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. 2024 Aug 30;10(17):e37145. doi: 10.1016/j.heliyon.2024.e37145

Characterization of a typical urban soil in terms of natural radionuclide content. The case study of a university campus

Serpil Aközcan Pehlivanoğlu a,b, Simona Mancini b,c,, Selin Özden a, Michele Guida b,c, Mariarosaria Falanga c,d
PMCID: PMC11409136  PMID: 39296170

Abstract

A first comprehensive survey was carried out in a university campus in Italy in order to investigate in terms of natural elements an area where medium-high values of natural radiation are expected because of its peculiar geological features. The content of terrestrial radionuclides in 20 topsoil samples from the campus was determined with the aim to provide an important database of the soil characteristics.

226Ra, 232Th, and 40K concentrations were analysed by High Purity Germanium (HPGe) gamma-ray spectrometer in order to determine the background levels of natural radionuclides characteristics of the original area. The mean concentrations of radionuclides in the investigated soil samples ranged from 58.95 ± 4.20 to 158.05 ± 19.95 Bq kg−1 for 226Ra, from 72.28 ± 7.61 to 146.00 ± 22.27 Bq kg−1 for 232Th and, for 40K, from 550.76 ± 33.24 to 1367.50 ± 18.73 Bq kg−1. The radiological hazard indices, including radium equivalent activity, external hazard index, annual effective dose, absorbed dose rate, lifetime excess cancer risk, were also evaluated and compared with global averages, revealing values above the worldwide ones. Finally, a spatial modelling methodology of the site-specific radionuclides levels as graphical tool for the monitoring of the potential land redevelopment of urban soils was proposed.

Keywords: Urban soil, HPGe, γ-ray spectrometry, Natural radionuclides, Gamma dose

Highlights

  • 226Ra, 232Th, and 40K gamma spectrometry measurements.

  • Assessment of the impact on human health and statistical analysis of the estimated parameters.

  • Spatial distribution of the background levels of 226Ra, 232Th, and 40K in an urban soil.

1. Introduction

There are natural and man-made sources of radiation in the environment to which there is always exposure. Natural radiation sources represent the most important part of the total radiation exposure in the environment. The primary source of external radiation for humans is naturally occurring radioactive materials (NORMs), which are typically present at various levels in all environments [1]. NORM includes long-lived radioactive elements such as uranium, thorium and potassium and any of their decay products such as radium and radon [2]. Soil is the main source of all life-supporting substances, directly or indirectly, and is also the main distributor of the natural background radiation dose to which humans are exposed. Soil, which is the upper part of the earth's crust formed by the deformation of the rock as a result of physical and chemical processes, contains not only organic and inorganic matter, but also naturally occurring radionuclides such as Uranium (238U), Thorium (232Th), Potassium (40K) and their decay products. These isotopes are influenced by different geological and geographical factors since their distribution in soil generally depends on the characteristics of the parent rock and soil, so varying from one site to another. In general, relatively increased radioactivity is associated with igneous rocks and decreased with sedimentary rocks. Igneous rocks, that is, sialic rocks (especially granitoids), contain significantly higher concentrations of natural radionuclides than ultramafic and mafic rocks. However, there are some exceptions, such as some shales and phosphates that show relatively high radionuclide content [3,4].

The Italian peninsula has a unique intricate geological framework as result of several geodynamic events associated with the opening and closure of the Tethyan Ocean [5]. The geological structure of the Italian territory comprises recent volcanic rocks, granitic areas, and high permeability soils located in the vicinity of seismic faults. Among the Italian regions, Campania, a region located on the south-western part of the Italian peninsula, exhibits all those features in its territory characterized by the presence of volcanic lithotypes and sediments [6,7]. In this kind of areas, where medium-high levels of radon potential from soil are expected because of the geological features deeper investigation could be required not only for radiation protection purposes but also in the contexts of the characterization of the urban soil. The determination of the contents of natural radionuclides in soil could be intended as a fingerprint of the characteristics of the original soil important for the monitoring of topsoil redevelopment as consequence of the human and construction activities in urban environment. The characterization of such soils is not only relevant for a direct consequence on human health but also, in an indirect way, because they can play a role in climate change. Indeed, soils are complex systems made of plants, microorganisms, and rocks and they can be effective in the reduction of atmospheric CO2 and carbon sequestration. We remind that the atmospheric carbon dioxide is a major greenhouse gas resulting from global natural and human activities and has a significant impact on global warming. The presence of specific radionuclides in soil can affect the growth of plants and, thus, intervene in the radiative balance [8].

In light of the previous considerations, this research is devoted to the characterization of urban soils in a context where radiation protection is crucial. Therefore, this work presents the results of a first comprehensive study of the area of the campus of the University of Salerno, which can be considered as representative of urban soil frequented by staff, students and researchers. The present research is aimed to.

  • i)

    Determine the 226Ra, 232Th, and 40K activity concentrations in soils;

  • ii)

    Evaluate the radiological hazard indices and radiation doses received by people living in the area;

  • iii)

    Compare the results with international average values and threshold values defined by regulation;

  • iv)

    Propose a spatial distribution modelling methodology for the characterization of urban soils in terms of contents of natural radionuclides characteristics of the area.

In the ‘Materials and methods’ section all the phases and techniques used for the determination of the 226Ra, 232Th, and 40K activity concentrations in soils is described as well as the calculation of the international radiological hazard indicators for the assessment of the health risk, in terms of doses received by people living in the area. In section 3 results of the radiological hazard indices and radiation doses have been graphically represented and compared with international mean values and thresholds and a spatial distribution modelling methodology have been proposed as possible tool to implement by authorities for the visual characterization of the urban soils features in terms of contents of natural radionuclides. Future developments and improvements have been discussed in the conclusion section, then.

