HR: 1330h
AN: H43A-03    [Abstracts]
TI: Developing A Geospatial Data Model To Derive Watershed Characteristics For Low Streamflow Prediction
AU: * Hirabayashi, S
EM: shirabay@syr.edu
AF: State University of New York College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, NY 13210 United States
AU: Kroll, C N
EM: cnkroll@esf.edu
AF: State University of New York College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, NY 13210 United States
AB: Low streamflow estimates are required for a variety of water resource management purposes. Low streamflow statistics are commonly estimated from a frequency analysis when a historic streamflow record is available, and from a regional regression model when no historic record is available. A regional regression model is developed from low streamflow estimates and watershed characteristics at gauged sites in a region. The developed model is then applied to a hydrologically similar ungauged watershed to estimate low streamflow statistics at that watershed. Watershed characteristics can be derived from digital geospatial data using geoprocessing tools embedded within GIS packages. It has been shown that digitally derived watershed characteristics can lead to model improvements. In order to obtain further improvements on a regional regression model, newly available digital geospatial data (meteorology, topography, geology, etc.) may be used. It is desirable to efficiently process those newly available data. To accomplish this, a common framework and toolset to digitally derive watershed characteristics has been developed in an ArcGIS desktop platform. A relational database has been developed to derive watershed characteristics as a function of attributes of various digital grids. A case study is currently being performed in a region centered on eastern Tennessee and western North Carolina, and includes an assessment of the impact of digital elevation model (DEM) resolution on derived watershed characteristics.
DE: 1812 Drought
DE: 1854 Precipitation (3354)
DE: 1860 Runoff and streamflow
SC: Hydrology [H]
MN: 2005 Joint Assembly