Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic
ABSTRACTThe Arctic amplification (AA) has exacerbated permafrost degradation, posing a serious threat to infrastructure security and other areas. Therefore, it is crucial to accurately assess the current status and future changes of permafrost, and reliable soil thermal conductivity (STC) is an impo...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2023.2274417 |
| _version_ | 1797644599224696832 |
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| author | Wenhao Liu Ren Li Tonghua Wu Xiaoxi Shi Xiaodong Wu Lin Zhao Guojie Hu Jimin Yao Junjie Ma Shenning Wang Yao Xiao Xiaofan Zhu Jianzong Shi Dong Wang Yongping Qiao |
| author_facet | Wenhao Liu Ren Li Tonghua Wu Xiaoxi Shi Xiaodong Wu Lin Zhao Guojie Hu Jimin Yao Junjie Ma Shenning Wang Yao Xiao Xiaofan Zhu Jianzong Shi Dong Wang Yongping Qiao |
| author_sort | Wenhao Liu |
| collection | DOAJ |
| description | ABSTRACTThe Arctic amplification (AA) has exacerbated permafrost degradation, posing a serious threat to infrastructure security and other areas. Therefore, it is crucial to accurately assess the current status and future changes of permafrost, and reliable soil thermal conductivity (STC) is an important prerequisite for permafrost prediction. However, few methods and products are available for regional-scale STC simulations in permafrost of the Arctic, which lead to greater uncertainty in the simulation of land surface temperatures. This study conducted a preliminary STC simulation based on the XGBoost method. The results show that the average STC during the freezing period is between 0.71∼0.73 W·m−1K−1, and around 0.67 W·m−1K−1 during the thawing period; The variation of STC between the thawing and freezing period ranged from −0.34–0.23 W·m−1K−1, with an average value of −0.02 W·m−1K−1; The areas where STC of the thawing period is smaller than that of the freezing period are mainly concentrated in the marginal areas near the sea on the continental side of North America and in the typical areas of plains, lowlands, and plateaus on the continental side of Eurasia. The areas with large STC during the thawing period are concentrated in mountainous areas. |
| first_indexed | 2024-03-11T14:33:03Z |
| format | Article |
| id | doaj.art-26ccbd1df1aa4bcbabd980d792092690 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T14:33:03Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-26ccbd1df1aa4bcbabd980d7920926902023-10-31T07:07:38ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552023-12-011624512453210.1080/17538947.2023.2274417Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the ArcticWenhao Liu0Ren Li1Tonghua Wu2Xiaoxi Shi3Xiaodong Wu4Lin Zhao5Guojie Hu6Jimin Yao7Junjie Ma8Shenning Wang9Yao Xiao10Xiaofan Zhu11Jianzong Shi12Dong Wang13Yongping Qiao14Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaPetroChina Research Institute of Petroleum Exploration and Development-Northwest, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaCryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, People’s Republic of ChinaABSTRACTThe Arctic amplification (AA) has exacerbated permafrost degradation, posing a serious threat to infrastructure security and other areas. Therefore, it is crucial to accurately assess the current status and future changes of permafrost, and reliable soil thermal conductivity (STC) is an important prerequisite for permafrost prediction. However, few methods and products are available for regional-scale STC simulations in permafrost of the Arctic, which lead to greater uncertainty in the simulation of land surface temperatures. This study conducted a preliminary STC simulation based on the XGBoost method. The results show that the average STC during the freezing period is between 0.71∼0.73 W·m−1K−1, and around 0.67 W·m−1K−1 during the thawing period; The variation of STC between the thawing and freezing period ranged from −0.34–0.23 W·m−1K−1, with an average value of −0.02 W·m−1K−1; The areas where STC of the thawing period is smaller than that of the freezing period are mainly concentrated in the marginal areas near the sea on the continental side of North America and in the typical areas of plains, lowlands, and plateaus on the continental side of Eurasia. The areas with large STC during the thawing period are concentrated in mountainous areas.https://www.tandfonline.com/doi/10.1080/17538947.2023.2274417Permafrostsoil thermal conductivityArcticspatial patternmachine learning |
| spellingShingle | Wenhao Liu Ren Li Tonghua Wu Xiaoxi Shi Xiaodong Wu Lin Zhao Guojie Hu Jimin Yao Junjie Ma Shenning Wang Yao Xiao Xiaofan Zhu Jianzong Shi Dong Wang Yongping Qiao Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic International Journal of Digital Earth Permafrost soil thermal conductivity Arctic spatial pattern machine learning |
| title | Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic |
| title_full | Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic |
| title_fullStr | Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic |
| title_full_unstemmed | Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic |
| title_short | Preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the Arctic |
| title_sort | preliminary simulation of spatial distribution patterns of soil thermal conductivity in permafrost of the arctic |
| topic | Permafrost soil thermal conductivity Arctic spatial pattern machine learning |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2023.2274417 |
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