Interpretation of the Factors Defining Groundwater Quality of the Site Subjected to the Wildfire of 2007 in Ilia Prefecture, South-Western Greece
Laboratory of Hydrogeology, Department of Geology, University of Patras, 26504 Rio-Patras, Greece
*
Author to whom correspondence should be addressed.
Geosciences 2018, 8(4), 108; https://doi.org/10.3390/geosciences8040108
Submission received: 18 February 2018
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Revised: 17 March 2018
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Accepted: 19 March 2018
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Published: 23 March 2018
(This article belongs to the Special Issue Selected Papers from 1st International Congress on Earth Sciences in SE Asia)
Abstract
:The present study examines the factors that define groundwater quality of a site subjected to the wildfire of 2007 in Ilia Prefecture, Peloponnese. This wildfire was the most severe in Greece in the last decade. An extensive sampling was carried out three months after the fire. Ninety-nine samples were analyzed in the Hydrogeology Laboratory of University of Patras for major and trace elements. The groundwater samples were classified into three hydrochemical types: Ca-HCO3, Ca-HCO3-SO4 and Ca-Na-HCO3. The hydrochemical results, processed using R-type factor analysis, resulted in a three-factor model that did not indicate any wildfire impact. The values of pH and electrical conductivity ranged between the expected levels for the area. The most abundant cations (Ca, Mg, Na, K) and trace elements (Mn, Zn, Cu, Cd, Pb, V) in the ash, occurred in the majority of the groundwater samples at concentrations below the potable limits set by the European Council. The concentrations of NO3−, NO2−, NH4+, phosphates, and sulphates, where present, were attributed to agricultural land uses of the area. No hydrochemical disturbances were found that could indicate a fire-retardant effect. It is likely that the prominent thickness of the unsaturated zone, of the granular aquifers that prevail in the area, limited the infiltration of the elements and trace elements usually found in abundance in fire ash.
1. Introduction
Wildfires are common in Mediterranean areas during summer time. For many researchers, their severity over the last decade was linked to Climate Change, which lead to soil erosion and a decrease in biodiversity [1]. The most severe wildfire of the last decade, in Greece, occurred in Ilia Prefecture, Southwestern Greece, during 24–28 August 2007. The biggest part of the burnt site consisted of pine forest (Pinus halepensis). There have been several publications over the current decade that report on the impacts of the produced ash on soil and soil water, mentioning the need for the potential impacts on groundwater to be also examined. According to several laboratory-conducted studies that simulated the combustion of biomass, such as P. halepensis, ash is alkaline (pH = 9–13.5), rich in elements, such as Ca, Mg, Na, K, Al, Fe and P, S and trace elements, such as Mn and Zn [2,3,4]. The most prevailing elements after the wildfires were reported to be Ca, Mg, K, Si, P [5], Mn, Zn, V, Pb, Cr, and Cu [6]. The ash is transported by runoff and wind to surface waters, while a part of it, after being wet, penetrates the soil, filling up the water of aquifers; thus, affecting the soil profile and deteriorating the quality of the water supplies.
More specifically, infiltrating water elutes cations to the soil, thus altering concentrations of nutrients and pH values of the soil profile. Elevated pH values affect the availability of nutrients. A medium to high temperature of combustion values leads to intense effects in chemistry and runoff. The values of pH increase and there is a release of cations (K, Na, Ca, and Mg) from the ash. The ash produced at high temperatures of combustion is hydrophilic, facilitating infiltration. For temperatures of combustion higher than 450 °C, as in most Greek forest fires, ash is characterized by high concentrations of metals [5]. Metals are of major importance due to their high toxicity, their long life and their tendency to bioaccumulate in aquatic systems [6]. The severity of wildfires affects the type and amount of eluted elements, while the Sodium Adsorption Ratio (SAR) is higher for intense wildfires [4]. Moreover, in Mediterranean areas, as the new hydrological year begins, rainfalls are usual during the months following the period of wildfires. Rainfalls activate the transportation of ash to nearby sites by increasing the runoff [6].
According to Pereira et al. [4], Ca, S, Mg, K, and Na prevailed in soil water at an affected P. pinaster forest in Portugal. Kučerová et al. [7] found high concentrations of P, N in a Pinus rotundata forest in the Czech Republic, three years after the fire. They also reported concentrations of Soluble Reactive Phosphorus (SRP) of the same level between a newly burnt site and a site burnt seven years earlier [7].
