Author(s)

Oliver López-Corona^1,2*, Oscar Escolero Fuentes³, Eric Morales-Casique³, Pablo Padilla Longoria⁴, Tomás González Moran⁵

¹Instituto de Investigación sobre Desarrollo Sustentable y Equidad Social, Universidad Iberoamericana, Ciudad de México, México.
²Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, Mexico City, Mexico.
³Instituto de Geología, Universidad Nacional Autónoma de México, Ciudad de México, México.
⁴Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, México.
⁵Instituto de Geofísica, Universidad Nacional Autónoma de México, Ciudad de México, México.

In this paper we used several data mining techniques to analyze the coevolution of hydrogeological and socioeconomical data for the Toluca Valley in Mexico. We found non trivial relations between two historic data bases that make clear that groundwater and economy may be much more linked than it was thought before. In particular, we found that hydrogeological data trends change during economical crisis and election years in Mexico. This shows that different macroeconomical policies implemented by several administrations have a direct impact in the way groundwater is used. We also found that hydrogoelogical data evolve in the direction of population transformation from rural to urban, which could represent a whole paradigm shift in groundwater management with profound repercussions in policy making.

Data Mining, Economy, Data Science, Groundwater

López-Corona, O. , Fuentes, O. , Morales-Casique, E. , Longoria, P. and Moran, T. (2016) Data Mining of Historic Hydrogeological and Socioeconomic Data Bases of the Toluca Valley, Mexico. Journal of Water Resource and Protection, 8, 522-533. doi: 10.4236/jwarp.2016.84044.