Supportive elements to the decision-making process in the emergency planning of the Angra dos Reis Nuclear Power Complex,Brazil |
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| Authors: | Corbiniano Silva Luiz Claudio Gomes Pimentel Luiz Landau Paulo Fernando Lavalle Heilbron Filho Fabiana Guimarães Resende Gobbo Pryscila de Jesus de Sousa |
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| Institution: | 1.Civil Engineering Program (PEC), Alberto Luiz Coimbra Institute of Post Graduate Studies and Research (COPPE),Federal University of Rio de Janeiro (UFRJ),Rio de Janeiro,Brazil;2.Department of Meteorology, Institute of Geosciences,Federal University of Rio de Janeiro (UFRJ),Rio de Janeiro,Brazil;3.Directorate of Radioprotection and Nuclear Safety,Brazilian Nuclear Power Commission (CNEN),Rio de Janeiro,Brazil;4.Faculty of Architecture and Urbanism (PROARQ/PROURB),Federal University of Rio de Janeiro (UFRJ),Rio de Janeiro,Brazil;5.Department of Geoprocessing,Angra dos Reis City Hall,Angra dos Reis,Brazil |
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| Abstract: | Accidents in nuclear power plants are problems of great complexity, mainly due to their consequences, such as the population evacuation from the enterprise influence area. The decision-making and emergency plans must be well articulated and require good local geographic space knowledge and the interactions of their environments. This study is a contribution to the emergency plans for the Almirante Álvaro Alberto Nuclear Power Plant, currently the only nuclear complex in Brazil, located in Angra dos Reis, Rio de Janeiro. The study confirmed the region’s main geoenvironmental aspects as winds and rainfall, landslides and population density were evaluated as important elements in the local emergency process. Their integrated analysis supported scenario identification and critical regional points and highlighted population evacuation escape routes. These important results characterized the support to local emergency management actions and guidelines. Furthermore, the geographic information systems was configured as an integrated spatial and temporal analysis platform to associate meteorological, geological/geomorphological and socio-economic data, playing a key role to support the evacuation planning in the event of nuclear power plant accidents. |
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