Climatic Changes in the Arctic Regions of Eastern Siberia over the Last Millenium according to the Lithological–Geochemical Data on Bottom Sediments of Peyungda Lake (Krasnoyarsk Krai, Evenkia)

Scanning micro-X-ray fluorescence analysis with synchrotron radiation was applied to obtain the depth-variation profiles of element compositions of banded clays in Peyungda Lake (Krasnoyarsk krai, Evenkia) located 30 km southwest of the epicenter of the Tunguska event (1908). The age model was confi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Doklady earth sciences 2024-02, Vol.514 (2), p.349-353
Hauptverfasser: Darin, A. V., Rogozin, D. Yu, Novikov, V. S., Meydus, A. V., Babich, V. V., Markovich, T. I., Rakshun, Ya. V., Darin, F. A., Sorokoletov, D. S., Degermendzhi, A. G.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Scanning micro-X-ray fluorescence analysis with synchrotron radiation was applied to obtain the depth-variation profiles of element compositions of banded clays in Peyungda Lake (Krasnoyarsk krai, Evenkia) located 30 km southwest of the epicenter of the Tunguska event (1908). The age model was confirmed by a dated layer of anomalous thickness related to the fall and explosion of the Tunguska Cosmic Body (TCB). The variations in the element content in dated core layers were compared with the instrumental meteorological observation data over the last century. The regional average annual temperature and element compositions of the coeval bottom sediments (transfer function) were found to be interrelated. The approximation of the transfer function to the sampling depth of the sedimentary section made it possible to reconstruct the air temperature in the studied region over the past 1000 years. The average annual temperature reconstructions in the study area compared with the global temperature reconstructions in the Arctic region for the same period made it possible to reveal general trends and extreme values.
ISSN:1028-334X
1531-8354
DOI:10.1134/S1028334X23603012