全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

青藏高原积雪深度时空分布与地形的关系

DOI: 10.6046/gtzyyg.2015.04.26, PP. 171-178

Keywords: 青藏高原,被动微波遥感,Mann-Kendall检验,地形因子

Full-Text   Cite this paper   Add to My Lib

Abstract:

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82~2482m和6082~7682m受坡度和坡向影响较高程2482~6082m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82~3282m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。

References

[1]  徐兴奎.1970—2000年中国降雪量变化和区域性分布特征[J].冰川冻土, 2011, 33(3):497-503. Xu X K.Spatiotemporal variation and regional distribution characteristics of snowfall in China from 1970 to 2000[J].Journal of Glaciology and Geocryology, 2011, 33(3):497-503.
[2]  纪鹏, 郭华东, 张露.近20年西昆仑地区冰川动态变化遥感研究[J].国土资源遥感, 2013, 25(1):93-98. Ji P, Guo H D, Zhang L.Remote sensing study of glacier dynamic change in West Kunlun Mountains in the past 20 years[J].Remote Sensing for Land and Resources, 2013, 25(1):93-98.doi:10.6046/gtzyyg.2013.01.17.
[3]  车涛, 李新, 高峰.青藏高原积雪深度和雪水当量的被动微波遥感反演[J].冰川冻土, 2004, 26(3):363-368. Che T, Li X, Gao F.Estimation of snow water equivalent in the Tibetan Plateau using passive microwave remote sensing data(SSM/I)[J].Journal of Glaciology and Geocryology, 2004, 26(3):363- 368.
[4]  张佳华, 吴杨, 姚凤梅.卫星遥感藏北积雪分布及影响因子分析[J].地球物理学报, 2008, 51(4):1013-1021. Zhang J H, Wu Y, Yao F M.Study on the snow distribution and influencing factors in Northern Tibet based on remote sensing information[J].Chinese Journal of Geophysics, 2008, 51(4):1013-1021.
[5]  Che T, Li X, Jin R, et al.Snow depth derived from passive microwave remote-sensing data in China[J].Annals of Glaciology, 2008, 49(1):145-154.
[6]  柏延臣, 冯学智, 李新, 等.基于被动微波遥感的青藏高原雪深反演及其结果评价[J].遥感学报, 2001, 5(3):161-165. Bo Y C, Feng X Z, Li X, et al.The retrieval of snow depth in Qinghai_Xizang(Tibet) Plateau from passive microwave remote sensing data and its results assessment[J].Journal of Remote Sensing, 2001, 5(3):161-165.
[7]  车涛, 李新.利用被动微波遥感数据反演我国积雪深度及其精度评价[J].遥感技术与应用, 2004, 19(5):301-306. Che T, Li X.Retrieval of snow depth in China by passive microwave remote sensing data and its accuracy assessment[J].Remote Sensing Technology and Application, 2004, 19(5):301-306.
[8]  车涛.积雪被动微波遥感反演与积雪数据同化方法研究[D].兰州:中国科学院寒区旱区环境与工程研究所, 2006. Che T.Study on Passive Microwave Remote Sensing of Snow and Snow Data Assimilation Method[D].Lanzhou:Cold and Arid Regions Environmental and Engineering Research Institute, 2006.
[9]  白淑英, 史建桥, 沈渭寿, 等.近30年西藏雪深时空变化及其对气候变化的响应[J].国土资源遥感, 2014, 26(1):144-151. Bai S Y, Shi J Q, Shen W S, et al.Spatial-temporal variation of snow depth in Tibet and its response to climatic change in the past 30 years[J].Remote Sensing for Land and Resources, 2014, 26(1):144-151.doi:10.6046/gtzyyg.2014.01.25.
[10]  韦志刚, 黄荣辉, 陈文.青藏高原冬春积雪年际振荡成因分析[J].冰川冻土, 2005, 27(4):491-497. Wei Z G, Huang R H, Chen W.The causes of the interannual variation of snow cover over the Tibetan Plateau[J].Journal of Glaciology and Geocryology, 2005, 27(4):491-497.
[11]  杨倩, 陈圣波, 路鹏, 等.2000—2010年吉林省积雪时空变化特征及其与气候的关系[J].遥感技术与应用, 2012, 27(3):413-419. Yang Q, Chen S B, Lu P, et al.Spatio-temporal variation of snow cover in Jilin province and its relationships to climate change in recent 10 years[J].Remote Sensing Technology and Application, 2012, 27(3):413-419.
[12]  孙鸿烈.不断攀登探索世界屋脊奥秘[J].中国西藏, 1998(6):46-48. Sun H L.Climbing up and exploring mysteries concerning the roof of world[J].China's Tibet, 1998(6):46-48.
[13]  魏凤英.现代气候统计诊断与预测技术[M].北京:气象出版社, 2007. Wei F Y.Modern Climatic Statistical Diagnosis and Prediction Technology[M].Beijing:Meteorological Press, 2007.
[14]  徐宗学, 米艳娇, 李占玲, 等.和田河流域气温与降水量长期变化趋势及其持续性分析[J].资源科学, 2008, 30(12):1833-1838. Xu Z X, Mi Y J, Li Z L, et al.Long-term trends and sustainability analysis of air temperature and prediction in the Hotan river basin[J].Resources Science, 2008, 30(12):1833-1838.
[15]  白淑英, 史建桥, 相栋, 等.近50年青海降水时空格局变化[J].干旱区资源与环境, 2013, 27(6):148-153. Bai S Y, Shi J Q, Xiang D, et al.Spatiotemporal pattern change of precipitation in Qinghai in the last 50 years[J].Journal of Arid Land Resources and Environment, 2013, 27(6):148-153.
[16]  康淑媛, 张勃, 柳景峰, 等.基于Mann-Kendall法的张掖市降水量时空分布规律分析[J].资源科学, 2009, 31(3):501-508. Kang S Y, Zhang B, Liu J F, et al.Analysis of the spatiotemporal distribution of precipitation in Zhangye City using Mann-Kendall method[J].Resources Science, 2009, 31(3):501-508.
[17]  王叶堂, 何勇, 侯书贵.2000—2005年青藏高原积雪时空变化分析[J].冰川冻土, 2007, 29(6):855-861. Wang Y T, He Y, Hou S G.Analysis of the temporal and spatial variations of snow cover over the Tibetan Plateau based on MODIS[J].Journal of Glaciology and Geocryology, 2007, 29(6):855-861.

Full-Text

Contact Us

[email protected]

QQ:3279437679

WhatsApp +8615387084133