TITLE:
Data Mining of Historic Hydrogeological and Socioeconomic Data Bases of the Toluca Valley, Mexico
AUTHORS:
Oliver López-Corona, Oscar Escolero Fuentes, Eric Morales-Casique, Pablo Padilla Longoria, Tomás González Moran
KEYWORDS:
Data Mining, Economy, Data Science, Groundwater
JOURNAL NAME:
Journal of Water Resource and Protection,
Vol.8 No.4,
April
29,
2016
ABSTRACT: 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.