2. Materials and methods

2.1. Sample collection, preparation and analysis by gamma spectrometry

The investigated area is the campus of the University of Salerno, located in the Campania region, south of Italy. The University of Salerno includes various campuses spread across the territory. The main one is located in the municipality of Fisciano, in the Irno valley. Settled on an area of 1,200,000 m2, it houses the majority of the facilities (canteen, theatre, police office, swimming pool, post office, students’ premises, etc) (Fig. 1). The area belongs to the Alto Irno-Solofrana territorial sector (Fig. 1(a)), homogeneous in terms of geological, morphological and anthropization conditions, and whose lithological formations, as can be observed from the map of the Radon Prone areas of the province of Salerno, has a medium-high level of radon potential from soil [7] which could represent a potential cause of the “Indoor Radon” problem and so interesting from a radioprotection point of view.

Fig. 1.

Fig. 1

(a) Localization of the study area in the Italian Peninsula; (b) aerial view of the campus of Fisciano (Campania region, Italy) with evidence of the station measurements (@google earth, 2023).

The territory is essentially covered by river sediments interspersed with pyroclastites deriving from the eruption of the Vesuvius volcano in the nearby Neapolitan area. The sedimentary succession, of which the valley is made up, is covered by a thin thickness of soil, which is found underneath by fluvial and pyroclastic deposits. This sequence extends for a thickness of 20–40 m and is supported by bases made up of volcanic tuffs. The area of our interest, corresponding to the alluvial fan on which the Campus extends, is characterized by an alternation of alluvial deposits with different depositional periods. At the ground level, there is the presence of vegetal soil which rests on a succession of horizons made up of alternations of gravel and silty sand, generally of a pyroclastic nature, which in turn overlies a layer of alluvial fan gravel (104m from the ground level) and one of ancient alluvial deposits (185m from the ground level) [6].

In order to model the spatial distribution of the content of 226Ra, 232Th, 40K, to characterize the area in terms of natural environmental pollution, 20 sampling points along the campus perimeter were selected (Fig. 1(b)).

Surface soil samples were collected from the 20 selected points. The soil samples were collected from a depth of about 0–10 cm. In the laboratory, soil samples were transferred to an oven at 105 °C until no detectable change in weight was noticed. Thereafter, they were grinded and sieved by using a 2 mm mesh screen to get fine homogenous powder samples [9]. The soil samples were sealed and stored 250 mL in cylindrical plastic containers for a minimum of 40 days to allow secular equilibrium between radium (226Ra) and its decay products before gamma spectrometric analysis.

The activity concentration of radionuclides in the samples was measured by using an HPGe gamma spectrometer (ORTEC, USA), with a relative efficiency of 70 % and a resolution of 2.0 keV for a gamma line of 60Co at 1332 keV. The calibrations were made using a standard mixed source with an energy range of 47–1836 keV (Eckert & Ziegler Isotope Products Laboratories) including known activity levels of 210Pb, 139Ce, 109Cd, 241Am 57Co, 113Sn, 203Hg, 85Sr, 88Y, 137Cs, and 60Co peaks.

All samples were counted for 86400s. Background intensities were also obtained under the same conditions before and after the measurement of the samples. GammaVision-32 software was used for the spectra collection and analysis of the spectra were carried out by Maestro (ORTEC GEM70P4-95) software. The activity concentration of 226Ra was determined from ɤ-ray lines at 351.9 keV for 214Pb and 609.3 keV for 214Bi, respectively. The content of 232Th was obtained from photo peaks of 228Ac at 911.2 keV and 208Tl at 583.1 keV. The activity concentration of 40K was determined using an ɤ-ray line at 1460.8 keV [10,11]. The following equation (Eq. (1)) was used to calculate the activity concentration of each radionuclide:

A(Bqkg1)=NRɛ.m.Iɤ (1)

where A (Bq kg−1) is the activity concentration of a radionuclide in the surface soil sample, NR is the net ɤ counting rate, ɛ is the detection efficiency in the gamma energy of interest, m is the mass of the measured sample and Iɤ is the ɤ-ray emission probability.

2.2. Radiological hazard parameter calculation

The outdoor and indoor absorbed dose rates (Dout and Din) were calculated by Eqs. (2), (3)). The outdoor absorbed gamma dose rate, Dout (nGy h−1) in air through terrestrial ɤ radiation at 1 m above the ground, has been calculated from the 226Ra, 232Th, 40K activity concentrations (ARa, ATh, AK) [12]:

Dout=0.462ARa+0.604ATh+0.0417AK (2)

Indoor absorbed dose rate (Din) due to the presence of 226Ra, 232Th, 40K in indoor environments estimated using the following relation [12]:

Din=0.920ARa+1.10ATh+0.0810AK (3)

Outdoor and indoor annual effective dose equivalent (AEDEout and AEDEin) values can be identified by Eqs. (4), (5)). AEDEout (μSv y−1) and AEDEin (μSv y−1), caused by exposure to NORMs in surface soil samples, was calculated using the following equations [10,13,14]:

AEDEout(μSvy1)=Dout(nGyh1)×8760(hy1)×0.2×0.7(SvGy1)×103 (4)
AEDEin(μSvy1)=Din(nGyh1)×8760(hy1)×0.8×0.7(SvGy1)×103 (5)

where Dout and Din are the absorbed gamma dose rate (nGy h-1); 8760 corresponds to the hours per year; 0.2 is the outdoor occupancy factor, 0.8 is the indoor occupancy factor and 0.7 is the dose convention factor (Sv Gy-1).

The Radium Equivalent Activity (Raeq) was calculated by using Eq. (5) [15]:

Raeq(Bqkg1)=ARa+1.43ATh+0.077AK (5)

which assumes that 370 Bq kg−1 of 226Ra, 259 Bq kg−1 of 232Th or 4810 Bq kg−1 of 40K have the same ɤ dose rate (ARa,ATh,AK are the activities of 226Ra, 232Th, 40K, respectively). Since NORMs are distributed nonuniformly in environmental media Raeq is a proper parameter to compare activity concentrations in samples and, thus, it has been determined to compare the activity concentrations of NORMs.

