Abstract:In this study, data mining and integration were used to establish China's soil permeability database, and comprehensive analysis of the influencing factors were applied to reveal the regional variation of soil permeability. The results showed that:(1) The changes in soil permeability were regional in Southwest China < North China < Northeast China. Southwestern China had the worst soil permeability, and the logarithm of infiltration rate fluctuated between -0.5~-2.0. The soil permeability in North and Northeast of China was good, with values above 0.5. (2) Climate types and forest ages indirectly improved soil penetration by affecting vegetation. Vegetation could effectively increase soil infiltration, but there was no significant difference between vegetation types. As soil layers deepened, soil permeability declined. The threshold values existed for all the effects of soil organic matter, soil bulk density and non-capillary porosity on soil infiltration. The values were 30%, 1.0 g/cm3, and 30%, respectively. When the value of each factor exceeded this threshold, its effect on soil penetration decreased. In order to better explore the effect of soil types on soil permeability, the analysis of soil structure, aggregates and other data should be strengthened in the future research. (3) The effects of altitude, soil depth and soil bulk density on soil permeability occurred mainly through affecting the number of non-capillary pores in the soil. Non-capillary porosity was the dominant factor affecting soil infiltration, with the path coefficient of 0.34.