dc.contributor.advisor | Lee, Jejung | eng |
dc.contributor.author | Park, Changhui | eng |
dc.date.issued | 2012-06-15 | eng |
dc.date.submitted | 2012 Spring | eng |
dc.description | Thesis (Ph.D.)-- Dept. of Geosciences and School of Computing and Engineering. University of Missouri--Kansas City, 2012 | eng |
dc.description | Includes bibliographic references (p. 161-177) | eng |
dc.description | Dissertation advisor: Jejung Lee | eng |
dc.description | Vita | eng |
dc.description | Title from PDF of title page, viewed on June 15, 2012 | eng |
dc.description.abstract | We present a daily hydrologic feedback model, VELAS (the VEgetation-
LAnd cover-Soil water dynamics), to simulate daily responses of hydrologic
processes including interception, runoff, evapotranspiration, infiltration, and
recharge under various conditions of vegetation, land cover, and soil in a fullydistributed
manner. The daily soil water balance is a key element to link
surface and subsurface models as it calculates infiltration and groundwater
recharge by considering a time delay routing through a vadose zone down to
the groundwater table. MODFLOW is adopted to simulate groundwater flow
and interaction with surface water components as well. The model can be
localized by simple modification of soil and crop properties. The application of
VELAS to a watershed in the Geum River Basin in Korea shows different daily
responses of hydrologic feedbacks for different types of land cover in the same
watershed. The comparison between the estimated runoff from VELAS and the
observed runoff data shows a good correlation with the coefficient of 0.81. The calculated groundwater elevation and the observed groundwater elevation also
show a good correlation with the coefficient of 0.98 and the percent error less
than 1.8%. The exteneded application to the entire Geum River Basin for the
climate change and land cover transition during the period from 2011 to 2050
shows the capability of VELAS to predict long-term hydrologic feedbacks. The
results of land cover change prediction by the Land Change Modeler show a
strong agreement between the actual land cover and the predicted land cover.
The predicted responses of hydrologic feedbacks reflect the impacts of the
climate and land cover change. | eng |
dc.description.tableofcontents | Introduction -- Methodology -- Application -- Results and discussion -- Extended application of VELAS -- Comparison to WetSpass Model -- Conclusion -- Appendix A. Soil water balance algorithm -- Appendix B. Python code for the VELAS model | eng |
dc.description.version | Title from PDF of title page, viewed on June 15, 2012 | eng |
dc.description.version | Dissertation advisor: Jejung Lee | eng |
dc.description.version | Vita | eng |
dc.description.version | Includes bibliographic references (p. 161-177) | eng |
dc.description.version | Thesis (Ph.D.)--Dept. of Geosciences and School of Computing and Engineering. University of Missouri--Kansas City, 2012 | eng |
dc.format.extent | xiii, 178 pages | eng |
dc.identifier.uri | http://hdl.handle.net/10355/14671 | eng |
dc.publisher | University of Missouri--Kansas City | eng |
dc.subject.lcsh | Hydrologic models | eng |
dc.subject.lcsh | Climatic changes -- Research | eng |
dc.subject.lcsh | Land cover -- Research | eng |
dc.subject.other | Dissertation -- University of Missouri--Kansas City -- Geosciences | eng |
dc.subject.other | Dissertation -- University of Missouri--Kansas City -- Computer science | eng |
dc.title | VELAS: a fully-distributed daily hydrologic feedback model with emphasis on vegetation, land cover, and soil water dynamics | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Geosciences (UMKC) | eng |
thesis.degree.discipline | Computer Science (UMKC) | eng |
thesis.degree.grantor | University of Missouri--Kansas City | eng |
thesis.degree.level | Doctoral | eng |
thesis.degree.name | Ph.D. | eng |