To estimate the level of radiological risk due to NORMs, external exposure to NORMs the radiation hazard index, Hex was calculated for the surface soil samples by Eq. (6) [16]:

Hex=ARa370+ATh259+AK4810 (6)

Hex must be below unity to avoid radiation.

The Excess Lifetime Cancer Risk (ELCR), giving the lifetime cancer risk probability from exposure to ionizing radiation in any population, was estimated by using Eq. (7) [17]:

ELCR=AEDE(μSvy1)×DL(y)×RF(Sv1), (7)

where AEDE is the annual effective dose equivalent; DL is the average duration (70 years), and RF is the fatal risk factor (0.057) [18].

2.3. Principal component analysis

The Principal Component Analysis (PCA) is an important statistical tool in various research fields from geochemical applications [19], radiological analysis [20], evaluation of radioactive pollution sources [21] to seismic [22], and acoustic environments [23]. It is a well-established method for performing a linear mapping of the data to a lower dimensional space in such a way that the variance of the data in the low-dimensional representation is maximized [24]. In practise, PCA gives information on the dimensionality of the measures and on the information, they carry on (for further details, please refer to Refs. [25,26].

The PCA was carried out using IBM SPSS 25. This method groups related dependent variables into a series of components by calculating an eigenvalue for each group of variables [27]. Varimax orthogonal rotation was applied to identify variables. Varimax rotation allowed us to obtain a clear system as a result of eliminating invalid components.

3. Results and discussion

3.1. Activity concentrations of 226Ra, 232Th and 40K in soil samples

Activity concentrations of 226Ra, 232Th and 40K in soil samples, mean of activity concentrations and world average values are shown in Fig. 2. The activity concentrations were found at a range of 58.95 ± 4.20–158.05 ± 19.95 Bq kg−1 for 226Ra (Figs. 2(a)), 72.28 ± 7.61–146.0 ± 22.27 Bq kg−1 for 232Th (Figs. 2(b)) and 550.76 ± 33.24–1367.50 ± 18.73 Bq kg−1 for 40K (Fig. 2(c)). The mean activity concentrations of 226Ra, 232Th and 40K in soil samples were calculated as 109.85 ± 10.44 Bq kg−1, 111.53 ± 8.38 Bq kg−1, and 1094.35 ± 35.55 Bq kg−1, respectively.

Fig. 2.

Fig. 2

Graphical representation of activity concentrations of a. 226Ra, b. 232Th and c. 40K in soil samples.

The measured mean values of 226Ra, 232Th and 40K were much higher than the reported worldwide permissible values of 35 Bqkg−1, 30 Bqkg−1 and 400 Bqkg−1, respectively [12]. As seen in Fig. 2, all values of analysed natural radionuclides are higher than the world average.

To determine the spatial distribution of natural radionuclides, radioactivity level distributions were determined using the Surfer 16 software program and displayed on radiological maps. The distribution maps of activity concentrations of 226Ra, 232Th and 40K in soil samples with sampling points and coordinates are given in Fig. 3.

Fig. 3.

Fig. 3

Distribution map of (a) 226Ra, (b) 232Th, (c) 40K activity concentration with sampling points and coordinates.

Distribution maps of activity concentrations according to coordinates were obtained using the Kriging method in the Surfer 16 Program. Kriging is a method that uses data to predict and map variables in a certain region using the grid method [28]. Kriging allows estimating radiological values in the entire study area by including areas where experimental observations are not made [29]. On the distribution maps, classes are automatically formed based on the measured values form the highest activity concentration, in red, to the lowest ones, in blue.

As seen in Fig. 3(a), five distinct regions for 226Ra distribution map can be recognized. The activity concentrations of 226Ra were classified as low (55–100 Bq kg−1), moderate (100–125 Bq kg−1), high (125–130 Bq kg−1), and very high (135–145 Bq kg−1 and 145–165 Bq kg−1), which are blue, green, yellow, orange and red areas on the map. The lowest and the highest activity concentrations of 226Ra were obtained for the IT6 (40° 46′ 5.64″ N, 14° 47′ 36.14″ E) and the IT12 (40° 46′ 25.69″ N, 14° 47′ 13.47 ″E), respectively.

In Fig. 3(b), the activity concentrations of 232Th were classified by the Surfer program as low (70–100 Bq kg−1), moderate (100–120 Bq kg−1), high (120–125 Bq kg−1), very high (125–130 Bq kg−1 and 130–150 Bq kg−1), which are blue, green, yellow, orange and red areas on the map. The lowest activity concentration of 232Th was found for IT17 (40° 46′ 27.93″ N, 14° 47′ 26.33″ E) and the highest was found for IT7 (40° 46′ 13.06″ N, 14° 47′ 38.12″ E).

In the case of 40K, as can be seen in Fig. 3(c), the activity concentrations were classified as low (550–900 Bq kg−1), moderate (900–1100 Bq kg−1), high (1100–1150 Bq kg−1), very high (1150–1300 Bq kg−1 and 1300–1450 Bq kg−1), which are blue, green, yellow, orange and red areas on the map. The lowest and the highest activity concentrations of 40K were obtained for the IT10 (40° 46′ 19.69″ N, 14° 47′ 38.80″ E) and the IT18 (40° 46′ 6.29″ N, 14° 47′ 23.03″ E), respectively. Although activity concentrations are classified as moderate and low on radiological maps, they are at levels well above the world average.

