Avaliação e expressão da incerteza de medições oceanográficas em boias /

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Fragoso, Igor Afonso
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Rio de Janeiro
Brasil
Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
Programa de Pós-Graduação em Engenharia Oceânica
UFRJ
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
BMO
Link de acesso: http://hdl.handle.net/11422/12565
Resumo: The concept of measurement uncertainty considers as a result not a single value but an interval where the value of the measured quantity will be included with a specified degree of confidence. This definition then determines that uncertainty is always associated with a measurement and not only with its process, that is, every measurement has its respective uncertainty. The field of application of measurement uncertainty measurement and expression covers all measurement activities, from field or floor measurement to fundamental research, establishing procedures for this. The present work proposes its application in measurements made in the marine environment, based on data available to users, following the guidelines in the Guide to Expression of Uncertainty in Measurement (GUM). As an example, we evaluated the uncertainties of measurements made by PNBOIA and REMO meteo-oceanographic buoys of wind, waves and marine currents. These assessments have shown that the uncertainties associated with time series data are strongly influenced by their estimators and that studies on the subject are strongly recommended. The results obtained do not include all the sources of uncertainty that could impact the measured measurements, however, it is evidenced that the evaluation and expression of the uncertainty of the analyzed measurements, make the results more realistic.