Show simple item record

dc.creatorHoffpauir, Richard James
dc.date.accessioned2012-06-07T23:05:17Z
dc.date.available2012-06-07T23:05:17Z
dc.date.created2001
dc.date.issued2001
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2001-THESIS-H63
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 174-177).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractThe effect of the scale of vegetation parameter aggregation on modeled evapotranspiration pattern and rate is explored. Vegetation biomass, height and fractional coverage per model grid cell were the vegetation parameters used in this research to explore the effects. A spatially explicit hydrologic model was developed and calibrated for a catchment scale watershed (11.6 km²). The dominant vegetation type over the catchment was prairie grass. Distributed vegetation parameters were taken from vegetation indices developed from satellite remote sensing images of the study area. Aggregation of the vegetation parameters followed a subcatchment scheme. The model was executed for one growing season for each subcatchment aggregation scheme. Evapotranspiration pattern was correlated with a remotely sensed surface brightness temperature image to assess the scaling effects of parameter aggregation. Evapotranspiration rate averaged over the catchment was calibrated with measured values of latent heat flux for the unaggregated case. Catchment average evapotranspiration for each case of vegetation parameter aggregation was compared for effects with respect to scale of aggregation. The evapotranspiration occurring during times of soil moisture stress on the vegetation was assessed in terms of the scaling effects on the catchment average conductance stress function. The results from the model simulations for pattern and rate of evapotranspiration show the areal scale of approximately 0.2 km² was the maximum aggregation limit for vegetation parameter influence on the model processes. A metric of vegetation spatial structure, the semi-variogram, was calculated for the vegetation images used. The scale of meaningful spatial structure in the data was found by the semi-variogram method to be similar throughout the growing season to the modeling results. The results of this research have general implications for understanding the effects vegetation parameters will have on model behavior and selecting vegetation data with an appropriate scale of spatial variability.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectcivil engineering.en
dc.subjectMajor civil engineering.en
dc.titleThe effects of vegetation parameter aggregation on modeled evapotranspirationen
dc.typeThesisen
thesis.degree.disciplinecivil engineeringen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

This item and its contents are restricted. If this is your thesis or dissertation, you can make it open-access. This will allow all visitors to view the contents of the thesis.

Request Open Access