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2015 | 25 | 2 | 35-50

Article title

Localizing of the atmospheric contamination source based on the Kori field tracer experiment data

Content

Title variants

Languages of publication

EN

Abstracts

EN
Accidental releases of hazardous material into the atmosphere pose high risks to human health and the environment. Thus it would be valuable to develop an emergency reaction system which can recognize the probable location of the source based only on concentrations of the released substance as reported by a network of sensors. We apply a methodology combining Bayesian inference with Sequential Monte Carlo (SMC) methods to the problem of locating the source of an atmospheric contaminant. The input data for this algorithm are the concentrations of a given substance gathered continuously in time. We employ this algorithm to locating a contamination source using data from a field tracer experiment covering the Kori nuclear site and conducted in May 2001. We use the second-order Closure Integrated PUFF Model (SCIPUFF) of atmospheric dispersion as the forward model to predict concentrations at the sensors’ locations. We demonstrate that the source of continuous contamination may be successfully located even in the very complicated, hilly terrain surrounding the Kori nuclear site.

Year

Volume

25

Issue

2

Pages

35-50

Physical description

Contributors

author
  • National Centre for Nuclear Research, ul. Andrzeja Sołtana 7, 05-400 Otwock, Świerk, Poland
  • Institute of Computer Science, Polish Academy of Sciences, ul. Jana Kazimierza 5, Warsaw, Poland
  • National Centre for Nuclear Research, ul. Andrzeja Sołtana 7, 05-400 Otwock, Świerk, Poland
  • Institute of Computer Sciences, Siedlce University, ul. Konarskiego 2, Siedlce, Poland.
  • National Centre for Nuclear Research, ul. Andrzeja Sołtana 7, 05-400 Otwock, Świerk, Poland

References

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  • BORYSIEWICZ M., WAWRZYNCZAK A., KOPKA P., Bayesian-based methods for the estimation of the unknown model’s parameters in the case of the localization of the atmospheric contamination source, Foundations of Computing and Decision Sciences, 2012, 37 (4), 253–270.
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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-d01a9861-7a74-4fc9-83d8-3142d0fba01c
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