Sistemas Computacionais de Suporte à Decisão Aplicados ao Processo de Tomada de Decisão no Planejamento de Emergência do Complexo Nuclear de Angra dos Reis - Brasil
Industrial accidents pose risks to the entire environment located in the area of influence of the enterprises, especially when they are affected by the atmospheric dispersion of pollutants emitted, as in the case of a nuclear power plant, where the concern with the evacuation of the population is...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal do Rio de Janeiro
2019-03-01
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| Series: | Anuário do Instituto de Geociências |
| Subjects: | |
| Online Access: | http://www.anuario.igeo.ufrj.br/2018_03/2018_3_292_304.pdf |
| Summary: | Industrial accidents pose risks to the entire environment located in the area of influence of the enterprises, especially when
they are affected by the atmospheric dispersion of pollutants emitted, as in the case of a nuclear power plant, where the concern with
the evacuation of the population is the main priority in critical situations , which reinforces the implementation of actions to support
emergency planning and its management, whose support tools, among them the computational modeling that, based on atmospheric
models and geographic information systems, are essential in the decision making process. Thus, based on the Angra dos Reis nuclear complex and the impacts that may affect its surroundings, studies using the integrated use of computational platforms served
to evaluate the risks and consequences of a hypothetical accidental event, including the calculation of the thermo- source of nuclear
fuel, meteorological characteristics, mechanisms of atmospheric dispersion of pollutants, as well as socio-environmental aspects of
the region. Meteorological data (wind regime) characterize the wind field from the WRF model, which subsidized the dispersion of
radionuclides calculated in the HYSPLIT, information associated with socioenvironmental data (landslides, population density, etc.),
incorporated in a GIS database. The results demonstrate the importance of the integrated use of computational systems as tools that
support decision-making, potentializing the application of solutions that contribute to support actions and guidelines of planning and
governance in emergency situations. |
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| ISSN: | 0101-9759 1982-3908 |