Assessment of the Geochemical Potential in a Complex Tectonic Environment of South-East Sicily: New Insights From Hydrochemical Data

Introduction

Geothermics is a clean and sustainable source of energy, as geothermal power plants involve no combustion, unlike classic thermal power plants, and thus they emit very low levels of greenhouse gasses. Geothermal resources range from shallow ground reservoirs to vapor- or water-dominated systems accessed by drilling wells down to thousands of meters below the Earth’s surface^1,2 (Bertani, 2012; Botteghi et al., 2012; Abate et al., 2014; Albanese et al., 2014). There is a growing interest in Italy on studies regarding the recognition of geothermal areas and their potential in terms of possible exploitation (Zervos et al., 2011).

However, still a large portion of the Italian territory has not been investigated, despite of clear evidence of existing geothermal systems (Minissale et al., 2019). Our study has been focused on a south-eastern sector of Sicily, where volcanism has been active until middle Pleistocene and strong earthquakes have periodically occurred in historical times (Barberi et al., 1974; Dall’Aglio et al., 1995).

This sector of Sicily is today affected by several zones with focused gas emissions, diffuse degassing anomalies and thermal springs, in general associated with deep regional faults (Bonfanti et al., 1993; De Gregorio et al., 2002; Grassa, 2002; Grassa et al., 2006; Giammanco et al., 2007). The origin of the gases in the most intense emission points was found to be mantle (Bonfanti et al., 1993; Dall’Aglio et al., 1995; De Gregorio et al., 2002; Grassa, 2002; Giammanco et al., 2007).

The area under study is important also because: (i) it is densely populated (almost one million people live there, distributed among thirty-five municipalities); (ii) it is the site of two of the largest industrials centers of southern Italy; (iii) local land is used for many economic activities mostly related to agriculture (grapes, lemons, oranges, almonds, tomatoes, cheese, etc.). Exploitation of the local geothermal resources appears, therefore, of the utmost importance to provide both the population and the economic activities with a power source that is cheap, readily and widely available and with a low environmental impact, especially in a moment of world economic crisis mostly affecting the energy market.

Our purpose was to provide basic information in order to identify areas where there is a greater chance of finding viable geothermal conditions to be considered for future exploitation. Of all the many methodologies used to discover and characterize geothermal reservoirs (IGA Service GMBH, 2014), those based on geochemical surveys are among the most useful and reliable (D’Amore and Panichi, 1985; Nicholson, 1993).

This work is based on the evaluation and elaboration of already existing hydro-geochemical data collected by Istituto Nazionale di Geofisica e Vulcanologia – Palermo (INGV-PA) on behalf of the Regional Government of Sicily, that published the results on-line³. The present work is the first attempt to organize and elaborate this large set of data regarding the Hyblean area, in order to determine its geothermal potential, since only small specific areas have been studied in the past and only for the purpose of monitoring seismic activity (Bonfanti et al., 1993; Dall’Aglio et al., 1995).

Geological and Hydrological Setting

The Hyblean Mountains, with surface of about 4500 km², occupy most of south-east Sicily and, from a geodynamic point of view, they belong to an important regional geological structure that includes the Hyblean-Malta Platform (Grasso and Lentini, 1982; Lentini et al., 1987) and that acts as junction between the Apennine-Maghrebian Chain in the northern part of the island and the northern boundary of the African plate. Three major active tectonic structures occur within the Hyblean Mts.: (i) the Gela Nappe along its north-west limit; (ii) a transcurrent faults system crossing the whole central part of the area along a NNE-SSW direction and (iii) the Malta Escarpment located offshore along its east side, within the Ionian Sea (Adam et al., 2000).

The Hyblean foreland, along its northern and western edges, is bordered, instead, by a foredeep formed from a predominantly silico-plastic sedimentation derived from the northern areas during the Plio-Quaternary period (Labaume et al., 1990; Ristuccia et al., 2013). This sector was affected by the Plio-Quaternary tectogenesis that produced overlapping of the outer edge of the chain (Gela Nappe) over the most peripheral zone of the foreland.

