This paper describes research on two of the largest karst springs in Poland's Tatra Mountains – Goryczkowe and Bystrej Górne – both located in the Tatra National Park. The aim of the study was to determine the potential contributing area for the Bystrej Gorne Spring. Research has shown that seasonal changes in the physical and chemical properties of water in both springs followed a similar pattern; however, observed differences were not statistically significant. Additionally, research has shown that the potential contributing area is different than that previously identified by other researchers. The chemical composition of water obtained from each spring was dominated by Ca2+ and HCO−3, and included small amounts of the biogenic NO−3 ion. The highest values of the measured physical and chemical parameters were noted in winter, while the lowest values were noted in spring and summer. Principal component analysis was used to assess the physical and chemical parameters of water obtained from both studied springs. Water dilution and catchment biological activity were identified as two key processes affecting physical and chemical properties of karst spring water. Several differences were identified between the springs – water temperature, pH, mineralization, as well as the concentration of Mg2+, HCO−3, and SO24.
INTRODUCTION
Springs are natural outflows of groundwater on the Earth's surface. High discharge springs are of particular importance and supply a significant percentage of drinking water in the world (Veni et al. 2001). Ford & Williams (2007) estimate that about 25% of the world's population uses water obtained from karst aquifers every day. Most karst springs occur in areas characterized by unique hydrogeological conditions, where surface water systems and groundwater systems are closely linked and form one water circulation system (White 1993). Vaucluse springs are one type of karst springs that yield autochthonous water, with mean discharge at more than 100 L s−1 (Barczyk 2008).
Vaucluse spring waters originate in extensive systems of karst fissures, which make the identification of contributing areas difficult. Therefore, hydrologists and hydrogeologists studying karst aquifers often analyze water chemistry as well as selected physical properties of water. Changes in physical and chemical properties of water are used to identify areas contributing groundwater, assess water flow rates, and compare groundwater data for different geographic regions (Shuster & White 1971; Cowell & Ford 1983; Scanlon & Thrailkill 1987; Taylor & Greene 2008). Examples of the types of data usually sought include water temperature, hardness, as well as rCa/rMg ratio. The use of spring discharge data in conjunction with water chemistry data makes it possible to better understand water circulation in karstified carbonate aquifers. Cowell & Ford (1983), as well as Ede (1973), state that infrequent changes in spring water temperature indicate a diffuse-type spring, while frequent changes indicate a conduit-type spring (strong atmospheric precipitation effects). The rCa/rMg ratio is used to assess chemical water–rock interactions and water circulation times. The frequency of changes in geochemical and hydrological properties has often been used to determine water circulation patterns and to identify karst springs as conduit type and diffuse type. Frequent changes in ion concentrations suggest conduit-type springs, while less frequent changes suggest diffuse-type springs (Shuster & White 1971; Scanlon 1990). Musgrove & Banner (2004) found that there is a higher rCa/rMg ratio for diffuse recharge water due to longer contact between water and rocks. Water with a higher calcium concentration is used to classify springs as diffuse flow type, as opposed to conduit flow type (Desmarais & Rojstaczer 2002). The two largest springs in the Tatras are the Goryczkowe and Bystrej vaucluse springs, which could be used to provide drinking water to the nearby city of Zakopane. Both springs are found in Tatra National Park. Bystrej Górne Vaucluse Spring functions naturally. Some water is collected from Bystrej Dolne Vaucluse Spring and diverted to the nearby PTTK Hotel Górski Kalatówki. Some water is also obtained from Goryczkowe Vaucluse Spring and diverted to Myślenickie Turnie – a cable car transfer station run by the Polish Cable Car Company. Hence, the physical and chemical characteristics of water produced by the two springs vary naturally, which is why both are good candidates for a case study. The lack of human impact and a lack of studies in the potential contributing area of the selected springs make them attractive sites for research. The purpose of the research would be to determine the extent of the contributing area of Bystrej Górne Vaucluse Spring based on physical and chemical parameters as well as its overall functioning. In this paper, the two karst springs are analyzed concurrently. A synchronous study of two vaucluse springs makes it possible to show differences and similarities in terms of chemical parameters. The two springs are Goryczkowe Vaucluse Spring, where dye was used to determine its contributing area, and Bystrej Vaucluse Spring, where years of research have not produced results in the form of ponors in karst systems.
STUDY AREA
Study area in the Polish Tatras and main karst flows (black rectangle – study area).
Study area in the Polish Tatras and main karst flows (black rectangle – study area).
