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Fluoride in the Serra Geral Aquifer System: source evaluation using stable isotopes and principal component analysis.

1. Introduction

In the last several decades, the global water consumption has dramatically increased, especially for agriculture, water supply, and industrial uses. This paper examines the fluoride content in water from the southernmost region of the fractured subcontinental Serra Geral Aquifer System (SGAS), an important aquifer that supplies a large amount of water for an economic developed region in Southern Brazil.

Fluoride content in water is beneficial to human health and in a moderate concentration (0.7-1.2mg/L) prevents dental cavities. When used in excess can be toxic causing human and animal dental and skeletal fluorosis, which has been detected in China [1, 2], India [3], Kenya [4], and Israel [5], among other countries. The drinking water limit recommended by the World Health Organization for fluoride is 1.5mg/L [6]. In the study area, the SGAS fluoride average concentrations are around 0.24 mg/L, with a minimum value of 0.02 m/L and the highest at 3.03 mg/L.

The SGAS overlies the Guarani Aquifer System (GAS; [7]), which has been the focus of several recent studies due to its spatial extent and storage potential as a transboundary aquifer [8]. The area covered by the SGAS in Brazil, Uruguay, Argentina, and Paraguay is equivalent to 1,200,000 [km.sup.2] (Figure 1). In Brazil, these groundwater resources should be efficiently managed to protect its water potential and quality. The climate in the study area ranges from subtropical to temperate, with precipitation average of 1,550 mm/year.

The SGAS reaches its maximum thickness of about 1,800 m along the central axis of the Parana Basin, located in the Sao Paulo State. In the Rio Grande do Sul State, this aquifer has a wedge shape, ranging from 1,000 m in the eastern area bordering the Santa Catarina State to thickness of 200 m in the western area adjacent to Argentina Border.

The aim of this study is to understand the spatial distribution and geologic control of fluoride content in the SGAS, identifying hydrochemical groups with high fluoride Physicochemical analysis, geostatistics, and stable isotopes approaches were used along with a Geographic Information System (GIS) in order to identify the spatial distribution of the different water types.

1.1. Geologic and Hydrogeologic Framework. The study area is located in the Rio Grande do Sul State, Southern Brazil, and underlies 164,200 [km.sup.2], extending from 27[degrees] S to 31[degrees] S and from 50[degrees]W to 57[degrees]W The volcanic sequence has an average thickness of about 550 m and consists of basaltic to rhyolitic units of Mesozoic age; the last ones occur on the Serra Geral Formation (SGF) top sequence. The clayish soil thickness in the SGF ranges from few decimeters in the eastern area to several meters in the west and northwest. This soil controls water infiltration and, as a consequence, the SGAS recharge by meteoric waters [10].

Studies have suggested groundwater mixing processes between the SGAS and older confined sedimentary aquifer systems from the Parana Basin, including the GAS, through ascending groundwater infiltration [11-16].

Distinct tectonic fracturing occurs in the study area, controlling geomorphological features and groundwater circulation. These structures are directly related to the opening of the South Atlantic Ocean, which is reflected in the major NE and NW fault and fracture directions. Neotectonics is considered to play an important hydrogeological role in the eastern region. Major tectonic systems define individual hydrochemical sectors, which are considered as individual hydrogeological blocks [15, 17, 18]. The tectonic block limited by the Terra de Areia-Posadas and Mata-Jaguari Fault Systems (Figure 2) is uplifted with respect to the neighboring blocks. In the north, the adjacent blockis divided into smaller units with a gradual terrain lowering from east to west, influenced by NE normal faults, parallel to the Leao and Perimpo Fault Systems.

The identification of hydrochemical groups in the SGAS is an important tool for the definition of tectonic structures, supporting the fluoride ascending circulation hypothesis in the aquifer [22]. The meteoric recharge pattern as [Ca.sup.2+]HC[O.sub.3.sup.-] waters and also ascending infiltrations by [Na.sub.+]HC[O.sub.3.sup.-] waters with S[O.sub.4.sup.2-] and [Cl.sup.-] in the GAS, resulting in a complex water mixture [15]. Several authors have pointed out that high fluoride content in groundwater can be related to [Na.sup.+]HC[O.sub.3.sup.-] ascending infiltrations waters [11, 15, 22-24]. Such mixing and hydrochemical groups can both result from [Ca.sup.2+]HC[O.sub.3.sup.-] and [Na.sup.+]HC[O.sub.3.sup.-] waters [25].