A comparison of the activity concentrations of natural radionuclides in the present study in soil samples from Campania region, south of Italy, with other studies in different areas is presented in Table 1. The range of activity concentrations of all three investigated natural radionuclides, in this study, were found higher than the values for Upper Egypt, Kosovo, Erbil (Iraqi Kurdistan Region), Libya, Lithuania, Tunisia, and Skopje (Macedonia). The range values of activity concentration of 40K found is coherent with the other studies performed in different regions of the Italian peninsula. Activity concentration of 226Ra and 232Th are higher than the other italian results instead. In particular, the highest value of 226Ra content found in this study is lower only to results obtained in Korea as well as for 232Th. Since soil samples have different physical, chemical and geological structure and location characteristics, the results obtained are very site specific, varying depending on the region.

Table 1.

Comparison of natural activity concentrations in this study with other studies around the world.

Study Area Natural Activity Concentration (Bq kg−1)
References
226Ra 232Th 40K
Gudalore (India) - 19–272 75–596 [30]
Upper Egypt 10–19 1–5 94–107 [31]
Kosovo 8–30 7–31 105–515 [32]
Serbia 20–55 30–73 167–559 [33]
Najran (Saudi Arabia) 9–41 8–49 203–993 [34]
Erbil (Iraqi Kurdistan Region) 10–16 9–11 242–342 [35]
Jordan 6–1134 MDA-168 19–1362 [36]
Korea 9–108 15–282 203–1560 [37]
Libya - 5–17 242–424 [38]
Lithuania 2–37 0–21 155–710 [39]
Tunisia 5–50 5–30 93–319 [40]
Skopje (Macedonia) 24–42 38–52 502–707 [41]
Anatolian region of Istanbul (Turkey) 16–62 24–63 316–878 [11]
Northern Calabria (Italy) 11–29 336–1401 [42]
Lombardia (Italy) - 20–70 242–1434 [43]
Campania (Italy) 59–158 72–146 551–1367 This study

The natural radioactivity levels are related to the geological conditions in an area, indeed. The activity concentrations of natural radionuclides in nature, clastic sediments and sedimentary rocks contain lower levels of activity concentration. Higher radionuclide concentrations are observed in rocks of volcanic origin and lower in sedimentary rocks [[44], [45], [46]]. In the Italian peninsula, in particular in the southern regions, there are many volcanic areas, so high radionuclide concentrations in the soil are expected.

3.2. Assessment of the impact on human health

The absorbed gamma dose rate (D), the annual effective dose rate (AEDE), the radium equivalent activity (Raeq), the external hazard index (Hex), and excess life cancer risk (ELRC) were calculated, for each soil sample, to assess the radiological health risk. The calculated radiological hazard indices graphs are given in Fig. 4.

Fig. 4.

Fig. 4

Charts of estimated health hazard indices: a. Raeq, b. Dtotal, c. AEDEtotal, d. ELCR and e. Hex estimates.

The estimated Raeq, due to the activity concentrations of natural radionuclides in soil samples at the sampling site, ranges from 244.11 to 438.93 Bq kg−1 as reported in Fig. 4(a). The mean value of Raeq is 353.60 Bq kg−1 which is slightly lower than the recommended permissible value of 370 Bq kg−1 [12]. D values vary from 114.13 to 201.92 nGy h−1 as indicated in Fig. 4(b).

The mean values of Dout and Din are found to be 163.75 and 312.38 nGy h−1, respectively. The total absorbed dose rate (Dtotal) ranged from 331.40 to 587.49 nGy h−1. The values of AEDEout, AEDEin, ELCR and Hex ranged from 139.97 to 247.63 μSv y−1, from 266.46 to 472.86 μSv y−1, from 0.56x10−3 to 0.99x10−3, and from 0.66 to 1.19, respectively, as reported in Fig. 4(c–e). The total annual effective dose equivalent (AEDEtotal) ranged from 406.42 to 720.50 μSv y−1. The world average values of Dout, Din, AEDEout, AEDEin, and ELCR are 59 nGy h−1, 84 nGy h−1, 70 μSv y−1, 340 μSv y−1 and 0.29x10−3, respectively [47]. The average values of AEDEout, AEDEin and ELCR were found to be 200.82 μSv y−1, 383.10 μSv y−1 and 0.80x10−3, respectively, and these average values are higher than the world average values.

All the estimated parameters/indicators are higher than the world average values, indicating a high exposure to natural radionuclides, which in turn increases the likelihood of cancer in humans depending on the duration of exposure. The fact that radiological values are higher than the permitted values threaten human health in this region. Hex value was found between 0.66 and 1.19. At sampling points, some values are higher than permissible value (1) and therefore there is a possibility that radiological hazard may occur.

Furthermore, the average absorbed dose rates, annual effective dose equivalent and excess lifetime cancer risk due to high radionuclide activity concentrations are higher than the permissible values worldwide.

3.2.1. Statistical features

The statistical characteristics of the estimated parameters can be better analysed by using the third- and fourth-order statistical moments, skewness and kurtosis.

Skewness allows one to obtain information about the asymmetry in the distribution of a real-valued random variable. The kurtosis, instead, is likely to be the most effective property for identifying deviations from the normal (Gaussian) distribution. A symmetric Gaussian process is characterized by kurtosis equal to 0. Leptokurtic distributions (k > 0) can be associated to large outliers and/or heavy tails, whereas platykurtic distribution (k < 0) underlines an almost flat shape and/or lighter tails. Uniform distribution is a limit example. Some applications to environment, especially in seismological context, can be found in Ref. [22].

The statistical analyses were performed by using IBM SPSS version 25.0 for Windows to evaluate the behaviour of activity concentrations and radiological parameters, and the relationships between variables [48]. The frequency distributions of the activity concentrations in the soil samples are given in Fig. 5. The skewness coefficient of activity concentration of 226Ra has approximately null value (0.09), which shows the distribution peak is nearly symmetric as seen in Fig. 5(a). The skewness coefficient of activity concentration of 232Th was found to be −0.36 as shown in Fig. 5(b). Since this value is between −0.5 and 0, providing indication of a moderately skewed curve. Finally, the 40K frequency distribution curve was found to be left skewed or negatively skewed [49], having estimated a negative skewness equal to −1.13 (Fig. 5(c)).

