Hydrochemical Contamination Profiling and Spatial-Temporal Mapping with the Support of Multivariate and Cluster Statistical Analysis

Sofia Barbosa, José Almeida, Catarina Diamantino, Edgar Carvalho, Mariana Pinto

Research output: Contribution to journalArticlepeer-review

2 Downloads (Pure)

Abstract

The aim of this work was to test a methodology able to generate spatial-temporal maps that can synthesize simultaneously the trends of distinct hydrochemical indicators in an old radiumuranium tailings dam deposit. Multidimensionality reduction derived from principal component analysis and subsequent data aggregation derived from clustering analysis allow to identify distinct hydrochemical behavioral profiles and generate synthetic evolutionary hydrochemical maps.
Original languageEnglish
Number of pages10
JournalInternational Journal of Geological and Environmental Engineering
Volume15
Issue number9
Publication statusPublished - 2021

Keywords

  • Contamination plume migration
  • K-means of PCA scores
  • groundwater and mine water monitoring
  • spatial-temporal hydrochemical trends

Fingerprint

Dive into the research topics of 'Hydrochemical Contamination Profiling and Spatial-Temporal Mapping with the Support of Multivariate and Cluster Statistical Analysis'. Together they form a unique fingerprint.

Cite this