Abstract: Soil wind erosion is the driving force for land degradation, regional environment deterioration, and sandstorms in arid and semiarid regions. To evaluate the degree of wind erosion, a radial primary function network model was developed to carry out the network emulation analysis in Xinjiang, China, in which the grids of 1,000 × 1,000 m has been delimited as the basic research units. The related factors affecting wind erosion were extracted by geographic information system technology. Moreover, its calibration samples were selected from the typical distribution areas of different wind erosion to determine the model parameters. The results show that wind erosion disaster is extremely serious over 50% of the land in Xinjiang, with more than one fourth of the total suffering from more serious wind erosion. The regions with extremely serious wind erosion are distributed throughout east Xinjiang and in south and north Xinjiang. Spatially, wind erosion is roughly high in the southeast but low in the northwest and high in the basins but low in the alpine regions. After comparison and validation with the previously published research results and long-term observations, it is concluded that the research achievements in this study are in accord with the overall distribution pattern of wind erosion in Xinjiang. This method has potential for spatial assessment of wind erosion hazards.
1State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, PR China. Dr. Bao Anming is corresponding author. E-mail: email@example.com
2Chongqing Institute of Geology & Mineral Resources, Chongqing, China.
3Chongqing Research Center of State Key Laboratory of Coal Resources and Safe Mining, China.
4Shihezi University, Shihezi, China.
Received November 9, 2010.
Accepted for publication September 13, 2011.
Financial Disclosures/Conflicts of Interest: This work was supported by National 973 Key Project of China (2009CB421301), Natural Science Foundation of China (40801146, 41161008), open fund of Key Laboratory of Oasis Ecology and Desert Environment of Chinese Academy of Sciences (200901-01), and open fund of Xinjiang Key Laboratory of Water Cycle and Utilization in Arid zone (XJYS0907-2010-01). The authors have no conflicts of interest to report.