Análisis espacio temporal de la precipitación mensual, en la depresión momposina para los años 2012 a 2015. Caso de estudio: municipio de Mompox.

Abstract

The use of temporal space modeling of di erent variables such as precipitation being this participant in the hydrological process, is an important alternative for the prediction of these environmental phenomena in regions with limited data or lack of observed data; In this work we nd the development of temporal space modeling through the application of di erent geostatistical concepts, based on a sample of precipitation data in 68 stations distributed in the Depresión Momposina for the period between January of the years 2012 to 2015 and December of the same period, taking into account that, when we work the temporal dimension, one thing we should keep in mind is the multitemporal analysis of the variable under study. The objective of this work is the analysis of precipitation being this a process that intervenes in the hydrological cycle, to evaluate spatio - temporal distribution through the analysis, distribution and spatial interpolation in the study area. The next work is divided into four important parts, in the rst place is the problematic generated by the phenomenon and the justi cation for the development of the project; in the sixth issue we work on the explanation of the theory related to hydrology, the hydrological cycle, precipitation, accompanied by three fundamental themes that are the analysis of time series, space - time geostatistics and the function of covariance and temporal space variogram, in the seventh part is the part related to the materials and methodology used, the description of the study area, the database used as well as the necessary programs for the development of the proposed methodology, consisting of three fundamental phases being the visualization of data, exploration of information and modeling, giving way to the eighth numeral where the results obtained for each of the phases of the methodology are described and ending with the conclusions and recommendations for future research.