DATA AND METHODS
The research was conducted over the course of 1 year from November 2011 to October 2012. One half liter water sample was collected once a month from each spring for a total of 24 samples for the purpose of synchronous analysis. Water temperature, electrical conductivity [EC25°C], and pH were measured in the field using a multifunctional WTW 350i meter with an integrated POLYPLAST PRO glass electrode manufactured by Hamilton as well as an LR-325/01 conductometric sensor made by WTW (constant k = 0.1) with a built-in PT-1000 temperature sensor. Water levels and spring discharge were measured using a water current meter with an OTT ADC acoustic discharge sensor.
Chemical analysis of all water samples was performed using ion chromatography at the Hydrochemical Laboratory of the Institute of Geography and Spatial Management at Jagiellonian University. Water samples were first filtered using a 0.45 µm syringe filter. Next, the content of each sample was determined using a DIONEX ICS-2000 ion chromatograph. Water samples were analyzed for the following 14 ions: Ca2+, Mg2+, Na+, K+, , SO42–, Cl–, Li+, F–, Br–, NH4+, NO2–, NO3–, and PO43–. The last four ions are known as biogenic ions. The accuracy of the analytical method was estimated using a relative standard deviation for 12 consecutive analyses of a standard solution. The error for the anion solution averaged about 1% for each ion analyzed. The error for the cation solution averaged 0.4% for each ion analyzed. Close to 100% of the desired product was recovered, which proved to be an excellent outcome and confirmed the efficacy of the method used. The product recovery rate varied 1% from ion to ion. The quality of the chromatograph used was continuously tested using certified reference materials. The reference materials used to test the chromatograph included rainwater with a low pH (A Es-02 [Lot No. 901]) and river water (Trois-94 [Lot No. 306]). The accuracy of the cation determination in the case of metals was additionally confirmed by comparing with inductively coupled plasma mass spectrometry (ICP–MS) output. Tables on detection limits, mean ion recovery values, error analysis based on the ion balance, and parameters of the chromatographic system used are available in the monograph Temporal and spatial variation in the physical and chemical characteristics of water in Tatra National Park (Żelazny 2012). It is important to note that water in the Tatra Mountains has a very low ion content: 56.1% of the 1,018 Tatra Mountain springs analyzed are characterized by an ion content of less than <3 mval L−1. The mean relative error based on the ion balance was calculated to be 2.28% and the median was 2.14% (Żelazny 2012).
Mineral content (TDS) was calculated as the total of all the ions identified. Total hardness was calculated as the total of rCa2+ and rMg2+ expressed in mval L−1. A water saturation index was calculated for calcite (SIc) and dolomite (SId) (Parkhurst & Appelo 2013). Saturation calculations were performed using PHREEQC Interactive 3.0 software.
It was assumed that positive values of the saturation index represent the precipitation of calcite or dolomite, while negative values represent dissolution. A state of equilibrium was designated using a value of zero with a fluctuation of ±5% log of the equilibrium constant. Principal component analysis (PCA) was used to identify factors affecting the physical and chemical characteristics of the tested water samples. The Kaiser criterion was used to select the most important factors. Analysis of variance (ANOVA) and Scheffe's post hoc test (p = 0.95) were used to check for statistically significant differences between average values of selected physical and chemical characteristics of spring water for different seasons. In this paper, it is assumed that each season consists of 3 months: (1) winter – December, January, February; (2) spring – March, April, May; (3) summer – June, July, August; (4) autumn – September, October, November. Scheffe's test was used to test for significant differences between the studied springs in terms of chemistry and physical characteristics. A lack of differences would suggest that the contributing areas of each spring feature a similar geological structure. In this paper, several basic statistics are used to analyze data including the median (Me), mean, minimum (min), maximum (max), as well as quantiles (quartiles: Q25% and Q75%; deciles: D10% and D90%). The coefficient of variation (Cv), defined as the ratio of the standard deviation and the mean, is used to describe the variation of parameters and is expressed as a percentage.