According to Earl and Blinn [8], high concentrations of NH4, N, SRP, and K, and increased alkalinity values, lasted for thirteen months at an affected area of P. halepensis forest in the Southwestern USA, both in nearby streams and in streams far away from the affected area.
Tobin et al. [9], in California, USA, found high concentrations of dissolved N that have been gradually decreasing to average values, 3–4 years after the fire. Nagra et al. [10], in a limestone cave in Yanchep National Park, in Southwestern Australia, with a climate similar to that of the Mediterranean, attributed the movement of ions and high concentrations of SO4 and K to fire ash.
In addition, there are a number of laboratory studies mentioning the significant role of long-term fire retardants, used by the Hellenic Fire Service, and their potential impact on groundwater quality. These studies underlined the need for potential impacts to be examined under field conditions [11,12,13]. Long-term fire retardants are the same chemical compounds, nitrogen, phosphorus, and sulfur, found in agricultural fertilizers [2,3]. Laboratory treatments of P. halepensis needles have proven the leaching of ammonium ions and phosphates and the elution of Fe, Cu, Zn, and Mn into soil water, which could end up in groundwater [11].
The present study aims to investigate the effects of the aforementioned wildfires on groundwater in Ilia, thus filling this gap in the literature. This study examines and interprets the factors that define groundwater quality of a site subjected to wildfire, identifies the hydrochemical types of groundwater, and evaluates the potential wildfire effect on the groundwater of the area, based on the results of major elements and trace element analyses, which were carried out three months after the wildfire.
2. Study Area
2.1. Climate and Geology
Ilia Prefecture is an agricultural area with a low altitude, in Western Peloponnese, which borders the Ionian Sea. The prefecture occupies an area of 2681 km2 with 183,521 residents [14]. The climate of the area is Mediterranean mild (average air temperature is 17 °C, average annual precipitation is 921 mm, average wind intensity is 4.7 kn NW, and average humidity is 69%) [15]. Lithology, climate, and tectonic activity define the relief formation. The bedrock of the area consists of the formations of three geotectonic zones of the External Hellenides, as shown in Figure 1 (west to east): The Ionian zone, Gavrovo-Tripolis zone, and Olonos-Pindos zone. The neotectonic structure of the area is characterized by the presence of tectonic grabens and horsts, trending E–W and NNW–SSE [16]; examples include Illida graben and Stafylia graben [17,18,19].
The aquifer systems of the area can be classified into two main categories. The first category consists of karst aquifer systems (E–SW and NW–SE), which occupy 20% of the affected area. They belong to the limestones of the Olonos-Pindos and Gavrovo-Tripolis zones. They include considerable aquifers, mostly developed in Cretaceous limestones (Figure 1). Tectonic activity and karstification of the limestones resulted in the formation of these aquifers. The second category consists of granular aquifer systems of Neogene and Quaternary. Granular aquifer systems occupy 80% of the study area (Figure 1). They were formed inside alluvial deposits where the superposition of confined aquifers occurs. Unconfined aquifers have often been developed in Quaternary deposits, where groundwater flows to the direction of the sea. The principal aquifers of the granular formations are found in depths between 50–100 m or greater [24,25]. The Alpheios and Pineios are the main rivers of the area.
2.2. Reported Impacts of the Wildfire
The study area is the largest area of Ilia Prefecture which has been subjected to the most severe wildfire of the last decades in Greece. The wildfire caused the burning of protected areas: 2994 ha (30%) of Foloi oak forest, 757 ha (22.5%) of Strofilia pinus forest, 67 ha (21%) of Olympia forest. It also caused habitat loss, urban damage, and human losses (25 deaths) [26]. The wildfire threatened ancient sites, such as the ancient Stadium in Olympia, where the Olympic Games took place in ancient times. The aforementioned sites are highly protected by national, international and European Commission conventions (Ramsar: 3GR011, Natura 2000—SCI, SAC: GR2320001, GR2320011, GR2330004, GR2330006, GR2330007, GR2330008, Natura 2000—SPA: GR2330009, GR2320012) [27,28].
3. Materials and Methods
Three months after the wildfire, in November 2007, 99 samples were collected from springs, boreholes, wells of the granular aquifers, and from springs of karst aquifers (Figure 1), in accordance with the United States Environmental Protection Agency’s rules [29]. Major element and trace element analyses were processed immediately after the sampling in the Hydrogeology Laboratory at the Geology Department at the University of Patras (error lies within the accepted range of ±5%). The unstable physical and chemical parameters (water temperature (Tw), electrical conductivity (E.C.), pH, dissolved oxygen (D.O.), redox potential (Eh)) were measured, in situ, using a portable Consort C533 (Consort bvba, Yunhout, Belgium). The concentration of H2S was measured in the field using a Hach DR 2400 portable spectrometer (Hach, Loveland, CO, USA), while CO2 and alkalinity were measured using a Hach Digital Titrator. NO3−, NO2−, PO43−, SO42−, F−, SiO2 and NH4+ concentrations were determined using a Hach DR 4000 spectrometer. The concentration of Cl− was measured using a Hach Digital Titrator. An Avanta P (GBC Scientific Equipment, Dandenong, Australia) was used to determine the cation’s concentrations. Concentrations of trace elements were determined using an ELAN 6100 Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) (Perkin-Elmer, Waltham, MA, USA). Phreeqc 3.0 (USGS, Reston VA, USA) was used to determine the hydrochemical types of groundwater in the study area. In order to interpret the results of the physicochemical analyses regarding groundwater quality after the wildfire, a multicomponent statistical analysis was carried out. Exploratory factor analysis was processed in SPSS 24 (IBM, Armonk, NY, USA) (Principal Component Analysis with Varimax rotation method), based on the eigenvalues criterion (eigenvalues > 1). This method is considered suitable for hydrogeological environments by several researchers and has been used in the literature for Peloponnese groundwater analysis, where our study area is also located [30,31]. Sampling adequacy was measured according to the Kaiser-Meyer-Olkin measure (0.70). In order to secure the normality of our tested data, log-transformation (the decimal logarithms of the parameters) was used for the parameters that did not initially follow the normal distribution. Spatial distribution maps of the three factors, with the concentrations of NO3−, NO2−, NH4+ and E.C., were created in GIS, ArcMap 10.5 (ESRI, Redlands, CA, USA). Since the study area is vast (the entire Ilia Prefecture is almost 2681 km2), and the sampling points were below 100 (i.e., 99), the Inverse Distance Weighting Interpolation method (IDW) was preferred over Ordinary Kriging. This is also because, although the distribution maps were practically the same, there was no conflict in the literature on the minimum number of the interpolated points, which is a prerequisite to apply IDW.
4. Results
The groundwater samples were classified into three hydrochemical types. The prevailing type was Ca-HCO3, which is typical of fresh water with an efficient recharge. The dilution of gypsum, which is abundant in the Neogene formations of the area, leads to samples of a Ca-HCO3-SO4 water type (Figure 1). The relatively-elevated Na concentrations in the Ca-Na-HCO3 type is mostly attributed to ion-exchange processes, the presence of evaporates, and, in some cases, to seawater intrusion. Nevertheless, in most cases, the aforementioned concentrations were below the permissible limits for drinking-water, according to the 98/83/EC Directive of the European Council (or according to the World Health Organization for limits that are not set by the former directive) (Table 1 and Table 2) [32,33].
