SOUZA, L. R.; http://lattes.cnpq.br/6998508642723274; SOUZA, Leandro Rodrigues de.
Resumo:
The main goal of this study was to use the IPHS1 hydrologic model to simulate the process of rainfall-runoff in the São Francisco river watershed (BHSF) and check on the
hydrological response of Sobradinho and Itaparica reservoirs in 2007. In addition, was
applied Principal Component Factor Analysis to determine the pattern and rainfall
regime in the BHSF in order to check the weather systems that operate in the Basin and
its interaction with observed hydrographs. Were applied statistical tests to check KMO
and Bartlett adjustment of the degree of multivariate data. After adjustment of the
hydrological model in 2005, it was found that the model could IPHS1 represent
faithfully the behavior of the flow at specific points on the basin in 2007, including
validated the model by testing Willmott. Furthermore, the BHSF had four rain regimes
by retaining only four common factors that explain situations anomalies observed this
year, perhaps due to El Niño and La Niña that alter the pattern of precipitation in the
study area. The four factors explain 84.04% of the total variance of precipitation
observed, in the first factor explains 45.98% of the variance and showed high
correlations with rainfall occurring in the months from March to September, which are
is influenced mainly by the performance Eastern Waves (EW), the Intertropical
Convergence Zone (ITCZ) and maritime breezes. The second factor explained 18.42%
of the variance of the data and showed significant correlations with rainfall from
November to February, and is possibly related to the convergence zone of the South
Atlantic (SACZ) and Frontal Systems. The third factor explained 11.36% of data
variance and showed positive correlations with rainfall in October, and this be may
related to Frontal Systems. Finally, it is clear that the relative contributions to the fourth
factor, with 9.13% of the variance of the data represented by the month of February, and
can lines is associated with instabilities. Furthermore, tests and Bartlett KMO were
statistically significant in this study. It is concluded that the model IPHS1 can be used to
predict the flow in the BHSF, but it is necessary to investigate the precipitation systems
on a watershed in order to understand the impact they can have on dams and reservoirs
when they act so anomalous.