| 基于地理探测器的青藏高原多年冻土分布影响因子分析 |
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| 引用本文： | 肖瑶,赵林,邹德富,刘世博,马露,应雪,刘艺阗.基于地理探测器的青藏高原多年冻土分布影响因子分析[J].冰川冻土,2021,43(1):311-321. |
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| 作者姓名： | 肖瑶 赵林 邹德富 刘世博 马露 应雪 刘艺阗 |
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| 作者单位： | 1.中国科学院 西北生态环境资源研究院 冰冻圈科学国家重点实验室 藏北高原冰冻圈特殊环境与灾害国家 野外科学观测研究站，甘肃 兰州 730000;2.中国科学院大学，北京 100049 |
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| 基金项目： | 南京信息工程大学人才启动经费项目(2018r075);国家自然科学基金项目(41701073) |
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| 摘 要： | 多年冻土的分布会受到局地地质、地形地貌和地表覆被等因素的影响。为探究各因子对多年冻土分布的影响强弱，选择青藏高原五个典型多年冻土区为研究区，基于MODIS和SRTM DEM数据提取研究区内2003—2012年平均地表温度、NDVI、地表反照率、积雪日数和坡度、坡向等因子，并采用地理探测器模型研究了各因子对研究区多年冻土分布的影响程度及差异。结果表明：在所有研究区内，地表温度是影响多年冻土分布最强的因子，其次为积雪日数。随着空间尺度范围的增大，坡度和坡向对多年冻土分布的影响逐渐减弱，地表温度的影响则逐渐增强。交互探测结果显示两个因子交互作用对多年冻土分布的影响程度都要大于单因子作用下的影响程度。本研究明确了青藏高原多年冻土分布的区域差异规律，为不同尺度多年冻土分布制图提供理论基础。
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| 关 键 词： | 青藏高原 多年冻土分布 地理探测器 q值 影响因子 |
| 收稿时间： | 2019-04-24 |
| 修稿时间： | 2019-09-15 |
Analyses of the influence factors of permafrost distribution on the Qinghai-Tibet Plateau based on geographical detector |
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| XIAO Yao,ZHAO Lin,ZOU Defu,LIU Shibo,MA Lu,YING Xue,LIU Yitian.Analyses of the influence factors of permafrost distribution on the Qinghai-Tibet Plateau based on geographical detector[J].Journal of Glaciology and Geocryology,2021,43(1):311-321. |
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| Authors: | XIAO Yao ZHAO Lin ZOU Defu LIU Shibo MA Lu YING Xue LIU Yitian |
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| Institution: | 1.Cryosphere Research Station on the Qinghai-Tibet Plateau，State Key Laboratory of Cryosphereic Science，Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China;2.University of Chinese Academy of Sciences，Beijing 100049，China |
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| Abstract: | The distribution of permafrost is affected by local geology， landform and surface cover. In order to explore various factors which have different strength of influence on the permafrost distribution， this paper chooses five typical permafrost regions of the Qinghai-Tibet Plateau as the research area. This study is based on MODIS and SRTM DEM data extraction research of 2003 to 2012， and then， factors in them like： the average land surface temperature， NDVI， surface albedo， number of snow days， slope and aspect of the research area are studied. The geo-detector model is used to study the degree of influence and the difference of each factor on the distribution of permafrost in the research area. The results show that： （1） In all the study areas， the land surface temperature is the strongest factor affecting the distribution of permafrost， followed by the number of snow days. （2） With the increase of spatial scale range， the influence of slope and aspect on the distribution of permafrost is gradually weakened， while that of surface temperature gradually strengthened. （3） The result of interactive detection shows that the interaction of the two factors has a greater impact on the distribution of permafrost than the single one. This study clarifies the law of regional difference of permafrost distribution on the Qinghai-Tibet Plateau and provides a theoretical basis for mapping permafrost distribution at different scales. |
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| Keywords: | Qinghai-Tibet Plateau distribution of permafrost geographical detector q value influence factor |
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