RESULTS AND DISCUSSION
Physical and chemical characteristics of two vaucluse springs
. | Discharge . | Temperature . | . | EC25°C . | Hardness . | TDS . | . | . | . | . | . | . | . | . | . | . | . | . | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | (L s−1) . | (°C) . | pH . | (μS cm−1) . | (mval·L−1) . | (mg L−1) . | Ca2+ . | Mg2+ . | Na+ . | K+ . | NH4+ . | HCO3− . | SO42− . | Cl– . | NO3− . | rCa/rMg . | SIc . | SId . | |
Mean | Bystrej Górne Vaucluse Spring | 258 | 4.4 | 7.91 | 123.8 | 1.31 | 103.6 | 19.43 | 4.08 | 0.91 | 0.33 | 0.023 | 70.93 | 5.52 | 0.44 | 1.80 | 2.90 | − 0.55 | − 1.78 |
Median | 244 | 4.4 | 7.93 | 123.8 | 1.31 | 101.1 | 19.35 | 4.29 | 0.92 | 0.33 | 0.023 | 69.43 | 5.64 | 0.40 | 1.75 | 2.87 | − 0.52 | − 1.70 | |
Min | 197 | 4.3 | 7.46 | 92.0 | 0.92 | 79.3 | 13.76 | 2.76 | 0.76 | 0.25 | 0.002 | 55.10 | 4.27 | 0.31 | 1.61 | 2.61 | − 1.09 | − 2.88 | |
Max | 339 | 4.6 | 8.25 | 155.2 | 1.69 | 133.1 | 25.38 | 5.15 | 1.14 | 0.44 | 0.061 | 91.51 | 6.71 | 0.82 | 2.12 | 3.50 | − 0.09 | − 0.85 | |
Q25% | 217 | 4.4 | 7.69 | 112.0 | 1.14 | 91.6 | 16.75 | 3.43 | 0.83 | 0.27 | 0.003 | 62.73 | 4.57 | 0.31 | 1.66 | 2.75 | − 0.80 | − 2.27 | |
Q75% | 300 | 4.5 | 8.18 | 138.5 | 1.48 | 115.8 | 22.32 | 4.65 | 0.94 | 0.38 | 0.040 | 78.63 | 6.27 | 0.51 | 1.98 | 2.98 | − 0.29 | − 1.21 | |
Cv (%) | 19.6 | 2.2 | 3.3 | 16.8 | 20.0 | 16.6 | 20.4 | 20.1 | 10.5 | 19.4 | 89.2 | 16.0 | 16.4 | 35.1 | 9.8 | 8.1 | 57.1 | 36.5 | |
Mean | Goryczkowe Vaucluse Spring | 484 | 4.8 | 8.13 | 105.2 | 1.08 | 84.1 | 16.28 | 3.28 | 0.95 | 0.43 | 0.021 | 51.24 | 9.67 | 0.40 | 1.73 | 3.11 | − 0.55 | − 1.79 |
Median | 404 | 4.8 | 8.14 | 103.4 | 1.01 | 80.8 | 15.07 | 3.19 | 0.95 | 0.31 | 0.010 | 49.77 | 9.36 | 0.36 | 1.73 | 2.93 | − 0.52 | − 1.70 | |
Min | 105 | 4.6 | 7.87 | 61.2 | 0.60 | 48.2 | 9.55 | 1.52 | 0.74 | 0.23 | 0.002 | 29.40 | 4.36 | 0.29 | 1.61 | 2.71 | − 1.01 | − 2.81 | |
Max | 1164 | 5.0 | 8.40 | 145.0 | 1.55 | 117.7 | 23.49 | 4.64 | 1.15 | 1.95 | 0.066 | 72.80 | 15.34 | 0.69 | 1.90 | 4.27 | − 0.25 | − 1.14 | |
Q25% | 194 | 4.8 | 8.01 | 91.1 | 0.88 | 73.3 | 13.68 | 2.61 | 0.90 | 0.24 | 0.003 | 46.26 | 6.54 | 0.32 | 1.63 | 2.83 | − 0.66 | − 2.02 | |
Q75% | 656 | 4.9 | 8.26 | 121.4 | 1.33 | 99.7 | 19.57 | 4.24 | 0.99 | 0.35 | 0.043 | 59.56 | 13.13 | 0.46 | 1.82 | 3.17 | − 0.38 | − 1.41 | |
Cv (%) | 76.9 | 2.4 | 2.0 | 22.5 | 25.5 | 23.2 | 24.0 | 30.7 | 11.1 | 111.7 | 105.4 | 22.9 | 39.0 | 28.7 | 5.9 | 15.0 | 44.1 | 30.4 |
. | Discharge . | Temperature . | . | EC25°C . | Hardness . | TDS . | . | . | . | . | . | . | . | . | . | . | . | . | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | (L s−1) . | (°C) . | pH . | (μS cm−1) . | (mval·L−1) . | (mg L−1) . | Ca2+ . | Mg2+ . | Na+ . | K+ . | NH4+ . | HCO3− . | SO42− . | Cl– . | NO3− . | rCa/rMg . | SIc . | SId . | |
Mean | Bystrej Górne Vaucluse Spring | 258 | 4.4 | 7.91 | 123.8 | 1.31 | 103.6 | 19.43 | 4.08 | 0.91 | 0.33 | 0.023 | 70.93 | 5.52 | 0.44 | 1.80 | 2.90 | − 0.55 | − 1.78 |
