| 黄河源区多年冻土热传导系数影响因素分析及其在活动层厚度模拟中的应用 |
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| 引用本文： | 洪涛,梁四海,孙禹,赵珍伟,郝玉培,王旭升,万力.黄河源区多年冻土热传导系数影响因素分析及其在活动层厚度模拟中的应用[J].冰川冻土,2013,35(4):824-833. |
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| 作者姓名： | 洪涛 梁四海 孙禹 赵珍伟 郝玉培 王旭升 万力 |
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| 作者单位： | 1. 中国地质科学院 岩溶地质研究所, 广西 桂林 541004;2. 中国地质大学(北京) 水资源与环境学院, 北京 100083 |
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| 基金项目： | 国家自然科学基金项目(41072191);中国地质大学(北京)基本科研业务专项资金资助 |
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| 摘 要： | 多年冻土区融化层的热传导系数的大小决定了全球气候变化条件下, 多年冻土的响应强弱以及对周围环境的影响.在野外实测与实验室分析的基础上, 研究了黄河源区3种典型岩土的干容重、含水率和温度对导热系数的影响,通过建立起回归方程, 运用Stephen公式近似计算了2002年源区最大冻结和融化深度的分布.结果表明: 黄河源区三种典型岩土的导热系数从小到大依次为腐殖土、碎石亚黏土、细沙;干容重和含水率与导热系数具有较好的正相关关系, 是影响导热系数的主要因素, 在较小的温度变化范围内, 温度对导热系数的影响不明显. 基于实测的导热系数分布模拟得到的最大融化深度在地势较低的黄河干流及"两湖"地区要大于南北高山区, 最大冻结深度的变化规律则相反, 除北部小部分地区最大冻结深度大于最大融化深度外, 源区绝大部分地区活动层处于增厚状态.结果将有助于多年冻土的变化及环境效应的研究.
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| 关 键 词： | 热传导系数 多年冻土 数值模拟 黄河 |
| 收稿时间： | 2012-12-16 |
| 修稿时间： | 2013-02-08 |
Analyzing the Factors that Impact on the Heat Conductivity Coefficient and Applying Them to Simulate the Depth of Permafrost Active Layer in the Headwaters of the Yellow River |
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| HONG Tao,LIANG Si-hai,SUN Yu,ZHAO Zhen-wei,HAO Yu-pei,WANG Xu-sheng,WAN Li.Analyzing the Factors that Impact on the Heat Conductivity Coefficient and Applying Them to Simulate the Depth of Permafrost Active Layer in the Headwaters of the Yellow River[J].Journal of Glaciology and Geocryology,2013,35(4):824-833. |
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| Authors: | HONG Tao LIANG Si-hai SUN Yu ZHAO Zhen-wei HAO Yu-pei WANG Xu-sheng WAN Li |
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| Institution: | 1. Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin Guangxi 541004, China;2. School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China |
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| Abstract: | Analyzing the heat conductivity coefficient within the active layer in permafrost is of scientific value for understanding the permafrost response to global climate change and their impact on environment. Dry bulk density, water content and temperature were related to heat conductivity coefficient of three typical soils in the headwaters of the Yellow River and found that dry bulk density and water content are the major factors controlling the heat conductivity coefficient but the relation between temperature and heat conductivity coefficient is not obvious. Employing Stephen function and GIS software, based on the measured heat conductivity coefficients, the maximum thawed depths and maximum frozen depths in 2002 were simulated. The Simulation shows that the maximum thawed depth at the low altitude, such as the Yellow River and Gyaring and Ngoring Lakes, is greater than that at the high altitude, such as the Buqingshan Mountain and Bayan Har Mountains. On the contrary, the maximum frozen depth at the low altitude is less than that at the high altitude. Comparing the maximum thawed depth and the maximum frozen depth, it is found that most permafrost is undergoing degradation, except for a small part in the north. The findings of this study may have a broad implication for assessing the variation of permafrost and ecological environment due to climate change. |
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| Keywords: | heat conductivity coefficient permafrost numerical simulation Yellow River |
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