Unveiling Groundwater Quality—Vulnerability Nexus by Data Mining: Threats Predictors in Tulancingo Aquifer, Mexico

  • Marín-Celestino A
  • de los Ángeles Alonso-Lavernia M
  • de la Luz Hernández-Flores M
  • et al.
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Abstract

… Water samples were collected six times—three times in a rainy season and a further three in the … Part II: a new method based on clustering of multivariate time series. Int J Electr Power …

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Marín-Celestino, A. E., de los Ángeles Alonso-Lavernia, M., de la Luz Hernández-Flores, M., Árcega-Santillán, I., Romo-Gómez, C., & Otazo-Sánchez, E. M. (2020). Unveiling Groundwater Quality—Vulnerability Nexus by Data Mining: Threats Predictors in Tulancingo Aquifer, Mexico (pp. 171–199). https://doi.org/10.1007/978-3-030-24962-5_8

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