Computational Decision Support Systems Applied to Decision-Making Process in the Emergency Planning of the Angra dos Reis Nuclear Power Complex – Brazil

Corbiniano Silva, Nilton Oliveira Moraes, Luiz Claudio Gomes Pimentel, Paulo Fernando Lavalle Heilbron Filho, Luiz Landau, Filipe Souza, Fabiana Guimarães Resende Gobbo, Rafael Vieira Silva

Abstract


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.

Keywords


Decision support systems; Nuclear emergency management; Dispersion of radionuclides, WRF; HYSPLIT; GIS

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DOI: https://doi.org/10.11137/2018_3_292_304

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