The Spatial Pattern Analysis Of Nebkhas In The Ebinur Lake Basin Base On GPS And GIS

The nebkhas are wind-accumulated landform in arid and semiarid area. Nebkhas play an important role in attribute aeolian landform process, areal environmental evolvement, stable areal ecosystems etc. But the level of nebkhas'study is low at present, especially, traditional measure technology and method can't give an exact description of nebkhas morphology and spatial pattern. The text tries to collect data of nebkhas with high precision GPS in Ebinur Lake basin, and use the spatial analysis function of GIS to research the spatial pattern. This will provide theory warranty for areal ecosystem protection, and new technology and methods for future study.The text gets the following conclusion via researching and analyzing the data of nebkhas in the Ebinur Lake basin:1. Nebkhas almost are random distribution, but they are often uniform distribution in small scale. Nebkhas in the 0-4m scale 0f G101B quadrat , in the 0-1m scale 0f G101B quadrat , in the 0-2.5 m scale 0f G101B quadrat are uniform distribution.2. The quantity of small area nebkhas are possessed of obvious quantity predominance ,and the super and large sand nebkhas is rarely seen. In addition, the shape of the nebkhas is very close the circle, and the circular degree of each quadrat is 0.8189,0.7741,0.8724,0.8688; The trend of nebkhas are consistent with the wind direction in study area, is northwest-southeast direction.3. The text brings the minimum distance curve analysis way based on the nearest distance of area object, and analyzes the spatial pattern, we know that frequency distribution of spaces between nebkhas in study area are normal distribution,and the average minimum distance have big difference on the space.4. Using Moran's I coefficient to study the space relativity between height and trend of nebkhas, we found the height and trend in the same direction and same scale show consistency, and the consistency in big scale is weak.5. According to the regression analysis and correlation analysis of nebkhas morphology and vegetation exponent, we can know there is strong power function relativity between nebkhas morphology and vegetation vegetative factor.