Barbosa, SofiaAlmeida, JoséDiamantino, CatarinaCarvalho, EdgarPinto, Mariana2022-05-192022-05-192021PURE: 42762765PURE UUID: 02bb5708-a64d-4db4-adae-2d086758c741http://hdl.handle.net/10362/138262The 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.10723693engContamination plume migrationK-means of PCA scoresgroundwater and mine water monitoringspatial-temporal hydrochemical trendsjournal article