After subsequent analysis, the concentrations of the major and trace elements in groundwater did not express any tendency that could be attributed to the wildfire. Wildfire ash alters the pH of both surface water and soil. A significant amount of metals and trace elements are released from the ash, emerging in surface water, soil water and groundwater. Long-term fire retardants used in wildfires are the chemical compounds of nitrogen, phosphorus, and sulfur, which could end up in groundwater. However, the average pH value after the fire was 7.1 and the maximum pH value was 8.1. Moreover the post-fire values of E.C., a parameter that indicates the increase of cations, if any, were similar or lower to those before the wildfire compared to the values of the respective parameters reported by the Institute of Geological and Mineralogical Exploration of Greece (IGME) in 2004–2005 (Table 3). In addition, no other large-scale fire event has been reported between 2004–2005 and 2007 [34,35]. The former deduction was also verified by the measured concentrations of cations (Ca, Mg, Na, and K), as shown in Table 1, and the concentrations of trace elements for groundwater (Mn, Fe, Zn, Cu, Cd, Pb, V) as displayed in Table 2. Both main elements’ and trace elements’ concentrations ranged below the potable limits for the majority of the samples [32,33]. The concentrations of nitrogen ions (NO2−, NO3−, NH4+), phosphates, sulfates, and E.C. were as expected for the area, and no alterations were found that could be attributed to the wildfire (Table 1 and Table 3, Figure 2). However, some inconsistencies in NO3− concentrations were attributed to the fertilizers and the soil amendments regularly used by the farmers. Consequently, elevated values can be randomly found in the measurements [24]. Moreover, the superposition of the aquifers in the study area and the fact that the sampling sites of 2004–2005 and 2007 were spatially close, but not the same (Table 3), account for several minor differentiations [36]. In order to examine any tendency of elevated (in some samples) parameters that could affect groundwater quality as a result of the wildfire, a multicomponent statistical analysis was performed on the respective parameters.
Multicomponent statistical analysis was carried out by applying R-type exploratory factor analysis (Principal Component Analysis with Varimax rotation) in SPSS 24, after initially performing decimal logarithm transformation on the parameters that did not follow the normal distribution. The statistical analysis resulted in a three-factor model that represented 67.34% of the initial-values information (total variance) (Table 4). The loadings of each factor are presented in Table 5.
The first factor accounts for 28.54% of the total variance (Table 4) and underlines the relation between groundwater–temperature (Tw) and the presence of Li and B. In the literature, the presence of these elements, along with higher Tw values, have been deeply associated with deep water circulation through tectonic structures, and a longer residence time. The area where the maximum scores of the first factor occur, belongs to Stafylia graben, where deep fault zones are found [17,18,19]. The aforementioned relationship accounts for the increased (maximum) value of B measured in the same area, shown in Table 1. Additionally, a proportion of the initial statistical information of the first factor is accounted to Fe and Mn, which abound in the aquifers of Amaliada and Vouprasia because of the reductive environment (slightly acidic groundwater) of the area (Figure 3a) which is verified by the corresponding pH values of Amaliada and Vouprasia, shown in Table 3 [36]. This reductive environment is more obvious by the distribution of the scores of the third factor (Figure 3c). The second factor accounts for 22.16% of the total variance (Table 4) and relates the slightly elevated concentrations of Cr, U and As, to the redox conditions (Figure 3b). The third factor accounts for 16.63% of the total variance (Table 4) and more thoroughly displays the redox conditions of the area, depicting the relation between negative values of redox potential (Eh) and Mn in reductive groundwater environments (Figure 3c).
5. Discussion and Conclusions
Vulnerability of aquifers to pollution is a function of the type of the rock, the width of the unsaturated zone, the climate of the area and the composition of the pollutants. Burnt biomass affects the composition of ash. Ash and long-term fire retardants facilitate the accumulation of major elements and trace elements, and of nitrogen, phosphorus, and sulfur compounds, respectively. In the current case study of the burnt area in Ilia, the unsaturated zone is protected by impermeable rocks. Moreover, the average annual precipitation, which is over 900 mm, allows the dissolution and transportation of pollutants through surface water and groundwater. On the contrary, karst aquifers at higher altitudes, where limestones prevail and the coastal aquifers are next to the Strofilia forest, are vulnerable to pollution. However, precipitation at higher altitudes is greater than the aforementioned average. The sampling process was carried out in November 2007, when the dry period had already finished and a number of heavy rainfalls had already occurred. Therefore, the maximum alterations in groundwater quality would have already occurred. However, chemical analyses resulted in an expected amount of concentrations of major elements and trace elements for the area. The physicochemical parameters confirmed a trivial picture for Ilia: Increased salinity of the granular aquifers’ water, compared to that of karst aquifers’, and the presence of Fe and Mn in slightly acidic water, which factor analysis also showed. The concentrations and peaks of nitrogen compounds in the area signify agricultural and livestock land-uses, where fertilizers and soil amendments are applied on a seasonal basis. After comparing the measured values of parameters, such as pH, E.C., and concentrations of NO2−, NO3−, and NH4+, before and after the wildfire of 2007, no deteriorations were detected that could be related to the use of long-term fire retardants. Phosphate leaching, which could correspond to long-term fire retardants, was not detected in groundwater as expected by the laboratory research of Pappa et al. [12]. The results are attributed to the noteworthy depth of the unsaturated zone of the granular formations that prevail in the affected area, and to the dilution that takes place along the Pineios and Alpheios rivers.
