ORIGINAL ARTICLE Stable isotopes, carbon-14 and hydrochemical composition from a basaltic aquifer in São Paulo State, Brazil Didier Gastmans1 • Amauri Antônio Menegário1 • Ian Hutcheon2 Received: 3 February 2016 / Accepted: 6 February 2017 / Published online: 13 February 2017 � Springer-Verlag Berlin Heidelberg 2017 Abstract The Cretaceous Serra Geral Aquifer (SGA) is contained within one of the largest continental flood basalts in the world, reaching a thickness up to 1700 m in the center of the Paraná Basin. The SGA is one of the most important groundwater reservoirs in northeastern São Paulo State (Brazil), responsible for water supply to cities and agriculture. In order to evaluate the geochemical and iso- topic evolution of SGA, as well as to determine the mean residence time, a groundwater sampling campaign was carried out over the SGA in São Paulo State (Brazil) from January to April 2013. Two main hydrochemical facies were recognized: Ca–Mg–HCO3 related to water–rock interaction reactions in basaltic outcrop, such as mineral dissolution due to atmospheric CO2 uptake, and alkaline Na–HCO3 groundwater, evolved from mixing with groundwater from the underlying Guarani Aquifer System. Stable isotope (d18O and d2H) ratios range from -8.87 to -5.32% VSMOW and -61.31 to -31.64% VSMOW, respectively, closely following the GMWL. Spatial and temporal variations in isotope ratios are associated with the South Atlantic convergence zone activities and the type of rain responsible for recharge. Values for d13C vary from -21.53 to -7.11% VPDB, while 14C activities vary from 1.2 pcm to more than 100 pcm, presenting a trend to enrichment and decrease in 14C activities westward, con- cordant with the regional groundwater flow direction. Most recent groundwaters have d13C ratio contents mostly con- sistent with C3 plants. Keywords Serra Geral Aquifer � Hydrochemistry � Stable isotopes � Groundwater age � Brazil Introduction Basaltic rock aquifers represent an important groundwater resource, constituting excellent aquifer units, hosting water supply in several parts of the world, mainly due to the excellent quality of the stored water, generally character- ized by low salinity. Basaltic lava flows present geologic structures that provide discontinuities responsible for groundwater storage and flow in these units (Deutsch et al. 1982; Domenico and Schwartz 1998; Dafny et al. 2006). Due to heterogeneities associated with groundwater flow in basaltic aquifers, mainly related to discontinuities in the lava flows, different approaches have to be used as auxil- iary tools to deduce groundwater flow within basaltic aquifers (Léonardi et al. 1996; Rosenthal et al. 1998; Locsey and Cox 2003; Dafny et al. 2006; Bretzler et al. 2011; Alemayehu et al. 2011; Gastmans et al. 2016). Evaluation of groundwater residence times based on 14C measurements, combined with stable isotope data and the hydrochemical evolution, is being increasingly used, especially in studies focused on understanding the flow condition and origin of groundwater in fractured and heterogeneous aquifers. Hydrochemical studies enable the & Didier Gastmans gastmans@rc.unesp.br Amauri Antônio Menegário amenega@rc.unesp.br Ian Hutcheon ian@earth.geo.ucalgary.ca 1 Environmental Studies Center, São Paulo State University (UNESP), Av. 24A, 1515 – Bela Vista, Rio Claro, SP CEP 13506-900, Brazil 2 Applied Geochemistry Group, Department of Geoscience, University of Calgary, 2500 University Drive NW, Calgary, AB, Canada 123 Environ Earth Sci (2017) 76:150 DOI 10.1007/s12665-017-6468-1 http://orcid.org/0000-0002-1340-3373 http://crossmark.crossref.org/dialog/?doi=10.1007/s12665-017-6468-1&domain=pdf http://crossmark.crossref.org/dialog/?doi=10.1007/s12665-017-6468-1&domain=pdf definition of chemical reactions, due to processes of water– rock interaction that are responsible for the chemical characteristics, while stable isotope ratios provide infor- mation about the origin of the groundwater and past cli- matic conditions during recharge. 14C activities determine the residence time of the water in the aquifer. These methods can also be used to identify quality changes in groundwater associated with anthropogenic sources of contamination (Plummer et al. 1990; Rosenthal et al. 1998; Glynn and Plummer 2005; Betheke and Johnson 2008; Coetsiers and Walraevens 2009; Blaser et al. 2010; Bretzler et al. 2011; Abid et al. 2014; Scheiber et al. 2015; among others). In the southeastern portion of South America, basalts from the Serra Geral Formation cover an area of over 1,200,000 km2, representing one of the largest observed continental basaltic floods. Lava flows, mostly basalts and andesites (Milani et al. 1994), are up to 1700 m thick toward the center of theParaná SedimentaryBasin.This stratigraphic unit represents an important aquifer, responsible for public water supply, irrigation and industrial uses, largely in the states of Paraná, Santa Catarina, Rio Grande do Sul andMato Grosso do Sul, Brazil, where most part of hydrochemical studies of groundwater in the SGA have been carried out. These studies allowed groundwater chemical characteriza- tion and the establishment of the hydraulic relationship with the underlying unit, the Guarani Aquifer (Bittencourt et al. 2003; Lastoria et al. 2006; Boff et al. 2006; among others). Due to the importance of Mesozoic sedimentary aquifers for water supply in the western portion of São Paulo State (Bauru and Guarani Aquifer), the hydrodynamics and hydrochemistry have been studied since the 1970s (Gallo and Sinelli 1980; Sracek and Hirata 2002; Gastmans et al. 2010a, b; among others), and several conceptual models for groundwater flow and hydrochemical evolution have been formulated. However, geochemical evolution and deter- mination of residence times of the SGA in São Paulo State, based on chemistry, stable isotopes and radiogenic 14C, have not been yet studied extensively. The main purpose of this paper is to address questions regarding the regional functioning of the Serra Geral Aquifer in São Paulo State. This paper: (1) evaluates the geochemical characteristics of groundwater from SGA, (2) establishes recharge conditions based on the stable isotope composition of groundwater, (3) provides constrains on the mean resi- dence time of groundwater using radiocarbon age dates. Geological and hydrogeological settings Basalts