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国土资源遥感  2015, Vol. 27 Issue (4): 171-178    DOI: 10.6046/gtzyyg.2015.04.26
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
青藏高原积雪深度时空分布与地形的关系
白淑英1,2, 吴奇1, 史建桥3, 顾海敏4
1. 南京信息工程大学遥感学院, 南京 210044;
2. 环境保护部南京环境科学研究所, 南京 210042;
3. 94783部队61分队, 长兴 313111;
4. 涪陵区气象局, 涪陵 408000
Relationship between the spatial and temporal distribution of snow depth and the terrain over the Tibetan Plateau
BAI Shuying1,2, WU Qi1, SHI Jianqiao3, GU Haimin4
1. College of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China;
2. Nanjing Institute of Environmental Science, Ministry of Environmental Protection, Nanjing 210042, China;
3. Unit 61, No.94783 Troop of PLA, Changxing 313111, China;
4. Meteorological Bureau of Fuling District, Fuling 408000, China
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摘要 利用1979—2010年逐日中国雪深长时间序列数据集,采用GIS空间分析和Mann-Kendall检验等方法,分析了青藏高原雪深时空分布及其与地形的关系。结果表明: 青藏高原雪深分布受地形影响明显,在5—9月平均雪深主要受到高程影响,在其他月份则受气温和高程共同影响; 同一高程带雪深的变幅反映坡度和坡向对雪深的影响,变幅越宽坡向影响越大; 最大雪深随高程和坡度的增加而增加,空间变异随高程的增加而下降,随坡度的增加而呈上升趋势; 从10月至翌年5月,平均雪深在高程82~2 482 m和6 082~7 682 m受坡度和坡向影响较高程2 482~6 082 m要偏大; 回归分析表明,高原雪深分布受到高程和坡度的双重影响,高程是雪深分布的主要影响因子,在高程82~3 282 m区间,坡度的空间差异对平均雪深空间变异的影响具有明显正效应。
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关键词 工作流地形因子XML模型描述模型提取    
Abstract:Using the daily dataset of snow depth from 1979 to 2010, the authors analyzed the relationship between the spatial and temporal distribution of snow depth and the terrain factors over the Tibetan Plateau by means of Mann-Kendall test and GIS space analysis. According to the results achieved, the distribution of snow depth was significantly affected by topography, the average snow depth was affected mainly by elevation from May to September, whereas in other months it was under the common influence of temperature and elevation. The snow depth amplitude of the same segment elevation reflected the impact of the aspect on snow depth, and the influence was greater when the amplitude was wider. The maximum snow depth kept increasing with the increment of elevation and slope, while the spatial heterogeneity decreased with the increment of elevation but increased with the decrement of slope. From October to May of the next year, the average snow depth at the elevation from 82 to 2 482 meter and 6 082 to 7 682 meter was more affected by slope and aspect than that at the elevation from 2 482 to 6 082 meter. Multiple regression analysis showed that the distribution of snow depth over the Tibetan Plateau was influenced by elevation and slope; furthermore, spatial differences of slope at the elevation of 82~3 282 meter had significant positive effect on the spatial variability of average snow depth; nevertheless, elevation was the main limiting factor of the average snow depth.
Key wordsworkflow    terrain factor    XML model description    model extraction
收稿日期: 2014-06-12      出版日期: 2015-07-23
:  TP79  
基金资助:国家环保公益性行业科研专项项目"我国国土生态安全格局构建关键技术和保护战略研究"(编号: 201209027)资助。
作者简介: 白淑英(1973-),女,博士,副教授,研究方向为遥感与GIS在资源环境中的应用。Email: baishu-ying@163.com。
引用本文:   
白淑英, 吴奇, 史建桥, 顾海敏. 青藏高原积雪深度时空分布与地形的关系[J]. 国土资源遥感, 2015, 27(4): 171-178.
BAI Shuying, WU Qi, SHI Jianqiao, GU Haimin. Relationship between the spatial and temporal distribution of snow depth and the terrain over the Tibetan Plateau. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 171-178.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2015.04.26      或      https://www.gtzyyg.com/CN/Y2015/V27/I4/171
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