%0 Journal Article %1 WOS:000261309000016 %A Machado, Carlos Jose Freire %A Santiago, Maria Marlucia Freitas %A Frischkorn, Horst %A Filho, Josue Mendes %C PO BOX 824, PRETORIA 0001, SOUTH AFRICA %D 2008 %I WATER RESEARCH COMMISSION %J WATER SA %K Araripe Cariri Q-mode R-mode analysis; basin; factor sedimentary valley} {hydrogeochemistry; %N 5 %P 651-656 %T Clustering of groundwaters by Q-mode factor analysis according to their hydrogeochemical origin: A case study of the Cariri Valley (Northern Brazil) wells %V 34 %X Factor analysis was applied to 56 groundwater samples collected front wells located in the Araripe Sedimentary Basin, in the north-cast of Brazil. The parameters are a set of 9 physicochemical, chemical, and isotope data, constituted by electrical alkalinity and In R-mode factor analysis, conductivity (EC), ionic concentrations or Ca2+, Mg2+, Na+, K+, Cl-, So(4)(2-), alkalinity and delta O-18 parts per thousand . 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 arm 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 II groups classified according to their inherent characteristics, related to their hydrogeological origin.

@article{WOS:000261309000016, abstract = {Factor analysis was applied to 56 groundwater samples collected front wells located in the Araripe Sedimentary Basin, in the north-cast of Brazil. The parameters are a set of 9 physicochemical, chemical, and isotope data, constituted by electrical alkalinity and In R-mode factor analysis, conductivity (EC), ionic concentrations or Ca2+, Mg2+, Na+, K+, Cl-, So(4)(2-), alkalinity and delta O-18 parts per thousand . 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 arm 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 II groups classified according to their inherent characteristics, related to their hydrogeological origin.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {PO BOX 824, PRETORIA 0001, SOUTH AFRICA}, author = {Machado, Carlos Jose Freire and Santiago, Maria Marlucia Freitas and Frischkorn, Horst and Filho, Josue Mendes}, biburl = {https://www.bibsonomy.org/bibtex/23e125cdbb05487f2de6f721e82116ab5/ppgfis_ufc_br}, interhash = {c2b9b104c141fd41274160a441bb99e1}, intrahash = {3e125cdbb05487f2de6f721e82116ab5}, issn = {0378-4738}, journal = {WATER SA}, keywords = {Araripe Cariri Q-mode R-mode analysis; basin; factor sedimentary valley} {hydrogeochemistry;}, number = 5, pages = {651-656}, publisher = {WATER RESEARCH COMMISSION}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {Clustering of groundwaters by Q-mode factor analysis according to their hydrogeochemical origin: A case study of the Cariri Valley (Northern Brazil) wells}, tppubtype = {article}, volume = 34, year = 2008 }