Paleoenvironmental and paleoclimatic changes of Engir Lake (Central Anatolia) and its surroundings during the last 1090 years: The fossil diatom record

MUTLU, Gönül; Doǧan, Uǧur; Atıcı, Tahir; Şenkul, Çetin

doi:10.1016/j.quaint.2022.09.011

Cited by 1 publication

(2 citation statements)

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“…Chemical analysis of the sediments from different depths can lead to information about the history of the geological and environmental changes of the nearby basin area [9,11]. Hence, the current research examined the chemical elements of the eleven sediment samples from the old bottom (0-5m; 0.5m increments) of the dried Lake Gavur by applying XRF along with PCA and PLSR multivariate data analysis techniques.…”

Section: Discussionmentioning

confidence: 99%

“…Climate events (especially precipitation) occurring in a region are one of the most important factors affecting the chemical composition of the sedimentation in lakes and seas [6][7][8]. The uninterrupted chronological ordering of records from the recent and distant past with certain analyzes makes it possible to read environmental changes from the lakes and seas and their surrounding area [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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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

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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.

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Section: Discussionmentioning

confidence: 99%