Methods of sensitivity theory and inverse modeling for estimation of source parameters and risk/vulnerability areas

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2074, Issue , 2001, Pages 57-66

  Penenko, Vladimir ^a   Baklanov, Alexander ^b  

^a INSTITUTE OF COMPUTATIONAL MATHEMATICS AND MATHEMATICAL GEOPHYSICS   (Russian Federation)

^b DANISH METEOROLOGICAL INSTITUTE   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 23044526274     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45718-6_7     Document Type: Conference Paper

References (19)

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5. Penenko, V.V.: Some Aspects of Mathematical Modeling Using the Models Together with Observational Data. Bull. Nov. Comp. Cent. 4 (1996) 31-52
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8. Baklanov, A.: Modelling of the atmospheric radionuclide transport: local to regional scale. In: Numerical Mathematics and Mathematical Modelling, Vol. 2. INM RAS, Moscow, Russia (2000) 244-266
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11. Baklanov, A., Mahura, A., Jaffe, D., Thaning, L., Bergman, R. Andres, R.: Atmospheric Transport Patterns and Possible Consequences for the European North after a Nuclear Accident. Journal of Environmental Radioactivity (2001) (accepted)
12. Rigina, O. and Baklanov, A.: Regional radiation risk and vulnerability assessment by integration of mathematical modelling and GIS-analysis. J. Environment International (2001) (submitted)
13. Penenko, V.V.: Revealing the areas of high ecological vulnerability: the concept and approach to realization. Atmos. Ocean. Opt. 14 (2001) (in press)
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