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博格达峰地区冰川和积雪变化遥感监测及影响因素分析
引用本文:周远刚,赵锐锋,张丽华,赵敏. 博格达峰地区冰川和积雪变化遥感监测及影响因素分析[J]. 干旱区地理, 2019, 42(6): 1395-1403. DOI: 10.12118/j.issn.1000-6060.2019.06.19
作者姓名:周远刚  赵锐锋  张丽华  赵敏
作者单位:西北师范大学地理与环境科学学院,甘肃兰州730070;甘肃省土地利用与综合整治工程研究中心,甘肃兰州730070
基金项目:国家自然科学基金项目(41761043,41261047);西北师范大学青年教师科研能力提升计划团队项目(NWNU-LKQN-17-7)
摘    要:20世纪以来,随着全球气候变暖加剧,冰川和积雪普遍退缩,严重影响到人类的生存和社会经济的可持续发展,这一问题在我国西北干旱区的博格达峰地区及其周边地区尤为突出。以博格达峰地区为例,利用1990—2016年Landsat5与Landsat 8遥感影像,对比分析归一化积雪指数(NDSI)、归一化冰雪指数(NDSII)、归一化主成分雪指数(NDPCSI)和缨帽转换湿度指数(WET)在博格达峰地区监测冰川和积雪的能力,同时结合研究区周边气温、降水数据和研究区地形数据,探讨博格达峰地区冰川和积雪面积变化与区域地形、气候间的响应关系。结果表明:(1) WET相对于NDSIINDSINDPCSI精度值更高,可以替代NDSINDSII监测博格达峰地区冰川和积雪面积。(2) 博格达峰地区冰川和积雪面积呈持续退缩的趋势。1990—2016年,冰川和积雪面积减少率约20.07%,且年退缩率不断增加。(3) 高程、坡度和坡向对冰川和积雪面积变化的影响较显著,山地阴影对其影响较弱,气温的升高是冰雪面积减少的主要因素。

关 键 词:Landsat  指数  冰川和积雪变化  博格达峰
收稿时间:2018-07-30

Remotesensing monitoring of the change of glacier and snow cover and its influencingfactors in Mount Bogda
ZHOU Yuan-gang,ZHAO Rui-feng,Zhang Li-hua,ZHAO Min. Remotesensing monitoring of the change of glacier and snow cover and its influencingfactors in Mount Bogda[J]. Arid Land Geography, 2019, 42(6): 1395-1403. DOI: 10.12118/j.issn.1000-6060.2019.06.19
Authors:ZHOU Yuan-gang  ZHAO Rui-feng  Zhang Li-hua  ZHAO Min
Affiliation:1College of Geography and Environment Science,Northwest NormalUniversity,Lanzhou 730070,Gansu,China; 2 Gansu EngineeringResearch Center of Land Utilization and Comprehension Consolidation,Lanzhou730070,Gansu,China
Abstract:Glaciersand snow cover are indicators of global warming and important water resourcesfor human survival and development in arid regions. Since 1900s,the glacier andsnow area has generally been shrinking as global warming intensifies, whichseriously affects people’s life, social andeconomic activities in the related areas. Particularly, in the surroundingareas of Mount Bogda which located in the arid area of northwest China, thiskind of effects is much more significant. By strengthening the monitoring thechange of glacier and snow cover, we can not only understand thecharacteristics and trends of glacier and snow change, but also reveal theresponse of glacier and snow to climate change, and thus to possibly predictfuture changes of glacier and snow. We chose Mount Bogda at Fukang County, Xinjiang,China as the research area and obtained remote sensing images of Landsat 5 andLandsat 8,DEM data and surrounding temperature and precipitation data from 1990to 2016.Firstly,we employed thesatellite images of Landsat 5 and Landsat 8 to calculate value of NormalizedDifference Snow Index (NDSI),NormalizedDifference Snow-Glacier Index (NDSII),Normalized Difference Principle Component Snow Index (NDPCSI) and Tasseled Cap Wetness transformation (WET) and to analyze the respectiveability to detect glacier and snow. Secondly, we used WET with high accuracy to obtain glacier and snow cover data in1990, 2000, 2010 and 2016 respectively and analyzed the changes of glacier andsnow cover. Finally, combining with the temperature data and the terrain dataof the study area, we explored the relationship between the change of snow andglacier area of Mount Bogda and the terrain and climate in this area. Theresults show as follows: (1) The WET index has a higher overall accuracy than the NDSI index, which can replace NDSI and NDSII to detect and monitor theglacier and snow area changes in Mount Bogda. (2) The area of snow and glaciercontinued to shrink in Mount Bogda. From 1990 to 2016, the snow and glacierarea was reduced by 20.07%, and the annual reduction rate continues toincrease. (3) The influence of temperature and slope on the change of snow andglacier area is strong, while the influence of mountain shadow and altitude isweak. And the rising temperatures is the main factor of the decreased area ofsnow and glacier. The research results could provide theoretical support anddecision reference for accurate extraction of glacier and snow coverinformation in Mount Bogda area and for the sustainable economy development inthe surrounding areas.
Keywords:   font-family:",Times New Roman",,serif,"  >Landsat,index, variations of glacier and snow, Mount Bogda ,
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