ANÁLISE TEMPORAL DA PRECIPITAÇÃO EM BACIAS HIDROGRÁFICAS DE RIO VERDE, SUDOESTE DE GOIÁS, BRASIL

Abstract

The present study aims to understand precipitation variation over time through accumulated data in days, months, or years. Given the growing scenario of climate change, investigating possible alterations in precipitation patterns is essential. This study analyzed precipitation in the river basins of the Rio Verde region, Goiás, Brazil, over a 40-year period (1982 to 2022) to identify patterns and trends and determine whether precipitation in the region has increased, remained stable, or decreased. The methodology involved obtaining historical data from the National Water Agency (ANA) and the National Institute of Meteorology (INMET). For spatial data, the Water Resources Information System (SIEG) was used, while data manipulation was performed using QGIS software. Statistical analysis was conducted in Excel, with calculations for annual confidence intervals, while the R programming language was used for monthly confidence intervals. The results indicated a high variability in annual rainfall patterns, with a slight increasing trend in precipitation. Thus, the study concludes that the region has two welldefined seasons, and the precipitation pattern is stable with a slight upward trend. The research can be applied to sustainable water resource management and local agronomy for potential optimization of planting and harvesting.