Abstract:Based on remote sensing data and meteorological data, RWEQ model and wind erosion prediction model were used to evaluate soil wind erosion and analyze its driving factors in Inner Mongolia Autonomous Region from 2000 to 2017. The results showed that: (1) RWEQ model (R2=0.85, P<0.01) and wind erosion prediction model (R2=0.43, P<0.01) had a good correlation with 137Cs tracer wind erosion, and RWEQ model had a better prediction accuracy. (2) In terms of time, the simulation results of RWEQ and wind erosion prediction model showed that the wind erosion in Inner Mongolia Autonomous Region showed a decreasing trend from 2000 to 2017, and the decreasing trend was 0.73 t/(hm2·a) and 1.18 t/(hm2·a), respectively. The wind erosion modulus of soil simulated by the two models reached the lowest value in 2011. Spatially, from 2000 to 2017, the simulation results of the two models showed that the soil wind erosion in Inner Mongolia Autonomous Region was dominated by slight and light erosion, and the severe erosion accounted for a relatively small proportion in the whole study area (RWEQ: 1.79%, wind erosion prediction model: 5.45%), which was mainly distributed in the southwest of the northern sandstorm area. The wind erosion modulus of 89.74% (RWEQ) and 72.05% (wind erosion prediction model) showed a decreasing trend, and the significantly decreasing areas were mainly distributed in the Badain Jaran Desert and Ulan Buhe Desert in the wind-swept area of northern China. (3) Wind erosion was significantly impacted by the windy days. With the increase of windy days, soil wind erosion showed a significant upward trend, and the increase of vegetation coverage and precipitation could inhibit the soil wind erosion to a certain extent.