Detalhes bibliográficos
| Ano de defesa: |
2013 |
| Autor(a) principal: |
CABRAL NETO, José Gomes
 |
| Orientador(a): |
CANTALICE, José Ramon Barros |
| Banca de defesa: |
PISCOYA, Victor Casimiro,
SILVA, Vicente de Paula |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Biometria e Estatística Aplicada
|
| Departamento: |
Departamento de Estatística e Informática
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5008
|
Resumo: |
The lack of a better knowledge to further the proper management of water systems and soil of Brazilian semiarid contributes to maintain the social inequalities which are subject to local populations. The adjust of hydrologic data to probability density functions, and the application of Detrended Fluctuation Analysis method to quantify the long-range correlations in non-stationary time series hydrological contribute to a better use of water resources in the environment semiarid and reduction of the risk of economic loss. This way, the information of hydrological variables of blade height and flow of the Stream catchment Jacu in the semiarid and region of Pernambuco were used and it was found that the maximum and minimum blade height and flow of semiarid watershed Jacu best adjusted to Weibull distributions, Gumbel, Log-Normal and Gamma. The Detrended Fluctuation Analysis method showed the existence of persistent long-range correlations, which represents an important property of stochastic processes generating this phenomenon. The series of blade heights showed persistence stronger than the series of flows. In smaller scales fluctuation softer, represented by exponents , and larger scales showed persistent fluctuations, represented by exponents. |
