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RECORD NUMBER: 21 OF 25

Main Title Proceedings of the International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling.
CORP Author Nuclear Regulatory Commission, Washington, DC. ;Office of the Chief of Engineers (Army), Washington, DC.;Environmental Protection Agency, Washington, DC.
Publisher Aug 2003
Year Published 2003
Report Number ERDC SR-04-2; EPA/600/R-04/117;
Stock Number NUREG/CP-0187
Additional Subjects Environmental models ; Meetings ; Conferences ; Sensitivity analysis ; Uncertainty ; Parameter estimation ; Simulation ; Risk assessment ; Multimedia ; Monitoring ; Strategies ; Information exchange ; Federal agencies ; Research ; Computer applications ;
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  NUREG/CP-0187 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 262p
Abstract
An International Workshop on Uncertainty, Sensitivity, and Parameter Estimation for Multimedia Environmental Modeling was held August 1921, 2003, at the U.S. Nuclear Regulatory Commission Headquarters in Rockville, Maryland, USA. The workshop was organized and convened by the Federal Working Group on Uncertainty and Parameter Estimation, and sponsored by the Federal Interagency Steering Committee on Multimedia Environmental Models (ISCMEM). The workshop themes were parameter estimation, sensitivity analysis, and uncertainty analysis relevant to environmental modeling. The workshop objectives were to facilitate communication among U.S. Federal agencies conducting research on the workshop themes; obtain up-to-date information from invited technical experts; actively discuss the state-of-the-science in the workshop themes; and identify opportunities for pursuing new approaches. These objectives were met through the workshop presentations and discussions. The invited presenters focused on methods to identify, evaluate, and compare both existing and newly developed strategies and tools for parameter estimation, sensitivity and uncertainty analyses.