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Chapter
Apr 26, 2012

A Bayesian Unmixing Model for Land-Use Fingerprinting Using Deltaσ5 C/N

Publication: World Environmental and Water Resource Congress 2006: Examining the Confluence of Environmental and Water Concerns

Abstract

In this study, a new unmixing model is presented for land-use fingerprinting eroded-soil using delta5N and C/N. The model is specified within the Bayesian Markov Chain Monte Carlo framework and is capable of unmixing erosion sources characterized by multiple erosion processes. A unique attribute of the formulation is the use of a truncation parameter to account for uncertainty during the erosion process. The model was applied for fingerprinting soils from forest and agriculture land-uses in Jerome Creek sub-watershed of the Upper Palouse Watershed, Northwestern Idaho. Multiple processes including upland rill erosion and floodplain headcut erosion are represented within the agriculture region of the Upper Palouse. A sensitivity analysis for the unmixing model and comparison of the model with sediment yield estimates for the land-uses add confidence to the accuracy of the model.

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Go to World Environmental and Water Resource Congress 2006
World Environmental and Water Resource Congress 2006: Examining the Confluence of Environmental and Water Concerns
Pages: 1 - 12

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Published online: Apr 26, 2012

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Assistant Professor, Civil Engineering Dept., University of Kentucky, Lexington, KY 40506-0281. E-mail: [email protected]
A. N. Papanicolaou [email protected]
Associate Professor, IIHR-Hydroscience and Engr, University of Iowa, Iowa City, IA 52242,. E-mail: [email protected]

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