Civil Engineering Reference
In-Depth Information
Furthermore, JRodos includes possibilities and tools for facilitating the adapta-
tion to regional or national conditions. The extent of adaptation can be very
different, depending on the demands on the system. For instance, when automatic
diagnostic calculations belong to the task list, a connection to local measurement
systems is necessary. Prognostic calculations require the connection to national
weather forecasting data for the near-range, and, if necessary, also for the far range.
In general, local maps can be added in JRodos without major problems. Whether
or not the geo-referenced computation data base (elevation, land use, population
number, soil type and agricultural production) needs refinement depends on the
degree in which local data differ from the data contained in the default database,
and also on the availability of region-specific data. It can turn out to be quite
difficult to obtain data especially about soil types, agricultural production and
consumption habits, as became apparent, for instance, during the customization
for Russia.
Incorporating a new language into JRodos is straightforward. However, inte-
grating a new language can be demanding when not only the user interface but also
all result trees and manuals are to be translated.
References
1. Benz G, Ehrhardt J, Fischer F, P¨sler-Sauer J, Rafat M, Schichtel T, Sch¨ le O, Steinhauer C
(1994) Inhalte und Funktionen der Pilotversion I von RODOS/RESY. Bericht KfK 5259
2. Ehrhardt J, P¨sler-Sauer J, Sch¨ le O, Rafat M, Richter J (1993) Development of RODOS, a
comprehensive decision support system for nuclear emergencies in Europe - an Overview.
Radiat Prot Dosimetry 50:195-203
3. Ehrhardt J, Weis A (eds) (2000) RODOS: Decision support system for off-site nuclear
emergency management in Europe, Final report of the RODOS project, European Commis-
sion, Brussels. Report EUR 19144, ISBN No. 92-828-9773-7, inclusive. 2 CDs with all
technical documents of the RODOS system
4. Raskob W, Hugon M (eds) (2010) Enhancing nuclear and radiological emergency manage-
ment and rehabilitation: Key Results of the EURANOS Project. Radioprotection 45(5 Suppl
´
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ment) (© EDP Sciences)
5. Ievdin I, Trybushnyi D, Zheleznyak M, Raskob W (2010) RODOS re-engineering: aims and
implementation details. In Raskob W, Hugon M (eds) Enhancing nuclear and radiological
emergency management and rehabilitation: key results of the EURANOS European project.
Radioprotection 45(5 Suppl
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ment): S181-S189
6. Andronopoulos S, Davakis E, Bartzis J G, Kovalets I (2010) RODOS meteorological pre-
processor and atmospheric dispersion model DIPCOT: a model suite for radionuclide disper-
sion in complex terrain. In Raskob W, Hugon M (eds) Enhancing nuclear and radiological
emergency management and rehabilitation: key results of the EURANOS European project.
Radioprotection 45(5 Suppl´ment): S77-S84
7. P¨sler-Sauer J (2007) Description of the atmospheric dispersion model ATSTEP,
Forschungszentrum Karlsruhe GmbH, on Wikipedia, including a link to the model description
report:
http://en.wikipedia.org/wiki/ATSTEP
,
or directly at:
http://www.rodos.fzk.de/Docu
8. Mikkelsen T, Larsen S E und Thykier-Nielsen S (1984) Description of the Risø puff diffusion
model “RIMPUFF”. Nucl Technol 67: 56-65
