Resumo

VALCARCE ORTEGA, Rosa María; SUAREZ GONZALEZ, Oscar; RODRIGUEZ MIRANDA, Willy  e  VEGA CARRENO, Marina. Data mining to aquifer vulnerability assessment. Rev cuba cienc informat [online]. 2021, vol.15, n.2, pp.1-23.  Epub 01-Jun-2021. ISSN 2227-1899.

The maps of vulnerability to contamination of the aquifers are part of an early warning system to avoid the deterioration groundwater quality. Weighted index overlay methods are commonly used to map aquifer vulnerability. These methods have disadvantages that indicate the need to apply alternative methods that introduce the least number of a priori considerations in the parameters processing and allow a more precise interpretation of the final results. The objective of this research was to evaluate the vulnerability to contamination of groundwater in the Almendares-Vento karstic basin, Havana, Cuba, by using the data mining technique, and to compare the results obtained by applying the RISK methods, which is a weighted index overlay method to study karstic aquifers. The variables selected to apply this unsupervised classification technique was: aquifer lithology, topographic slope of the terrain, soil attenuation index to pollutants, fault density per km2 and presence of direct infiltration zones. The cluster analysis achieved greater spatial discrimination and definition of areas with different degrees of vulnerability, demonstrating its high resolution power.

Palavras-chave : aquifer vulnerability; data mining; K-means; Almendares-Vento basin.

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