A new methodology is outlined and demonstrated on the improvement of uncertainty and sensitivity analysis based on the random sampling method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00548403" target="_blank" >RIV/67985556:_____/22:00548403 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s00477-021-02110-0" target="_blank" >https://link.springer.com/article/10.1007/s00477-021-02110-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00477-021-02110-0" target="_blank" >10.1007/s00477-021-02110-0</a>
Alternative languages
Result language
angličtina
Original language name
A new methodology is outlined and demonstrated on the improvement of uncertainty and sensitivity analysis based on the random sampling method
Original language description
In several hours of a calm meteorological situation, a relatively significant level of radioactivity may accumulate around the source. When the calm situation expires, a wind-induced convective movement of the air immediately begins. Random realisations of the input atmospheric dispersion model parameters for this CALM scenario are generated using LatinnHypercube Sampling scheme. The resultant complex random radiological trajectories, passing through both calm and convective stages of the release scenario, represent the necessary prerequisite for the prospective uncertainty analysis (UA) and the sensitivity analysis (SA). The novel approximation-based (AB) solution replaces the non-Gaussian sum of individual puffs at the end of the calm period with one Gaussian ‘‘super-puff’’ distribution. This substantially accelerates generation of a sufficiently large number of random realisations for the radiological trajectories, thus facilitating the subsequent UA and SA. Both of these procedures exploit a common mapping between the pairs of calculated output fields on the one hand and the realisation vectors of the associated random input parameters on the other hand. This paper presents the necessary technical background, as well as the idea of the AB solution and its use. Examples of 2-D random trajectories of deposited 137Cs are presented in a graphical form. Global sensitivity analysis based on random sampling methods is outlined and improved feasibility o f the originally long-running computation is demonstrated.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LTC18075" target="_blank" >LTC18075: Distributed rational decision making: cooperation aspects</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Stochastic Environmental Research and Risk Assessment
ISSN
1436-3240
e-ISSN
1436-3259
Volume of the periodical
36
Issue of the periodical within the volume
6
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
1703-1719
UT code for WoS article
000710852800001
EID of the result in the Scopus database
2-s2.0-85117951258