Fig. 5.

Fig. 5

The frequency distributions of the activity concentrations of a. 226Ra, b. 232Th, and c. 40K in the soil samples.

Kurtosis of activity concentrations of 226Ra, 232Th and 40K distribution curves were found to be −1.03, −0.68 and 1.08, respectively. The negative values for 226Ra, 232Th showing lighter tails. For 40K, the distribution is leptokurtic because the kurtosis is greater than zero, which means that the tail of the distribution curve is full of data [20,49]. In other words, the positive value of kurtosis indicates a long-tailed distribution ascribable to outliers.

To determine the relationship between variables and strength of association between pairs of variables, linear Pearson correlation coefficients for soil samples were calculated. Pearson's correlation matrix is given in Table 2. As seen in the matrix, there is a high positive correlation coefficient (0.730) between 232Th and 226Ra, but weak correlation coefficients (0.080 and −0.051) between 40K and other radionuclides. The reason for the weak correlation coefficients between 40K and other radionuclides is that the 40K radionuclide does not belong to the 232Th and 238U chains. Raeq, D, AEDE, ELCR and Hex have high good positive Pearson's correlation coefficients (r ≥ 0.841) with 232Th and 226Ra which indicates that these radionuclides contribute significantly to the calculated radiological hazard parameters. In addition, although the 40K radionuclide has a lower correlation coefficient with radiological parameters compared to other radionuclides, it has a weak positive correlation (0.308), which shows that the 40K radionuclide also poses a radiological hazard. Pearson correlation analysis suggested that natural radioactivity in the study area was due mostly to 232Th and 226Ra activity concentrations and somewhat 40K.

Table 2.

Pearson's correlation matrix between couples of variables.

Variables 226Ra 232Th 40K Raeq D AEDE ELCR Hex
226Ra 1.000 0.730 0.080 0.908 0.898 0.898 0.898 0.908
232Th 0.730 1.000 −0.051 0.871 0.841 0.841 0.841 0.871
40K 0.080 −0.051 1.000 0.308 0.368 0.368 0.368 0.308
Raeq 0.908 0.871 0.308 1.000 0.998 0.998 0.998 1.000
D 0.898 0.841 0.368 0.998 1.000 1.000 1.000 0.998
AEDE 0.898 0.841 0.368 0.998 1.000 1.000 1.000 0.998
ELCR 0.898 0.841 0.368 0.998 1.000 1.000 1.000 0.998
Hex 0.908 0.871 0.308 1.000 0.998 0.998 0.998 1.000

Correlations between the combinations of radionuclides 226Ra and 232Th, 226Ra and 40K, 232Th and 40K are shown in Fig. 6(a–c). As seen from the correlation graphs (Fig. 6(a)), it is clear that a significant correlation was found between 226Ra and 232Th combination (R = 0.730, R2 = 0.533), confirmed by the high value of the Pearson correlation coefficient. Albeit a very low collation was found between both 226Ra and 40K (R = 0.080, R2 = 0.003) and 232Th and 40K (R = 0.051, R2 = 0.006), as indicated in Fig. 6(b and c), respectively. Nevertheless, it can be a feeble marker of geological and chemical characteristics [50].

Fig. 6.

Fig. 6

Correlation between a. 226Ra and 232Th, b. 226Ra and 40K, and c. 232Th and 40K.

3.3. Principal component analysis results

PCA was performed for radiological parameters using varimax rotation with the aim to extract those components (parameters) containing most information. The application of such technique to all the indicators provides the components listed in Table 3. According to the rotated factor loadings, component-1 and component-2 accounted for 83.3 % and 13.46 % of the total variance, respectively. The component-1 comprises 226Ra and 232Th with high loadings and all natural radionuclides have positive loadings. The radionuclides with high loadings in the component-1 are the most useful for individuating soil samples based on soil and rock characteristics [51]. Instead, no significant loadings were obtained for any variable of component-2, which is responsible for 13.46 % of the total variance. The results show that there are two eigenvalues and the total explained variance is 96.76 %. This value is much higher than 75 %, threshold above which the correlation results can be considered satisfying and reliable (see, e.g., Refs. [52,53]). Moreover, the total explained variance is very high meaning that the PCA results are in good agreement with Pearson correlation analysis.

Table 3.

Rotated factor loadings of the radiological variables.

Variables Components
1 2
226Ra 0.911 −0.189
232Th 0.867 −0.356
40K 0.309 0.949
Raeq 1.000 −0.001
D 0.998 0.064
AEDE 0.998 0.064
ELCR 0.998 0.064
Hex 1.000 −0.001
Variance in % 83.30 % 13.46 %