Multicomponent statistical analysis (R-type factor analysis) pointed out the relationship between Li and B, along with elevated water temperature values in an area where fault zones occur, a finding that will be further investigated in future studies
Acknowledgments
The authors would like to thank Ilia Prefecture for having funded a project that led to this study, George Siavalas for his contribution to that project and associate professor Konstantinos Nikolakopoulos for his assistance in the geostatistical analysis.
Author Contributions
The present study is a part of Stavroula’s Dimitriadou M.Sc. research. Stavroula Dimitriadou wrote the paper, carried out the statistical and geostatistical analyses, created the interpolation maps and the tables, and made the interpretation of the results. Konstantina Katsanou carried out the sampling process and the chemical analyses and constructed the geological map of the area. Stavros Charalabopoulos participated in the sampling process. Nikolaos Lambrakis coordinated the overall research and participated in the interpretation of the results.
Conflicts of Interest
The authors declare no conflicts of interest.
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Figure 2.
Distribution maps (a) NO2−; (b) NO3−; (c) NH4+; and (d) Electrical Conductivity (E.C.).
Figure 3.
Distribution maps of the three factors’ scores: (a) 1st factor: B, Li, water temperature (Tw), Ba, Fe and Mn; (b) 2nd factor: Cr, As, and U; and (c) 3rd factor: redox potential (Eh) and Mn.
Figure 3.
Distribution maps of the three factors’ scores: (a) 1st factor: B, Li, water temperature (Tw), Ba, Fe and Mn; (b) 2nd factor: Cr, As, and U; and (c) 3rd factor: redox potential (Eh) and Mn.
Table 1.
Descriptive statistics of selected major elements and main physicochemical parameters of groundwater after the wildfire.
Table 1.
Descriptive statistics of selected major elements and main physicochemical parameters of groundwater after the wildfire.
| Min | pH | Eh | Tw | E.C. | NH4+ | NO3− | NO2− | SO42− | PO43− | Cl− | K− | Na+ | Mg2+ | Ca2+ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6.1 | −65.0 | 9.4 | 214.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 0.3 | 1.4 | 1.1 | 21.0 | |
| Max | 8.1 | 231.0 | 19.8 | 1220.0 | 7.1 | 32.0 | 0.1 | 262.0 | 0.7 | 201.0 | 512.5 | 230.7 | 50.2 | 162.0 |
| Avg | 7.1 | 83.8 | 14.4 | 473.3 | 0.2 | 5.1 | 0.0 | 47.4 | 0.1 | 20.6 | 19.7 | 20.3 | 8.9 | 100.5 |
| St.D. | 0.32 | 69.77 | 2.26 | 175.42 | 1.0 | 4.17 | 0.01 | 54.50 | 0.07 | 22.21 | 52.40 | 27.89 | 7.10 | 26.57 |
| Limit | - | - | - | 2500 | 0.5 | 50.0 | 0.5 | 250.0 | - | 250.0 | - | 200 | - | - |
Min, Max, Avg, St.D. stand for minimum, maximum, average and standard deviation, respectively. Values of major elements/ions are in mg/L, values of redox potential (Eh) are in mV, values of water temperature (Tw) are in °C, values of electrical conductivity (E.C.) are in μS/cm. 3 Limits of concentrations set by 98/83/EC Directive [33], -: No specific limit set.
Table 2.
Descriptive statistics of selected trace elements in groundwater after the wildfire.
| Min | As | B | Cr | Cu | U | Pb | Li | Mn | Fe | Zn |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.09 | 4.61 | 0.00 | 1.21 | 0.00 | 0.55 | 0.46 | 0.00 | 0.00 | 0.27 | |
| Max | 7.06 | 333.40 | 41.45 | 5.61 | 4.68 | 47.61 | 26.49 | 319.39 | 881.65 | 51.25 |
| Avg | 0.63 | 37.27 | 6.18 | 0.10 | 0.76 | 5.11 | 5.49 | 16.86 | 50.80 | 14.32 |
| St.D. | 0.79 | 42.01 | 7.42 | 1.01 | 0.94 | 5.90 | 4.59 | 45.72 | 130.14 | 13.92 |
| Limit | 10 | 1000 | 50 | 2000 * | 30 * | 10 | - | 50 | 200 | - |
Table 3.