This subsidence occurs with NE-SW faults systems on the northern edge, whereas its western margin is affected by a complex system interconnecting N-S- or NNE-SSW-directed tectonic lines (Scicli-F. Irminio Fault system) with NE-SE-trending faults (Ispica Fault on the SE of the study area and Comiso-Chiaramonte fault system on the W) (Figure 1).

FIGURE 1

Figure 1. Hydrological settings of the Hyblean area. Sampling sites are indicated by open circles. See legend for explanation of colors and symbols in the map. The square box in the figure delimits the area used in Figures 7A–D. Coordinates are in UTM WGS84.

The Hyblean Mts. chiefly consist of a thick carbonate succession formed mainly as platform facies dated to Mesozoic-Cenozoic. The succession shows marked interbedding of volcanic deposits from several eruptive sequences that occurred in the area starting from the Cretaceous period (Bianchi et al., 1987). In particular, the northern margin of the Plateau was characterized by volcanism, both submarine and subaerial, until about 1.4 Ma (Schmincke et al., 1997). Subsequently, volcanic activity shifted toward the north, with eruptions occurring across the Catania Plain, and concentrated in the area where Mt. Etna would develop (Schiano et al., 2001).

The hydrogeological features of the Hyblean Plateau consist of carbonate rocks in its western part and of volcanic deposits in its eastern part. Both the volcanic and the carbonate aquifers above are characterized by high permeability, 10^-5 and >10^-5 m/s, respectively (Aureli et al., 1993). Due both to their high permeability and to their huge extension, these aquifers are the most important of south-east Sicily. In general, the area is often characterized by aquifers located at different depth, separated by horizontal layers of impermeable rocks, that, however, can be interconnected thanks to faults (Ruggieri, 1990). Piezometric contours in the study area indicate that groundwater flow occurs preferentially along radial directions, from the highest topographic areas (Monte Lauro) toward the low peripheral ones (Figure 1).

In general, local ground permeability is subject to marked decreases both vertically and laterally, because of fractures sealing and/or of contact with low-permeability marls. For these reasons, groundwater discharges occur along the entire length of the edge of the Hyblean Plateau (Ruggieri, 1990).

Coastal areas are bordered by sandy beaches crossed by limestone outcrops. The inter-tidal zone is characterized by many water springs that are usually the expression of discharge of groundwater that had infiltrated through limestone layers. Near shores, seawater shows a lower salinity than in the open sea because of the presence of groups of small freshwater springs. The Hyblean area can be divided into two main regions: a south-western sector, largely constituted by the Ragusa district and a north-eastern area, largely coinciding with the Siracusa territory and, in the least, with the Catania area.

South-West Sector

This sector is divided into two hydrogeological structures (water bodies): the Ragusa Basin and the Vittoria Plain Basin, respectively (Figure 1). In its west part (Comiso-Vittoria plain) two aquifers are present, the first being confined at moderate depth (from 50 to 100 m below the surface) within calcarenitic rocks and sandstone deposits of Pleistocene age, whereas the second is deeper and located in a carbonate substratum, confined by marls (Carbone et al., 1982, 1987; Grasso et al., 1982). The latter is a more productive aquifer and its depth varies according to the structural setting, being characterized by many blocks that were lowered or uplifted in a variable and irregular manner and that constitute the low part of the Hyblean plateau. Water supply in the western sector of the structural depression of Vittoria comes both from local infiltration of rain and from the carbonate massif. In this area there are some of the most important water springs in the whole plateau.

In the southwest sector of the study area the main outcropping rocks are limestones (Ragusa Formation) (Figure 2). These rocks host two different and superimposed aquifers, both with permeability due to fracturing, that in places are in hydraulic continuity due to the presence of important regional tectonic structures that cross them. The first aquifer is partly confined and it is located within calcarenitic sequence at an average depth between 100 and 150 m below the surface. The second aquifer, completely confined within marls and limestone, is larger than the previous one and it is separated from it by marly-clays with variable thickness.

