A Bayesian unmixing model for land-use fingerprinting using delta 5N and C/N

J. F. Fox, A. N. Papanicolaou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, a new unmixing model is presented for land-use fingerprinting eroded-soil using delta 5N 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.

Original languageEnglish
Title of host publicationExamining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006
DOIs
StatePublished - 2007
EventWorld Environmental and Water Resources Congress 2006: Examining the Confluence of Environmental and Water Concerns - Omaha, NE, United States
Duration: May 21 2006May 25 2006

Publication series

NameExamining the Confluence of Environmental and Water Concerns - Proceedings of the World Environmental and Water Resources Congress 2006

Conference

ConferenceWorld Environmental and Water Resources Congress 2006: Examining the Confluence of Environmental and Water Concerns
Country/TerritoryUnited States
CityOmaha, NE
Period5/21/065/25/06

Keywords

  • Bayesian analysis
  • Erosion
  • Land usage
  • Watersheds

ASJC Scopus subject areas

  • General Environmental Science

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