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Developing a Soil Property Database for the Oklahoma Mesonet

dc.contributor.authorScott, Bethany
dc.date.accessioned2014-04-15T22:31:49Z
dc.date.available2014-04-15T22:31:49Z
dc.date.issued2012-12-01
dc.identifier.urihttps://hdl.handle.net/11244/9569
dc.description.abstractThe objective of this study was to create a comprehensive database of soil hydraulic and physical properties of the Oklahoma Mesonet station soils. Replicate soil cores were collected at 117 Mesonet stations. The artificial neural network model Rosetta was used to estimate the van Genuchten water retention curve parameters, replacing the Arya and Paris estimated parameters.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleDeveloping a Soil Property Database for the Oklahoma Mesonet
dc.typetext
osu.filenameScott_okstate_0664M_12455.pdf
osu.collegeAgricultural Sciences and Natural Resources
osu.accesstypeOpen Access
dc.description.departmentEnvironmental Sciences Program
dc.type.genreThesis
dc.subject.keywordsmesonet
dc.subject.keywordsplant available water
dc.subject.keywordssoil database
dc.subject.keywordssoil hydrology
dc.subject.keywordssoil moisture
dc.subject.keywordssoil physics


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