FIGURE 2

Figure 2. Schematic map of the geological settings and of the use of the land in Hyblean area. Geological data modified from Carbone et al. (1987); land use data from http://www.sitr.regione.sicilia.it/?cat=26.

Along the coastline and until their east boundary with the Siracusa territory, the limestone of the Ragusa Formation have an aquifer with discrete to good potential, confined by marls.

Lastly, alluvial deposits, depositional fans and recent sands in the Hyblean area generally host small aquifers with moderate to low productivity, due to their limited extension both horizontal and vertical.

North-Eastern Sector

The northeast sector of the Hyblean plateau, from a hydrogeological point of view, can be subdivided into four water bodies: (i) Lentini basin; (ii) Siracusa north-east; (iii) Siracusa south; (iv) Augusta-Priolo plain. Those water bodies show different geochemical characteristics according to the directions of underground water flow. In particular, in the northern portion of the area investigated, from Monte Lauro to the Lentini plain, groundwater circulates predominantly into volcanic deposits of Pliocene-Pleistocene, with main flow directions toward north-east. The semi-permeable substratum of this aquifer is locally made of Miocene volcanic, whose upper layers are often weathered due to argillation processes. A structural high, directed NE-SO along on of the main tectonic lines in the region, separates this aquifer from the adjacent one of the Augusta-Priolo plain.

The latter shows a more marked alternation of deposits of volcanic origin and rocks belonging to the carbonate series. Further to the south is located the carbonate basin of Siracusa, delimited to the north by the Melilli-Monti Climiti graben, a structural high with WNW-ESE direction. In this basin groundwaters mostly flow toward the SW. The main aquifer in this basin occurs into limestone. The west part of this carbonate sequence rests on Miocene marls, whereas in the area of Siracusa and south of this town limestone are covered by more recent sediments of Pliocene-Pleistocene age. In general, this aquifer shows transmissivity values ranging from 0.1 to 9 × 10^-3 m²/s and a relative high permeability due to karstification. The latter is a process that has affected the local Miocene carbonate series since its emersion.

The water body of the Augusta-Priolo plain is made of coarse sands and calcarenites, whose maximum thickness is scarcely greater than 20 m. Its substratum is composed of clays with variable thickness (from a few to some hundreds of meters). Where clays are missing, the sands and calcarenites rest directly on the lower permeable terms, with whom they are in hydraulic continuity.

Those rocks outcrop along the entire gulf of Augusta and inland up to a maximum altitude of 200 m. The water table existing within these rocks is exclusively fed from local infiltration and it is largely drained by the local water streams.

Materials and Methods

Geochemical methods have a relatively low cost and provide precious information both on the source(s) of water and, in the case of a geothermal system, on the temperature conditions of the fluids in the reservoir.

In particular, the use of geochemical surveying in geothermal exploration is of great importance for the inference of subsurface thermal conditions through chemical analysis of fluids discharged at the surface (Dolgorjav, 2009).

Between 2004 and 2005, one hundred and thirty seven waters samples from springs and wells throughout basins of the southeastern Sicily were collected and immediately analyzed in the laboratories of INGV-PA. Details on field and laboratory procedures are available at http://www.regione.sicilia.it/presidenza/ucomrifiuti/acque/pagina_1.htm.

The determination of the water temperature, electrical conductivity, TDS and HCO₃^- was carried out directly in the field. Unfortunately, water pH was not measured. The concentration of HCO₃^- was determined by titration with HCl 0.1 N. Chemical analyses of major ions were performed by ion-chromatography (Dionex DX 120) on filtered (0.45 μm Acrodisc^® cellulose filters) and acidified (100 μm HNO₃ SUPRAPUR^®) samples, with reproducibility within ±2%. A Dionex CS-12A column was used for the determination of major cations (Na⁺, K⁺, Mg²⁺, Ca²⁺) and a Dionex AS4A-SC column was used for the major anions (F^-, Cl^-, NO₃^-, SO₄^2-) (Sortino et al., 1991). Trace element analyses were performed by a Perkin Elmer ELAN-DRC-e ICP-MS. Accuracy and precision (<5%) of the measures were computed by analyzing certified reference materials and by performing several replicates on samples. The detection limits for all analyzed elements was in the range 0.01–0.1 μg/l.

