Data analysis of the Gumusler Dam Lake Reservoir soils using multivariate statistical methods (Nigde, Türkiye)

Tümüklü, Ali; Sunkari, Emmanuel Daanoba; Yalçın, Fusun; Atakoglu, Ozge Ozer

doi:10.1007/s13762-022-04519-8

Cited by 4 publications

(3 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vogt (1927) [59]; Roaldset (1972) [52] In the literature, similar studies have been carried out in Burdur, Nigde and Antalya provinces in Turkiye and geochemical compositions have been examined [60][61][62]. Attention has been drawn to the increasing anthropogenic impact [63].…”

Section: Index Of Laterization Iolmentioning

confidence: 99%

“…Attention has been drawn to the increasing anthropogenic impact [63]. Similar studies have used multivariate statistical analyses for determining surface water and sediment quality for heavy elements [60], for the analysis of dam lake reservoir soils [61], for examining the geochemical contents of beach sand along the coastline [62], and to infer natural and anthropogenic origin and paleo-environment of past coastal environments [63].…”

Section: Index Of Laterization Iolmentioning

confidence: 99%

See 1 more Smart Citation

An Investigation of the Chemical Composition of Bottom Sediments from Dried Lake Gavur of Turkiye by Using XRF and Multivariate Data Analysis

Topuz,

Keskin,

Karabulut

et al. 2024

Gazi University Journal of Science

View full text Add to dashboard Cite

Lake sediments offer valuable information about the geographical, climatic and environmental changes. This work examined the chemical elements of eleven sediment samples from the old bottom (0-5m; 0.5m increments) of the dried Lake Gavur in Türkiye by applying XRF along with PCA and PLSR data analyses. The highest but negative correlations were observed for Sr (-0.89), S+SO3 (-0.74) and Zr+ZrO2 (-0.61) with sampling depths meaning that their concentrations were lower in deeper locations (4.0-5.0 m). In contrast, Ti+TiO2 (0.60), Al+Al2O3 (0.53) and Cu+CuO (0.51) had high and positive correlations and their quantities increased as the depth increased. The age of two samples was determined as 4752±33 BP years (2.5 m) and 5470±35 BP (5.0 m). Ca+CaO content was found as lower and Ti+TiO was higher in the deeper sediment (5.0 m) indicating rainy periods. PCA clustered the samples into two groups as deeper samples (4.0-5.0 m) and other samples (0.0-3.5m) while PLSR grouped them into three clusters as deeper (4.0-5.0 m), medium-depth (1.5-3.5 m) and shallower (0.0-1.0m) samples. PLSR model had a good performance to estimate the sampling depth from the chemical elements (R2cal=0.95; R2val=0.67) which means that the variations of the chemicals were highly dependent on the sampling depth.

show abstract

Section: Index Of Laterization Iolmentioning

confidence: 99%

Section: Index Of Laterization Iolmentioning

confidence: 99%

An Investigation of the Chemical Composition of Bottom Sediments from Dried Lake Gavur of Turkiye by Using XRF and Multivariate Data Analysis

Topuz,

Keskin,

Karabulut

et al. 2024

Gazi University Journal of Science

View full text Add to dashboard Cite

show abstract

“…Factor analysis was conducted to determine the variances in the correlations that were found to be statistically significant in the correlation table [56][57][58][59][60][61][62]. The Kaiser-Meyer-Olkin test was conducted to evaluate the suitability of the data for factor analysis [63][64][65][66] (Table 7).…”

Section: Factor Analysismentioning

confidence: 99%

Geochemistry of Red Soils in the Kas District of Antalya (Türkiye) Using Multivariate Statistical Approaches and GIS

et al. 2023

Self Cite

View full text Add to dashboard Cite

Red soil is formed by weathering due to the effect of bedrock and various fluids in subtropical and tropical climate zones. The major and trace element geochemistry of red soil are important for understanding its environmental conditions and interpreting its genesis. This study aims to determine how red soil is formed in the study area, where magmatic rocks are located, and to determine their relationship with magmatic fluids. In this context, geochemical analyses were conducted, and index values, spatial distributions, and multivariate statistics of the samples were calculated. Methods: A total of 49 red soil samples collected from the Sutlegen Village in the Kas district of Antalya were subjected to geochemical analysis. The following major elements were found in the red soil samples: Al2O3, SiO2, Fe2O3, TiO2, CaO, MgO, K2O, P2O5, and SO3. The Al2O3–SiO2–Fe2O3 triangular diagram revealed that the samples underwent moderate laterization. Multivariate statistical analyses indicated that major element oxides of Al2O3, Fe2O3, and SiO2 behaved differently from other components and revealed that red soil formations were associated with magmatic fluids. The region is a potential area for economic bauxite resources. Detailed investigations should be conducted on mineral exploration for bauxite ore.

show abstract

Fe3O4-SiO2-MIL-53 (Fe) nanocomposite for magnetic dispersive micro-solid phase extraction of cadmium (II) at trace levels prior to HR-CS-FAAS detection

et al. 2023

View full text Add to dashboard Cite

Data analysis of the Gumusler Dam Lake Reservoir soils using multivariate statistical methods (Nigde, Türkiye)

Cited by 4 publications

References 75 publications

An Investigation of the Chemical Composition of Bottom Sediments from Dried Lake Gavur of Turkiye by Using XRF and Multivariate Data Analysis

An Investigation of the Chemical Composition of Bottom Sediments from Dried Lake Gavur of Turkiye by Using XRF and Multivariate Data Analysis

Geochemistry of Red Soils in the Kas District of Antalya (Türkiye) Using Multivariate Statistical Approaches and GIS

Fe3O4-SiO2-MIL-53 (Fe) nanocomposite for magnetic dispersive micro-solid phase extraction of cadmium (II) at trace levels prior to HR-CS-FAAS detection

Contact Info

Product

Resources

About