If PXRF elemental data can be used as a proxy for soil pH, it would provide a rapid, easy, non-destructive means of assessing soil reaction. For example, if we have elemental characterization data for a whole soil profile, and PXRF can be correlated to soil pH, we can subsequently predict the pH of the entire profile through the relationship obtained. Also, it would allow for quick isolation of soil samples that deserve further, detailed study via traditional lab methods and permit pH prediction of solid matrices without altering them for analyses. As such, the objectives of this research were to: 1) collect a broad array of soil samples representing a wide variety of physicochemical properties, 2) determine soil pH and other characterization parameters via traditional laboratory methods, 3) scan all soils with PXRF for elemental quantification, and 4) establish the relationship between the datasets using statistical methods. We hypothesize that PXRF elemental data can successfully be used as a predictive proxy for soil pH; models relating the two datasets will be created and tested via correlation.
If PXRF elemental data can be used as a proxy for soil pH, it would provide a rapid, easy, non-destructive means of assessing soil reaction. For example, if we have elemental characterization data for a whole soil profile, and PXRF can be correlated to soil pH, we can subsequently predict the pH of the entire profile through the relationship obtained. Also, it would allow for quick isolation of soil samples that deserve further, detailed study via traditional lab methods and permit pH prediction of solid matrices without altering them for analyses. As such, the objectives of this research were to: 1) collect a broad array of soil samples representing a wide variety of physicochemical properties, 2) determine soil pH and other characterization parameters via traditional laboratory methods, 3) scan all soils with PXRF for elemental quantification, and 4) establish the relationship between the datasets using statistical methods. We hypothesize that PXRF elemental data can successfully be used as a predictive proxy for soil pH; models relating the two datasets will be created and tested via correlation.
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