Some of the sites were sampled in both years. We observed that the analytical results for duplicate samples were very similar in time, so we decided to consider only the 2005 samples.

Furthermore, in order to improve the statistical results, another six waters samples extracted from Dall’Aglio et al. (1995) were considered and added to our database. The analytical methods for these six samples are reported in Dall’Aglio et al. (1995).

In all cases, the accuracy of major element analyses was checked by using charge mass balances. Analyses were considered as acceptable when the charge imbalance was less than 10%. The only exceptions were samples Vanghella-Palagonia and the samples from Dall’Aglio et al. (1995). In the first case the imbalance excess was very small (-11.04%), whereas in the latter samples imbalances were attributed to the lack of data on nitrates. In all cases, the overall meaning of the analyses was believed not to be affected in a substantial way.

Results and Discussion

Geochemical Classification of Analyzed Waters

The chemical data analyzed in this paper are shown in Appendix 1 of Supplementary Material.

In the tables of this Appendix, we distinguished between the 111 sites sampled in 2005 and the six sites described by Dall’Aglio et al. (1995). Appendix 2 of Supplementary Material shows some basic statistics (mean, minimum value, maximum value, standard deviation, median) on the available parameters, divided by basins.

According to the Langelier-Ludwig diagram (Langelier and Ludwig, 1942), where the relative concentrations of major constituents are considered, the sampled waters show a wide range in chemical composition (Figure 3), with the majority of the sites displaying a bicarbonate alkaline-earth composition, which is typical of the majority of the groundwaters flowing into shallow aquifers. Another large group of samples shows a composition highly enriched in SO₄^2- and secondarily in Ca²⁺. These sites belong to the same basin, located near the town of Vittoria, where most of the land is extensively cultivated with grapes. It is therefore possible that their peculiar composition reflects pollution by wastewaters rich in NH₄, Ca, and SO₄ caused by local agricultural activities (Aiuppa et al., 2002, 2003). Finally, a third important group of waters shows a composition trending toward an alkali-Cl composition, from an initial alkaline-earth composition. These waters are seemingly divided into two sub-groups: (i) one shows a compositional trend toward seawater and it is actually made of samples generally from sites close to the coast lines and hence most subject to seawater intrusion; (ii) another group seems to result from mixing between the typical composition of shallow groundwaters and geothermal brines and therefore will been analyzed in greater detail in the following section of this work.

FIGURE 3

Figure 3. Langelier-Ludwig diagram related to analyzed waters. It shows a wide range in chemical composition, with the majority of the sites displaying a bicarbonate alkaline-earth composition characteristic of most of the groundwaters flowing into shallow aquifers. A second group of samples shows a composition highly enriched in SO₄^2- and secondarily in Ca²⁺. These sites belong to the same basin, placed near the town of Vittoria, where most of the land is broadly cultivated with grapes. Presumably, their composition originates for the most part from pollution by NH₄-Ca²⁺-SO₄^2- wastewaters produced by agricultural activities. Finally, a third important group of waters trends toward an alkali-chlorine composition, from an initial alkaline-earth composition. Part of these waters are likely a result of seawater intrusion, whereas another part of them seems to result from mixing between the typical composition of shallow groundwaters and geothermal brines and therefore have been analyzed in greater detail using PCA.