of the Serra Geral Formation are present in the Paraná Magmatic Province (PMP), which constitutes one of the largest volcanic igneous manifestations of basic rocks in a continental area, inserted in Paraná Sedimentary Basin (Fig. 1). This magmatic province includes lava flows and intrusive basic rocks (sills and dykes) representing an important contribution to generation of continental crust during the Mesozoic related to the Atlantic breakout (Mi- lani et al. 1994). Some important structures from this intracratonic basin are associated with the breakout, such as the Ponta Grossa Arch located in Paraná State, whose axis strikes N45 W. Parallel to the arch important distension faults are recognized, up to the border between São Paulo and Paraná states, represented by the Paranapanema River. The radiometric ages indicate that volcanic activity began between 133 and 132 Ma, starting in the south and moving toward the north in a relatively short time interval of approximately 3 Ma (Renne et al. 1992, 1996; Ernesto et al. 1999). This vast volume of basaltic lavas reaches thicknesses up to 1700 m toward the center of the Paraná Sedimentary Basin and was deposited over the eolian sandstones of the Botucatu Formation. Breaks in magmatic events are marked by the occurrence of beds of sandstones interfingered with the basalt (‘‘intertrap sandstones’’) that originated by the movement of desert dunes over the basaltic substrate (Zalán et al. 1986; Scherer 2000). Three major lithotypes associated with the Serra Geral Formation are recognized based on petrographic and geo- chemical differences. The greatest part of the magmatic volume (up to 97%) is represented by basalts and andesites, while in the southern region of Brazil rhyodacites and rhyolites [Palmas (ATP) and rhyodacites and quartz latites Chapecó (ATC)] are recognized, representing, respec- tively, 2.5 and 0.5% of magmatic volume (Bellieni et al. 1986; Nardy et al. 2002). In São Paulo State there are mainly basalts of mafic to intermediate composition, con- sisting of plagioclase (mainly labradorite), pyroxene (augite and pigeonite) and olivine, mainly as pseudo- morphs, with modal percentages ranging from 25 to 50, 20 to 40 and 4%, respectively. Vesicular zones of variable thickness are recognized at the boundary between basaltic lava flow events. Secondary minerals forming amygdales fill these vesicles, including quartz, calcite, zeolites, fluo- rite and commonly greenish clays, probably of the cela- donite group (Machado et al. 2007). The weathering of basaltic rocks produces very deep soils in the southern portion of Brazil. Three main weathering pathways for plagioclase phenocrystals from basaltic rocks have been recognized: plagioclase to gibbsite; plagioclase to gels (amorphous silica) and gibbsite; and plagioclase to gels (amorphous silica), gibbsite and kaolinite. Pyroxenes weather to smectite and goethite or to goethite and gibbsite (Clemente and Azevedo 2007). The generic hydrogeological model for groundwater flow in the basalts of the Serra Geral Formation encom- passes permeable and impermeable zones for each lava 150 Page 2 of 16 Environ Earth Sci (2017) 76:150 123 flow event. At the top and bottom of each sequence a highly permeable zone is observed, associated with basalt weathering, and groundwater flow is associated with the occurrence of a vesicular basaltic layer that has extensive horizontal fractures. The central portion of each sequence represents an aquitard, where minor vertical movement of water is associated with vertical discontinuities (joints and fractures) (Rebouças and Fraga 1988). In the northeastern portion of the aquifer in São Paulo State, recharge toward the underlying unit, the Guarani Aquifer, was proposed (Wahnfried 2010; Fernandes et al. 2010). Based on chemical and isotopic tracers, groundwater flow was inferred to be predominantly along horizontal discontinu- ities in the basaltic rocks, and a lack of vertical flow through the geological lineaments identified by aerial sur- veys that limits recharge of the Guarani Aquifer by water from the Serra Geral basalts. Groundwater from the SGA has low electrical conduc- tivities, due to low total dissolved solids, and a wide range of pH values, from acid to alkaline. The chemical com- position shows the groundwater to be mainly Ca–HCO3 and Ca–Mg–HCO3 type (DAEE 1974, 1976; Campos 1993). In the northwestern region of São Paulo State hydrochemical anomalies have been recognized, charac- terized by TDS values up to 200 mg L-1, and associated with fractures or faults filled by hydrothermal mineraliza- tion. These may be due to contamination by more saline waters originating from underlying aquifers (DAEE 1976). In the northeastern portion of São Paulo State, ground- water flow in Serra Geral aquifer is driven by the topog- raphy, and the main rivers crossing the area represent local discharge of the aquifer. The existence of higher pressure head in wells drilled in the Guarani Aquifer System indi- cates the possibility of groundwater flow into the overlying basalts, and potentially, mixing of groundwater. SGA groundwater composition is directly related to the influence of water–rock interactions, mainly due to the dissolution of plagioclase and pyroxene, in the presence of atmospheric CO2, leading to secondary formation of kaolinite and releasing calcium, sodium, magnesium, silica and bicar- bonate to solution. Modifications in chemical composition of groundwater due to upward flow from Guarani Aquifer Fig. 1 Left map location map of the Serra Geral Aquifer, showing in detail the study area and the artesian zone of Guarani Aquifer System located along the Paraná River and in red the strike of the Ponta Grossa Arch (regional geological base map modified from OAS 2009). Right map location map of sampled wells showing the simplified groundwater potentiometric map for SGA in the study area, based on water level information from wells’ reports archived in DAEE (Dep. Águas e Energia Elétrica do Estado de São Paulo) (Local geological base map modified from DAEE/UNESP 1980) Environ Earth Sci (2017) 76:150 Page 3 of 16 150 123 along Rio Grande, state border between São Paulo and Minas Gerais states, were confirmed using NETPATH modeling (Gastmans et al. 2016). Methods Twenty-one groundwater samples were collected directly from water supply wells between January 2013 