Free Access
Issue |
Radioprotection
Volume 45, Number 5, 2010
Enhancing nuclear and radiological emergency management and rehabilitation: Key Results of the EURANOS European Project |
|
---|---|---|
Page(s) | S77 - S84 | |
Section | Articles | |
DOI | https://doi.org/10.1051/radiopro/2010017 | |
Published online | 16 September 2010 |
- Andronopoulos S., Bartzis J.G. (2009a) Model description of the RODOS Meteorological Pre-Processor, Report RODOS(RA2)-TN(09)02, available in http://www.rodos.fzk.de/rodos.html. [Google Scholar]
- Andronopoulos S., Bartzis J.G. (2009b) Report on performance tests of the mass-consistent wind-field model, Report EURANOS(CAT2)-TN(09)04. [Google Scholar]
- Andronopoulos S., Davakis E., Bartzis J.G. (2009) RODOS-DIPCOT Model Description and Evaluation, Report RODOS(RA2)-TN(09)01, available in http://www.rodos.fzk.de/rodos.html. [Google Scholar]
- Gryning S.E., Holstag A.A.M., Irwin J.S., Sivertsen B. (1987) Applied dispersion modelling based on meteorological scaling parameters, Atmos. Environ. 21, 79–89. [CrossRef] [Google Scholar]
- Hanna S.R. (1982) Atmospheric turbulence and air pollution modelling. In: Atmospheric Turbulence and Air Pollution Modelling (Nieuwstadt F.M.T., van Dop H., Ed.) pp. 275-310, D. Reidel, Dordrecht, Holland. [Google Scholar]
- Hanna S.R., Chang J.C. (1993) Hybrid plume dispersion model (HPDM) improvements and testing at three field sites, Atmos. Environ. 27A, 1591-1508. [Google Scholar]
- Holtslag A.A.M., Moeng C.H. (1991) Eddy diffusivity and countergradient transport in the convective atmospheric boundary layer, J. Atmos. Sci. 48, 1690-1998. [CrossRef] [Google Scholar]
- IAEA (1980) Atmospheric Dispersion in Nuclear Power Plant Siting. International Atomic Energy Agency, Safety Series, 50-SG-S3. [Google Scholar]
- Kitada T., Kaki A., Ueda H., Peters L.K. (1983) Estimation of vertical air motion from limited horizontal wind data-a numerical experiment, Atmos. Environ. 17, 2181-2192. [CrossRef] [Google Scholar]
- Kovalets I. (2006) RODOS System Meteorological and Atmospheric Dispersion Module functionality enhancement by introduction of numerically efficient algorithms. Final Report of the “RODOS / METADM – enhance” Project Contract Nº 516492 (FI6R). [Google Scholar]
- Ratto C.F., Festa R., Romeo C., Frumento O.A., Galluzzi M. (1994) Mass-consistent models for wind fields over complex terrain: The state of the art, Environ. Softw. 9, 247-268. [CrossRef] [Google Scholar]
- Sasaki Y. (1958) An objective analysis based on the variational method, J. Met. Soc. Japan 36, 77-88. [Google Scholar]
- Sasaki Y. (1970) Some basic formalism in numerical variational analysis, Mont. Weather Rev. 98, 875-883. [Google Scholar]
- Seibert P., Beyrich F., Gryning S.-E., Joffre S., Rasmussen A., Tercier Ph. (1997) Mixing Height Determination for Dispersion Modelling, Report of Working Group 2. In: COST Action 710 – Final Report, EUR 18195 EN. European Commission. [Google Scholar]
- Taylor G.I. (1921) Diffusion by continuous movements, Proc. Lond. Math. Soc. 20, 169-211. [Google Scholar]
- Thomson D.J. (1987) Criteria for the selection of stochastic models of particle trajectories in turbulent flows, J. Fluid Mech. 180, 529-556. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.