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.
|Number of pages||10|
|Journal||International Journal of Geological and Environmental Engineering|
|Publication status||Published - 2021|
- Contamination plume migration
- K-means of PCA scores
- groundwater and mine water monitoring
- spatial-temporal hydrochemical trends