Understanding the decision-making process in disaster risk monitoring and early-warning: a case study within a control room in Brazil (2018)
- Authors:
- Autor USP: PEREIRA, JOÃO PORTO DE ALBUQUERQUE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.ijdrr.2018.01.034
- Subjects: SISTEMAS DE INFORMAÇÃO; GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS; SEGURANÇA DE REDES; ESTUDO DE CASO
- Keywords: Disaster monitoring; Control room; Brazilian early warning center
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Disaster Risk Reduction
- ISSN: 2212-4209
- Volume/Número/Paginação/Ano: v. 28, p. 22-31, Jun. 2018
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
HORITA, Flávio E. A e ALBUQUERQUE, João Porto de e MARCHEZINI, Victor. Understanding the decision-making process in disaster risk monitoring and early-warning: a case study within a control room in Brazil. International Journal of Disaster Risk Reduction, v. 28, n. Ju 2018, p. 22-31, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijdrr.2018.01.034. Acesso em: 12 fev. 2026. -
APA
Horita, F. E. A., Albuquerque, J. P. de, & Marchezini, V. (2018). Understanding the decision-making process in disaster risk monitoring and early-warning: a case study within a control room in Brazil. International Journal of Disaster Risk Reduction, 28( Ju 2018), 22-31. doi:10.1016/j.ijdrr.2018.01.034 -
NLM
Horita FEA, Albuquerque JP de, Marchezini V. Understanding the decision-making process in disaster risk monitoring and early-warning: a case study within a control room in Brazil [Internet]. International Journal of Disaster Risk Reduction. 2018 ; 28( Ju 2018): 22-31.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1016/j.ijdrr.2018.01.034 -
Vancouver
Horita FEA, Albuquerque JP de, Marchezini V. Understanding the decision-making process in disaster risk monitoring and early-warning: a case study within a control room in Brazil [Internet]. International Journal of Disaster Risk Reduction. 2018 ; 28( Ju 2018): 22-31.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1016/j.ijdrr.2018.01.034 - Identifying elements at risk from OpenStreetMap: the case of flooding
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Informações sobre o DOI: 10.1016/j.ijdrr.2018.01.034 (Fonte: oaDOI API)
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