Dimitri Treebushny

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Model predictions for a rapid assessment and prognosis of possible radiological consequences after an accidental release of radionuclides play an important role in nuclear emergency management. Radiological observations, e.g. dose rate measurements, can be used to improve such model predictions. The process of combining model predictions and observations,(More)
An approach that simplifies software development of the model based decision support systems for environmental management has been introduced. The approach is based on definition and management of metadata and data related to computational model without losing data semantics and proposed methods of integration of the new modules 5 into the information(More)
The architecture and prototype implementation of the Model Environment system G. Donchyts, D. Treebushny, A. Primachenko, N. Shlyahtun, and M. Zheleznyak Ukrainian Center of Environmental and Water Projects, Kiev, Ukraine now at: WL/Delft Hydraulics, Delft, The Netherlands Received: 16 October 2006 – Accepted: 16 November 2006 – Published: 18 January 2007(More)
Assimilation of observations is a powerful tool to improve the predictive capabilities of models for radionuclide transport and fate. We describe results of numerical experiments on assimilation of the data on radionuclide contamination of the Black Sea in the result of Chernobyl accident using the three-dimensional model of circulation and radionuclide(More)
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