The pluvial precipitation is the main hydrology variable input in the hydrological cycle and the knowledge of their spatial and temporal behavior is basic material for hydrological studies, watershed and water resource management, among others. The surface water produced in this basin is essential to the development of the Axis Anápolis-Goiânia-Brasília and recently, with the increasing of water demand, it has been reported conflicts by the water use. Thus, it appears that the development of hydrological studies aimed for better understanding and utilization of water resources are strategic for the development of the region. In this way, this work purpose to map the average monthly and annual precipitation in the João Leite watershed, using geostatistical techniques. It was evaluated the spherical, exponential and gaussian semivariogram models, adjusted by the weighted least squares method, being the model used for mapping by kriging the one that produced the lowest average error indicated by cross validation. It was found a good performance of geostatistical techniques in mapping the average monthly and annual precipitation, indicated by small errors, which can be highlighted the exponential model, with the best results in the most of the studied events.
geostatistics; environment; hydrology
