1. Clustering of groundwaters by Q-mode factor analysis according to their hydrogeochemical origin: A case study of the Cariri Valley (Northern Brazil) wells
- Author
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Carlos José Freire Machado, Josué Mendes Filho, Maria Marlúcia Freitas Santiago, and Horst Frischkorn
- Subjects
hydrogeochemistry ,Alkalinity ,Araripe sedimentary basin ,Mineralogy ,Aquifer ,010501 environmental sciences ,Management, Monitoring, Policy and Law ,010502 geochemistry & geophysics ,01 natural sciences ,Applied Microbiology and Biotechnology ,Cluster analysis ,Waste Management and Disposal ,Q-mode factor analysis ,0105 earth and related environmental sciences ,Water Science and Technology ,geography ,Measurement method ,geography.geographical_feature_category ,Hydrogeology ,R-mode factor analysis ,Mode (statistics) ,Sedimentary basin ,hydrogeochemistry, R-mode factor analysis, Q-mode factor analysis, Araripe sedimentary basin, Cariri valley ,Cariri valley ,Geology ,Groundwater - Abstract
Factor analysis was applied to 56 groundwater samples collected from wells located in the Araripe Sedimentary Basin, in the north-east of Brazil. The parameters are a set of 9 physicochemical, chemical, and isotope data, constituted by electrical conductivity (EC), ionic concentrations of Ca2+, Mg2+, Na+, K+, Cl−, SO42−, alkalinity and δ18O0/00. In R-mode factor analysis, the first 3 factors explain 62% of the variance, their loadings allowing the interpretation of hydrogeochemical processes that take place in the area. Q-mode factor analysis on the 56 water samples decreases space dimensionality to 6, explaining 93% of the total database information. With the aid of a scalar and angular measurement method, objects were clustered, resulting in 11 groups classified according to their inherent characteristics, related to their hydrogeological origin.Keywords: hydrogeochemistry, R-mode factor analysis, Q-mode factor analysis, Araripe sedimentary basin, Cariri valley
- Published
- 2018