4. Conclusions

Identifying all the elements of soil is vital to decision-making for environmental monitoring related to climate change, human activities, health risk assessment purposes etc. Urban soils can be object of redevelopment caused by human activities in the context of the evolution of the area, for example. Surely, the determination of the contents of the natural radionuclides 226Ra, 232Th, and 40K plays an important role in terms of health risk assessment but their presence in the environment could be considered also as an important database for a characterization in terms of background data of the soil since these radionuclides are naturally present in the earth crust in different amounts according to the original geological features of the subsoil. Aim of this study was to put in evidence how natural radionuclides could not only be monitored for radioprotection purposes but also could be taken into account in the characterization of urban top soils for the monitoring of possible land redevelopment. For this purpose, in particular, a spatial distribution methodology has been proposed and performed. So, the evaluation of the content and spatial distribution of NORM in the area of the university campus in the province of Salerno was performed, for the first time. The activity concentrations of natural radionuclide 226Ra, 232Th and 40K in 20 soil samples have been measured using high purity germanium (HPGe). The average 226Ra, 232Th and 40K activity in all the twenty samples were 109.85 ± 10.44 Bq kg−1, 111.53 ± 8.38 Bq kg−1, and 1094.35 ± 35.55 Bq kg−1, respectively. All measured 226Ra, 232Th, and 40K average activity concentrations exceeded the global averages. These high results reflect the volcanic characteristics of the investigated soils and, accordingly, all radiological hazard parameters are higher than the safe limit. This preliminary investigation may be useful to support further studies aimed at investigating more in-depth the contamination of the soil and the assessment of the radiological risk for the population living in the area and to put in evidence the necessity to include in the characterization of urban soil also the natural radionuclides content as ‘background indicators’. The spatial distribution could represent a basis for the identification of the background levels of natural contaminants of the area as well as for the definition of a precise model, at finer scale, of the distribution of radionuclides, thus allowing a better understanding of their origin, both natural (because of the presence of relevant volcanic structures) and anthropogenic along with their temporal evolution.

Indeed, screening information, such as the 226Ra, 232Th, and 40K contents database and spatial distribution, as started in this study, will allow for more focused time and cost-effective efforts when investigating and reviewing soil data from possible effects of human activities.

Further studies will be focused on the integration of the characterization of the soil with the measurements of artificial contaminants like 137Cs in the context of projects aimed to the study of new methodologies for the biodiversity and environmental preservation.

Funding

Project funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of December 16, 2021, rectified by:

Decree n.3175 of December 18, 2021 of Italian Ministry of University and Research funded by the European Union – NextGenerationEU; Award Number: Project code CN_00000033, Concession Decree No. 1034 of June 17, 2022 adopted by the Italian Ministry of University and Research, CUP, H43C22000530001 Project title “National Biodiversity Future Center - NBFC”.

Data availability statement

Data associated with this study have not been deposited into a publicly available repository. Data are included in article/supp. material/referenced in article.

CRediT authorship contribution statement

Serpil Aközcan Pehlivanoğlu: Writing – review & editing, Resources, Methodology, Investigation, Data curation, Conceptualization. Simona Mancini: Writing – review & editing, Writing – original draft, Conceptualization. Selin Özden: Writing – original draft, Investigation, Formal analysis. Michele Guida: Supervision, Project administration. Mariarosaria Falanga: Writing – review & editing, Validation, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.heliyon.2024.e37145.

Appendix A. Supplementary data

The following is the Supplementary data to this article:

Multimedia component 1
mmc1.docx (406.9KB, docx)