and April 2013. The location of sampled wells, drilled in basalts of the SGA, is presented in Fig. 1, and information about depth of the wells and elevation is presented in Table 1. The pH, electrical conductivity and temperature of each water sample were measured in situ. Each sample was filtered (0.45 lm), and part was acidified using HNO3 to pH\ 2 for cation analysis and part preserved refrigerated (*4 �C) for anion analysis. Samples collected for the determination of water isotopic ratios (d18O and d2H) were stored in 200-mL polyethylene bottles, avoiding the pres- ence of headspace inside to prevent evaporation. Samples collected for d13C and for 14C activity were stored in 500-mL amber glass bottles, also avoiding the presence of headspace to prevent CO2 isotopic exchange. Samples for cation and anion determination were delivered within a week to the laboratory, and samples for isotopic determi- nation were delivered at the end of the sampling campaign. Stable isotope ratios (d18O, d2H and d13C) and 14C activities (pmc) were analyzed in the Environmental Iso- tope Laboratory at the Department of Earth and Environ- mental Sciences at the University of Waterloo, Canada. d18O and d2H ratios were determined using laser absorp- tion spectroscopy, and the results reported as % relative to Vienna Standard Mean Ocean Water (VSMOW). 14C activities and d13C ratios were determined using accelera- tor mass spectrometry (AMS), with a precision of 0.4 pmc and 0.15%, respectively. The cation and anion concentrations in groundwater samples were determined in the Hydrogeology and Hydrogeochemistry Laboratory of the Department of Applied Geology IGCE/UNESP Rio Claro. Alkalinity was determined by titration, anions (F, Cl, NO3 and SO4) were measured by ion chromatography, and cations (Na, K, Ca, Mg and Si) were measured by ICP-AES. The quality of water analyses was checked by charge balance (Dmeq = 100•( P meq ? - P meq - )/( P meq ? ? P meq - )\ 10%). All samples were less than 10%, with samples ASG-SP-47 and ASG-SP-101 showing a difference of about 12%, acceptable for the purpose of this work. Results of field measured data, chemical and isotopic data are presented in Tables 1 and 2, respectively. The geochemical computer program PHREEQC (Par- khurst and Appelo 1999) was used to calculate the PCO2 in the groundwater, as well as saturation index for some mineral species (Table 2) at the temperature measured in the field. If the temperature was not measured, calculations were performed at 25 �C, which is considered to be the average temperature in the aquifer. To calculate individual groundwater residence times based on 14C activity, the modeling code NETPATH XL (Plummer et al. 1994; Parkhurst and Charlton 2008) was used. Results and discussion Groundwater flow in the study area for the SGA is driven by the topography, with flow from elevated areas located to the east, where basalts outcrop between 700 and 600 masl, and westward toward the main rivers that cross São Paulo State SW–NE (Grande, Tietê and Paranapanema rivers), about 300–350 masl. Two groundwater divides were rec- ognized, where sediments of the Bauru Group cover the SGA, accompanying the watershed division between these main rivers (Fig. 1). This behavior indicates that SGA in the study area represents an unconfined aquifer, at least in the outcrop zone, and the main rivers represent discharge zones for the aquifer. Along the major rivers in the western portion of São Paulo State, an important regional hydro- geological feature is observed, the artesian zone of the GAS, which indicates the possibility of upward ground- water flow from the underlying Guarani toward basaltic discontinuities (Fig. 1). Groundwater chemical and isotopic composition The amount of dissolved solids of SGA groundwater varies from 1.35 to 8.28 mmol L-1 (arithmetic mean of 4.61 mmol L-1), and electric conductivity (EC) varies from 48.3 to 413 lS cm-1 (arithmetic mean of 215.1 lS cm-1), reflecting the low content of solutes. Values of pH vary from 6.4 to 10.2 (arithmetic mean of 8.3), indi- cating the existence of acid and alkaline water in the aquifer. Table 3 summarizes the correlation between measured physicochemical parameters. EC and pH have a strong correlation (r = 0.86), mainly related to the control exerted over pH by CO3 and total alkalinity (r = 0.90 and 0.63, respectively), which represents the most abundant anion in SGA groundwater (Fig. 2) and explains the cor- relation between total alkalinity, EC and TDS (r = 0.90 and 0.92, respectively). Chloride and NO3 concentrations show a wide range of values (from 0.002 to 0.255 lmol L-1 Cl and from 0.001 to 0.463 lmol L-1 NO3) and have a good correlation (r = 0.82), which could indicate an anthropogenic origin for these compounds due to leakage of sanitation systems as observed in some cities of São Paulo State (Bertolo et al. 2006). This origin is corroborated by the low correlation 150 Page 4 of 16 Environ Earth Sci (2017) 76:150 123 Table 1 Hydrochemical data set (concentrations in mmol L-1) Sample Locality Date Alt. Well depth EC pH Temp m ls cm-1 (�C) ASG-SP-02 Jaú 14/01/13 497 150 237.0 7.2 24.3 ASG-SP-04 Jaú 14/01/13 550 150 102.2 7.2 24.2 ASG-SP-11 Jaboticabal 16/01/13 596 150 157.1 7.8 24.0 ASG-SP-16 Matão 18/01/13 531 180 370.0 9.9 26.7 ASG-SP-19 Novo Horizonte 18/01/13 422 300 215.0 9.0 27.0 ASG-SP-23 Reginópolis 19/01/13 452 250 254.0 9.9 27.5 ASG-SP-33 Zacarias 21/01/13 390 115 374.0 10.0 25.8 ASG-SP-37 José Bonifácio 22/01/13 405 125 326.0 10.0 27.9 ASG-SP-40 Avaré 05/03/13 616 110 48.3 6.4 23.3 ASG-SP-47 Marı́lia 06/03/13 468 300 413.0 10.2 26.5 ASG-SP-51 Ibirarema 07/03/13 481 120 104.0 7.8 24.4 ASG-SP-64 Orlândia 19/03/13 693 125 109.2 7.2 24.2 ASG-SP-66 Guará 20/03/13 644 145 96.4 7.2 28.0 ASG-SP-72 Colômbia 21/03/13 485 145 194.9 7.3 26.8 ASG-SP-77 Olı́mpia 22/03/13 476 161 247.0 8.0 25.2 ASG-SP-81 Cravinhos 22/03/13 690 115 115.7 7.6 23.9 ASG-SP-85 Icém 01/04/13 431 151 301.0 9.7 27.3 ASG-SP-88 Pontes Gestal 02/04/13 462 100 149.5 7.8 26.6 ASG-SP-99 Sant. Ponte Pensa 03/04/13 414 220 314.0 8.2 25.5 ASG-SP-101 Sta. Clara do Oeste 03/04/13 355 250 196.4 7.6 28.5 ASG-SP-106 Araraquara 05/04/13 661 135 192.0 7.9 nm HCO3 CO3 Total Alk. Cl NO3 SO4 F Na K Ca Mg Si Mass balance (mmol L-1) % 1.868 nd 1.868 0.255 0.229 0.026 0.007 0.423 0.031 0.644 0.444 1.065 4.37 0.829 nd 0.829 0.051 0.121 0.001 