Published 2000 | Version v1
Miscellaneous Open

Validation of dispersion model of RTARC-DSS based on ''KIT'' field experiments

Creators

  • 1. Dept. of Accident Management and Risk Assessment, Nuclear Power Plant Research Institute, Trnava (Slovakia)

Description

The aim of this study is to present the performance of the Gaussian dispersion model RTARC-DSS (Real Time Accident Release Consequences - Decision Support System) at the 'Kit' field experiments. The Model Validation Kit is a collection of three experimental data sets from Kincaid, Copenhagen, Lillestrom and supplementary Indianopolis experimental campaigns accompanied by software for model evaluation. The validation of the model has been performed on the basis of the maximum arc-wise concentrations using the Bootstrap resampling procedure the variation of the model residuals. Validation was performed for the short-range distances (about 1 - 10 km, maximum for Kincaid data set - 50 km from source). Model evaluation procedure and amount of relative over- or under-prediction are discussed and compared with the model. (author)

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Part of:
Proceedings of the 2000 International Conference on Nuclear Energy in Central Europe

Additional details

Publishing Information

Publisher
Inst. Jozef Stefan; Nuclear Society of Slovenia
Imprint Place
Ljubljana (Slovenia)
ISBN
961-6303-29-5
Imprint Title
Proceedings of the 2000 International Conference on Nuclear Energy in Central Europe
Imprint Pagination
13.8 Megabytes
Journal Page Range
[8 p.]
Report number
INIS-SI--03-002

Conference

Title
International Conference Nuclear Energy in Central Europe 2000
Dates
11-14 Sep 2000
Place
Bled (Slovenia)

INIS

Country of Publication
Slovenia
Country of Input or Organization
Slovenia
INIS RN
34087576
Subject category
S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
BOOTSTRAP MODEL; CALCULATION METHODS; COMPARATIVE EVALUATIONS; COMPUTER CALCULATIONS; EVALUATION; R CODES; VALIDATION
Descriptors DEC
COMPOSITE MODELS; COMPUTER CODES; EVALUATION; MATHEMATICAL MODELS; PARTICLE MODELS; TESTING

Optional Information

Notes
10 refs., 4 tabs., 5 figs. Imprint:726 refs., 125 tabs., 557 figs.