References

  • 1.UNSCEAR . vol. I. 2010. (Sources and Effects of Ionizing Radiation United Nations Scientific Committee on the Effects of Atomic Radiation). (Issue c) [Google Scholar]
  • 2.Alshahri F. Radioactivity of 226Ra, 232Th, 40K and 137Cs in beach sand and sediment near to desalination plant in eastern Saudi Arabia: assessment of radiological impacts. J. King Saud Univ. Sci. 2017;29(2):174–181. [Google Scholar]
  • 3.Kapanadze K., Magalashvili A., Imnadze P. Distribution of natural radionuclides in the soils and assessment of radiation hazards in the Khrami Late Variscan crystal massif (Georgia) Heliyon. 2019;5(3) doi: 10.1016/j.heliyon.2019.e01377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Dhawal S.J., Kulkarni G.S., Pawar S.H. Terrestrial background radiation studies in south konkan, Maharashtra, India. International Journal of Radiation Research. 2013;11(4):263–270. [Google Scholar]
  • 5.Kelemework Y., Milano M., La Manna M., et al. Crustal structure in the Campanian region (Southern Apennines, Italy) from potential field modelling. Sci. Rep. 2021;11 doi: 10.1038/s41598-021-93945-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mancini S., Guida M., Guida D., Cuomo A., Siervo V. In: Stacks Radon: Geology, Environmental Impact and Toxicity Concerns Pag.1-50 Nova Science Publishers, Inc. Audrey M., editor. 2015. An innovative tool for the environmental planning based on a hierarchical adaptive multi-scale geogenic approach for the mapping of radon-prone areas on a regional scale and the assessment of indoor radon risk for population and workers: the case-study of the Campania region, southern Italy. ISBN:9781634637770. [Google Scholar]
  • 7.Mancini S., Guida M., Cuomo A., Guida D. A geogenic approach for the Radon monitoring and the exposure assessment at a regional scale: the results of the Rad_Campania project. Adv. Geosci. 2020;52:87–96. [Google Scholar]
  • 8.Tserendorj D., Szabó K.Z., Völgyesi P., Nguyen T.C., Hatvani I.G., Buczkó N., Abbaszade G., Salazar-Yanez N., Szabó C. Distribution and impacts of contamination by natural and artificial radionuclides in attic dust and urban soil samples from a former industrial Hungarian city: a case study from Salgótarján. J. Environ. Radioact. 2023;270 doi: 10.1016/j.jenvrad.2023.107291. ISSN 0265-931X. [DOI] [PubMed] [Google Scholar]
  • 9.Oladele B.B., Ugbede F.O., Arogunjo A.M., Ajayi O.S., Pereira A. Gamma spectroscopy study of soil-plant transfer factor characteristics of 40K, 232Th and 226Ra in some crops cultivated in southwestern region of Nigeria. Heliyon. 2023;9(9) doi: 10.1016/j.heliyon.2023.e19377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Özden S., Aközcan S. Natural radioactivity measurements and evaluation of radiological hazards in sediment of Aliağa Bay, İzmir (Turkey) Arabian J. Geosci. 2021;14(64) [Google Scholar]
  • 11.Aközcan S., Külahcı F., Günay O., Özden S. Radiological risk from activity concentrations of natural radionuclides: cumulative Hazard Index. J. Radioanal. Nucl. Chem. 2021;327:105–122. [Google Scholar]
  • 12.UNSCEAR . 2000. Sources and Effects of Ionizing Radiation: United Nations Scientific Committee on the Effects of Atomic Radiation UNSCEAR 2000 Report to the General Assembly, with Scientific Annexes. UNSCEAR 2000 Report. New York. [Google Scholar]
  • 13.Suresh S., Rangaswamy D.R., Sannappa J., Srinivasa E. Radiochemistry. 2021;63:672–681. [Google Scholar]
  • 14.Maden N., Akaryali E., Gücer M.A. Excess lifetime cancer risk due to natural radioactivity in Gümüşhane Province, NE Turkey. Turk. J. Earth Sci. 2020;29(2):347–362. [Google Scholar]
  • 15.Beretka J., Mathew P.J. Health Phys. 1985;48(1):87–95. doi: 10.1097/00004032-198501000-00007. [DOI] [PubMed] [Google Scholar]
  • 16.Krieger R. Betonwerk fertigteil techn. 1981;47(8):468–473. [Google Scholar]
  • 17.Taqi A., Namq B.F. Arab Journal of Nuclear Sciences and Applications. 2022;55(2):113–124. [Google Scholar]
  • 18.ICRP Publication 103 The 2007 recommendations of the international commission on radiological protection. Ann. ICRP. 2007;37(2–4) doi: 10.1016/j.icrp.2007.10.003. [DOI] [PubMed] [Google Scholar]
  • 19.Ariyibi E., Folami S., Ako B., Ajayi T., Adelusi A. Application of the principal component analysis on geochemical data: a case study in the basement complex of Southern Ilesa area, Nigeria. Arabian J. Geosci. 2011;4 [Google Scholar]
  • 20.Özden S. Assessment of natural radioactivity levels and radiological hazard parameters of soils collected from Bulgaria–Turkey border region. The European Physical Journal Plus. 2022;137(12):1368. [Google Scholar]
  • 21.Kumar M., Sharma N. Estimation of 222Rn, 220Rn exhalation rate and 226Ra, 232Th, 40K radionuclides in the soil samples of different regions of Gurdaspur district, Punjab. Mater. Today: Proc. 2022;49:3396–3402. [Google Scholar]
  • 22.Falanga M., Cusano P., De Lauro E., Petrosino S. Picking up the hydrothermal whisper at Ischia Island in the Covid-19 lockdown quiet. Sci. Rep. 2021;11:8871. doi: 10.1038/s41598-021-88266-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.De Lauro E., Falanga M., Tedeschini- Lalli L. The soundscape of the Trevi fountain in Covid-19 silence. Noise Mapp. 2020;7(1):212–222. [Google Scholar]
  • 24.Bishop C.M. Oxford University Press; 1995. Neural Networks for Pattern Recognition. [Google Scholar]
  • 25.Diamantaras K.I., Kung S.Y. John Wiley & Sons, Inc.; New York: 1996. Principal Component Neural Networks: Theory and Applications. [Google Scholar]
  • 26.Hyvärinen A., Karhunen J., Oja E. John Wiley & Sons; 2001. Independent Component Analysis. [Google Scholar]
  • 27.Reading D.G., Croudace I.W., Warwick P.E., Cigliana K.A. Applying multivariate statistics to discriminate uranium ore concentrate geolocations using (radio) chemical data in support of nuclear forensic investigations. J. Environ. Radioact. 2016;162:172–181. doi: 10.1016/j.jenvrad.2016.05.013. [DOI] [PubMed] [Google Scholar]
  • 28.Oliver M.A., Webster R. Springer International Publishing; Cham, Switzerland: 2015. Basic Steps in Geostatistics: the Variogram and Kriging (No. 11599) [Google Scholar]
  • 29.Caridi F., Di Bella M., Sabatino G., Belmusto G., Fede M.R., Romano D.…Mottese A.F. Assessment of natural radioactivity and radiological risks in river sediments from calabria (Southern Italy) Appl. Sci. 2021;11(4):1729. [Google Scholar]
