Identificação e avaliação dos fatores de ocorrência de secas na bacia do rio Guandu - Espírito Santo

• Ano de defesa: 2012
• Autor(a) principal: Batista Júnior, Walter
• Orientador(a): Justino, Flávio Barbosa
• Banca de defesa: Silva, Welliam Chaves Monteiro da , Rocha, Genelício Crusoé , Neves, Josemir Araújo
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Doutorado em Meteorologia Agrícola
• Departamento: Agrometeorologia; Climatologia; Micrometeorologia
• País: BR
• Palavras-chave em Português: Climatologia; Seca; Bacia do Rio Guandu
• Palavras-chave em Inglês: Climatology; Drought; Guandu River Basin
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::METEOROLOGIA::CLIMATOLOGIA
• Link de acesso: http://locus.ufv.br/handle/123456789/1514

In order to understand the dynamics of climate-related drought and to identify the degree of susceptibility of the municipalities that configured the Guandu River basin to the drought phenomenon, this study applied the Standardized Precipitation Index (SPI) and the Index of Susceptibility to Drought (ISD), by using time series of monthly precipitation from 33 years of data, derived from 14 rainfall stations of the National Water Agency (ANA) in and in the vicinity of the Guandu River Basin. It has been utilized series of SPI obtained from moving averages of 3, 6 and 12 months (SPI3, SPI6 and SPI12) under different treatments to study the 1970, 1980 and 1990 decades. Based on these evaluation has been concluded: Higher frequence of occurrence of droughts, in the central and northern basin, with direct consequences on the crops of short cycle, hydrological droughts can happen over throughout the basin, with direct consequences on perennial crops. The 90's decade showed greater incidence of dry and wet events as compared to 70's and 80's, which may reveal that the region is experience higher occurrence of drought (meteorological, hydrological and agricultural), well as more intense and frequent floods. Consequently, the present results validate the use of SPI to characterize different types of droughts, by using moving averages to calculating the precipitation rate. Concerning the study of the ISFs, the results demonstrate the feasibility of its use in the context of hydrological basin and also in semiarid regions outside of the Northeast in Brazil.