetic means of fluxes measured over the entire grid and associated total CO2 emission rate estimates varied between groups by only ±22%. All three groups that made PM measurements reported an 8–19% increase in total emissions over the AM results. Based on a comparison of measurements made during AM and PM times, we argue that this change is due in large part to natural temporal variability of gas flow, rather than to measurement error. In order to estimate the mean and associated CO2 emission rate of one data set and to map the spatial distribution, 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. While the total CO2 emission rates estimated using the different techniques only varied by ±4.4%, the maps showed important differences. We suggest that the sequential Gaussian simulation method yields the most realistic representation of the spatial distribution of , but a variety of geostatistical methods are appropriate to estimate the total CO2 emission rate from a study area, which is a primary goal in volcano monitoring research.
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