One of the most serious environmental problems in Farming-Pastoral Ecotone of Northern China is land desertification and sand storm. With the support of geographic information system, this paper establishes a natural factor database and takes Erenhot-Zhangjiakou as a typical transect to build regional wind erosion hazard assessment model using fuzzy clustering, expert knowledge and neural network technique, and then analyzes the spatial distribution of soil wind erosion hazard in Inner Mongolia; finally, the natural environment of spatial distribution of soil wind erosion hazard and land use background is studied according to land use type of the study area. Result shows: the integrated application of Fuzzy Clustering and Neural Network is an effective way to assess wind erosion hazard; the trend of wind erosion hazard in Inner Mongolia is increasing from east to west, which is consistent with the nature, land use and climate condition in the study area. The zone of severe hazard is mainly in the northwest Alashan with an area of 6.9×104 km2; the zone of intense hazard is mainly located around the Yinshan Mountains, northwest plateau of the Xilin Gol League, through the Badain Jaran Desert and Hunshandake, the area is 4.3×104 km2; the zone of moderate hazard is roughly located between the severe hazard and intense hazard, the area is 1.5×105 km2; the zone of slight hazard is mainly in the central Inner Mongolia, the area is 7.5×105 km2; and the zone of no hazard is located around Daxinganling with an area of 1.4×105 km2.
LIANG Hai-chao, SHI Hua-ding, GAO Qing-xian
. Wind Erosion Hazard Assessment Based on Fuzzy Clustering and Neural Network—A Case Study of Inner Mongolia[J]. JOURNAL OF NATURAL RESOURCES, 2012
, 27(4)
: 577
-587
.
DOI: 10.11849/zrzyxb.2012.04.005
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