Modelando precipitação extrema no Brasil pela teoria dos valores extremos

Pereira, Paulo Vitor da Costa

Use este identificador para citar ou linkar para este item: http://repositorio.uem.br:8080/jspui/handle/1/4363

Autor(es):	Pereira, Paulo Vitor da Costa
Orientador:	Isolde Terezinha Santos Previdelli
Título:	Modelando precipitação extrema no Brasil pela teoria dos valores extremos
Título(s) alternativo(s):	Modeling daily rainfall in Brazil with extreme value theory
Banca:	Silvia Lopes de Paula Ferrari - USP
Banca:	Eniuce Menezes de Souza - UEM
Palavras-chave:	Teoria estatística bayesiana;Decisões estatísticas;Modelo hierárquico bayesiana;Precipitação pluviométrica;Análise;Análise estatística;Brasil.;Bayesian hierarchical model;Penultimate bias;Precipitation field;Return level map;Small sample bias;Brazil.
Data do documento:	2016
Editor:	Universidade Estadual de Maringá
Resumo:	: The accurate modeling of extreme events is growing in relevance, particularly in the environmental sciences in which such events can be seen as a result of climate change. In particular, measuring rainfall risk is also important for the design of hydraulic structures (dams, levees, drainage systems, bridges, etc.) and for flood mapping and zoning. The Brazilian regulatory agency, Agência Nacional de Águas (ANA), makes available rainfall series for 11,368 rain stations throughout Brazil, some of them dating from the 19th century. One of our goals was to produce, using the framework of extreme value theory, maps with reliable estimates of the 25-year return level of a extreme rainfall for each locality covered by ANA. Such dataset present many complex challenges: first, evaluating its quality; then, modeling spatial extremes over large random fields; modeling temporal nonstationarity of the extreme rainfall process due to natural climate seasonality and due to a possible trend owing to climate change; correcting biases resulting from misspecification of the model or from a small sample. In this study, we tackle all these issues. We perform a detailed quality control, and we make a deep discussion of biases resulting either from misspecification of the model or from a small sample, while providing important information regarding the modeling of rainfall extremes, and complementing recent previous studies. In particular, the shape parameter of the extreme-value model seems to have a mean asymptotic value of 0.06.
URI:	http://repositorio.uem.br:8080/jspui/handle/1/4363
Aparece nas coleções:	2.5 Dissertação - Ciências Exatas (CCE)

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