Coastal Dynamics at Kharasavey Key Site, Kara Sea, Based on Remote Sensing Data

Author:

Kazhukalo Georgii1,Novikova Anna1ORCID,Shabanova Natalya1,Drugov Mikhail1,Myslenkov Stanislav23,Shabanov Pavel13,Belova Nataliya1,Ogorodov Stanislav1ORCID

Affiliation:

1. Laboratory of Geoecology of the North, Faculty of Geography, Lomonosov Moscow State University, 1 Leninskie Gory, 119991 Moscow, Russia

2. Department of Oceanology, Faculty of Geography, Lomonosov Moscow State University, 1 Leninskie Gory, 119991 Moscow, Russia

3. Shirshov Institute of Oceanology, Russian Academy of Sciences, 36, Nakhimovskii pr., 117997 Moscow, Russia

Abstract

In recent decades, acceleration of coastal erosion has been observed at many key sites of the Arctic region. Coastal dynamics of both erosional and accretional stretches at Kharasavey, Kara Sea, was studied using multi-temporal remote sensing data covering the period from 1964 to 2022. Cross-proxy analyses of the interplay between coastal dynamics and regional (wave and thermal action) and local (geomorphic and lithological features; technogenic impact) drivers were supported by cluster analysis and wind–wave modelling via the Popov–Sovershaev method and WaveWatch III. Ice-rich permafrost bluffs and accretional sandy beaches exhibited a tendency towards persistent erosion (−1.03 m/yr and −0.42 m/yr, respectively). Shoreline progradation occurred locally near Cape Burunniy (6% of the accretional stretch) and may be due to sediment flux reversals responding to sea-ice decline. Although the mean rates of erosion were decreasing at a decadal scale, cluster analysis captured a slight increase in the retreat for 71% of the erosional stretch, which is apparently related to the forcing of wind–wave and thermal energy. Erosional hotspots (up to −7.9 m/yr) occurred mainly in the alignment of Cape Kharasavey and were predominantly caused by direct human impact. The presented study highlights the non-linear interaction of the Arctic coastal change and environmental drivers that require further upscaling of the applied models and remote sensing data.

Funder

Russian Science Foundation

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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