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Principal component analysis is applied to 309 groundwater chemical data information from wells in the Serra Geral Aquifer System. Correlations among seven hydrochemical parameters are statistically examined. A four-component model is suggested and explains 81% of total variance. Component 1 represents calcium-magnesium bicarbonated groundwaters with long time of residence. Component 2 represents sulfated and chlorinated calcium and sodium groundwaters; Component 3 represents sodium bicarbonated groundwaters; and Component 4 is characterized by sodium sulfated with high fluoride facies. The components' spatial distribution shows high fluoride concentration along analyzed tectonic fault system and aligned on northeast direction in other areas, suggesting other hydrogeological fault systems. High fluoride concentration increases according to groundwater pumping depth. The Principal Component Analysis reveals features of the groundwater mixture and individualizes water facies. In this scenery, it can be determined hydrogeological blocks associated with tectonic fault system here introduced.

RESUMOA popularização dos dispositivos móveis suscitou a divulgação de diversos aplicativos voltados ao geoprocessamento. Esse cenário vem a impulsionar um caminho colaborativo em torno dos projetos de softwares livres. O presente estudo teve por objetivo mostrar uma metodologia autônoma para o levantamento de dados em campo de pesquisa em geociências a partir das geotecnologias livres QGIS para Android e EpiCollect. O uso dessas ferramentas computacionais provou ser eficiente para a coleta de dados e navegação em tempo real em campo. A combinação delas também mostrou a versatilidade de aplicá-la em atividades acadêmicas e profissionais sem custos extras.Palavras-chave: Geoprocessamento livre, QGIS, EpiCollect, metodologia, coleta de dados, geociências. THE USE OF OPEN SOURCE GEOTECHNOLOGIES: QGIS AND EPICOLLECT ON THE DATA ACQUISITION IN GEOSCIENCES ABSTRACTThe popularity of mobile devices has been encouraged a lot of geoprocessing applications development. This scenery is inciting a collaborative way around free softwares. This study shows a methodology to collect field data using free geotechnologies like QGIS for Android and EpiCollect. The use of these computational tools was efficient to data collection and real time navigation in field. This tools combined use shown the versatility to apply to both academic and professional activities with no extra costs.