In the aftermath of the Chernobyl nuclear accident and following more than ten years of research and development, the Real time On-line Decision Support system (RODOS) offers a wide range of alternatives to dealing in an effective and efficient fashion with an accidental release of radioactivity to the environment in Europe. The system is intended to provide assistance to decision-makers throughout the various phases of the accident, covering the plume phase (prediction of the atmospheric dispersion), the post-plume phase (assessing the impact of the contamination on the food chain through both aquatic and terrestrial pathways), and the evaluation of the effectiveness of countermeasures issued to protect the public and the environment again...
Assimilation of observations is a powerful tool to improve the predictive capabilities of models for...
Within the EURANOS project data assimilation (DA) approaches have been successfully applied in two a...
Assimilation of observations is a powerful tool to improve the predictive capabilities of models for...
Model predictions for a rapid assessment and prognosis of possible radiological consequences after a...
The task of the decision support in the case of a radiation accident is to provide up-to-date inform...
developments in exploitation of data assimilation in early and late phase of radiation accident 1Hof...
Decision makers must react in a prompt and appropriate manner in various emergency situations. The b...
The development of RODOS, a comprehensive, Real-time, On-line DecisiOn Support system for nuclear em...
A major collaboration between IPSN and NRPB has recently commenced with the intention of developing ...
A major collaboration between IPSN and NRPB has recently commenced with the intention of developing ...
International audienceIn the event of an accidental atmospheric release of radionuclides from a nucl...
International audienceIn the event of an accidental atmospheric release of radionuclides from a nucl...
International audienceIn the event of an accidental atmospheric release of radionuclides from a nucl...
ABSTRACT Decision makers must react in a prompt and appropriate manner in various emergency situatio...
After a large-scale emission of radioactivity into the atmosphere in the case of a nuclear accident ...
Assimilation of observations is a powerful tool to improve the predictive capabilities of models for...
Within the EURANOS project data assimilation (DA) approaches have been successfully applied in two a...
Assimilation of observations is a powerful tool to improve the predictive capabilities of models for...
Model predictions for a rapid assessment and prognosis of possible radiological consequences after a...
The task of the decision support in the case of a radiation accident is to provide up-to-date inform...
developments in exploitation of data assimilation in early and late phase of radiation accident 1Hof...
Decision makers must react in a prompt and appropriate manner in various emergency situations. The b...
The development of RODOS, a comprehensive, Real-time, On-line DecisiOn Support system for nuclear em...
A major collaboration between IPSN and NRPB has recently commenced with the intention of developing ...
A major collaboration between IPSN and NRPB has recently commenced with the intention of developing ...
International audienceIn the event of an accidental atmospheric release of radionuclides from a nucl...
International audienceIn the event of an accidental atmospheric release of radionuclides from a nucl...
International audienceIn the event of an accidental atmospheric release of radionuclides from a nucl...
ABSTRACT Decision makers must react in a prompt and appropriate manner in various emergency situatio...
After a large-scale emission of radioactivity into the atmosphere in the case of a nuclear accident ...
Assimilation of observations is a powerful tool to improve the predictive capabilities of models for...
Within the EURANOS project data assimilation (DA) approaches have been successfully applied in two a...
Assimilation of observations is a powerful tool to improve the predictive capabilities of models for...