  • 30.Selvasekarapandian S., Sivakumar R., Manikandan N.M., Meenakshisundaram V., Raghunath V.M., Gajendran V. Natural radionuclide distribution in soils of Gudalore, India. Appl. Radiat. Isot. 2000;52(2):299–306. doi: 10.1016/s0969-8043(99)00158-x. [DOI] [PubMed] [Google Scholar]
  • 31.El-Taher A. Terrestrial gamma radioactivity levels and their corresponding extent exposure of environmental samples from Wadi El Assuity protective area, Assuit, Upper Egypt. Radiat. Protect. Dosim. 2011;145(4):405–410. doi: 10.1093/rpd/ncq425. [DOI] [PubMed] [Google Scholar]
  • 32.Kadiri S., Dizman S., Yeşilkanat C.M., Aliu H., Hodolli G. Radioactivity in soils of Kosovo and radiological implications. Appl. Sci. 2022;12(19):9520. [Google Scholar]
  • 33.Milenkovic B., Stajic J.M., Gulan L.J., Zeremski T., Nikezic D. Radioactivity levels and heavy metals in the urban soil of Central Serbia. Environ. Sci. Pollut. Control Ser. 2015;22:16732–16741. doi: 10.1007/s11356-015-4869-9. [DOI] [PubMed] [Google Scholar]
  • 34.Al-Zahrany A., Al-Mogabes K.S. Analysis of natural radioactivity and artificial radionuclides in soil samples in the Najran region of Saudi Arabia. WIT Trans. Built Environ. 2013;134:675–684. [Google Scholar]
  • 35.Azeez H.H., Mansour H.H., Ahmad S.T. Effect of using chemical fertilizers on natural radioactivity levels in agricultural soil in the Iraqi kurdistan region. Pol. J. Environ. Stud. 2020;29(2) [Google Scholar]
  • 36.Alomari A.H., Saleh M.A., Hashim S., Alsayaheen A., Abukashabeh A. Statistical relationship between activity concentrations of radionuclides 226Ra, 232Th, 40K, and 137Cs and geological formations in surface soil of Jordan. Isot. Environ. Health Stud. 2019;55(2):211–226. doi: 10.1080/10256016.2019.1581776. [DOI] [PubMed] [Google Scholar]
  • 37.Yun J.Y., Choi S.W., Kim C.K., Moon J.Y., Rho B.H. Distribution and characteristics of radioactivity (232Th, 226Ra, 40K, 137Cs and 90Sr) and radiation in Korea. Journal of Radiation Protection and Research. 2005;30(4):167–174. [Google Scholar]
  • 38.Alajeeli A., Elmahroug Y., Mohammed S., Trabelsi A. Determination of natural radioactivity and radiological hazards in soil samples: Alhadba and Abuscabh agriculture projects in Libya. Environ. Earth Sci. 2019;78:1–8. [Google Scholar]
  • 39.Pečiulienė M., Vasiliauskienė V., Klima V., Jasaitis D. Assessment of natural radionuclides in soil samples in specific areas on the territory of Lithuania. Rom. J. Phys. 2020;65(3–4):1–12. [Google Scholar]
  • 40.Mahjoubi H., Labidi S., Mtimet S., Essafi F., Cheikh F.B. Survey of natural and artificial radioactivity in Tunisian soils. Int. J. Low Radiat. 2006;2(1–2):60–70. [Google Scholar]
  • 41.Angjeleska A., Dimitrieska-Stojkovic E., Hajrulai-Musliu Z., Črčeva-Nikolovska R., Boškovski B. Natural radioactivity levels and estimation of radiation exposure in agricultural soils from Skopje city region. Macedonian Journal of Chemistry and Chemical Engineering. 2020;39(1):77–87. [Google Scholar]
  • 42.Guagliardi I., Caloiero T., Infusino E., Callegari G., Ricca N. Environmental estimation of radiation equivalent dose rates in soils and waters of northern calabria (Italy) Geofluids. 2021;2021:1–8. [Google Scholar]
  • 43.Guidotti L., Carini F., Rossi R., Gatti M., Cenci R.M., Beone G.M. Gamma-spectrometric measurement of radioactivity in agricultural soils of the Lombardia region, northern Italy. J. Environ. Radioact. 2015;142:36–44. doi: 10.1016/j.jenvrad.2015.01.010. [DOI] [PubMed] [Google Scholar]
  • 44.Cetiner M.A., Gündüz H., Ilgar A. High background radiation areas at Çanakkale in Turkey. Radiat. Phys. Chem. 2011;80(6):704–709. [Google Scholar]
  • 45.Guagliardi I., Buttafuoco G., Apollaro C., Bloise A., De Rosa R., Cicchella D. Using gamma-ray spectrometry and geostatistics for assessing geochemical behaviour of radioactive elements in the Lese catchment (southern Italy) Int. J. Environ. Res. 2013;7(3):645–658. [Google Scholar]
  • 46.Tabar E., Yakut H., Saç M.M., Taşköprü C., İçhedef M., Kuş A. Natural radioactivity levels and related risk assessment in soil samples from Sakarya, Turkey. J. Radioanal. Nucl. Chem. 2017;313:249–259. [Google Scholar]
  • 47.UNSCEAR . United Nations; New York: 2008. Sources and Effects of Ionizing Radiation, Report to the General Assembly, with Scientific Annexes. [Google Scholar]
  • 48.Ho R. CRC press; 2013. Handbook of Univariate and Multivariate Data Analysis with IBM SPSS. [Google Scholar]
  • 49.Prakash M.M., Kaliprasad C.S., Narayana Y. Distribution of 210 Po and 210 Pb radionuclides and their dependence on physico-chemical parameters of soil in Madikeri taluk, Coorg district, Karnataka, India. J. Radioanal. Nucl. Chem. 2019;321:1081–1091. [Google Scholar]
  • 50.Bangotra P., Mehra R., Jakhu R., Kaur K., Pandit P., Kanse S. Estimation of 222Rn exhalation rate and assessment of radiological risk from activity concentration of 226Ra, 232Th and 40K. J. Geochem. Explor. 2018;184:304–310. [Google Scholar]
  • 51.Dragović S., Onjia A. Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis. J. Environ. Radioact. 2006;89(2):150–158. doi: 10.1016/j.jenvrad.2006.05.002. [DOI] [PubMed] [Google Scholar]
  • 52.Ravisankar R., Chandramohan J., Chandrasekaran A., Jebakumar J.P.P., Vijayalakshmi I., Vijayagopal P., Venkatraman B. Assessments of radioactivity concentration of natural radionuclides and radiological hazard indices in sediment samples from the East coast of Tamilnadu, India with statistical approach. Mar. Pollut. Bull. 2015;97(1–2):419–430. doi: 10.1016/j.marpolbul.2015.05.058. [DOI] [PubMed] [Google Scholar]
  • 53.Ravisankar R., Sivakumar S., Chandrasekaran A., Jebakumar J.P.P., Vijayalakshmi I., Vijayagopal P., Venkatraman B. Spatial distribution of gamma radioactivity levels and radiological hazard indices in the East Coastal sediments of Tamilnadu, India with statistical approach. Radiat. Phys. Chem. 2014;103:89–98. [Google Scholar]

Associated Data

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Supplementary Materials

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Data Availability Statement

Data associated with this study have not been deposited into a publicly available repository. Data are included in article/supp. material/referenced in article.


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