Добірка наукової літератури з теми "Permafrost – Thermal conductivity"
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Статті в журналах з теми "Permafrost – Thermal conductivity"
Yang, Shuhua, Ren Li, Lin Zhao, Tonghua Wu, Xiaodong Wu, Yuxin Zhang, Jianzong Shi, and Yongping Qiao. "Evaluation of the Performance of CLM5.0 in Soil Hydrothermal Dynamics in Permafrost Regions on the Qinghai–Tibet Plateau." Remote Sensing 14, no. 24 (December 8, 2022): 6228. http://dx.doi.org/10.3390/rs14246228.
Повний текст джерелаPan, Xicai, Yanping Li, Qihao Yu, Xiaogang Shi, Daqing Yang, and Kurt Roth. "Effects of stratified active layers on high-altitude permafrost warming: a case study on the Qinghai–Tibet Plateau." Cryosphere 10, no. 4 (July 25, 2016): 1591–603. http://dx.doi.org/10.5194/tc-10-1591-2016.
Повний текст джерелаYi, S., J. Chen, Q. Wu, and Y. Ding. "Simulating the role of gravel on the dynamics of permafrost on the Qinghai-Tibetan Plateau." Cryosphere Discussions 7, no. 5 (September 24, 2013): 4703–40. http://dx.doi.org/10.5194/tcd-7-4703-2013.
Повний текст джерелаBarrere, Mathieu, Florent Domine, Bertrand Decharme, Samuel Morin, Vincent Vionnet, and Matthieu Lafaysse. "Evaluating the performance of coupled snow–soil models in SURFEXv8 to simulate the permafrost thermal regime at a high Arctic site." Geoscientific Model Development 10, no. 9 (September 21, 2017): 3461–79. http://dx.doi.org/10.5194/gmd-10-3461-2017.
Повний текст джерелаWestermann, S., T. V. Schuler, K. Gisnås, and B. Etzelmüller. "Transient thermal modeling of permafrost conditions in Southern Norway." Cryosphere Discussions 6, no. 6 (December 20, 2012): 5345–403. http://dx.doi.org/10.5194/tcd-6-5345-2012.
Повний текст джерелаWestermann, S., T. V. Schuler, K. Gisnås, and B. Etzelmüller. "Transient thermal modeling of permafrost conditions in Southern Norway." Cryosphere 7, no. 2 (April 25, 2013): 719–39. http://dx.doi.org/10.5194/tc-7-719-2013.
Повний текст джерелаHe, Ruixia, Ning Jia, Huijun Jin, Hongbo Wang, and Xinyu Li. "Experimental Study on Thermal Conductivity of Organic-Rich Soils under Thawed and Frozen States." Geofluids 2021 (September 23, 2021): 1–12. http://dx.doi.org/10.1155/2021/7566669.
Повний текст джерелаCui, Fu-Qing, Zhi-Yun Liu, Jian-Bing Chen, Yuan-Hong Dong, Long Jin, and Hui Peng. "Experimental Test and Prediction Model of Soil Thermal Conductivity in Permafrost Regions." Applied Sciences 10, no. 7 (April 3, 2020): 2476. http://dx.doi.org/10.3390/app10072476.
Повний текст джерелаGoodrich, L. E. "Field measurements of soil thermal conductivity." Canadian Geotechnical Journal 23, no. 1 (February 1, 1986): 51–59. http://dx.doi.org/10.1139/t86-006.
Повний текст джерелаDOMINE, FLORENT, MARIA BELKE-BREA, DENIS SARRAZIN, LAURENT ARNAUD, MATHIEU BARRERE, and MATHILDE POIRIER. "Soil moisture, wind speed and depth hoar formation in the Arctic snowpack." Journal of Glaciology 64, no. 248 (November 28, 2018): 990–1002. http://dx.doi.org/10.1017/jog.2018.89.
Повний текст джерелаДисертації з теми "Permafrost – Thermal conductivity"
Barrere, Mathieu. "Evolution couplée de la neige, du pergélisol et de la végétation arctique et subarctique." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAU008/document.