Median | 244 | 4.4 | 7.93 | 123.8 | 1.31 | 101.1 | 19.35 | 4.29 | 0.92 | 0.33 | 0.023 | 69.43 | 5.64 | 0.40 | 1.75 | 2.87 | − 0.52 | − 1.70 | |
Min | 197 | 4.3 | 7.46 | 92.0 | 0.92 | 79.3 | 13.76 | 2.76 | 0.76 | 0.25 | 0.002 | 55.10 | 4.27 | 0.31 | 1.61 | 2.61 | − 1.09 | − 2.88 | |
Max | 339 | 4.6 | 8.25 | 155.2 | 1.69 | 133.1 | 25.38 | 5.15 | 1.14 | 0.44 | 0.061 | 91.51 | 6.71 | 0.82 | 2.12 | 3.50 | − 0.09 | − 0.85 | |
Q25% | 217 | 4.4 | 7.69 | 112.0 | 1.14 | 91.6 | 16.75 | 3.43 | 0.83 | 0.27 | 0.003 | 62.73 | 4.57 | 0.31 | 1.66 | 2.75 | − 0.80 | − 2.27 | |
Q75% | 300 | 4.5 | 8.18 | 138.5 | 1.48 | 115.8 | 22.32 | 4.65 | 0.94 | 0.38 | 0.040 | 78.63 | 6.27 | 0.51 | 1.98 | 2.98 | − 0.29 | − 1.21 | |
Cv (%) | 19.6 | 2.2 | 3.3 | 16.8 | 20.0 | 16.6 | 20.4 | 20.1 | 10.5 | 19.4 | 89.2 | 16.0 | 16.4 | 35.1 | 9.8 | 8.1 | 57.1 | 36.5 | |
Mean | Goryczkowe Vaucluse Spring | 484 | 4.8 | 8.13 | 105.2 | 1.08 | 84.1 | 16.28 | 3.28 | 0.95 | 0.43 | 0.021 | 51.24 | 9.67 | 0.40 | 1.73 | 3.11 | − 0.55 | − 1.79 |
Median | 404 | 4.8 | 8.14 | 103.4 | 1.01 | 80.8 | 15.07 | 3.19 | 0.95 | 0.31 | 0.010 | 49.77 | 9.36 | 0.36 | 1.73 | 2.93 | − 0.52 | − 1.70 | |
Min | 105 | 4.6 | 7.87 | 61.2 | 0.60 | 48.2 | 9.55 | 1.52 | 0.74 | 0.23 | 0.002 | 29.40 | 4.36 | 0.29 | 1.61 | 2.71 | − 1.01 | − 2.81 | |
Max | 1164 | 5.0 | 8.40 | 145.0 | 1.55 | 117.7 | 23.49 | 4.64 | 1.15 | 1.95 | 0.066 | 72.80 | 15.34 | 0.69 | 1.90 | 4.27 | − 0.25 | − 1.14 | |
Q25% | 194 | 4.8 | 8.01 | 91.1 | 0.88 | 73.3 | 13.68 | 2.61 | 0.90 | 0.24 | 0.003 | 46.26 | 6.54 | 0.32 | 1.63 | 2.83 | − 0.66 | − 2.02 | |
Q75% | 656 | 4.9 | 8.26 | 121.4 | 1.33 | 99.7 | 19.57 | 4.24 | 0.99 | 0.35 | 0.043 | 59.56 | 13.13 | 0.46 | 1.82 | 3.17 | − 0.38 | − 1.41 | |
Cv (%) | 76.9 | 2.4 | 2.0 | 22.5 | 25.5 | 23.2 | 24.0 | 30.7 | 11.1 | 111.7 | 105.4 | 22.9 | 39.0 | 28.7 | 5.9 | 15.0 | 44.1 | 30.4 |
Mean physical and chemical characteristics of three vaucluse springs in Tatra National Park (Żelazny et al. 2013a)
Feature . | Units . | Chochołowskie Vaucluse Spring . | Źródło Lodowe Vaucluse Spring . | Olczyskie Vaucluse Spring . |
---|---|---|---|---|
Temperature | (°C) | 5.0 | 4.5 | 4.5 |
pH | (pH) | 8.01 | 8.08 | 8.24 |
EC25°C | (μS cm−1) | 178.3 | 201.6 | 131.4 |
TDS | (mg L−1) | 145.9 | 176.9 | 111.9 |
Ca2+ | 24.74 | 36.21 | 16.83 | |
Mg2+ | 8.33 | 5.62 | 6.95 | |
Na+ | 0.78 | 0.44 | 0.78 | |
K+ | 0.43 | 0.51 | 0.34 | |
94.11 | 126.15 | 77.49 | ||
15.01 | 5.62 | 7.03 | ||
Cl− | 0.51 | 0.49 | 0.42 | |
1.98 | 1.78 | 2.03 |
Feature . | Units . | Chochołowskie Vaucluse Spring . | Źródło Lodowe Vaucluse Spring . | Olczyskie Vaucluse Spring . |
---|---|---|---|---|
Temperature | (°C) | 5.0 | 4.5 | 4.5 |
pH | (pH) | 8.01 | 8.08 | 8.24 |
EC25°C | (μS cm−1) | 178.3 | 201.6 | 131.4 |
TDS | (mg L−1) | 145.9 | 176.9 | 111.9 |
Ca2+ | 24.74 | 36.21 | 16.83 | |
Mg2+ | 8.33 | 5.62 | 6.95 | |
Na+ | 0.78 | 0.44 | 0.78 | |
K+ | 0.43 | 0.51 | 0.34 | |
94.11 | 126.15 | 77.49 | ||
15.01 | 5.62 | 7.03 | ||
Cl− | 0.51 | 0.49 | 0.42 | |
1.98 | 1.78 | 2.03 |
Physical and chemical characteristics of Goryczkowe and Bystrej Górne spring water. A lack of significant differences between the two springs is marked with a rectangle.