The HCO₃-SO₄-Cl ternary diagram (Figure 4) better highlights what already suggested by the Langelier-Ludwig diagram. We show here the modified version of this triangular diagram, according to Giggenbach (1988), in order to classify geothermal fluids based on their major anions concentration. The modified graph helps to discern between mature geothermal fluids and immature and unstable waters. It also gives preliminary indication of mixing processes and/or geographic clustering. The graph shows clearly that (i) most of the samples fall close to the HCO₃ corner, typical of shallow groundwater; (ii) all of the samples from the Vittoria basin are highly enriched in SO₄^2-, most probably because of strong water pollution due to agricultural activities related to wine production (with often massive use of sulfide-bearing fertilizers and fungicides); (iii) several samples trend toward the composition typical of mature geothermal waters. The latter mostly correspond to the samples indicated by the Langelier-Ludwig diagram for the waters mixing with geothermal brines. An exception in this group is a sample from the Lentini Basin (Bevaio Basso_Buccheri in Appendix 1), whose composition from the Langelier-Ludwig diagram falls almost at the extreme of the chlorine alkaline-earth quadrant, being also close to the “acidic water” field.

FIGURE 4

Figure 4. Ternary plot Cl-SO₄-HCO₃. The graph displays that (i) most of the waters fall close to the HCO₃^- vertex, typical of groundwaters from rock-weathering; (ii) all of the samples from the Vittoria basin (green circles) are highly enriched in SO₄^2-, likely because of pollution due to agricultural activities related to wine production; (iii) some samples trend toward the composition typical of mature geothermal waters. The association of colors to sites is the same as in Figure 3.

Aqueous Geothermometers

Application of chemical geothermometers to groundwaters is one of the main methods in the exploration of geothermal resources. It allows to foresee subsurface water temperatures and to get precious information about the evolution of a geothermal reservoir during exploitation. Geothermometry is based on the assumption that water attains a temperature-dependent equilibrium with the minerals in the host rock of the reservoir. However, water in geothermal reservoirs generally shows temperature values that are not homogeneous and temperature gradients may occur both horizontally and vertically. For this reason, the temperatures measured in deep drill-holes may be higher than those inferred from chemical geothermometry, particularly in the case of waters that come from shallow aquifers (Arnórsson et al., 1983). In any case, the use of water geothermometers is fundamental to get at least an idea of the minimum temperature that can be encountered in a given reservoir.

Based on the previous geochemical characterization of the sampled waters, we selected thirty-three sites of the initial group, considering only those whose chemical compositions in the Langelier-Ludwig and HCO₃-SO₄-Cl ternary diagrams (Figures 3, 4) fall close to that of geothermal waters or show an evident mixing line toward geothermal waters. These samples are also highlighted in Appendix 1 of Supplementary Material.

The K²/Mg and K²/Ca (Fournier and Truesdell, 1973) geothermometers are among the most important. By combining the two geothermometers above, Giggenbach (1988) obtained a very useful graphic method for assessing the degree of attainment of water-rock equilibrium. Figure 5 shows the triangular plot of Giggenbach (1988) for the selected water samples. Most of the samples fall close to the Mg^1/2 corner, thus being far from equilibrium and indicating a low water temperature at depth. However, three samples – namely Paparone_Virgonello, Tenuta Rannè_Lentini and Rendo_Catania - fall within the partially equilibrated waters field, along curves toward the Mg^1/2 vertex that suggest equilibration temperature ranging between about 100 and 140°C. This is interpreted as cooling of thermal water upon migration toward the surface and its Mg enrichment during water-rock interaction.

FIGURE 5

Figure 5. K-Mg-Na ternary diagram (modified from Giggenbach, 1988) for the 33 selected water samples in the area investigated. Samples showing conditions of partial equilibration are indicated with their name.

Furthermore, we plotted the analytical results of the thirty-three selected sites in a graph of log(K²/Mg) vs. log(K²/Ca), which is another graph frequently used to evaluate both the temperature of final water-rock equilibrium and the PCO₂ of geothermal liquids (Figure 6). As for the triangular plot of Figure 5, most of the samples fall out of the temperature range of geothermal interest, also in this case showing “immature” conditions. Several samples, however, fall well within the conditions of geothermal interest, indicating temperature values in the range between about 50°C and about 90°C.

FIGURE 6

Figure 6. Graph of log(K²/Mg) vs. log(K²/Ca) for some selected sites (see text for explanation). Some waters fall well within the conditions of geothermal interest, showing calculated equilibrium temperature values in the range between about 50°C and about 90°C.