Comparison of parameters before and after the wildfire, between selected samples, per area [36].
Table 3.
Comparison of parameters before and after the wildfire, between selected samples, per area [36].
| pH | E.C. | HCO3 | NO3 | PO4 | SO4 | Cl | K | Na | Mg | Ca | Fe | Mn | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alifeira 05 | 8.2 | - | - | 6.20 | - | 26.90 | 49.6 | 2.30 | 243.70 | 4.50 | 10.30 | - | - |
| Alifeira 07 | 7.3 | 319.00 | 226.92 | 6.00 | 0.11 | 10.80 | 8.60 | 0.64 | 8.50 | 4.61 | 22.50 | 23.04 | 0.25 |
| Amaliada 05 | 7.4 | 646.00 | 273.98 | 31.00 | - | 86.45 | 17.70 | 0.78 | 13.79 | 9.73 | 109.82 | - | - |
| Amaliada 07 | 6.9 | 553.00 | 306.22 | 10.00 | 0.07 | 178.00 | 19.10 | 1.32 | 20.28 | 10.58 | 107.00 | 50.61 | 23.95 |
| Andritsaina 05 | 7.5 | - | 384.00 | 43.40 | - | 124.00 | 69.10 | 0.80 | 50.60 | 36.90 | 119.00 | 7.50 | - |
| Andritsaina 07 | 7.9 | 345.00 | 231.80 | 12.00 | 0.11 | 43.80 | 7.80 | 3.25 | 6.84 | 2.25 | 95.50 | 0.00 | 0.00 |
| A.Olympia 05 | 7.8 | - | 384.40 | 31.00 | - | 167.50 | 125.90 | 1.70 | 74.10 | 51.10 | 118.60 | - | - |
| A.Olympia 07 | 7.2 | 470.00 | 284.26 | 8.00 | 0.12 | 2.60 | 9.10 | 0.55 | 8.40 | 2.42 | 98.50 | 22.65 | 0.20 |
| Vouprasia 05 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Vouprasia 07 | 6.8 | 428.00 | 334.28 | 3.00 | 0.10 | 32.40 | 15.00 | 1.49 | 37.11 | 10.58 | 80.00 | 39.35 | 1.69 |
| Zacharo 05 | 7.2 | 374.85 | 281.29 | 4.50 | - | 12.52 | 15.20 | 0.99 | 11.93 | 4.95 | 97.57 | - | - |
| Zacharo 07 | 6.9 | 411.00 | 325.74 | 9.00 | 0.07 | 4.80 | 10.00 | 0.71 | 9.71 | 3.22 | 105.00 | 0.00 | 0.19 |
| Iardanos 04 | 7.8 | - | 360.00 | 9.30 | - | 63.90 | 227.00 | 5.50 | 131.00 | 54.50 | 67.30 | - | - |
| Iardanos 07 | 8.0 | 782.00 | 491.66 | 3.00 | 0.74 | 152.50 | 87.20 | 6.52 | 130.70 | 16.70 | 41.00 | 145.13 | 20.31 |
| N.Figaleia 05 | 7.3 | - | 326.50 | 24.80 | - | 142.50 | 88.60 | 0.90 | 79.20 | 33.10 | 94.60 | - | - |
| N.Figaleia 07 | 7.0 | 450.00 | 340.38 | 15.00 | 0.06 | 117.80 | 89.20 | 1.08 | 66.69 | 25.21 | 102.50 | 28.91 | 0.59 |
| Pineia 05 | 7.7 | - | 292.90 | 6.20 | - | 99.42 | 74.46 | 3.13 | 37.00 | 18.00 | 113.83 | - | - |
| Pineia 07 | 6.9 | 465.00 | 381.86 | 12.00 | 0.08 | 80.30 | 41.00 | 0.61 | 40.07 | 3.28 | 133.50 | 19.64 | 0.39 |
| Pyrgos 05 | 7.3 | 766.60 | 345.00 | 3.10 | - | 74.00 | 21.30 | 2.30 | 18.40 | 39.80 | 74.70 | - | - |
| Pyrgos 07 | 7.0 | 583.00 | 279.38 | 13.20 | 0.09 | 70.00 | 51.60 | 1.67 | 25.32 | 9.50 | 84.50 | 25.08 | 0.60 |
| Skyllous 04 | 7.5 | 1498.00 | 391.00 | 24.80 | - | 187.00 | 128.0 | 2.30 | 13.80 | 73.00 | 152.00 | - | - |
| Skyllous 07 | 7.0 | 1220.00 | 346.48 | 10.00 | 0.07 | 92.50 | 25.10 | 2.44 | 28.54 | 15.50 | 132.50 | 0.00 | 0.00 |
