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The goal of this research was to study the spatial dynamics of precipitation in the State of Alagoas, located in the Northeast of Brazil. To answer the aim of the research, geostatistical techniques were employed for the construction of rain maps. The results found in this research evidenced a great variability of rainfalls distribution. The East of Alagoas has the greatest accumulated precipitation, whereas in Hinterland, the rainfalls are scarce. The results obtained in this study can help the agencies responsible for the management of water resources in decision making and in preventing environmental disasters caused by the excess or the scarcity of rainfalls. [ABSTRACT FROM AUTHOR]

The recorded historical series of precipitation are usually available for short periods of time and with many failures. The use of mathematical modeling to simulate rainfall is a tool used to circumvent this problem and to simulate the operation of water systems in different scenarios. The present study applies mathematical modeling to the hourly pluviometric precipitation data simulation. A pluviographical data set from October 1980 to December 2007 was used in the study. Precipitation data sets were obtained through daily pluviometric digitalization from the Meteorologic Station of Epagri at Urussanga, in southern Santa Catarina, Brazil (latitude 28° 31' S and longitude 48° 19' W). To simulate the hourly rain series, the stochastic model was modified based on the Bartlett-Lewis rectangular pulses model with six parameters. Those parameters were fitted by minimizing a function related to the analytical expressions that define the average, variance, and autocorrelation coefficient at lag 1 and the probability of a dry period related to the estimated values from the observed data. Ten series were simulated for 100 years of data. Data analyses and results showed that fitting Bartlett-Lewis model parameters makes it possible to simulate hourly rainfall while preserving precipitation statistical properties at several temporal aggregation levels. In general, the probability of dry periods tended to be overestimated. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify proteins in seminal plasma of goats raised in the Northeast of Brazil related with precipitation index and semen quality. Semen was obtained from three bucks and evaluated to the microscopic and macroscopic parameters. The profile of seminal plasma proteins was performed by analysis of two-dimensional electrophoresis. Volume, acrosome integrity and total proteins had significant difference (P<0.05) between the periods of high (1.7mL, 90.3% and 372g mL-1, respectively) and low (1.2mL, 80.3% and 494μg mL-1, respectively) precipitation index. It was detected during high and low precipitation index, 47 and 49 spots of proteins with molecular weight of 4 to 106kDa and 15 to 97kDa, and isoelectric point of 3.00 to 8.96, and 4.48 to 9.83, respectively. Only in the period of high precipitation index were observed groups of proteins with 13kDa and 45kDa. It can be concluded that semen of Alpine American goats raised in the Northeast of Brazil has best quality when obtained in the period of high precipitation index, which can be attributed to the presence of protein with 13kDa and 45kDa. [ABSTRACT FROM AUTHOR]