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dc.contributor.authorAvant, Brian K.en_US
dc.contributor.authorIgnatius, Amber R.en_US
dc.contributor.authorRasmussen, Todd C.en_US
dc.contributor.authorGrundstein, Andrew J.en_US
dc.contributor.authorMote, Thomas L.en_US
dc.contributor.authorShepherd, J. Marshallen_US
dc.contributor.editorCarroll, G. Deniseen_US
dc.date.accessioned2013-03-21T20:24:59Z
dc.date.available2013-03-21T20:24:59Z
dc.date.issued2011-04
dc.identifier.isbn0-9794100-2-9
dc.identifier.urihttp://hdl.handle.net/1853/46461
dc.descriptionProceedings of the 2011 Georgia Water Resources Conference, April 11, 12, and 13, 2011, Athens, Georgia.en_US
dc.description.abstractAn 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.sponsorshipSponsored 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 Facultyen_US
dc.description.statementofresponsibilityThis 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.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesGWRI2011. Poster presentationsen_US
dc.subjectWater resources managementen_US
dc.subjectTritium releaseen_US
dc.subjectRemotely sensed precipitation dataen_US
dc.subjectHydrologic flow and transport modelen_US
dc.titleCoupling Tritium Release Data with Remotely Sensed Precipitation Data to Assess Model Uncertaintiesen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameUniversity of Georgia. Dept. of Geographyen_US
dc.contributor.corporatenameDaniel B. Warnell School of Forestry and Natural Resourcesen_US
dc.publisher.originalWarnell School of Forestry and Natural Resources, The University of Georgiaen_US


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