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DOI | 10.1016/j.scitotenv.2019.03.090 |
Hydro-thermal boundary conditions at different underlying surfaces in a permafrost region of the Qinghai-Tibet Plateau | |
Zhang, Mingyi![]() ![]() | |
发表日期 | 2019 |
ISSN | 0048-9697 |
EISSN | 1879-1026 |
起始页码 | 1190 |
结束页码 | 1203 |
卷号 | 670 |
英文摘要 | Hydro-thermal properties of permafrost and its distribution are sensitive to climate changes and human activities. Accurate and reasonable prediction on aforementioned information is important for eco-environment construction and vital infrastructures development. To model the current and future states of permafrost, it is a key challenge to effectively determine the upper hydro-thermal boundary conditions for permafrost models under changing climate and different underlying surfaces at proper spatial and temporal scales. An approach, combined regional climate downscaling method with model output statistics method, was developed to produce a time series of air temperature, surface temperatures, and surface unfrozen water contents for different underlying surfaces. It provided various climate and surface parameters at a spatial scale on the order of 10(2) m(2) for engineering designs, which was used to predict boundary conditions under possible climate scenarios. The predicted and simulated models were calibrated and validated by the monitored data at an experimental site in Chumar, China, close to the Qinghai-Tibet Railway and the Qinghai-Tibet Highway. Results show that the multiple linear regression model (MLRM) can predict the current states and future changes of upper hydro-thermal boundary conditions for permafrost while the original states of natural surface are modified by natural or human factors on the condition of complicated climatic and complex topography regions. The statistical regression model (SRM) based on the outputs of regional climate model (RCM) and MLRM provides a simple method for the convenience of numerical calculation. These results also indicate the possible applications to other areas and situations. (C) 2019 Elsevier B.V. All rights reserved. |
英文关键词 | Hydro-thermal boundary condition; Regional climate model; Multiple linear regression; Permafrost region; Qinghai-Tibet Plateau; WRF |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Sciences |
WOS关键词 | SOIL-MOISTURE ; NUMERICAL-MODEL ; THERMAL REGIME ; ACTIVE LAYER ; COLD REGION ; CLIMATE ; VALIDATION ; EMBANKMENT ; AIR ; TEMPERATURE |
WOS记录号 | WOS:000464681800118 |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/239453 |
作者单位 | [Zhang, Mingyi] Chinese Acad Sci, State Key Lab Frozen Soil Engn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Mingyi,Wang, Jiwei,Lai, Yuanming. Hydro-thermal boundary conditions at different underlying surfaces in a permafrost region of the Qinghai-Tibet Plateau[J],2019,670. |
APA | Zhang, Mingyi,Wang, Jiwei,&Lai, Yuanming.(2019).Hydro-thermal boundary conditions at different underlying surfaces in a permafrost region of the Qinghai-Tibet Plateau.SCIENCE OF THE TOTAL ENVIRONMENT,670. |
MLA | Zhang, Mingyi,et al."Hydro-thermal boundary conditions at different underlying surfaces in a permafrost region of the Qinghai-Tibet Plateau".SCIENCE OF THE TOTAL ENVIRONMENT 670(2019). |
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