2. Materials and Methods

2.1. Multivariate Statistics. Principal components analysis (PCA) was used to discriminate hydrochemical groups in the 309 physicochemical analyses of the SGAS in order to systematize the interpretation of a large number of variables through the maximization of differences between them [26].

The PCA was performed to 2, 3, and 4 principal components and normalized to a value of "1" minimum eigenvalue accepted [27]. Subsequently, the outliers were cut by visual analysis in boxplots and dispersion charts for F-, Na+, [Ca.sub.2+], [Mg.sup.2+], HCO[O.sub.3.sup.-], S[O.sub.4.sup.2-], and [Cl.sub.-], considering water classification. This statistical procedure restricts the analysis towards the fluoride focus, avoiding interferences from other parameters. The spatial distribution and interpretation of principal components defined by PCA were performed with a GIS environment.

2.2. Stable Isotopes. Stable isotopes were analyzed in the Geochronological Research Center of the Sao Paulo University. The analysis for oxygen was accomplished through the balanced isotopic reaction between water and CO2 over 24 hours.

The C[O.sub.2] extraction was done in a vacuous line offline and subsequently was read in a Thermo Finnigan Delta Plus/Advantage spectrometer with dual-inlet installed.

The hydrogen was analyzed through the reaction of water with pure zinc at 500[degrees]C for liberation of the [H.sub.2] gas.

Twenty seven samples were selected in order to establish stable isotope patterns in the SGAS. These results were considered together with eight additional ones belonging to the GAS (seven data from [28] and one from this study) and four from phreatic waters from an adjacent area [28]. This procedure is appropriate for understanding water mixture features between aquifers and to estimate their relative ages.

Unfiltered water samples were collected and stored in 100 mL polypropylene bottles to provide adequate volume for separate analyses of [delta][sup.18]O and [delta][sub.2]H. All data considered in this paper are expressed in [per thousand] with respect to Vienna Standard Mean Ocean Water (VSMOW) on the Delta scale:

[delta] = [[(1000 + [R.sub.sample])/(1000 + [R.sub.standard])] - 1] * 1000, (1)

where Rsample is the [sup.18]O/[sup.16]O or [sup.2]H/[sup.1]H ratio of the sample and [R.sub.standard] is the corresponding ratio in VSMOW. Analytical precisions were better than [+ or -] 0.5 [per thousand] for [delta][sub.18]O and [+ or -] 2 [per thousand] for [delta][sup.2]H.

The altitude and the distance from the ocean can influence stable isotopes patterns. The average altitude of the SGAS in the area is 500 m, and the spatial position ranges from the coast in the eastern sector to 800 km inland in the western sector.

Due to this, ISOHIS [29] isotope data from the precipitation sampling stations were selected both in Porto Alegre, Southern Brazil, located in coastal and low altitude condition (GNIP code 8396700) and Corrientes, Argentina, located in interior and low altitude (GNIP code 8716600) area showed to compare data obtained in this research.

3. Results and Discussion

3.1. Principal Components Analysis. The PCA results show the correspondence of each component to the analyzed parameters. The solution using the eigenvalue criterion results in four components that explain 81% of the total variance. Component 4 is highly weighted by fluoride (Table 1).

Component 1 contains HC[O.sub.3.sup.-], [Ca.sup.2+], and [Mg.sup.2+], typical for calcium and magnesium bicarbonated waters with short to medium residence time. In Component 2, S[O.sub.4.sup.2-] and [Cl.sup.-] prevail, indicating calcium and sodium-chlorinated and sulfate waters. Component 3 is distinguished by HC[O.sub.3.sup.-] and [Na.sup.+], representing sodium bicarbonated waters. The [F.sup.-] followed by [Na.sup.+] and S[O.sub.4.sup.2-] defines Component 4, which comprises the high [F.sup.-] group linked to sodium-sulfated waters.