0.004 0.144 0.038 0.274 0.189 0.780 4.89 1.596 nd 1.596 0.002 0.001 0.000 0.004 0.207 0.182 0.462 0.190 0.997 2.70 1.573 1.015 2.588 0.014 0.001 0.031 0.024 4.006 0.009 0.021 0.005 0.605 4.69 1.655 0.126 1.781 0.076 0.040 0.098 0.012 2.375 0.003 0.039 0.003 0.566 4.89 0.919 0.810 1.729 0.032 0.001 0.012 0.007 2.597 0.016 0.064 0.037 0.680 3.90 1.408 1.155 2.563 0.009 0.001 0.022 0.011 4.480 0.008 0.013 0.000 0.602 8.84 1.096 1.030 2.126 0.014 0.001 0.047 0.010 3.558 0.005 0.013 0.001 0.602 4.63 0.542 nd 0.542 0.008 0.004 0.001 0.003 0.072 0.086 0.164 0.058 0.409 3.67 0.819 1.533 2.353 0.026 0.001 0.052 0.022 5.176 0.001 0.012 0.001 0.634 12.60 1.000 nd 1.000 0.019 0.038 0.000 0.002 0.144 0.025 0.319 0.188 0.691 5.52 1.029 nd 1.029 0.018 0.097 0.001 0.004 0.274 0.043 0.339 0.139 0.634 5.08 0.724 nd 0.724 0.060 0.181 0.001 0.003 0.592 0.017 0.145 0.062 0.360 2.60 1.254 nd 1.254 0.252 0.463 0.002 0.004 0.439 0.031 0.569 0.289 1.054 5.02 2.032 nd 2.032 0.235 0.369 0.008 0.003 0.887 0.056 0.753 0.176 0.584 2.69 1.060 nd 1.060 0.048 0.120 0.001 0.004 0.151 0.048 0.372 0.205 0.726 4.62 0.808 0.675 1.483 0.162 0.010 0.362 0.107 3.223 0.018 0.053 0.016 0.694 3.35 1.639 nd 1.639 0.013 0.032 0.000 0.001 0.866 0.035 0.334 0.101 0.488 2.50 3.343 nd 3.343 0.109 0.146 0.003 0.020 0.792 0.036 0.776 0.992 0.883 9.27 1.950 nd 1.950 0.085 0.091 0.001 0.008 0.280 0.095 0.604 0.551 1.150 11.35 1.375 nd 1.375 0.072 0.166 0.022 0.021 0.375 0.070 0.536 0.221 0.741 7.71 nm not measured, nd not detected Environ Earth Sci (2017) 76:150 Page 5 of 16 150 123 observed between Cl and Na (r = -0.22), excluding the possibility of groundwater recharge by precipitation affected by salt dissolution or evaporative enrichment of rainwater. Therefore, chloride cannot be used as a con- servative tracer to interpret residence times of groundwater using 14C. Concentrations of Cl ? NO3 are greater than the concentration of SO4 (usually\0.01 lmol L-1), and only one sample (ASG-SP-85) has high SO4 concentration. Dissolved cations are dominated by calcium and magne- sium, which do not have a good correlation with TDS or total alkalinity, but have a good correlation with each other (r = 0.80) and with HCO3 (r = 0.65 for Ca and r = 0.78 for Mg). Sodium concentration increase is observed, strongly correlated with EC, TDS, pH and CO3 (respec- tively, r = 0.86, r = 0.83, 0.94 and r = 0.96). The concentration of cations and anions in SGA groundwater allows the identification of two main hydro- chemical facies: Ca–Mg–HCO3 and Na–HCO3 waters, as presented in the Piper diagram (Fig. 2). Ca–Mg–HCO3 groundwater has Ca as the most abundant cation, followed by Mg, in variable relative concentrations, reaching ratios between Ca and Mg values close to 1. Relative concen- trations of Na and K in these samples are very low, but an increase in the contribution of Cl ? NO3 is observed. These samples show pH varying from acid to neutral val- ues. Na–HCO3 waters are characterized by the occurrence of Na as the most abundant cation, with relative concen- trations of Ca, Mg and K that are much smaller. An increase in SO4 is observed in two samples, and pH values indicate alkaline waters. The relationship between the isotopic ratios of oxygen and hydrogen of samples from SGA groundwater is pre- sented in Fig. 3, with the Global Meteoric Water Line (GMWL) and the Brazilian Tropical Meteoric Water Line (BTMWL) [d2H = 7.7 d18O ? 10.1 (r2 = 0.95)]. This latter line is based on isotopic data from stations located in the tropical region of Brazil (Cuiabá, Brasilia, Campo Grande, Rio de Janeiro and Porto Alegre) available in the GNIP database (IAEA/WMO 2006, available at http://iso his.iaea.org). SGA groundwater exhibits isotopic ratios from -59.6 to -34.5% VSMOW for d2H, and -8.8 to -5.4% VSMOW for d18O. Comparing the groundwater data to rainwater from GNIP stations shows that most groundwater has an isotopic signature similar to rainwater, and plots along the two meteoric lines, indicating a mete- oric origin for the recharge of this groundwater (Fig. 3). Spatial distribution of d18O (Fig. 4a) shows more enri- ched values for isotopic ratios in the southern zone of the Table 2 Isotopic data set and thermodynamic calculations Sample Locality d18O d2H d13C 14C SI_Calcite LogPCO2 SI_SiO2(a) SI_Chalcedony SI_Quartz % VSMOW % VPDB pmc ASG-SP-02 Jaú -6.31 -41.3 -15.34 105.73 -0.73 -2.15 -0.26 0.59 1.02 ASG-SP-04 Jaú -6.55 -40.17 -15.71 108.85 -1.41 -2.50 -0.39 0.45 0.88 ASG-SP-11 Jaboticabal -7.31 -45.13 -20.61 79.32 -0.33 -2.82 -0.29 0.56 0.99 ASG-SP-16 Matão -8.79 -59.55 -7.98 3.67 0.10 -5.08 -0.89 -0.05 0.37 ASG-SP-19 Novo Horizonte -7.34 -48.14 -12.72 22.39 -0.22 -4.02 -0.62 0.21 0.64 ASG-SP-23 Reginópolis -8.28 -52.97 -11.68 17.63 0.43 -5.31 -0.85 -0.02 0.41 ASG-SP-33 Zacarias -7.56 -50.58 -8.01 13.46 -0.10 -5.25 -0.93 -0.1 0.33 ASG-SP-37 José Bonifácio -7.61 -50.72 -8.64 12.48 -0.15 -5.35 -0.97 -0.14 0.28 ASG-SP-40 Avaré -6.48 -39.01 -19.87 80.37 -2.60 -1.88 -0.66 0.18 0.62 ASG-SP-47 Marı́lia -8.28 -55.83 -7.11 1.22 -0.14 -5.66 -1.06 -0.23 0.20 ASG-SP-51 Ibirarema -5.43 -34.49 -21.53 97.35 -0.67 -3.02 -0.45 0.39 0.82 ASG-SP-64 Orlândia -7.03 -46.21 -16.26 97.58 -1.22 -2.40 -0.48 0.36 0.79 ASG-SP-66 Guará -6.13 -41.34 -16.53 83.73 -1.68 -2.53 -0.76 0.07 0.49 ASG-SP-72 Colômbia -6.56 -41.44 -17.73 102.52 -0.81 -2.41 -0.28 0.55 0.98 ASG-SP-77 Olı́mpia -7.33 -45.14 -16.05 72.24 0.17 -2.92 -0.53 0.31 0.74 ASG-SP-81 Cravinhos -6.99 -43.11 -17.85 97.03 -0.78 -2.80 -0.42 0.42 0.86 ASG-SP-85 Icém -7.43 -50.51 -15.12 38.94 0.19 -5.08 -0.73 0.1 0.52 ASG-SP-88 Pontes Gestal -6.70 -43.94 -17.59 71.34 -0.42 -2.79 -0.62 0.22 0.64 ASG-SP-99 Sant. Ponte Pensa -6.41 -42.67 -18.41 67.53 0.55 -2.92 -0.36 0.48 0.91 ASG-SP-101 Sta. Clara do Oeste -6.77 -43.75 -12.63 36.24 -0.29 -2.51 -0.26 0.57 0.99 ASG-SP-106 Araraquara -7.28 -44.84 -14.16 97.4 -0.22 -2.98 -0.42 0.42 0.85 150 Page 6 of 16 Environ Earth Sci (2017) 76:150 123 http://isohis.iaea.org http://isohis.iaea.org SGA (sample ASG-SP-51), while in the northern and central basaltic outcrop zones the isotopic ratios are slightly depleted. The d13C ratios vary from -21.53 to -7.11% VPDB, with a trend to enrichment westward, concordant with the main groundwater flow direction. In the basalt outcrop, d13C presents variable values. In the northern portion d13C ratios are about -16.5% VPDB, while in the central zone these values