Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Radek Hofman"'
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 144:2781-2797
Autor:
Sepideh Alsadat Azimi, Hossein Afarideh, Abdelhakim Gheddou, Jong-Seo Chai, Radek Hofman, Martin Kalinowski
Publikováno v:
Journal of Environmental Radioactivity. 237:106718
In this study, we propose for the first time a model of classification for Beta-Gamma coincidence radioxenon spectra using a deep learning approach through the convolution neural network (CNN) technique. We utilize the entire spectrum of actual data
Publikováno v:
Atmospheric Chemistry and Physics. 17:12677-12696
In the fall of 2011, iodine-131 (131I) was detected at several radionuclide monitoring stations in central Europe. After investigation, the International Atomic Energy Agency (IAEA) was informed by Hungarian authorities that 131I was released from th
Autor:
Oleksandr Pylypenko, Petra Seibert, Ivan V. Kovalets, Spyros Andronopoulos, I. Ievdin, Radek Hofman
Publikováno v:
Pollutants from Energy Sources ISBN: 9789811332807
The development of the source inversion algorithm is described which allows for estimation of the release rates of multiple nuclides and source height with the use of gamma dose rate (GDR) measurements. The method is applicable for the dispersion pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062d23cd21c455695a1a45642c1cac36
https://doi.org/10.1007/978-981-13-3281-4_10
https://doi.org/10.1007/978-981-13-3281-4_10
Publikováno v:
Geoscientific Model Development, Vol 9, Pp 4297-4311 (2016)
Geoscientific Model Development
Geoscientific Model Development
Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a linear model that can explain observable quantities (e.g., concentrations or depositi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4052110796b6e875b8fa70dd2566e79
https://www.geosci-model-dev.net/9/4297/2016/
https://www.geosci-model-dev.net/9/4297/2016/
Publikováno v:
Radioprotection. 51:S121-S123
In this work we present an automated source inversion algorithm suitable for usage in the real-time online emergency response system JRODOS in which measurements of gamma dose rates and other quantities taken at a wide range of distances from the Nuc
In the fall of 2011, iodine-131 (I-131) was detected at several radionuclide monitoring stations in Central Europe. After investigation, the International Atomic Energy Agency (IAEA) was informed by Hungarian authorities that I-131 was released from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a8bfc8112876dd56c8358d2c6ffb751
https://doi.org/10.5194/acp-2017-206
https://doi.org/10.5194/acp-2017-206
Publikováno v:
Progress in Nuclear Science and Technology. 4:771-774
The task of decision support in the case of a radiation accident is to provide up-to-date information on the radiation situation, prognosis of its future evolution and possible consequences. The reliability of predictions can be significantly improve
Autor:
Radek Hofman, Vaclav Smidl
Publikováno v:
Atmospheric Environment. 67:425-436
Tracking of an atmospheric release of pollution is usually based on measurements provided by stationary networks, occasionally complemented with deployment of mobile sensors. In this paper, we extend the existing concept to the case where the sensors