Geração de dados de precipitação para uma bacia hidrográfica.

Abstract

This research aims to obtain a synthetic daily rainfall data generation model for the 0scar Barros Watershed, representative of the semi-arid region of the Brazilian Northeast, using daily rainfall data recorded over a period of 7 years (1970-1976). To achieve this goal, three distinct steps were adopted. The first step referred to the generation of average rainfall over the basin for a period of 24 hours. The second stage dealt with the generation of rainy and non-rainy day sequences. rainfall, and the third was to distribute for each rainfall station the average precipitation heights generated, based on a model of analysis of variance - two classifications. To eliminate the seasonal effect of precipitation sequences, the twelve months of the year were divided into monthly periods, in which the sequences could be considered homogeneous. For each of the periods, the sequences were generated separately. The performance of the generation model, observed by comparing the generated and recorded sequences, indicated that the sequences of the generated precipitation satisfactorily preserved the statistical characteristics of the time series. registered.