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Spatiotemporal Characteristics of Freeze-Thawing Erosion in the Source Regions of the Chin-Sha, Ya-Lung and Lantsang Rivers on the Basis of GIS

文献类型：期刊论文

作者Lu, Yuefeng2,4; Liu, Cong2; Ge, Yong4; Hu, Yulong1; Wen, Qiao2; Fu, Zhongliang3; Wang, Shaobo2; Liu, Yong1
刊名REMOTE SENSING
出版日期2021
卷号13期号:2页码:18
关键词spatiotemporal characteristics freeze-thawing erosion source regions AHP GIS
DOI10.3390/rs13020309
通讯作者Ge, Yong(gey@lreis.ac.cn)
英文摘要Freeze-thawing erosion is mainly distributed in the tundra, which is one of the main factors affecting soil erosion and soil conservation and affects the economic development of relevant countries and regions. The study area was selected to the north of Tanggula Mountain and the south of Bayankera Mountain, to the east of The Qinghai-Tibet Plateau, as the headwaters of the Yangtze River and lancang River. The topography and climate were particularly prone to soil freeze-thawing erosion, and the ecological damage would seriously affect the production and life of people in the whole downstream area. Therefore, based on the analytic hierarchy process (AHP), this paper selects seven evaluation factors to analyze the temporal and spatial characteristics of freeze-thaw erosion in the study area and establishes a comprehensive weight evaluation model for freeze-thaw erosion. The results show that: (1) the evaluation model is effective, and the soil freeze-thawing erosion is strong in the whole research area; (2) the total area of the research area and the freeze-thawing erosion area are 418,843 km(2) and 375,514 km(2) respectively, the freeze-thawing erosion area accounting for 89.7% of the total research area, and the freeze-thawing erosion intensity ranged from 0.165 to 0.737; (3) the spatial distribution differs significantly, the freeze-thawing erosion intensity is mainly concentrated in high altitude areas, especially in the Tanggula Mountains; (4) slope, poor annual temperature, illumination, altitude and content of sand in soil accelerate soil freeze-thawing erosion, whereas vegetation index does not; wetness index enhanced the influence of vegetation coverage and sand content. (5) this research will provide scientific evidence for protection and restoration of ecological environment in the area.
资助项目National Key R&D Program of China[2018YFC1506506] ; National Key R&D Program of China[2017YFB0503500] ; National Key R&D Program of China[2017YFC1405006] ; State Key Laboratory of Resources and Environmental Information System of China ; National Natural Science Foundation of China[91646207] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA 20030302]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000611556700001
出版者MDPI
资助机构National Key R&D Program of China ; State Key Laboratory of Resources and Environmental Information System of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/136167]  
专题中国科学院地理科学与资源研究所
通讯作者Ge, Yong
作者单位1.China Transport Telecommun & Informat Ctr, Beijing 100011, Peoples R China
2.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255049, Peoples R China
3.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Lu, Yuefeng,Liu, Cong,Ge, Yong,et al. Spatiotemporal Characteristics of Freeze-Thawing Erosion in the Source Regions of the Chin-Sha, Ya-Lung and Lantsang Rivers on the Basis of GIS[J]. REMOTE SENSING,2021,13(2):18.
APA Lu, Yuefeng.,Liu, Cong.,Ge, Yong.,Hu, Yulong.,Wen, Qiao.,...&Liu, Yong.(2021).Spatiotemporal Characteristics of Freeze-Thawing Erosion in the Source Regions of the Chin-Sha, Ya-Lung and Lantsang Rivers on the Basis of GIS.REMOTE SENSING,13(2),18.
MLA Lu, Yuefeng,et al."Spatiotemporal Characteristics of Freeze-Thawing Erosion in the Source Regions of the Chin-Sha, Ya-Lung and Lantsang Rivers on the Basis of GIS".REMOTE SENSING 13.2(2021):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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