Articles liés à Data mining for aquifer vulnerability assessment: Applicatio...

Data mining for aquifer vulnerability assessment: Application of the K-means algorithm for vulnerability assessment of the Almendares-Vento karst basin. - Couverture souple

Suárez, Oscar Antonio; Valcarce, Rosa Ma.

 
9786204488509: Data mining for aquifer vulnerability assessment: Application of the K-means algorithm for vulnerability assessment of the Almendares-Vento karst basin.
Couverture souple
ISBN 10 : 6204488503 ISBN 13 : 9786204488509
Editeur : Our Knowledge Publishing, 2022

Synopsis

Aquifer contamination vulnerability maps are part of an early warning system to prevent deterioration of groundwater quality. Weighted index overlay methods are commonly employed to perform aquifer vulnerability mapping, but they present a set of disadvantages that indicate the need to apply alternative methods that introduce the least number of a priori considerations in the processing of the parameters to be used and allow a more accurate interpretation of the final results. The objective of this research was to evaluate the vulnerability to contamination of groundwater in the Almendares-Vento karst basin in Havana province, Cuba, using the data mining technique of cluster analysis, and to compare the results with those obtained by applying the RISK method, which is a method of superposition of weighted indices for the study of karst aquifers.

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Éditeur
Our Knowledge Publishing
Date d'édition
2022
Langue
anglais
ISBN 10 
6204488503
ISBN 13 
9786204488509
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
Personne responsable
non disponible