Item talk:Q242972
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Whole-coal versus ash basis in coal geochemistry: a mathematical approach to consistent interpretations", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70043515", "url": "https://pubs.usgs.gov/publication/70043515" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70043515 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.coal.2013.02.008", "url": "https://doi.org/10.1016/j.coal.2013.02.008" } ], "journal": { "@type": "Periodical", "name": "International Journal of Coal Geology", "volumeNumber": "113", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "International Journal of Coal Geology" } ], "datePublished": "2013", "dateModified": "2013-05-20", "abstract": "Several standard methods require coal to be ashed prior to geochemical analysis. Researchers, however, are commonly interested in the compositional nature of the whole-coal, not its ash. Coal geochemical data for any given sample can, therefore, be reported in the ash basis on which it is analyzed or the whole-coal basis to which the ash basis data are back calculated. Basic univariate (mean, variance, distribution, etc.) and bivariate (correlation coefficients, etc.) measures of the same suite of samples can be very different depending which reporting basis the researcher uses. These differences are not real, but an artifact resulting from the compositional nature of most geochemical data. The technical term for this artifact is subcompositional incoherence. Since compositional data are forced to a constant sum, such as 100% or 1,000,000 ppm, they possess curvilinear properties which make the Euclidean principles on which most statistical tests rely inappropriate, leading to erroneous results. Applying the isometric logratio (ilr) transformation to compositional data allows them to be represented in Euclidean space and evaluated using traditional tests without fear of producing mathematically inconsistent results. When applied to coal geochemical data, the issues related to differences between the two reporting bases are resolved as demonstrated in this paper using major oxide and trace metal data from the Pennsylvanian-age Pond Creek coal of eastern Kentucky, USA. Following ilr transformation, univariate statistics, such as mean and variance, still differ between the ash basis and whole-coal basis, but in predictable and calculated manners. Further, the stability between two different components, a bivariate measure, is identical, regardless of the reporting basis. 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Energy Resources Science Center", "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center" } ] }, { "@type": "Person", "name": "Hower, James C.", "givenName": "James C.", "familyName": "Hower", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-4694-2776", "url": "https://orcid.org/0000-0003-4694-2776" }, "affiliation": [ { "@type": "Organization", "name": "University of Kentucky, Center for Applied Energy Research, 2540 Research Park Drive, Lexington, KY 40511, United States." } ] } ], "funder": [ { "@type": "Organization", "name": "Eastern Energy Resources Science Center", "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center" } ] }, "OpenAlex": { "abstract_inverted_index": { "Several": [ 0 ], "standard": [ 1 ], "methods": [ 2 ], "require": [ 3 ], "coal": [ 4, 182, 214, 284 ], "to": [ 5, 9, 51, 120, 147, 156, 161, 181, 188 ], "be": [ 6, 36, 79, 162 ], "ashed": [ 7 ], "prior": [ 8 ], "geochemical": [ 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