are about -15.5% VPDB, and in the southern portion more depleted values are observed, about -21.5% VPDB (Fig. 4b). Considering the existence of equilibrium between the carbonate system in groundwater and the atmospheric CO2 in outcrop zones, as previously discussed, it is possible to calculate the values of d13C of CO2 using the following expression: d13Cg�eq ¼ dT � aea�g þ beb�g þ cec�g mHCO3 � � ð1Þ Table 3 Correlation matrix EC pH d13C 14C HCO3 CO3 Tot.Alk Cl NO3 EC 1.00 – – – – – – – – pH 0.86 1.00 – – – – – – – d13C 0.78 0.79 1.00 – – – – – – 14C 20.77 20.89 20.81 1.00 – – – – – HCO3 0.31 20.02 20.07 20.02 1.00 – – – – CO3 0.81 0.90 0.84 20.84 20.24 1.00 – – – Tot.Alk 0.86 0.63 0.54 20.62 0.72 0.50 1.00 – – Cl 0.10 20.22 20.17 0.31 0.33 20.30 0.08 1.00 – NO3 20.18 20.48 20.30 0.55 0.26 20.49 20.12 0.82 1.00 SO4 0.33 0.44 0.17 20.32 20.19 0.31 0.05 0.22 20.23 F 0.41 0.44 0.18 20.30 20.09 0.33 0.16 0.20 20.23 Na 0.86 0.94 0.85 20.89 20.13 0.96 0.57 20.22 20.46 K 20.44 20.50 20.53 0.38 0.15 20.50 20.22 20.08 0.02 Ca 20.25 20.60 20.54 0.62 0.65 20.69 0.09 0.58 0.69 Mg 20.03 20.38 20.36 0.35 0.78 20.47 0.36 0.38 0.38 Si 0.07 20.19 20.14 0.24 0.43 20.25 0.21 0.46 0.34 TDS 0.99 0.83 0.74 20.77 0.39 0.77 0.90 0.12 20.17 SO4 F Na K Ca Mg Si TDS EC – – – – – – – – pH – – – – – – – – d13C – – – – – – – – 14C – – – – – – – – HCO3 – – – – – – – – CO3 – – – – – – – – Tot.Alk – – – – – – – – Cl – – – – – – – – NO3 – – – – – – – – SO4 1.00 – – – – – – – F 0.95 1.00 – – – – – – Na 0.42 0.41 1.00 – – – – – K 20.26 20.21 20.57 1.00 – – – – Ca 20.36 20.26 20.70 0.48 1.00 – – – Mg 20.26 20.11 20.47 0.26 0.80 1.00 – – Si 20.08 20.01 20.30 0.41 0.61 0.64 1.00 – TDS 0.32 0.39 0.83 20.41 20.20 0.05 0.13 1.00 Correlation values in bold showing significance level q\ 0.001 Environ Earth Sci (2017) 76:150 Page 7 of 16 150 123 where dT is the measured d13C in groundwater; a, b and c stand for molarities of H2CO3, HCO3, and CO3 2-, respectively; ea–g, eb–g, ec–g are the fractionation factors between the carbon species at equilibrium; and mHCO3 is the total dissolved inorganic carbon content (mol L-1). Based on the range of values for calculated d13C of CO2 in soils, HCO3 concentrations and d13C of groundwater, three groups of samples can be distinguished. Group 01 is characterized by a large range of d13C values (from -21.53 to -14.16% VPDB), which do not have a strong correla- tion with HCO3 concentrations, probably due to calcite precipitation in samples that are oversaturated in calcite (ASG-SP-77 and 99) or related to the uptake of atmo- spheric CO2, that is responsible for decrease in the isotopic ratios in samples ASG-SP-11 and 51 (Fig. 5a). These groundwaters are Ca–Mg–HCO3 type. The gradual increase in alkalinity and pH corresponds to values of d13C more enriched, characteristic of the Group 02, which have d13C ranging from -15.11 to -11.68% VPDB. Group 03 is characterized bymore enriched groundwater, with d13C ranging from -8.64 to -7.11% VPDB (Fig. 5a). Groundwater fromGroups 02and03 ismostlyNa–HCO3 type. Fig. 2 Piper diagram. Samples from Groups 02 and 03 are marked with cross and black cross, respectively Fig. 3 d18O versus d2H cross-plot for SAGS groundwater from the study area. Brazilian Tropical Meteoric Water Line (BTMWL dashed line) and Global Meteoric Water Line (GMWL solid line) are shown 150 Page 8 of 16 Environ Earth Sci (2017) 76:150 123 For Group 01, the calculated values for d13C from CO2 present in the soil must be between -29.2 and -21.85% VPDB (Table 4), characteristic of plants with a C3 pho- tosynthetic cycle (Clark and Fritz 1997). The calculated value d13C of CO2 for samples from Group 03 is about -15% VPDB, while samples from Group 02 present intermediate values, about -20% VPDB (Table 4). 14C activities measured in SGA groundwater samples range from 108.8 to 1.22 percent modern carbon (pmc), and the relationship between 14C activities and d13C Fig. 4 Spatial distribution along the study area of d18O (a), d13C (b) and 14C activities (c) Fig. 5 a d13C versus total alkalinity, showing the increase in alkalinity accompanied for an increase in d13C. For samples from Group 01 no correlation is observed between the two variables; possible explanation is given in text. b d13C versus 14C activity showing the decrease in activity followed by the decrease in d13C Environ Earth Sci (2017) 76:150 Page 9 of 16 150 123 T a b le 4 S p ec ia ti o n o f ca rb o n at e sy st em , ca lc u la te d d1 3 C fo r C O 2 in so il an d ca lc u la te d re si d en ce ti m es S am p le d1 3 C (% V P D B ) 1 4 C (p m c) L o g P C O 2 H 2 C O 3 (m m o l L - 1 ) H C O 3 (m m o l L - 1 ) C O 3 (m m o l L - 1 ) d1 3 C -C O 2 (g ) (% V P D B ) A g es u n co rr ec te d M o o k F o n te s an d G ar n ie r R ev is ed F & G g as ex R ev is ed F & G so li d ex G ro u p 0 1 — o p en sy st em A S G -S P -0 2 2 1 5 .3 4 1 0 5 .7 3 2 2 .1 5 0 .2 4 7 1 .8 4 1 0 .0 0 1 2 2 2 .2 3 M o d er n M o d er n M o d er n M o d er n M o d er n A S G -S P -0 4 2 1 5 .7 1 1 0 8 .8 5 2 2 .5 0 0 .1 1 3 0 .8 2 1 0 .0 0 0 2 2 2 .6 0 M o d er n M o d er n M o d er n M o d er n M o d er n A S G -S P -1 1 2 2 0 .6 1 7 9 .3 2 2 2 .8 2 0 .0 5 3 1 .5 5 9 0 .0 0 5 2 2 8 .3 4 1 9 1 5 4 7 4 5 1 7 2 5 5 0 3 8 1 6 8 A S G -S P -4 0 2 1 9 .8 7 8 0 .3 7 2 1 .8 8 0 .4 8 0 0 .5 4 1 0 .0 0 0 2 2 3 .6 2 1 8 0 7 1 1 6 2 1 1 2 2 9 M o d er n A S G -S P -5 1 2 2 1 .5 3 9 7 .3 5 2 3 .0 2 0 .0 3 3 0 .9 7 8 0 .0 0 3 2 2 9 .2 2 2 2 2 3 6 4 5 4 7 4 3 9 3 6 M o d er n A S G -S P -6 4 2 1 6 .2 6 9 7 .5 8 2 2 .4 0 0 .1 4 0 1 .0 2 0 0 .0 0 1 2 2 3 .1 5 2 0 3 M o d er n M o d er n M o d er n M o d er n A S G -S P -6 6 2 1 6 .5 3 8 3 .7 3 2 2 .5 3 0 .0 9 5 0 .7 1 9 0 .0 0 0 2 2 3 .1 1 1 4 6 8 M o d er n M o d er n M o d er n M o d er n A S G -S P -7 2 2 1 7 .7 3 1 0 2 .5 2 2 2 .4 1 0 .1 2 8 1 .2 3 5 0 .0 0 1 2 2 4 .6 1 M o d er n M o d er n M o d er n M o d er n M o d er n A S G -S P -7 7 2 1 6 .0 5 7 2 .2 4 2 2 .9 2 0 .0 4 1 1 .9 6 3 0 .0 1 1 2 2 3 .7 7 2 6 8 8 1 3 0 2 M o d er n 1 5 4 0 M o d er n A S G -S P -8 1 2 1 7 .8 5 9 7 .0 3 2 2 .8 0 0 .0 5 6 1 .0 4 3 0 .0 0 2 2 2 5 .4 1 2 4 9 5 9 2 M o d er n 8 3 7 M o d er n A S G -S P -8 8 2 1 7 .5 9 7 1 .3 4 2 2 .7 9 0 .0 5 3 1 .6 0 9 0 .0 0 5 2 2 5 .0 6 2 7 9 2 2 7 9 8 8 6 4 3 0 1 4 M o d er n A S G -S P -9 9 2 1 8 .4 1 6 7 .5 3 2 2 .9 2 0 .0 4 1 3 .1 4 1 0 .0 2 9 2 2 6 .1 7 3 2 4 5 4 3 1 4 1 8 7 5 4 6 4 2 5 5 2 A S G -S P -1 0 6 2 1 4 .1 6 9 7 .4 2 2 .9 8 0 .0 3 6 1 .3 3 5 0 .0 0 5 2 2 1 .8 5 2 1 8 M o d er n M o d er n M o d er n M o d er n G ro u p 0 2 — m ix ed sy st em A S G -S P -1 9 2 1 2 .7 2 2 2 .3 9 2 4 .0 2 0 .0 0 3 1 .5 0 0 0 .0 8 6 2 2 0 .4 1 1 2 ,3 7 1 6 7 6 0 6 8 4 5 7 0 0 4 6 4 5 2 A S G -S P -2 3 2 1 1 .6 8 1 7 .6 3 2 5 .3 1 0 .0 0 0 0 .6 0 7 0 .2 8 0 2 1 9 .2 5 1 4 ,3 4 7 1 0 ,3 8 3 8 0 3 0 1 1 ,3 6 7 7 8 9 2 A S G -S P -8 5 2 1 5 .1 2 3 8 .9 4 2 5 .0 8 0 .0 0 0 0 .6 6 2 0 .1 9 7 2 2 2 .7 5 7 7 9 7 7 2 2 1 4 2 7 9 7 9 0 2 3 5 3 6 A S G -S P -1 0 1 2 1 2 .6 3 3 6 .2 4 2 2 .5 1 0 .0 9 6 1 .9 0 2 0 .0 0 4 2 1 9 .7 5 8 3 9 1 9 7 5 2 7 3 2 1 0 0 2 2 3 3 1 G ro u p 0 3 — cl o se d sy st em A S G -S P -1 6 2 7 .9 8 3 .6 7 2 5 .0 8 0 .0 0 0 1 .0 6 5 0 .4 9 9 2 1 5 .6 3 2 7 ,3 2 1 1 3 ,5 6 5 1 7 ,6 7 7 1 5 ,9 6 3 1 7 ,4 6 6 A S G -S P -3 3 2 8 .0 1 1 3 .4 6 2 5 .2 5 0 .0 0 0 0 .9 1 9 0 .5 3 6 2 1 5 .7 4 1 6 ,5 7 8 4 6 2 7 6 9 7 6 6 7 9 3 6 8 0 9 A S G -S P -3 7 2 8 .6 4 1 2 .4 8 2 5 .3 5 0 .0 0 0 0 .7 0 6 0 .4 2 2 2 1 6 .1 6 1 7 ,2 0 3 7 8 1 5 8 2 5 0 9 3 3 3 8 1 2 3 A S G -S P -4 7 2 7 .1 1 1 .2 2 2 5 .6 6 0 .0 0 0 0 .5 5 6 0 .5 2 5 2 1 4 .7 4 3 6 ,4 2 5 2 4 ,8 1 4 2 5 ,7 5 9 2 7 ,1 7 9 2 5 ,7 3 6 150 Page 10 of 16 Environ Earth Sci (2017) 76:150 123 content (r = -0.81) indicates the tendency of decreasing in 14C activity followed by an increase in d13C ratios. The relationship between TDS and 14C activities (r = -0.77) indicates a progressive increase in TDS associated with the decrease in 14C activities, indicating that longer ground- water residence time correlates with greater content of dissolved solids in groundwater. Spatial distribution of 14C activities indicates higher values in outcrop areas, repre- sented by samples from Group 01, decreasing toward the west, where samples from Groups 02 and 03 are present (Fig. 4c). Discussion Groundwater geochemical evolution for samples inGroup 01 ismostly related to the incongruent dissolution of plagioclase and pyroxene from basaltic rocks in the presence of atmo- spheric CO2, leading to secondary formation of kaolinite, releasing major cations (calcium, sodium and magnesium), silica and bicarbonate to solution, according to Eqs. 2 to 4, as previously discussed in Gastmans et al. (2016). As bicar- bonate represents the main anion dissolved in SGA ground- water, produced during mineral dissolution reactions by the uptake of atmospheric CO2, a proportional increase in alka- linity with respect to the sumof Na, Ca andMg concentration is expected, as shown in Fig. 6a, up to the point that groundwater reaches saturation with respect to calcite. Besides the release of cations and alkalinity, mineral weathering is responsible for the introduction of silica into groundwater. CaAl2Si2O8 anorthite þ2CO2 þ 3H2O ! Al2Si2O5 OHð Þ4 kaolinite þCa2þ þ 2HCO� 3 ð2Þ 2NaAlSi3O8 albite þ2CO2 þ 11H2O ! Al2Si2O5 OHð Þ4 kaolinite þ2Naþ þ 2HCO� 3 þ 4Si OHð Þ4 ð3Þ Ca; Mg; Feð Þ2 augite Si2O6 þ 2CO2 þ 5H2O ! 2 Caþ2; Mgþ2; Feþ2 � � þ 2HCO� 3 þ 2Si OHð Þ4þ1=2O2 ð4Þ Silica concentrations range from 0.36 to 1.15 mmol L-1, presenting a good relationship with Ca and Mg concentra- tions (r = 0.61 and r = 0.64, respectively). All samples are oversaturated with respect to quartz (solubility of 0.18 mmol L-1 H4SiO4 at 25 �C; Rimstidt 1997) and sat- urated with respect to chalcedony (solubility of 1.35 mmol L-1 H4SiO4 at 25 �C; Fournier 1977), but are undersaturated with respect to amorphous silica (solubility of 1.9 mmol L-1 H4SiO4 at 25 �C; Rimstidt and Barnes 1980) (Table 2). Gastmans et al. (2016) have shown that if the source of silica is directly associated with basaltic mineral dissolution due to uptake of atmospheric CO2, a stoichiometric relationship between concentrations of SiO2 and HCO3, especially for samples in Group 01 should be expected; however, many samples fall below the 1:1 stoi- chiometric ratio (Fig. 6b). Two geochemical processes in outcrop areas may explain the observed relationship. As groundwater becomes saturated with respect to quartz or chalcedony; removal of SiO2 from the solution by sec- ondary silica precipitation associated with precipitation of silica polymorphs or aluminous silicates (e.g., clay miner- als) could be responsible for the decrease in silica concen- tration compared to alkalinity. The second process could be associated with preferential dissolution of anorthite, causing alkalinity to increase faster than silica content. For samples in Groups 02 and 03 that have silica values lower than samples from Group 01, the increase in total Fig. 6 a Relationship between cations (sodium, calcium and mag- nesium) concentrations and the total alkalinity (expressed as bicar- bonate concentration) from SGA groundwater. The dashed line represents the ratio 1:1, representing the sum of stoichiometric relations observed in Eqs. 2, 3 and 4. b Relationship between silica and total alkalinity (expressed as bicarbonate concentration). The dashed line (1:1) represents the sum of stoichiometric relations observed in Eqs. 2, 3 and 4 Environ Earth Sci (2017) 76:150 Page 11 of 16 150 123 alkalinity is not associated with an increase of silica con- centrations. Most samples are saturated or oversaturated with respect to calcite and quartz, but the saturation index of chalcedony and amorphous silica is lower than samples from Group 01. Gastmans et al. (2010a, b) have shown that dissolved silica in the GAS groundwaters shows a tendency to decrease as a function of increasing aquifer confinement, and that the chalcedony saturation index in confined con- ditions indicates groundwater undersaturated with respect to this silica phase. Ion exchange processes seem to be the most important factor related to the increase in Na concentrations for samples from Groups 02 and 03 that is associated with a decrease in Ca concentrations. It should be observed that this process is not related to reactions presented above (Eqs. 2 to 4), so there are two possible explanations. If the increase is related exclusively to groundwater evolution within the basaltic aquifer, calcite precipitation and ion exchange on smectite are possibly an important process controlling Na/Ca ratios in the SGA, as observed by Gastmans et al. (2016) in the northern portion of the aquifer, where it is outcropping. On other hand, this cannot explain the observed high values of pH (up to 9.0) for samples from