Some data points plot below the “calcite formation” line and most of them have PCO₂ values higher than those at full equilibrium. These conditions favor conversion of Ca-Al-silicates to calcite in the sampled waters, whose chemistry is seemingly controlled by dissolution of the host rock rather than by equilibrium between water and minerals.

The highest PCO₂ values indicated in this plot (samples labeled A–F) are in the same range as those calculated in the groundwaters of Mt. Etna volcano, where the origin of dissolved CO₂ is mostly from magma degassing at depth and where high PCO₂ values are found associated with slight thermal anomalies in water (Allard et al., 1997; Giammanco et al., 1998; Brusca et al., 2001; Aiuppa et al., 2002, 2003). The association observed in Figure 6 between high values of calculated dissolved CO₂ and high values of calculated temperature in our samples, therefore, suggests a possible origin of CO₂ from mantle degassing also for these waters. It is worth of note that huge emissions of CO₂ and helium from a mantle source occur from a site – namely, Naftìa Lake – located near the town of Palagonia, at the NW limit of the studied area (Figure 1) and close to the sites of the above water samples (De Gregorio et al., 2002; Giammanco et al., 2007).

Principal Component Analysis

We used a particular type of multivariate statistical analysis – namely Principal Component Analysis (PCA) – in order to distinguish between the different possible sources of solutes in our sampled waters. All calculations were performed using the STATISTICA^TM software. In our case, only the factors with eigenvalue greater than one were considered in the development of the analysis. The matrix of orthogonal factors thus calculated was then rotated using the Normalized Varimax procedure. The coefficients that quantify the relative weight of single factors in the linear combination are called loadings. Six independent factors were extracted (Table 1) and they explain 85.3% of the total variance (Table 2). Factor one is responsible for 39.4% of the overall variance and shows water T° and K negatively correlated with water hardness, Ca²⁺, NO₃^-, Ba, Hg, and Se. Factor two is responsible for 13.9% of the overall variance and is represented by hardness, conductivity, Na⁺, K⁺, Mg²⁺, Cl^-, Cu, Hg, and Se. The third factor is responsible for 11.5% of the overall variance and includes SO₄^2-, B, Cu, and F^-. The fourth factor is responsible for 10.6% of total variance, and includes hardness, Ca²⁺, Mg²⁺, HCO₃^-, Ba, Cu, F^-, Fe, Mn, Se, and As. The fifth factor is responsible for 5.4% of overall variance, showing SO₄^2- negatively correlated with Pb. Finally, the sixth factor is responsible for 4.6% of overall variance; it is represented only by Zn.

TABLE 1

Table 1. Factors extracted from the PCA for the parameters analyzed.

TABLE 2

Table 2. Parameters from PCA for the main four factors extracted.

The first factor would be indicative of water pollution from human sources, likely due to agricultural activity because of the high loadings of NO₃^- and Hg. In particular, the highest levels of NO₃^- are found in the SW part of the study area (Appendix 1 of Supplementary Material), where fertilizers are widely used in the local agricultural activities focused on wine production (this area is actually that with the largest vineyards in all east Sicily). Furthermore, the highest Hg concentrations (Appendix 1 of Supplementary Material) occur near the town of Priolo (NE part of the study area), near one of the largest oil refineries of Sicily. The second factor seems to be the expression of hydrothermal conditions in the studied aquifers. In fact, many of the parameters showing the highest loadings (in particular K⁺, Cl^-, Cu, and Se) are proxies of such conditions. The third factor is also likely related with hydrothermal conditions in the studied groundwaters. In particular, in this factor a high sulfate loading would indicate oxidation of hydrothermal H₂S, although the possibility of some sulfate input from agricultural activities cannot be ruled out, especially in the SW part of the study area for the same reasons given for factor 1.