Based on these components, the solution for nine clusters was selected, and it shows the best approach to the hydrochemical groups. Subsequently, a cluster interpretation was performed based on central scores of each cluster. In order to assist the interpretation, each cluster was renamed according to the predominant ion (Table 2), defining hydrochemical groups. Thus, Component 1 has been renamed to CaMg, Component 2 to S[O.sub.4], Component 3 to Na, and Component 4 to F.

Clusters 3 and 4 are composed predominantly by the F group. Clusters 1 and 7 comprise the CaMg group. Cluster 8 is composed by the Na group. Other clusters show prevalence of two components, resulting in the groups S[O.sub.4]Na, S[O.sub.4]F, and NaF. Cluster 5 comprises the Meteoric waters and other samples with no relationship to the four principal components.

3.2. Hydrochemistry. The geochemical data based on PCA results were plotted in a piper diagram (Figure 3), with the four renamed clusters defined by the PCA. The majority of wells (212 out of 309 wells) have a composition close to meteoric waters with [Ca.sup.2+] HC[O.sub.3.sup.-] nature and do not include high fluoride waters. Due to this, 212 samples are not represented in the diagrams in order to obtain a better fit by the other groups.

The CaMg group represents a predominant HC[O.sub.3.sup.-] water type where [Mg.sup.+2] appears in more than 50% of the wells (Figure 3).

The Na group shows their typical distribution in the piper diagram, representing [Na.sup.+]HC[O.sub.3.sup.-] waters.

S[O.sub.4]Na, S[O.sub.4]F, and NaF groups appear only in two wells each. Both wells compose distinct groups as shown in Figure 3.

F distribution in the piper diagram maintains an association with sulfated and bicarbonated groundwaters. These hydrochemical characteristics are also related to different groundwater sources or point out to mixture features during groundwater ascending infiltration, where ionic enrichment including increasing fluoride content can result from the interaction of ascending/descending water recharge due to longer residence time in the Na and CaMg hydrochemical groups [19]. Thus, the S[O.sub.4]F, NaF, F, and S[O.sub.4]Na hydrochemical groups have a closed relationship interaction with two or more fracture directions (Figure 4), where S[O.sub.4.sup.2-], [Na.sup.+], and fluoride can ascend.

3.3. Stable Isotopes. The 27 analyzed samples from SGAS are distributed among the six water groups defined in the PCA. For GAS waters, one sample was analyzed and aggregated other 7 results [20]. Another 4 results to phreatic waters [28] were aggregated as mentioned. The [delta][sub.18]O ([per thousand]) ranges from -5.0 to -4.2 (phreatic waters), from -5.7 to -4.2 (SGAS), and from -5.5 to -4.8 (GAS), while the [delta][sup.2]H ([per thousand]) varies from -27.4 to -20.8 (phreatic waters), from -37 to -24 (SGAS), and from -37 to -28 (GAS; Table 3). The SGAS shows a scattered distribution compared to the GAS (Figure 5). Nevertheless, the average of [delta][sup.18]O and [delta][sub.2]H values in both aquifer systems is similar, and the SGAS is located in an intermediate position but nearer to GAS when compared to phreatic waters. This reinforces the hypothesis of water circulation through the SGAS to the GAS, with minor influence of phreatic/meteoric waters in the sampled field.

The GASdataplotted in amap (Figure 6)showdecreasing [delta][sub.2]H and [delta][sub.18]O values from east to west, reflecting the distance from the ocean and the groundwater flow direction through the GAS. The lowest [delta][sub.18]O and [delta][sub.2]H values in the GAS are related to the highest confinement and distance from direct recharge areas. In this sense, tectonic fractures can provide meteoric to medium residence time waters to the GAS across the Serra Geral Formation, indicating descending water recharge processes, corresponding to Condition 2 described into Figure 4.

The SGAS [delta][sub.18]O and [delta][sub.2]H results plotted in the same map show a different arrangement from the GAS, with the lowest values in the northern, western, and eastern portions (Figure 7). These differences are related to the influence of tectonic fractures and, as a consequence, to the hydrochemical groups distribution [19].

In the northern region, the lowest [delta][sub.18]O and [delta][sub.2]H values coincide with a greater volcanic sequence thickness and thicker soils, providing for an increase in groundwater residence time and reduced meteoric water recharge. The prevalence of S[O.sub.4]F, NaF, and F hydrochemical groups in this portion confirms the long residence time and older relative age to this waters.

