Title :
Assessment of wind erosion hazard in typical transect Erenhot-Zhangjiakou
Author :
Liang, Haichao ; Shi, Huading
Author_Institution :
China Univ. of Min. & Technol., Beijing, China
Abstract :
This paper establishes a natural-factor database on the basis of researching the literature and considering the availability of data, using remote-sensing data and meteorological observation data, and employs the Fuzzy Clustering and expert knowledge to establish an assessment model of wind erosion hazard to assess the wind erosion hazard of Erenhot-Zhangjiakou. The result shows: the trend of the wind erosion hazard in Erenhot-Zhangjiakou is an increasing hazard from southeast to northwest, which is consistent with environmental and climate conditions; the area of severe hazard and intense hazard is 1.80×104 km2 and 7.58×104 km2 respectively. It takes up the fifty-six percentage of total area, and indicates that the wind erosion has been the serious environmental problem.
Keywords :
erosion; expert systems; fuzzy logic; geophysics computing; pattern clustering; remote sensing; rocks; wind; China; Erenhot-Zhangjiakou transect; expert knowledge; fuzzy clustering; meteorological observation data; natural factor database; remote sensing data; wind erosion hazard assessment model; wind erosion hazard trend; Hazards; Land surface; Soil; Surface topography; Vegetation mapping; Wind; Wind energy; assessment; fuzzy clustering; wind erosion;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964235