| Oleni 05 | 7.6 | 267.00 | 157.00 | 0.00 | - | 6.00 | 5.30 | 0.70 | 2.30 | 3.10 | 51.30 | - | - |
| Oleni 07 | 7.0 | 373.00 | 223.26 | 2.10 | 0.08 | 32.70 | 21.50 | 1.70 | 11.99 | 4.23 | 53.50 | 38.97 | 1.41 |
04, 05, 07 stand for the years 2004, 2005, 2007, respectively. Values of major elements/ions are in mg/L, values of trace elements are in μg/L, values of E.C. are in μS/cm.
Table 4.
Total variance explained.
| Component | Initial Eigenvalues | Rotation Sums of Squared Loadings | ||||
|---|---|---|---|---|---|---|
| Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
| 1 | 3.849 | 38.492 | 38.492 | 2.855 | 28.549 | 28.549 |
| 2 | 1.723 | 17.230 | 55.722 | 2.217 | 22.168 | 50.717 |
| 3 | 1.163 | 11.626 | 67.348 | 1.663 | 16.631 | 67.348 |
| 4 | 0.922 | 9.223 | 76.571 | |||
| 5 | 0.775 | 7.749 | 84.321 | |||
| 6 | 0.562 | 5.620 | 89.941 | |||
| 7 | 0.355 | 3.554 | 93.495 | |||
| 8 | 0.289 | 2.894 | 96.390 | |||
| 9 | 0.204 | 2.037 | 98.426 | |||
| 10 | 0.157 | 1.574 | 100.000 | |||
Extraction Method: Principal Component Analysis.
Table 5.
Factor-loadings as displayed by the Rotated Component Matrix.
| Rotated Component Matrix 1 | |||
|---|---|---|---|
| Component | |||
| 1 | 2 | 3 | |
| Blog | 0.806 | ||
| Lilog | 0.737 | ||
| Balog | 0.680 | ||
| Felog | 0.680 | ||
| Tw | 0.591 | ||
| Crlog | 0.800 | ||
| Aslog | 0.797 | ||
| Ulog | 0.683 | ||
| Eh | −0.873 | ||
| Mnlog | 0.550 | 0.654 | |
1 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Blog, Lilog, Balog, Felog, Crlog, Aslog, Ulog, Mnlog stand for the decimal logarithm of each parameter, respectively (displayed loadings with absolute value greater than 0.5).
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Dimitriadou, S.; Katsanou, K.; Charalabopoulos, S.; Lambrakis, N. Interpretation of the Factors Defining Groundwater Quality of the Site Subjected to the Wildfire of 2007 in Ilia Prefecture, South-Western Greece. Geosciences 2018, 8, 108. https://doi.org/10.3390/geosciences8040108
AMA Style
Dimitriadou S, Katsanou K, Charalabopoulos S, Lambrakis N. Interpretation of the Factors Defining Groundwater Quality of the Site Subjected to the Wildfire of 2007 in Ilia Prefecture, South-Western Greece. Geosciences. 2018; 8(4):108. https://doi.org/10.3390/geosciences8040108
Chicago/Turabian StyleDimitriadou, Stavroula, Konstantina Katsanou, Stavros Charalabopoulos, and Nikolaos Lambrakis. 2018. "Interpretation of the Factors Defining Groundwater Quality of the Site Subjected to the Wildfire of 2007 in Ilia Prefecture, South-Western Greece" Geosciences 8, no. 4: 108. https://doi.org/10.3390/geosciences8040108
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