Повний текст джерелаPermafrost is a major component of the Earth climatic system. Global warming provokes the degradation of permafrost which favors biogeochemical activity in Arctic soils. The decomposition of organic matter increases and results in the release of high amounts of greenhouse gases (CO2 and CH4) to the atmosphere. By amplifying the greenhouse effect induced by human activities, this phenomenon may constitute one of the strongest positive feedbacks on global warming. Predicting these effects requires to study the evolution of the permafrost thermal regime and the factors governing it. The snowpack, because of its insulating effect, modulates the heat fluxes between permafrost and atmosphere most of the year. The snow insulating capacity depends on snow height and thermal conductivity. These two variables are highly dependent on climatic conditions and on the presence of vegetation. Here we monitor the snow and soil physical properties at a high Arctic site typical of herbaceous tundra (Bylot Island, 73°N), and at a low Arctic site situated at the limit between shrub and forest tundra (Umiujaq, 56°N). We use data from automatic measurement stations and manual measurements. A special attention is given to the snow thermal conductivity because very few data are available for Arctic regions. Results are interpreted in relation to vegetation type and atmospheric conditions. The numerical coupled model ISBA-Crocus is then used to simulate snow and soil properties at our sites. Results are compared to field data in order to evaluate the model capacity to accurately simulate the permafrost thermal regime.We managed to describe atmosphere-snow-vegetation interactions that shape the structure of Arctic snowpacks. Wind and the snow redistribution it induces are fundamental parameters governing snow height and thermal conductivity. A high vegetation cover (i.e. shrubs and forest) traps blowing snow and shields it from wind compaction. Vegetation growth thus favors the formation of an insulating snowpack which slows down or even prevents soil freezing. Furthermore, the shrubs woody structure supports the snow mass and prevents the resulting compaction of bottom snow layers. Thus sheltered, snow in shrubs develops a high insulating capacity which delays soil freezing. Continued atmospheric cooling increases the thermal gradient in the snow, maintaining large water vapor transfers from the soil and the snow basal layers to upper layers and atmosphere. The growth of depth hoar, enhanced by the large thermal gradient and the low snow density, results in the formation of highly insulating snow layers thus constituting a positive feedback loop between soil temperature and snow insulation. As long as the soil stays relatively warm, depth hoar growth persists. Finally, if warm spells occur in autumn, they can trigger the partial melting of the early snowpack which can cancel or temporarily reverse the insulating effect of snow-vegetation interactions. A frozen snow surface prevents snow drifting and its redistribution. The presence of highly conductive refrozen layers facilitates soil cooling and reduces the thermal gradient. An early snowpack affected by melting is thus less insulative which could hamper Arctic soil warming. Simulation results show that these different effects are not correctly represented in snow models. Errors in the estimated snow thermal conductivities are particularly problematic as they highly affect the simulation of soil freezing. Given the area of permafrost-affected regions, these errors on Arctic snow modelling could significantly impact climate simulations and the global warming projections
Частини книг з теми "Permafrost – Thermal conductivity"
Hinzman, Larry D., and Kevin C. Petrone. "Watershed Hydrology and Chemistry in the Alaskan Boreal Forest: The Central Role of Permafrost." In Alaska's Changing Boreal Forest. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195154313.003.0023.
Повний текст джерелаI., Rev. "Analytical Methods for Estimating Thermal Conductivity of Multi-Component Natural Systems in Permafrost Areas." In Convection and Conduction Heat Transfer. InTech, 2011. http://dx.doi.org/10.5772/22676.
Повний текст джерелаТези доповідей конференцій з теми "Permafrost – Thermal conductivity"
Xu, Jianfeng, Ayman Eltaher, and Paul Jukes. "Warm Pipeline in Permafrost: A Sensitivity Study of the Major Thermal Properties." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20495.
Повний текст джерелаJiang, Jinxu, Hong Zhang, Jianping Liu, Pengchao Chen, and Xiaoben Liu. "Stress Analysis of Buried Pipelines Under Thaw Settlement of Permafrost Zone Based on Moisture-Heat-Stress Coupled Analysis." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9546.
Повний текст джерелаZhao, Ermeng, Jian Hou, Yunkai Ji, Lu Liu, Yongge Liu, and Yajie Bai. "The Key Factors of Low-Frequency Electric Heating Assisted Depressurization Method in the Exploiting of Methane Hydrate Sediments." In SPE Europec featured at 82nd EAGE Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205119-ms.
Повний текст джерелаLong, Xiaoyan, Komin Tjok, and Sudarshan Adhikari. "Numerical Investigation on Gas Hydrate Production by Depressurization in Hydrate-Bearing Reservoir." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-55067.
Повний текст джерела