Title:
Coupling Tritium Release Data with Remotely Sensed Precipitation Data to Assess Model Uncertainties

dc.contributor.author Avant, Brian K. en_US
dc.contributor.author Ignatius, Amber R. en_US
dc.contributor.author Rasmussen, Todd C. en_US
dc.contributor.author Grundstein, Andrew en_US
dc.contributor.author Mote, Thomas L. en_US
dc.contributor.author Shepherd, J. Marshall en_US
dc.contributor.corporatename University of Georgia. Dept. of Geography en_US
dc.contributor.corporatename Daniel B. Warnell School of Forestry and Natural Resources en_US
dc.contributor.editor Carroll, G. Denise en_US
dc.date.accessioned 2013-03-21T20:24:59Z
dc.date.available 2013-03-21T20:24:59Z
dc.date.issued 2011-04
dc.description Proceedings of the 2011 Georgia Water Resources Conference, April 11, 12, and 13, 2011, Athens, Georgia. en_US
dc.description.abstract An accidental tritium release (570 L, 210 TBq) from the K-Reactor at the Savannah River Site (South Carolina, USA) occurred between December 22- 25, 1991. Observed tritium concentrations in rivers and streams, as well as in the coastal estuary, are used to calibrate a hydrologic flow and transport model, BASINS 4.0 (Better Assessment Science Integrating Point and Non- Point Sources) environmental analysis system and the HSPF hydrologic model. The model is used to investigate complex hydrometeorological and source attribution problems. Both source and meteorologic input uncertainties are evaluated with respect to model predictions. Meteorological inputs include ground-based rain gauges supple-mented with and several NASA products including TRMM 3B42, TRMM 3B42RT, and MERRA (Modern Era Retrospective-Analysis for Research and Applications) reanalysis data. Model parameter uncertainties are evaluated using PEST (Model-Independent Parameter Estimation and Uncertainty Analysis) and coupled to meteorologic uncertainties to provide bounding estimates of model accuracy. en_US
dc.description.sponsorship Sponsored by: Georgia Environmental Protection Division U.S. Geological Survey, Georgia Water Science Center U.S. Department of Agriculture, Natural Resources Conservation Service Georgia Institute of Technology, Georgia Water Resources Institute The University of Georgia, Water Resources Faculty en_US
dc.description.statementofresponsibility This book was published by Warnell School of Forestry and Natural Resources, The University of Georgia, Athens, Georgia 30602-2152. The views and statements advanced in this publication are solely those of the authors and do not represent official views or policies of The University of Georgia, the U.S. Geological Survey, the Georgia Water Research Institute as authorized by the Water Research Institutes Authorization Act of 1990 (P.L. 101-307) or the other conference sponsors. en_US
dc.identifier.isbn 0-9794100-2-9
dc.identifier.uri http://hdl.handle.net/1853/46461
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Warnell School of Forestry and Natural Resources, The University of Georgia en_US
dc.relation.ispartofseries GWRI2011. Poster presentations en_US
dc.subject Water resources management en_US
dc.subject Tritium release en_US
dc.subject Remotely sensed precipitation data en_US
dc.subject Hydrologic flow and transport model en_US
dc.title Coupling Tritium Release Data with Remotely Sensed Precipitation Data to Assess Model Uncertainties en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.corporatename Georgia Water Resources Institute
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
local.relation.ispartofseries Georgia Water Resources Conference
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relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isSeriesOfPublication e0bfffc9-c85a-4095-b626-c25ee130a2f3
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