Groups 02 and 03. Under closed conditions rapid consumption of CO2 is expected during silicates dissolution; however, there is no important carbon sink in the aquifer framework to explain the observed increase in pH values. Higher values of d13C in samples from Groups 02 and 03 is an indication that heavier carbon was introduced to the system. Although measured values for d13C for car- bonate minerals filing vesicles in basaltic rocks range from -15 to -3.72% VPDB (Kimmelmann et al. 1994), and dissolution of these carbonate minerals can lead to the values measured in dissolved carbon present in ground- water under closed conditions, it should be observed that groundwater is saturated or oversaturated with respect to calcite, as previously discussed, and dissolution of these minerals could not occur. Several authors have described high pH alkaline Na– HCO3 groundwater in the confined zone of GAS associated with ionic exchange (Silva 1983; Meng and Maynard 2001; Sracek and Hirata 2002; Gastmans et al. 2010a, b; Hirata et al. 2011, among others). Geochemical evolution of GAS groundwater along flow paths leads to an increase in d13C values toward the center of the Paraná Basin, reaching values about -6% along the Tietê River (Gastmans et al. 2010a, b), values similar to those observed in groundwater from Groups 02 and 03. The artesian zone of the GAS provides hydraulic evidence of groundwater mixing along the Tietê River (Fig. 1), as previously discussed by Gast- mans et al. (2016), using geochemical modeling, along River Grande in the northern portion of the São Paulo State. Based on these findings, upward groundwater flow from Guarani Aquifer could be responsible for the presence of Na-high pH and d13C-enriched water in SGA. Groundwater residence time and climatic recharge conditions The use of 14C to determine groundwater residence times in aquifers is based on evaluating the radioactive content of dissolved carbonate species in groundwater, which decreases with time since recharge. The method is limited to dating groundwater recharged over the past 30,000–40,000 years, due to the half-life of the isotope (Kulogoski et al. 2008). Other complications for the use of 14C to determine residence time of groundwater are related to the determination of the initial 14C activity (A0) and the evolution of d13C, which may be influenced by reactions and exchange with external sources of inorganic carbon. Plummer and Glynn (2013) provided an extensive review of radiocarbon dating in groundwater. 14C activities and d13C content are presented in Fig. 5b, showing the tendency of decreasing 14C activity, followed by an increase in d13C ratios. Particularly for Group 01, wide ranges of values for d13C are not directly related to a decrease in the 14C activity, which is consistent with the observed relationship between d13C and total alkalinity. Due to the introduction of carbon from atmospheric sources and the lack of carbonate minerals in basaltic rocks, calculation of groundwater ages for Group 01 requires only the application of the radioactive decay constant, while for Groups 02 and 03 specific corrections of the initial 14C activity (A0) are necessary before the resi- dence time based on radioactive decay is calculated. The residence time of groundwater samples can be determined using the following equation (Clark and Fritz 1997): t ¼ �8267 � ln A0 14C A14C � � ð5Þ where A14C refers the measured radiocarbon content in the analyzed sample and Ao 14C is the radiocarbon activity in the soil CO2 in the recharge areas. Due to the dominance of silicates in basaltic rocks isotopic exchange is not supposed to take part in recharge area, value for Ao 14C could be assumed to be equal 100 pmc, and uncorrected ages were calculated on this basis. However, d13C values were found to vary about 10% in groundwater from Group 01 to Group 03, and these variations may reflect different geochemical evolution process, as previously discussed involving silica and total alkalinity variations, as well as the factors related to increase in sodium concentrations. These processes seem to involve mixing of groundwater from GAS, which have very low 14C activity in the confined zone, with ground- water ages measured using 81Kr reaching almost 1000 ky 150 Page 12 of 16 Environ Earth Sci (2017) 76:150 123 (Aggarwal et al. 2015), and chemical characteristics similar to those observed in SGA groundwater. According to Plummer and Glynn (2013), several geo- chemical processes along the flow path can affect the iso- topic evolution of groundwater, and the selection of an adjustment model to correct groundwater ages has to take into account these processes. For this work three models, implemented in NETPATH XL codes, were selected to estimate groundwater residence times: (1) Fontes and Garnier (1979), the most geochemical complete of tradi- tional adjustment models, (2) the revised Fontes and Gar- nier models by Han and Plummer (2013) and (3) the Mook model (Mook 1980), determined to be the most applicable to silicate terrains, because it assumes that cations and alkalinity do not necessarily come from dead carbonate. For both corrections, the calculated value of d13Cg soil was used (Table 4). The value of d13C for the carbonate min- erals is assumed to be -3% VPDB. The dating of these groundwaters considering natural decay and using both corrections is presented in Table 4. Groundwater residence times for samples from Group 01 are concordant for all the correction methods selected and indicate that most of the samples have recent ages, reaching a maximum of 3000 years (Table 4). However, groundwater ages corrected based on Mook and revised F&G models are similar, mainly due to the equilibrium with atmospheric CO2. Higher groundwater residence times are observed in samples presenting lower PCO2 . Due to the absence of isotopic exchange with calcite, ground- water ages calculated according to the revised F&G solid exchange model tend to be underestimated. Different geochemical evolution associated with mixing with older groundwaters leads to significant differences in calculated residence times for samples from Groups 02 and 03. As expected, the adjusted 14C residence times were in most of the cases younger than unadjusted 14C, due to the reactions that occur during geochemical and isotopic evolution of groundwater. It should be noted that