dc.contributor.author | Scott, Bethany | |
dc.date.accessioned | 2014-04-15T22:31:49Z | |
dc.date.available | 2014-04-15T22:31:49Z | |
dc.date.issued | 2012-12-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/9569 | |
dc.description.abstract | The 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.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright 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.title | Developing a Soil Property Database for the Oklahoma Mesonet | |
dc.type | text | |
osu.filename | Scott_okstate_0664M_12455.pdf | |
osu.college | Agricultural Sciences and Natural Resources | |
osu.accesstype | Open Access | |
dc.description.department | Environmental Sciences Program | |
dc.type.genre | Thesis | |
dc.subject.keywords | mesonet | |
dc.subject.keywords | plant available water | |
dc.subject.keywords | soil database | |
dc.subject.keywords | soil hydrology | |
dc.subject.keywords | soil moisture | |
dc.subject.keywords | soil physics | |