咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Data Mining of Historic Hydrog... 收藏

Data Mining of Historic Hydrogeological and Socioeconomic Data Bases of the Toluca Valley, Mexico

Data Mining of Historic Hydrogeological and Socioeconomic Data Bases of the Toluca Valley, Mexico

作     者:Oliver López-Corona Oscar Escolero Fuentes Eric Morales-Casique Pablo Padilla Longoria Tomás González Moran Oliver López-Corona;Oscar Escolero Fuentes;Eric Morales-Casique;Pablo Padilla Longoria;Tomás González Moran

作者机构:Instituto de Investigación sobre Desarrollo Sustentable y Equidad Social Universidad Iberoamericana Ciudad de México México Centro de Ciencias de la Complejidad (C3) Universidad Nacional Autónoma de México Mexico City Mexico Instituto de Geología Universidad Nacional Autónoma de México Ciudad de México México Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas Universidad Nacional Autónoma de México Ciudad de México México Instituto de Geofísica Universidad Nacional Autónoma de México Ciudad de México México 

出 版 物:《Journal of Water Resource and Protection》 (水资源与保护(英文))

年 卷 期:2016年第8卷第4期

页      面:522-533页

学科分类:081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 

主  题:Data Mining Economy Data Science Groundwater 

摘      要: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.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分