Issue |
E3S Web Conf.
Volume 441, 2023
2023 International Conference on Clean Energy and Low Carbon Technologies (CELCT 2023)
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|
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Article Number | 01012 | |
Number of page(s) | 6 | |
Section | Clean Energy Utilization and Energy Storage Technology | |
DOI | https://doi.org/10.1051/e3sconf/202344101012 | |
Published online | 07 November 2023 |
Analysis of Sea Ice Area Variation in the Arctic Ocean
1 School of Communication Engineering, Hanzhou Dianzi University, No.1158, Ave.2, Xiasha Higher Education Park District, Hangzhou, Zhejiang Province, China
2 School of Computer Science, Hanzhou Dianzi University, No.215, Ave.6, Qiantang District, Hangzhou, Zhejiang Province, China
* Corresponding author: 1048319067@qq.com
Against the backdrop of global warming, the changing area of Arctic sea ice is constantly shrinking, and the fluctuation of the Arctic sea ice area is the outcome of multiple factors. This paper mainly studies the volatility, periodicity, trend and related climate factors of Arctic sea ice area variation. It is found that the period of Arctic sea ice area variation T is equal to 3.468 years by establishing a sea ice area change model, and there is a strong negative correlation between the time series of the deseasonalized temperature and the sea ice area through the correlation analysis, with a Pearson coefficient of -0.711. In addition, the Bruun rule leads to the conclusion that for every 1cm increase in sea level, the coastline will retreat by 0.5- 1m, which indirectly indicates that without considering other conditions, the continental area will decrease as the sea ice area decreases. Finally, the conclusion obtained is that the CO2 level has the highest correlation degree by establishing a grey correlation degree model for each factor. Based on this, various measures are proposed to find solutions to the relevant factors and change existing policies to minimize the harm of the warming climate.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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