Physical and chemical characteristics of Goryczkowe and Bystrej Górne spring water. A lack of significant differences between the two springs is marked with a rectangle.
Water chemistry of Vaucluse springs in the Tatras expressed using a Piper diagram.
Water chemistry of Vaucluse springs in the Tatras expressed using a Piper diagram.
Electrolytic conductivity and concentration of magnesium in Tatra area vaucluse springs versus all 1,018 springs in the Tatra Mountains, expressed using empirical probability density functions for chemical characteristics of spring water in relation to geological and lithological condition.
Electrolytic conductivity and concentration of magnesium in Tatra area vaucluse springs versus all 1,018 springs in the Tatra Mountains, expressed using empirical probability density functions for chemical characteristics of spring water in relation to geological and lithological condition.
Seasonal changes in the physical and chemical characteristics of Goryczkowe Vaucluse Spring and Bystrej Górne Vaucluse Spring.
Seasonal changes in the physical and chemical characteristics of Goryczkowe Vaucluse Spring and Bystrej Górne Vaucluse Spring.
PCA was used to identify two main factors (Table 3) based on discharge, water temperature, conductivity, mineral content, pH, and selected ion concentrations. The two factors explain 78.28% of variation in the case of Goryczkowe Vaucluse Spring and 85.47% of variation in the case of Bystrej Górne Vaucluse Spring. In the case of Factor 1, the greater the spring discharge, the lower the values of physical and chemical characteristics and ion concentrations in Goryczkowe and Bystrej Górne vaucluse springs. This relationship is typical of groundwater dilution processes driven by low mineral content snowmelt and precipitation water (Evans et al. 1996; Bhangu & Whitfield 1997; Piatek et al. 2009). It was observed for Goryczkowe Spring that water temperature increases with increasing discharge. The opposite tendency was noted for Bystrej Górne Vaucluse Spring. The negative relationship between spring discharge and the concentration of Ca2+, Mg2+, Na+, and as well as the correlation between the four ions indicate that these ions come from rock weathering (Caissie et al. 1996). Next, in the case of Factor 2 for Bystrej Górne Vaucluse Spring, the higher the water temperature, the higher the pH and the lower the concentrations of K+, Na+, Cl–, and
. In the case of Goryczkowe Vaucluse Spring, the higher the water temperature, the higher the pH and concentration of
and the lower the concentration of
, Cl–, and NO3– (Factor 2). This factor is associated with the absorption of ions needed to sustain life in the catchment. The concentration of biogenic ions usually decreases during the vegetation season due to ion absorption by plants (Semkin et al. 1994; Campbell et al. 2000; Sullivan & Drever 2001; Butturini & Sabater 2002; Clark et al. 2004; Lovett et al. 2005; Toran & White 2005).
Factor loadings of physical and chemical characteristics of Goryczkowe Vaucluse Spring and Bystrej Górne Vaucluse Spring
Vaucluse spring . | Goryczkowe . | Bystrej Górne . | ||
---|---|---|---|---|
Feature . | Factor 1 . | Factor 2 . | Factor 1 . | Factor 2 . |
Discharge | 0.94 | 0.86 | ||
Temperature | 0.48 | − 0.52 | − 0.47 | − 0.49 |
pH | − 0.49 | − 0.65 | − 0.63 | |
EC25°C | − 0.94 | − 0.98 | ||
TDS | − 0.94 | − 0.98 | ||
Ca2+ | − 0.98 | − 0.98 | ||
Mg2+ | − 0.92 | − 0.94 | ||
Na+ | − 0.75 | 0.88 | ||
K+ | − 0.61 | − 0.59 | 0.68 | |
NH4+ | − 0.63 | 0.67 | − 0.78 | |
− 0.89 | − 0.96 | |||
SO42– | − 0.72 | − 0.55 | − 0.90 | |
Cl– | − 0.57 | 0.76 | − 0.85 | 0.45 |
NO3– | − 0.55 | 0.79 | − 0.83 | 0.47 |
Variance (%) | 56.98 | 21.30 | 66.46 | 19.01 |
Vaucluse spring . | Goryczkowe . | Bystrej Górne . | ||
---|---|---|---|---|
Feature . | Factor 1 . | Factor 2 . | Factor 1 . | Factor 2 . |
Discharge | 0.94 | 0.86 | ||
Temperature | 0.48 | − 0.52 | − 0.47 | − 0.49 |
pH | − 0.49 | − 0.65 | − 0.63 | |
EC25°C | − 0.94 | − 0.98 | ||
TDS | − 0.94 | − 0.98 | ||
Ca2+ | − 0.98 | − 0.98 | ||
Mg2+ | − 0.92 | − 0.94 | ||
Na+ | − 0.75 | 0.88 | ||
K+ | − 0.61 | − 0.59 | 0.68 | |
NH4+ | − 0.63 | 0.67 | − 0.78 | |
− 0.89 | − 0.96 | |||
SO42– | − 0.72 | − 0.55 | − 0.90 | |
Cl– | − 0.57 | 0.76 | − 0.85 | 0.45 |
NO3– | − 0.55 | 0.79 | − 0.83 | 0.47 |
Variance (%) | 56.98 | 21.30 | 66.46 | 19.01 |
Loadings ≥0.70 are bold, loadings less than 0.40 are excluded.
The weaker relationship between water temperature and the concentration of in Bystrej Górne Spring indicates that catchment biological activity is less important in this particular case. Factors that differentiate the springs' contribution areas include the presence of extensive woodland areas on slopes in the potential contribution area of Bystrej Górne Vaucluse Spring and the presence of lakes in the contribution area of Goryczkowe Vaucluse Spring. Additional research is needed on seasonal changes in nitrate concentration in spring water.
CONCLUSIONS
Based on physical and chemical characteristics, water obtained from the two studied vaucluse springs is typical of low mineral content waters found in temperate climate zones, with hydrogen carbonate as the main anion and calcium as the main cation.
Changes in the physical and chemical characteristics of water in both springs follow a similar pattern over the course of the year, with several exceptions. Seasonal changes in the physical and chemical characteristics of water in both springs occur due to the dilution of groundwater with low mineral content precipitation water, which is a key driver of change. The second primary driver of change is catchment biological activity, as manifest by a decrease in the concentration of biogenic ions during the vegetation season.
The two springs are both similar and different in a number of ways. The physical and chemical characteristics of water in both springs are similar in terms of ion concentrations, hydrochemical indicators, and seasonal changes therein, which suggests that their source aquifers are similar, but not the same. An analysis of spring water chemistry based on empirical density functions makes it possible to show that the most likely contributing area of Bystrej Górne Vaucluse Spring is the western crystalline part of Bystrej Valley.
ACKNOWLEDGEMENTS
The research is a part of the following project: ‘Factor determining spatial variability and dynamics of water chemical composition in Tatra National Park’, financed by the Polish Ministry of Science and Higher Education (MNiSzW–N305-081 32/2824).