Investigation of the Effect of Hydrothermal Waters on Radionuclide Activity Concentrations in Natural Marble with Multivariate Statistical Analysis

Yalçın, Fusun; Unal, Sezer; Yalçın, Mustafa Gürhan; Aktürk, Özgür; Ocak, Sema Bi̇lge; Özmen, Süleyman

doi:10.3390/sym12081219

Cited by 13 publications

(9 citation statements)

References 45 publications

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“…Factor analysis was applied to determine the variances of the correlations that were found to be statistically signi cant in the correlation table (Yalcin et The data was found to be suitable for factor analysis, and the sampling adequacy measure was found to be greater than 0.5 (Sharma, 1996;Yalcin et al, 2020a;Yalcin et al, 2020b). The number of factors under which the data were collected was interpreted using the scree plot (Fig.…”

Section: Factor Analysismentioning

confidence: 99%

WITHDRAWN: Evaluation of Terra Rossa Clay Soils Using Major and Trace Element Geochemistry, GIS and Multivariate Statistical Analysis methods: a case study in Kas, Sutlegen Village, Antalya, Turkey

Atakoglu

Yalçın

2022

Preprint

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Terra rossa is a soil formed by weathering by the effect of parent rock and various fluids in subtropical and tropical climatic regions. Major and trace element geochemistry of terra rossa is important for understanding its environmental conditions and interpreting its genesis. Methods: A total of 51 Terra rossa samples collected from the Sutlegen village in the Kas district of Antalya were subjected to geochemical analysis. The mean percentages of the major element contents of the terra rossa were found as follows: 45.2% Al2O3, 30.8% SiO2, 17.42% Fe2O3, 3.5% TiO2, 0.61% CaO, 0.54% MgO, 0.39% K2O, 0.26% P2O5, and 0.09% SO3. The Al2O3–SiO2–Fe2O3 triangular diagram revealed that the samples underwent moderate laterization. The paleoclimatic indicators of the terra rossa soil samples were obtained according to the results of the chemical analysis, and it was interpreted that these soil samples were of autochthonous origin and formed in environments with carbonate and non-carbonate rocks, affected by ultrabasic fluids depending on the magmatic and meta-magmatic rocks.

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Section: Factor Analysismentioning

confidence: 99%

WITHDRAWN: Evaluation of Terra Rossa Clay Soils Using Major and Trace Element Geochemistry, GIS and Multivariate Statistical Analysis methods: a case study in Kas, Sutlegen Village, Antalya, Turkey

Atakoglu

Yalçın

2022

Preprint

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“…However, in other locations, they were greater than 1 (one). The national Maximum Permissible Concentration (MPC) values for heavy metal concentrations have been determined on a national scale, [61,63]. The distribution map of the Potential Ecological Risk Index (RI) values of the study area is shown in Figure 4.…”

Section: Results Of Indexmentioning

confidence: 99%

Data Analysis of Beach Sands’ Chemical Analysis Using Multivariate Statistical Methods and Heavy Metal Distribution Maps: The Case of Moonlight Beach Sands, Kemer, Antalya, Turkey

Yalçın

2020

Symmetry

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Multivariate statistical methods are widely used in several disciplines of fundamental sciences. In the present study, the data analysis of the chemical analysis of the sands of Moonlight Beach in the Kemer region was examined using multivariate statistical methods. This study consists of three parts. The multivariate statistical analysis tests were described in the first part, then the pollution indexes were studied in the second part. Finally, the distribution maps of the chemical analyses and pollution indexes were generated using the obtained data. The heavy metals were mostly observed in location K1, while they were sorted as follows based on their concentrations: Mg > Fe > Al > Ti > Sr > Mn > Cr > Ni > Zn > Zr > Cu > Rb. Also, strong positive correlations were found between Si, Fe, Al, K, Ti, P. According to the results of factor analysis, it was found that four factors explained 83.5% of the total variance. On the other hand, the coefficient of determination (R2) was calculated as 63.6% in the regression model. Each unit increase in the value of Ti leads to an increase of 0.022 units in the value of Si. Potential Ecological Risk Index analysis results (RI < 150) revealed that the study area had no risk. However, the locations around Moonlight Beach are under risk in terms of Enrichment Factor and Contamination Factor values. The index values of heavy metals in the anomaly maps and their densities were found to be successful; and higher densities were observed based on heavy metal anomalies.

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“…The number of factors extracted for the geochemical data and the cumulative variances explained for these factors were calculated. The principal component analysis was applied to reveal the geochemical compositions of the factors statistically (Table 9) [29], [51]- [54]. The geochemical components explaining each factor were revealed.…”

Section: Factor Analysismentioning

confidence: 99%

Geostatistical analysis and spatial distribution map of geochemical contents of the Susuzdag Formation limestones

Atakoglu¹,

Yalçın²

2022

Pamukkale J Eng Sci

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ÖzLimestones, which are a type of carbonate rocks that are classified as karstification of rocks, are widely observed in the Antalya complex. The assessment of the elemental relationships in the formation of limestones by using statistical methods is important for the interpretation of paleoredox states in the environment and for understanding its diagenetic conditions. In the study, limestone samples collected from the Susuzdag Formation were analyzed by the XRF method to determine their chemical contents. Also, thin cross-sections of the limestone samples were prepared and the mineralogical properties of the formation were determined by performing detailed optical microscopy examinations. The order of the contents enriched during the formation of limestones is as follows: SiO2,

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Investigation of the Effect of Hydrothermal Waters on Radionuclide Activity Concentrations in Natural Marble with Multivariate Statistical Analysis

Cited by 13 publications

References 45 publications

WITHDRAWN: Evaluation of Terra Rossa Clay Soils Using Major and Trace Element Geochemistry, GIS and Multivariate Statistical Analysis methods: a case study in Kas, Sutlegen Village, Antalya, Turkey

WITHDRAWN: Evaluation of Terra Rossa Clay Soils Using Major and Trace Element Geochemistry, GIS and Multivariate Statistical Analysis methods: a case study in Kas, Sutlegen Village, Antalya, Turkey

Data Analysis of Beach Sands’ Chemical Analysis Using Multivariate Statistical Methods and Heavy Metal Distribution Maps: The Case of Moonlight Beach Sands, Kemer, Antalya, Turkey

Geostatistical analysis and spatial distribution map of geochemical contents of the Susuzdag Formation limestones

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