Ziel
1. Atmospheric dispersion model chain:
A new and comprehensive real-time flow and dispersion model chain has been established in order to complement the existing RODOS near-range (0-20 km) dispersion model ADSTEP (a segmented Gaussian plume model), consisting of the following codes and modules (the number in parenthesis refer to the partner(s) providing code and documentation):
PAD - a meteorological preprocessor provided by ENE
MCF - a hilly terrain mass consistent wind model provided by GRS
LINCOM - an extremely fast "wind over hilly terrain" wind model
RIMPUFF - a real-time atmospheric dispersion puff model by Risø, including a new gamma dose module (Version R.3.0).
2. Meteorological data
Local (on-site) weather stations
This feature has been tested used extensively during the simulation of field experiments, but a need for a more general pre-preprocessor for such data of various quality has emerged, and will result in a proposal for study contract during the 4. Frame Work Program (EU).
Experience has been gained with on-line data transfer from numerical weather forecast (NWF) centers: The operational weather forecast center at DMI have provided additional weather data for the period Sep 8-21 '93. Further, DMI is now daily transferring forecast data to the Danish Nuclear Emergency Center.
DMI and Risø has furthermore assessed data transfer requirements for an operational RODOS center supplied by on-line numerical weather information on the European scale. The concept is found suitable for real-time on-line connection.
3. Experimental
Extensive experimental evaluation have been undertaken by comparing the near range model results with data from atmospheric diffusion experiments, both regarding the near range models themselves and also by using the model chain to transfer dispersion to the long-range modules.
4. Data assimilation and backfitting activities
The group has obtained experience with both backfitting and with data assimilation via different projects during the reporting contacting period:
Data assimilation with RIMPUFF -Version UoL
A version of RIMPUFF has been developed by RODOS partner UoL that accommodates data assimilation to real-time radiological observations based on Bayesian statistical methods.
Source determination
A version of RIMPUFF was used by Russian JSP-1 partners at SPA-TYPHOON, Obninsk for source term determination during the Tomsk -7 accident.
5. Uncertainty measures
Presentation of uncertainty in long-range particle models
In connection with the long-range particle model 3DRAW, one partner has demonstrated the use of color-coding the graphical displays of particle positions in the 3DRAW model according to uncertainty.
Effects of orography(2)
One partner has also estimated the enhancements in wet-deposition introduced by underlaying orography
6. Quality assurance and version control of code
First RIMPUFF benchmark (ref RODOS DOC)
A first RIMPUFF workshop on "Quality Assurance and Version Control" was held at Risø in January 1995. Version control of RODOS software reside by code authors to the extent possible.
Automated software and code control
Partners from IMPCOL have initiated an automatic procedure for quality assuring of RODOS codes.
7. RODOS(A) documentation
Extensive documentation has been prepared, cf. 1) RODOS(A) included below, and 2) references included by individual partners in the included progress reports by partners.
This is an umbrella proposal for future subgroup coordination of activities relating to atmospheric dispersion for the real-time decision support system:
Development of a comprehensive decision-aiding system for
off-site emergency management
(Contract Bi7-045)
In this work priority will be given to real-time dispersion and deposition assessments on the meso and regional-scale ranges with special considerations for providing the decision support system with codes consisting of user-friendly and interactive menus, interactive graphical systems, etc.
In addition, new and interesting challenges for the real-time decision support system includes now and forecasting meteorology of winds and precipitation, and also "on-line" data handling and transfer of large quantities of prognostic met-data from operational and numerical weather forecast centres in Europe.
Furthermore, it is envisioned to continue those activities initiated during phase I with respect to integration of model results with measurements (back-fitting and data assimilation), in addition to continuing efforts regarding appropriate model interpretation and clear presentation of results, - taking due account of the uncertainties in the assessment.
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4000 Roskilde
Dänemark