In the western sector of Figure 6, samples with the lowest [delta][sub.8]O and [delta][sub.2]H values are located along the Uruguay River Fault System in an NE-SW direction. In this area, the SGAS is thinner, and the intense tectonic fracturing favors to the groundwater ascension through the confined GAS.

In the eastern area, the lowest [delta][sub.18]O and [delta][sub.2]H values (samples 238 and 244) are related to the Leao and Terra de Areia-Posadas Fault Systems, which allow for groundwater ascension through the confined GAS.

The scatter diagram of fluoride versus [delta][sub.18]O and [delta][sub.2]H (Figure 8) reveals, in a broad sense, that lower isotope ratios (most negative values) are associated with higher fluoride content, reflecting water-rock interaction during a long residence time. Similar conditions were also described by [24] in the GAS in the Sao Paulo State, Southern Brazil. This behavior can be associated with ascending infiltration GAS waters.

4. Conclusions

In the Rio Grande do Sul State, extensive groundwater mixing processes operate between the SGAS and GAS through defined and intense tectonic fractures. Six hydrochemical groups were distinguished in the SGAS, three of them containing substantial fluoride contents in combination with [Na.sup.+] and S[O.sub.4.sub.2-]. Ascending recharge processes are considered to define ionic enrichment, especially in [Na.sup.+], [F.sup.-], S[O.sub.4.sup.2-], and [Cl.sup.-].

The comparison between [delta][sup.18]O and [delta][sup.2]H spatial distribution in the SGAS demonstrates a different scenario concerning the GAS. The differences are probably explained by the interference of different tectonic structures than those in the GAS which are responsible for the defined hydrogeological blocks. The combination of deep fault zones and high pressure and temperature conditions in a confined GAS supports the hypothesis of ascending groundwater infiltration.

The depleted [delta][sup.18]O and [delta][sup.2]H values suggest that fluoride enrichment in the SGAS is related to percolation through the GAS in confinement and long residence time conditions. The similar values of [delta][sup.18]O and [delta][sup.2]H in the two aquifer systems suggest, in some regions, that ascending recharge processes are more intense than meteoric recharge. In the Rio Grande do Sul State, this behavior increases from east to west, which is the groundwater flow direction in the GAS. Similar behavior is observed in the SGAS, except in some scarps and valleys, as is demonstrated by the distribution of the CaMg water group. The fluoride input to the groundwater is probably related to water-rock interaction in the GAS and in older aquifer systems below it.

http://dx.doi.org/10.1155/2013/309638

Acknowledgments

The funding for this study was provided by the Brazilian National Research Council (CNPq), Rio Grande do Sul Research Foundation (Fapergs), and Rio Grande do Sul Environmental Agency (Fepam).

References

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Arthur Schmidt Nanni, (1) Ari Roisenberg, (2) Maria Helena Bezerra Maia de Hollanda, (3) Maria Paula Casagrande Marimon, (4) Antonio Pedro Viero, (2) and Luiz Fernando Scheibe (1)

(1) Universidade Federal de Santa Catarina (UFSC), Campus Universitario, Trindade, 88.010-970 Florianopolis, SC, Brazil

(2) Universidade Federal do Rio Grande do Sul (UFRGS), Avenida Bento Gongalves 9500, predio 43126/103, 91501-970 Porto Alegre, RS, Brazil

(3) Centro de Pesquisas Geocronologicas (CPGeo), Instituto de Geociencias (USP), Universidade de Sao Paulo (USP), Rua do Lago 562, Cidade Universitiiria, 05508-080 Sao Paulo, SP, Brazil

(4) Universidade do Estado de Santa Catarina, UDESC-FAED, 88.035-001 Florianopolis, SC, Brazil

Correspondence should be addressed to Arthur Schmidt Nanni; arthur.nanni@ufsc.br

Received 30 January 2013; Revised 25 April 2013; Accepted 29 April 2013

Academic Editor: Umberta Tinivella

Table 1: Rotated matrix with four components and characteristic
parameters. Data from [21].

