Análise da Umidade Relativa do Ar em Regiões Homogêneas do Estado do Rio Grande do Sul

Detalhes bibliográficos
Ano de defesa: 2011
Autor(a) principal: Vaghetti, Naile Nunes
Orientador(a): Diniz, Gilberto Barbosa
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Pelotas
Programa de Pós-Graduação: Programa de Pós-Graduação em Meteorologia
Departamento: Meteorologia
País: BR
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://guaiaca.ufpel.edu.br/handle/123456789/2206
Resumo: The knowledge of relative humidity and its interactions with other variables helps plan of various activities, such as the operation of aeration systems for storing grain and seed, the cooling of environments for breeding and maintenance for environmental comfort. The Rio Grande do Sul state, in function of its geographical position, is a region strongly influenced by meteorological systems, in which the behavior of the relative humidity needs further study. The objective of this work was the study of the relative humidity behavior in the state of Rio Grande do Sul, was used data from monthly averages of 26 meteorological stations in the period 1975 to 2009. For this purpose, the homogeneous regions were determined through analysis of grouping and the grouping method of Ward that has better consistent with the climatic characteristics of the state, in which has been obtained four regions: R1, R2, R3 e R4. For all regions, was made a climatologically study through statistical parameters in order to analyze the climatic variability of this variable. The spatial distribution of relative humidity allowed observing that it has a high pattern in the entire state, being the coastal region the most humid. The relative humidity has only in Regions 2 and 3, a significant linear trend over time, with monthly increase of 0.006% and 0.005%, respectively. During the thirty five years, the monthly increase was 2.52% for the region 2 and 2.1% for the region 3. Was also applied the technique of harmonic analysis to humidity relative data. The proposed models of this harmonic analysis expressed the seasonality of this data with more than 80% of representatively, using for this, two or three sine waves.