Abstract
Rapid coastal erosion threatens Arctic coastal infrastructure, including communities and industrial installations. Erosion of permafrost depends on numerous processes, including thermal and mechanical behaviour of frozen and unfrozen soil, nearshore hydrodynamics, atmospheric forcing, and the presence of sea ice. The quantification and numerical modelling of these processes is essential to predicting Arctic coastal erosion. This paper presents a case study of Baydaratskaya Bay, Russia, using the COSMOS numerical model to predict thermal-mechanical erosion. In particular, this study focuses on thermoabrasional rather than thermodenudational processes. A field dataset of onshore thermal and mechanical soil characteristics was supplemented by sources from the literature to serve as input for the model. A detailed sensitivity analysis has been conducted to determine the influence of key parameters on coastal erosion rates at the study site. This case study highlights the need for expanded data collection on Arctic coastlines and provides direction for future investigations.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Scour and Erosion 2016 |
Subtitle of host publication | 12-16 September 2016, Oxford, United Kingdom |
Pages | 1-10 |
Number of pages | 10 |
Publication status | Published - 13 Sep 2016 |
Externally published | Yes |
Event | International Conference on Scour and Erosion 2016 - University of Oxford, Oxford, United Kingdom Duration: 12 Sep 2016 → 16 Sep 2016 |
Conference
Conference | International Conference on Scour and Erosion 2016 |
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Abbreviated title | ICSE2016 |
Country/Territory | United Kingdom |
City | Oxford |
Period | 12/09/16 → 16/09/16 |