Physical modelling of arctic coastlines-progress and limitations

Download statistics - Document (COUNTER):

Korte, S.; Gieschen, R.; Stolle, J.; Goseberg, N.: Physical modelling of arctic coastlines-progress and limitations. In: Water 12 (2020), Nr. 8, 2254. DOI: https://doi.org/10.3390/w12082254

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10784

Selected time period:

year: 
month: 

Sum total of downloads: 87




Thumbnail
Abstract: 
Permafrost coastlines represent a large portion of the world's coastal area and these areas have become increasingly vulnerable in the face of climate change. The predominant mechanism of coastal erosion in these areas has been identified through several observational studies as thermomechanical erosion-a joint removal of sediment through the melting of interstitial ice (thermal energy) and abrasion from incoming waves (mechanical energy). However, further developments are needed looking how common design parameters in coastal engineering (such as wave height, period, sediment size, etc.) contribute to the process. This paper presents the current state of the art with the objective of establishing the necessary research background to develop a process-based approach to predicting permafrost erosion. To that end, an overarching framework is presented that includes all major, erosion-relevant processes, while delineating means to accomplish permafrost modelling in experimental studies. Preliminary modelling of generations zero and one models, within this novel framework, was also performed to allow for early conclusions as to how well permafrost erosion can currently be modelled without more sophisticated setups. © 2020 by the authors.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Forschungszentren

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 42 48.28%
2 image of flag of United States United States 18 20.69%
3 image of flag of China China 7 8.05%
4 image of flag of No geo information available No geo information available 4 4.60%
5 image of flag of India India 3 3.45%
6 image of flag of United Kingdom United Kingdom 3 3.45%
7 image of flag of New Zealand New Zealand 2 2.30%
8 image of flag of Ireland Ireland 2 2.30%
9 image of flag of Russian Federation Russian Federation 1 1.15%
10 image of flag of Japan Japan 1 1.15%
    other countries 4 4.60%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse