Soil wind erosion is the primary process and the main driving force for land desertification and sand-dust storms in arid
and semi-arid areas of Northern China. Many researchers have paid more attention to this issue. This paper select Inner
Mongolia autonomous region as the research area, quantify the various indicators affecting the soil wind erosion, using
the GIS technology to extract the spatial data, and construct the RBFN (Radial Basis Function Network) model for
assessment of wind erosion hazard. After training the sample data of the different levels of wind erosion hazard, we get
the parameters of the model, and then assess the wind erosion hazard. The result shows that in the Southern parts of Inner
Mongolia wind erosion hazard are very severe, counties in the middle regions of Inner Mongolia vary from moderate to
severe, and in eastern are slight. The comparison of the result with other researches shows that the result is in conformity
with actual conditions, proving the reasonability and applicability of the RBFN model.
Based on the GLO-PEM simulated data, net primary productivity (NPP) and its spatiotemporal patterns in Loess Plateau were studied from 1981 to 2000. Our research indicated that the distribution of annual NPP in Loess Plateau was obviously different from east to west and from south to north. The average of annual total NPP is 0.15PgC, with an annual increasing rate of 0.01%. NPP decreased in most parts of Loess Plateau, with the largest decrease in the southeast of Shanxi Province and northeast of Loess Plateau, But it increased in the area along the boundary between Shaanxi Province, Inner Mongolia Province and Lanzhou Basin in the west of Loess Plateau, The early 1990s (1991-1995) is the time with fastest NPP increase. The variation of NPP is different seasonally. It decreased mostly in winter, with an annual rate of 0.57%, and increased with an annual rate of 0.51% from April to May.