An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing

被引:24
|
作者
Zhou, Yi [1 ]
Guo, Bing [1 ,2 ]
Wang, ShiXin [1 ]
Tao, HePing [3 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
基金
中国国家自然科学基金;
关键词
wind erosion; estimation model; soil erodibility; snow cover days; aridity; Inner Mongolia; FREEZE-THAW; LAND; PARAMETERS; REFLECTANCE; RESPIRATION; GRASSLANDS; VEGETATION; TRANSPORT; DYNAMICS; GRADIENT;
D O I
10.1007/s40333-015-0122-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Studies of wind erosion based on Geographic Information System (GIS) and Remote Sensing (RS) have not attracted sufficient attention because they are limited by natural and scientific factors. Few studies have been conducted to estimate the intensity of large-scale wind erosion in Inner Mongolia, China. In the present study, a new model based on five factors including the number of snow cover days, soil erodibility, aridity, vegetation index and wind field intensity was developed to quantitatively estimate the amount of wind erosion. The results showed that wind erosion widely existed in Inner Mongolia. It covers an area of approximately 90x10(4) km(2), accounting for 80% of the study region. During 1985-2011, wind erosion has aggravated over the entire region of Inner Mongolia, which was indicated by enlarged zones of erosion at severe, intensive and mild levels. In Inner Mongolia, a distinct spatial differentiation of wind erosion intensity was noted. The distribution of change intensity exhibited a downward trend that decreased from severe increase in the southwest to mild decrease in the northeast of the region. Zones occupied by barren land or sparse vegetation showed the most severe erosion, followed by land occupied by open shrubbery. Grasslands would have the most dramatic potential for changes in the future because these areas showed the largest fluctuation range of change intensity. In addition, a significantly negative relation was noted between change intensity and land slope. The relation between soil type and change intensity differed with the content of CaCO3 and the surface composition of sandy, loamy and clayey soils with particle sizes of 0-1 cm. The results have certain significance for understanding the mechanism and change process of wind erosion that has occurred during the study period. Therefore, the present study can provide a scientific basis for the prevention and treatment of wind erosion in Inner Mongolia.
引用
收藏
页码:304 / 317
页数:14
相关论文
共 50 条
  • [1] An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing
    Yi Zhou
    Bing Guo
    ShiXin Wang
    HePing Tao
    [J]. Journal of Arid Land, 2015, 7 : 304 - 317
  • [2] An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing
    Yi ZHOU
    Bing GUO
    ShiXin WANG
    HePing TAO
    [J]. Journal of Arid Land, 2015, 7 (03) : 304 - 317
  • [3] Dynamic monitoring of soil wind erosion in Inner Mongolia of China during 1985–2011 based on geographic information system and remote sensing
    Yi Zhou
    Bing Guo
    Shixin Wang
    Heping Tao
    Wenliang Liu
    Guang Yang
    Jinfeng Zhu
    [J]. Natural Hazards, 2016, 83 : 1 - 17
  • [4] Dynamic monitoring of soil wind erosion in Inner Mongolia of China during 1985-2011 based on geographic information system and remote sensing
    Zhou, Yi
    Guo, Bing
    Wang, Shixin
    Tao, Heping
    Liu, Wenliang
    Yang, Guang
    Zhu, Jinfeng
    [J]. NATURAL HAZARDS, 2016, 83 (01) : 1 - 17
  • [5] Improved estimation method of soil wind erosion based on remote sensing and geographic information system in the Xinjiang Uygur Autonomous Region, China
    Guo, Bing
    Zhang, Fei-Fei
    Yang, Guang
    Sun, Cai-Hong
    Han, Fang
    Jiang, Lin
    [J]. GEOMATICS NATURAL HAZARDS & RISK, 2017, 8 (02) : 1752 - 1767
  • [6] Soil erosion estimation of Soan river catchment using remote sensing and geographic information system
    Nabi, G.
    Latif, M.
    Ahsan, M.
    Anwar, S.
    [J]. SOIL & ENVIRONMENT, 2008, 27 (01) : 36 - 42
  • [7] Impact of Cropland Evolution on Soil Wind Erosion in Inner Mongolia of China
    Chi, Wenfeng
    Zhao, Yuanyuan
    Kuang, Wenhui
    Pan, Tao
    Ba, Tu
    Zhao, Jinshen
    Jin, Liang
    Wang, Sisi
    [J]. LAND, 2021, 10 (06)
  • [8] Soil wind erosion evaluation and sustainable management of typical steppe in Inner Mongolia, China
    Lyu, Xin
    Li, Xiaobing
    Wang, Hong
    Gong, Jirui
    Li, Shengkun
    Dou, Huashun
    Dang, Dongliang
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 277
  • [9] Application of satellite remote sensing for mapping wind erosion risk and dust emission-deposition in Inner Mongolia grassland, China
    Reiche, Matthias
    Funk, Roger
    Zhang, Zhuodong
    Hoffmann, Carsten
    Reiche, Johannes
    Wehrhan, Marc
    Li, Yong
    Sommer, Michael
    [J]. GRASSLAND SCIENCE, 2012, 58 (01) : 8 - 19
  • [10] Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China
    Kawamura, K
    Akiyama, T
    Yokota, H
    Tsutsumi, M
    Yasuda, T
    Watanabe, O
    Wang, SP
    [J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2005, 107 (01) : 83 - 93