Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data
The retreat rates of Arctic coasts have increased in recent decades at many sites, and an essential part of coasts considered accumulative before have turned erosional due to global climate changes and construction in the coastal zone. In this paper, we study a 7 km long coastal section of the weste...
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ftmdpi:oai:mdpi.com:/2072-4292/15/1/48/ 2023-08-20T04:04:04+02:00 Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data Nataliya Belova Alexander Ermolov Anna Novikova Stanislav Ogorodov Yulia Stanilovskaya agris 2022-12-22 application/pdf https://doi.org/10.3390/rs15010048 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs15010048 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 1; Pages: 48 Arctic coasts accumulative coasts coastal erosion Gydan Peninsula Text 2022 ftmdpi https://doi.org/10.3390/rs15010048 2023-08-01T07:55:33Z The retreat rates of Arctic coasts have increased in recent decades at many sites, and an essential part of coasts considered accumulative before have turned erosional due to global climate changes and construction in the coastal zone. In this paper, we study a 7 km long coastal section of the western Gydan Peninsula in a new construction area. Based on the interpretation of multi-temporal satellite imagery, we assessed coastal dynamics in distinct periods from 1972 to 2020. We analyzed the geological structure of the coast as well as changes in hydrometeorological parameters with time, and considering the human impact, we proposed the main drivers of spatial and temporal variations of coastal dynamics. The studied low-lying sandy accumulative marine terrace was more or less stable in the period before construction (1972–2014). However, with the area’s development, the coast dynamics changed drastically: in 2014–2017, three-quarters of the studied area experienced retreat, and the average retreat rate amounted to 5.8 m/yr, up to 28.5 m/yr near the construction sites. We relate this coastal erosion intensification to human impact combined with the growth of hydrometeorological forcing. Although coastal erosion slowed down after 2017, the retreat trend remained. In the coming years, with Arctic climate warming, erosion of the studied coast will continue. Text Arctic Kara Sea MDPI Open Access Publishing Arctic Kara Sea Remote Sensing 15 1 48 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Arctic coasts accumulative coasts coastal erosion Gydan Peninsula |
spellingShingle |
Arctic coasts accumulative coasts coastal erosion Gydan Peninsula Nataliya Belova Alexander Ermolov Anna Novikova Stanislav Ogorodov Yulia Stanilovskaya Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data |
topic_facet |
Arctic coasts accumulative coasts coastal erosion Gydan Peninsula |
description |
The retreat rates of Arctic coasts have increased in recent decades at many sites, and an essential part of coasts considered accumulative before have turned erosional due to global climate changes and construction in the coastal zone. In this paper, we study a 7 km long coastal section of the western Gydan Peninsula in a new construction area. Based on the interpretation of multi-temporal satellite imagery, we assessed coastal dynamics in distinct periods from 1972 to 2020. We analyzed the geological structure of the coast as well as changes in hydrometeorological parameters with time, and considering the human impact, we proposed the main drivers of spatial and temporal variations of coastal dynamics. The studied low-lying sandy accumulative marine terrace was more or less stable in the period before construction (1972–2014). However, with the area’s development, the coast dynamics changed drastically: in 2014–2017, three-quarters of the studied area experienced retreat, and the average retreat rate amounted to 5.8 m/yr, up to 28.5 m/yr near the construction sites. We relate this coastal erosion intensification to human impact combined with the growth of hydrometeorological forcing. Although coastal erosion slowed down after 2017, the retreat trend remained. In the coming years, with Arctic climate warming, erosion of the studied coast will continue. |
format |
Text |
author |
Nataliya Belova Alexander Ermolov Anna Novikova Stanislav Ogorodov Yulia Stanilovskaya |
author_facet |
Nataliya Belova Alexander Ermolov Anna Novikova Stanislav Ogorodov Yulia Stanilovskaya |
author_sort |
Nataliya Belova |
title |
Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data |
title_short |
Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data |
title_full |
Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data |
title_fullStr |
Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data |
title_full_unstemmed |
Dynamics of Low-Lying Sandy Coast of the Gydan Peninsula, Kara Sea, Russia, Based on Multi-Temporal Remote Sensing Data |
title_sort |
dynamics of low-lying sandy coast of the gydan peninsula, kara sea, russia, based on multi-temporal remote sensing data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs15010048 |
op_coverage |
agris |
geographic |
Arctic Kara Sea |
geographic_facet |
Arctic Kara Sea |
genre |
Arctic Kara Sea |
genre_facet |
Arctic Kara Sea |
op_source |
Remote Sensing; Volume 15; Issue 1; Pages: 48 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs15010048 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15010048 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
1 |
container_start_page |
48 |
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1774714496999227392 |