the groundwater ages are in agreement with the proposed division of groups, and greater values are obtained for groundwater from Group 03, up to 10 Ky, than 5 to 10 Ky as observed for Group 02. Urban and agricultural soil processes in the study area can exert pressure on the quality of groundwater, especially on waters that are recently recharged. In the western por- tion of the state of São Paulo, cases of groundwater con- tamination by nitrate are reported in several cities (CETESB 2013) related to the management of wastewater and the absence of basic sanitation in these places. Nitrate concentrations above 0.15 mmol L-1 are observed in several groundwater samples, which indicates groundwater contamination, especially in the samples belonging to Group 01 (Fig. 7a). Samples of Groups 02 and 03 seem to be more protected from the leakage of wastewater, prob- ably due to their greater residence times and depth, which provides more protection for this type of contamination. The concentration about 0.1 mmol L-1 observed for these groups is probably associated with construction aspects of the wells. Variations in d2H and d18O in groundwater are currently interpreted to be the result of climatic variations occurring during recharge (Clark and Fritz 1997). Groundwater from SGA with low 14C activities has the most negative isotope ratios (d18O\-8% VSMOW), but mostly shows modern ages with respect to their 14C activities, meaning that the isotopic composition of these groundwater represents the average composition of present day precipitation. It should be noticed that values of d-excess (d-excess = d2H - 8d18O, Dansgaard 1964) are very similar for the bulk of samples, and for samples presenting low values for 14C activities (14C\ 40 pcm) values of d-excess are about 10% VSMOW (Fig. 7b). The most depleted values (d18O & -8.0% VSMOW) are observed to be similar to those recognized in Guarani Aquifer groundwater collected Fig. 7 a 14C activity versus NO3 concentration. Samples from Group 01 present high nitrate concentration. b d18O versus 14C activity, more depleted samples (Groups 02 and 03) present low 14C activity Environ Earth Sci (2017) 76:150 Page 13 of 16 150 123 from wells located in the study area by several authors (e.g., Gallo and Sinelli 1980; Kimmelmann et al. 1986; Chang et al. 2013, among others). Two processes could be associated with the observed variations observed in isotopic composition. One could be a regional feature, the South Atlantic convergence zone (SACZ), a meteorological system of predominant precipi- tation zone extending from the Amazon basin in southwest Atlantic Ocean, responsible for more than 75% of the precipitation over this area. According to Chang et al. (2015) the influence of the SACZ over shallow ground- water leads to more depleted values along this meteoro- logical feature. This corresponds to the northern and central basalt outcrop, while toward the south groundwater is more enriched, reaching d18O isotopic ratios about -5% VSMOW. The large variation observed in isotopic com- position for modern groundwater also could be associated with the type of rain related to the SACZ. Aggarwal et al. (2016) have found that tropical and midlatitude precipita- tion can be divided in two types, spatially limited and high- intensity convective rains, and frontal and lower-intensity stratiform precipitation. The processes associated with these rain types lead to variations in isotopic composition of precipitation and consequently in groundwater recharge. More depleted precipitation is directly related to stratiform rains, for which values can vary approximately from -30 to -10% VSMOW for d18O. Conclusions The evaluation of hydrochemical and stable isotopic data from the Serra Geral Aquifer in São Paulo State (Brazil) has contributed to the recognition of the main geochemical processes and controls related to groundwater evolution and groundwater residence times within the basaltic reservoir. Groundwater flow is driven by the topography, and the main rivers crossing the area represent local discharge. In outcrop areas, groundwater composition is directly related to water–rock interactions, mainly the dissolution of plagioclase and pyroxene, in the presence of atmospheric CO2, leading to an increase in Ca–Mg–HCO3 concentra- tions. The d13C ratios show a large range of values, asso- ciated with calcite precipitation and continuous uptake of atmospheric CO2. Variable values for d 13C in groundwater samples in outcrop areas lead to different values for d13C of CO2 that are characteristic of plants with a C3 photo- synthetic cycle. This groundwater has been recharged recently, as observed in residence times calculated based on 14C and spatial variations in d2H and d18O composition. The recharge is associated with the most important climatic feature acting over the region, the SACZ, and also with the influence of stratiform fraction of precipitation, which leads to more depleted rain and consequently depleted groundwater recharge. The wide range of groundwater residence times in the outcrop area indicates a hydrogeological system that is very active, where young waters could be affected by anthropogenic sources of nitrate, while downgradient older groundwater is not affected by nitrate contamination. When the SGA is under closed conditions, decrease in 14C activities and more depleted values for d13C suggest higher residence times, as do an increase in pH and Na concentrations. This is correlated with a gradual increase in the alkalinity that cannot be exclusively explained by dis- solution of carbonate minerals present in basaltic rocks. Higher pressure head in wells drilled in the Guarani Aquifer System, which has groundwater with enriched values of d13C, and a geochemical evolution, which leads to Na–HCO3 groundwater types, are factors that can explain the geochemical evolution in the basaltic aquifer under closed conditions and incorporating groundwater mixing between the SGA and GAS. Acknowledgements This project was funded by a grant from the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) under the process 2012/00241-5. Authors wish to acknowledge Dr. James W. LaMoreaux, editor in chief of Environmental Earth Sci- ences, and two anonymous reviewers for suggesting significant improvements to this manuscript. 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