Parameters                 Components

                             1          2          3        4

[Mg.sub.2+]                 .874       .063       .072     .139
[Ca.sub.2+]                 .811       .231      -.045    -.043
[Na.sub.+]                 -.143       .188       .870     .271
[Cl.sub.-]                  .353       .707       .206    -.051
HC[O.sub.3.sup.-]           .572       .095       .699    -.091
S[O.sub.4.sup.2-]           .030       .872       .074     .237
[F.sub.-]                   .067       .145       .150     .956
Explained variance         37.433     20.260     12.694   10.770
Cumulative % of variance   37.433     57.693     70.386   81.156

Table 2: Cluster central scores, dominant components and
hydrochemical groups. Data from [21].

Component                        Cluster
                  1           2           3        4         5

CaMg            1.614       -0.613      -0.228   0.511     -0.152
S[O.sub.4]      0.987       4.411       -0.377   -1.198    -0.113
Na              -0.892      3.032       -0.881   -0.667    -0.305
F               -0.330      -1.357      1.244    6.986     -0.250
Cases             22          2           19       3        212
Hydrochemical    CaMg    S[O.sub.4]Na     F        F      Meteoric
  group

Component                      Cluster
                     6          7        8        9

CaMg              -0.724      2.042    -0.722   -1.720
S[O.sub.4]         9.303      -0.236   -0.260   -0.348
Na                -0.845      1.092    1.653    2.691
F                  2.849      0.285    -0.034   4.786
Cases                2          11       36       2
Hydrochemical   S[O.sub.4]F    CaMg      Na      NaF
  group

Table 3: [[delta]].sub.18]O and [[delta]].sub.2]H values of
phreatic waters (a), GAS (a), and SGAS (b). Data from
[28] (*) and [20] (**). TA is a code to Tres Arroios
City (sampled by author). Fluoride content is exclusive to
SGAS.

(a)

Sample code       Aquifer        [delta][sub.18]O   [delta][sub.2]H
                                 ([per thousand])    (([per thousand])

PMT1 *                                 -4.67               -23.4
PMT2 *            Phreatic             -4.26               -20.8
PMCG3 *                                -5.05               -27.4
PMBF7 *                                -4.56               -22.9
Averages                               -4.64               -23.7
TA                                     -5.1                 -30
1-RS"                                  -5.2                 -33
2-RS"                                  -4.9                 -28
3-RS"               GAS                -4.8                 -29
4-RS"                                  -5.3                 -33
5-RS"                                  -5.3                 -33
7-RS"                                  -5.5                 -32
8-RS"                                  -5.4                 -37
Averages                               -5.28               -33.2

(b)

Sample code   SGAS water group   [F.sup.-] (mg/L)    [delta][sub.18]O
                                                     ([per thousand])

35                  CaMg                0.1                -5.2
33                  CaMg               1.02                -5.2
29                  CaMg                0.3                -4.5
16                  CaMg               0.47                -4.2
416                  F                 0.45                 -5
360                  F                 0.68                -4.8
235                  F                 0.95                -5.2
208                  F                 0.75                -5.5
173                  F                  0.9                -5.3
138                  F                 3.03                -4.5
57                   F                 0.35                -4.7
37                   F                  2.6                -5.7
244                  Na                0.32                -5.1
238                  Na                0.52                -5.2
212                  Na                0.31                 -5
144                  Na                0.23                -5.2
18                   Na                0.23                -4.6
14                   Na                0.19                -4.6
10                   Na                 0.6                -4.5
251                 NaF                1.96                -5.7
31                  NaF                2.03                -5.6
279             S[O.sub.4]F            1.19                -4.7
261             S[O.sub.4]F            1.81                -4.9
71              S[O.sub.4]Na           0.07                -5.2
334               Meteoric             0.39                -5.2
97                Meteoric              0.3                -5.1
58                Meteoric             0.03                 -5
Averages                               0.81                -5.01
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Title Annotation:Research Article
Author:Nanni, Arthur Schmidt; Roisenberg, Ari; de Hollanda, Maria Helena Bezerra Maia; Marimon, Maria Paula
Publication:Journal of Geological Research
Article Type:Report
Geographic Code:3BRAZ
Date:Jan 1, 2013
Words:4487
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