Mapa de zonas agroclimáticas de la cuenca del río San Miguel, Sonora, México

Se propone una metodología para generar mapas de zonas agroclimáticas para la cuenca del Río San Miguel, Sonora, México, utilizando datos disponibles de temperatura, precipitación y elevaciones del terreno, a partir de los cuales se calcularon modelos de evapotranspiración, humedad disponible y la relación entre los diferentes parámetros climáticos, considerando la elevación como el factor determinante en el comportamiento de las variables climáticas. Los mapas generados pueden ser utilizados como una aproximación inicial con propósitos de planeación regional

Tridimensional-Temporal-Thematic Hydroclimate Modeling of Distributed Parameters for the San Miguel River Basin

A geographic database (GDB) for the San Miguel river basin has been built by integrating data from multiple sources for analysis and graphical representation of diverse physiographic features and hydroclimate phenomena such as rainfall, temperature, soil-evaporation and topography, among others. This database allowed us to combine digital maps and images along with thematic information and spatially- referenced vector data. Moreover, further geographical referencing and validating processes enabled us to accurately represent continuous data through discrete data structures which fit the mathematical models used in representing the physical phenomena at the study site. In this paper we discuss some significant progress on models generated for the analysis of existing records for a season with measurable rainfall at the San Miguel river basin during the period from June 1st to September 30th of 2005

Tridimensional-Temporal-Thematic Hydroclimate Modeling of Distributed Parameters for the San Miguel River Basin

Abstract. A geographic database (GDB) for the San Miguel river basin has been built by integrating data from multiple sources for analysis and graphical representation of diverse physiographic features and hydroclimate phenomena such as rainfall, temperature, soil-evaporation and topography, among others. This database allowed us to combine digital maps and images along with thematic information and spatially-referenced vector data. Moreover, further geographical referencing and validating processes enabled us to accurately represent continuous data through discrete data structures which fit the mathematical models used in representing the physical phenomena at the study site. In this paper we discuss some significant progress on models generated for the analysis of existing records for a season with measurable rainfall at the San Miguel river basin during the period from June 1st to September 30th of 2005