Detalhes bibliográficos
| Ano de defesa: |
2006 |
| Autor(a) principal: |
SILVA JÚNIOR, Arundo Nunes da |
| Orientador(a): |
MONTENEGRO, Abelardo Antônio de Assunção |
| Banca de defesa: |
STOSIC, Borko,
MONTENEGRO, Suzana Maria Gico Lima |
| 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: |
|
| Palavras-chave em Inglês: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4525
|
Resumo: |
This work analyzes the spatial variability of the saturated hydraulic conductivity using the Bayesian approach. There is a large interest in agriculture on determining the hydraulic conductivity of a cultivated area. This interest is mainly due to the direct relationship between the hydraulic conductivity and the amount of irrigation that the place receives. The study area is located in an aluvial valley of the semi-arid zone of Pernambuco state. The Hydraulic conductivity was spatially modelled and, through the geostatistical kriging technique the valley was mapped. A total of 98 measurement points have been analyted, with hydraulic conductivity measurements from piezometer tests in the saturated part of the valley, using slug tests. Both classical statistics and Bayesian methodology have been used in the study of the spatial variability. It has been observed the log normality of the data, and the variability structure estimated by the classic geostatistical found to be compatible with that estimated by the Bayesian methodology. |