Factor 4 is likely expression of dissolution of Ca- and Mg-bearing carbonate rocks. However, it could also be an indication of input of magmatic gasses directly into “cold” aquifers, with consequent strong water-gas-rock interaction highlighted by the high loading of HCO₃^-. The last two factors account for very low values of the total variance; besides, they are best represented by only one parameter, so they will not be considered in our later discussion for the aims of our study.

Mapping of Factors

In order to better constrain the geochemical processes revealed by PCA, we performed surface mapping with Surfer^® and using the Kriging method (Swan and Sandilands, 1995), analyzing the factor scores of the first four factors extracted from the multivariate analysis (Table 3). The maps thus produced (Figures 7A–D) helped us in the evaluation of the spatial distribution of the extracted factors.

TABLE 3

Table 3. Factor scores extracted from the multivariate analysis (PCA) relative to the selected group of thirty-three sites (see Appendix 1 for explanation of cases).

The map of Factor 1 (Figure 7A) was obtained with a standardized variogram and a linear fitting model (Nugget of 0.3; Range of 29,000; Sill of 2.22). In this study, it was the only case of a model produced with a linear best fitting, likely due to the erratic nature of the random function that describes the factor analyzed, which in turn produces an infinite variance of the process under consideration. Actually, this factor includes variables linked to human pollution from agricultural activities, a rather ubiquitous process in the study area. The map shows the presence of high values in the SW and SE parts of the study area. In particular, the maximum values of this factor are observed near the town of Priolo, located just north of Siracusa. As above mentioned, this area is known for the presence of one of the three oil refineries of Sicily and the only one in east Sicily (the other two being located near Milazzo on the northern coast of the island and near Gela on the southern coast), which might explain the pollution from elements connected with such industrial activity (e.g., Hg).

FIGURE 7

Figure 7. Maps of the spatial distribution of the scores of first four factors extracted from the PCA. (A) factor 1, indicative of water pollution from human factors; (B) factor 2, indicative of hydrothermal conditions in the studied aquifers; (C) factor 3, likely related with hydrothermal conditions in the studied groundwaters; (D) factor 4, that indicates areas affected by release of magmatic gasses with almost no heat carried by them. The base maps are extrapolated from the map in Figure 1.

Other high values of this factor are located around the town of Ragusa, in an area with intensive cultivation of grapes and thence exposed to heavy pollution from fertilizers, as above described.

The map of Factor 2 (Figure 7B) was obtained with a standardized variogram and a spherical fitting model (Nugget of 0.5; Range of 29,000; Sill of 3.21). The maximum values of this factor are located, again, close to Priolo and in the NE corner of the investigated area. Although being near the oil refinery area of Priolo, the sites with the highest scores of this factor are mostly located north of it, closer to an already known area with marked signs of presence of hydrothermal fluids (Dall’Aglio et al., 1995), best evidenced by a sulphureous hot water spring near the village of Brucoli (Highlighted in Figure 1). It is an area crossed by several deep tectonic faults, some of which are potentially seismogenic (Basili et al., 2008), likely acting as pathways for the rise of high-enthalpy deep fluids. The zone further to the north of this area is also known for the presence of warm water wells, several zones with high diffuse degassing of carbon dioxide and some mofettes with focused emission of mantle gasses, the most important of which is the Naftìa Lake (Figure 1) (Bonfanti et al., 1993; De Gregorio et al., 2002; Giammanco et al., 2007).

It is worth of note that this area, near the town of Palagonia, was site of volcanic activity during recent geological periods, until Pleistocene (Barberi et al., 1974; Behncke, 2004) and it is crossed, too, by important tectonic faults.

The map of Factor 3 (Figure 7C) was also obtained with a standardized variogram and a spherical fitting model (Nugget of 0.5; Range of 29,000; Sill of 4.71). The spatial distribution of this factor clearly shows a nice correspondence between its highest values and the zones closest to the already known areas with circulation of hydrothermal fluids (Bonfanti et al., 1993; Dall’Aglio et al., 1995; De Gregorio et al., 2002; Giammanco et al., 2007), thus confirming the interpretation given to this factor and making this factor the most important and reliable for the assessment of potential geothermal resources.

