Ajuste de modelos a gran escala de la precipitación hídrica en la provincia de Chimborazo utilizando datos ráster y vectoriales

Abstract

The aim of this degree work was to adjust large-scale global models of water precipitation in the province of Chimborazo, by analysing the series recorded at the stations of the Alternative Energies and Environment Group (GEAA) for the year 2020. In addition, the global model was determined and adjusted to the behaviour of the province of Chimborazo. Contours were generated and adjusted in ArcGIS with the database of the GEAA stations and data from the global model. The adjustment of the global models was done through the creation of a database of water precipitation with eight GEAA stations located in the province. Three global models were studied and chosen based on their spatial resolution, which was adjusted to the recorded series. Once the model was determined, the contours were adjusted in ArcGIS using the Kriging-ordinary interpolation method, which generated maps with predictive capacity. For the statistical analysis, the cross-validation technique was used for water precipitation, giving an error of 4%, which is within the acceptable range and gives validity to the model used. It was concluded that the Power Data Access Viewer model chosen is adapted to the conditions of the province of Chimborazo. It is recommended to continue with the research and study of global models that fits the conditions of the province.