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Simulation of decadal alpine permafrost distributions in the Qilian Mountains over past 50 years by using Logistic Regression Model

机译:用逻辑回归模型模拟祁连山近十年来的年代际高山多年冻土分布

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摘要

Based on a bench-mark distribution map of alpine permafrost, topographic factors and meteorological factors in every decade, the decadal distributions of alpine permafrost from 1960 to 2009 in the Qilian Mountains were simulated by using Logistic Regression Model (LM), and the overall accuracy of the simulation results was estimated to above 80%. Moreover, the changing conditions of alpine permafrost in the Qilian Mountains during each adjoining two decades, as well as over the past 50 years, had also been analyzed. The research results show: (1) LM simulation in this research not only decreases the dependency on the field survey data, but achieves dynamic simulation of alpine permafrost distribution; (2) the simulated areas of alpine permafrost in 1960s, 1970s, 1980s, 1990s and 2000s are 10.7×10~4km~2, 9.8×10~4km~2, 10.0×10~4km~2, 8.5 × 10~4 km~2 and 8.7 × 10~4 km~2 respectively. Hence, the distribution of alpine permafrost presents an overall degraded tendency with two slight fluctuations.
机译:利用每十年的高山多年冻土基准分布图,地形因子和气象因子,利用Logistic回归模型对祁连山1960年至2009年的多年冻土年代际分布进行了模拟,总体准确性较高。仿真结果的80%以上。此外,还分析了祁连山的高寒多年冻土在每一个相邻的二十年以及近五十年来的变化情况。研究结果表明:(1)LM模拟不仅减少了对野外实测数据的依赖,而且实现了高寒多年冻土分布的动态模拟。 (2)1960s,1970s,1980s,1990s和2000s的高山多年冻土模拟面积分别为10.7×10〜4km〜2、9.8×10〜4km〜2、10.0×10〜4km〜2、8.5×10〜4 km 〜2和8.7×10〜4 km〜2。因此,高山多年冻土的分布呈现出总体退化的趋势,只有两个轻微的波动。

著录项

  • 来源
    《Cold regions science and technology》 |2012年第4期|32-40|共9页
  • 作者单位

    Xinjiang Institute of Ecology and Geography CAS, Urumqi 830011, China,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research CAS, Beijing 100101, China,Graduate University of Chinese Academy of Sciences, Beijing 100049, China;

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research CAS, Beijing 100101, China;

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research CAS, Beijing 100101, China;

    Xinjiang Institute of Ecology and Geography CAS, Urumqi 830011, China;

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research CAS, Beijing 100101, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Alpine permafrost simulation; Logistic regression model; Qilian Mountains; Topographic factors; Meteorological factors;

    机译:高山多年冻土模拟Logistic回归模型;祁连山;地形因素;气象因素;

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