The map of Factor 4 (Figure 7D) was again obtained with a standardized variogram and a spherical fitting model (Nugget of 0.4; Range of 29,000; Sill of 5.93). Two main areas with high values can be observed in this map, corresponding to the sectors with the highest concentration of tectonic faults. Similar to the distribution of factor 2 scores, the maximum values are located, once more, north of Priolo and close to the sulphureous spring near Brucoli. This points to the attribution of factor 4 mainly to input of deep CO₂ to the aquifer, rather than to limestone dissolution only, thus marking the important role of the active tectonic faults in the area as pathways for the upward migration of deep magmatic fluids. Presence of high-pressure deep fluids (chiefly CO₂ gas) along fault planes is crucial in triggering fault motion and potential earthquake rupture by reducing fault strength (Rice, 1992; Sibson, 1992, 2000; Cox, 1995; Chiodini et al., 2004). This strengthen the hypothesis that these faults are at least in part responsible for the generation of earthquakes in this part of Sicily (Amato et al., 1995). The second zone with high values of this factor seems also spatially related with the most important regional fault lines in SE Sicily, as above cited (Scicli-F. Irminio Fault system, trending N-S or NNE-SSW, and the Comiso-Chiaramonte fault system, trending NE-SE). In this case, the parameters belonging to this factor would suggest rise of magmatic gasses with almost no heat carried by them. The source of gas would be the mantle itself, as suggested by isotopic values of He and C of CO₂ measured in local dissolved gasses (Grassa, 2002; Grassa et al., 2006).

Conclusion

This study represents the first attempt to use a large dataset of chemical parameters in groundwaters from the Hyblean area in SE Sicily for the assessment of the local geothermal potential.

Using the appropriate classification diagrams, it was possible to highlight the sites whose water chemistry is the closest to that typical of geothermal environments.

By applying the PCA to the data from those sites, we were able to further investigate the causes for the observed chemical features of groundwater. Among the different sources of dissolved chemicals, often acting together at a same site, some were related to pollution from local human activities (mostly related with agriculture, as it is the main land use in the region, see Figure 2), some to possible input of deep magmatic fluids (likely rising from the mantle through active regional faults, as suggested from the presence of sites with strong emission of mantle-derived CO₂ in the area), some others to circulation of geothermal fluids. Mapping of the factor scores for the “geothermal source” revealed from PCA allowed us to discriminate the areas with the highest geothermal potential.

The results indicated clearly that the study area – affected by volcanism until the middle Pleistocene – is still site of active mantle degassing, providing an almost inexhaustible source of heat to the existing geothermal reservoirs.

This work is primarily intended to serve as a basis for future works in the same area that will use new data, more specifically focused on those parameters linked to geothermal conditions. The final purpose is to prepare the ground for a future exploitation of the area. The analyses presented here will also implement the knowledge on how to use hydro-geochemistry for the assessment of the geothermal potential in low-temperature systems, similar to what has already been done in other areas of the world (e.g., Sanliyuksel and Baba, 2011; Asta et al., 2012; Blasco et al., 2018; Morales-Arredondo et al., 2018).

The preliminary analysis presented here looks promising in view of a future extensive use of the geothermal resource. Given the widespread use of the land for agricultural and farming purposes (the area is famous for the production of wine, tomatoes and vegetables in general, oranges and other fruits, cheese, as well as for cattle and fish farming) and the large urbanization in SE Sicily, exploitation of low-enthalpy geothermal systems such as those described in this work appears as a major resource for the support and promotion of economic development in the region.

Author Contributions

PB and SG conceived the study. GR, PB, and SG did the geothermometric estimates, the statistical analysis, and the PCA analysis of the data. All the authors contributed to the discussion and co-wrote the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feart.2019.00088/full#supplementary-material

Footnotes

1. ^https://geothermal.org
2. ^http://geothermalweb.org
3. ^http://www.regione.sicilia.it/presidenza/ucomrifiuti/acque/pagina_1.htm

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