Abstract:

Soil erosion, a severe environmental problem, is serious in the Jianghuai hilly area. Taking Feidong County as an example, and based on the second soil general survey data, we used the three-stage Hermite interpolation method to transform the soil texture particle size and conduct the calculation with the geometric mean particle size correction model, and adopted the mathematical statistics method, SPSS correlation analysis and ArcGIS software statistical analysis to study soil texture factors and erodibility K values. The results showed that: (1) the variation coefficient of soil texture components in paddy soil and yellow cinnamon soil was significantly different, and the variation coefficient of yellow brown soil was lower; (2) the factors of paddy soil and yellow clay soil mainly functioned through CLA and Dg, and they all had negative effects on soil erodibility; (3) soil erodibility K average value was 0.02797 in Feidong County, that of paddy soil was 0.0279, that of yellow cinnamon soil was 0.0281, and that of yellow brown soil was 0.0263; (4) among different soil textures, K value of the silt loam was the largest, and that of the sandy loam soil was the smallest, and the soil texture K value was weakly variable; (5) the soil erodibility of Feidong County was mainly moderately corrosive and highly corrosive. The spatial distribution of soil erodibility K value in Feidong County show a trend of decrease-increase-decrease from north to south, and a gradual increase from east to west, and there is a great risk of soil erosion.

Key words: soil erodibility, soil texture, K factor, Jianghuai hilly area, GIS