Soil moisture is the key factor to help the ecological environment in a mining area.In order to study the disturbance effect of mining subsidence on soil moisture change in the Loess Plateau coal mining area,Dafosi coal mine in Binchang mining area is taken as an example,and the active micro-wave and optical remote sensing images are used to invert the spatial variation of soil moisture in the mining subsidence area.The water cloud model is used to eliminate the influence of vegetation on the backscattering coefficient of active microwave images,and the support vector machine regression model is constructed by field sampling data to obtain the distribution characteristics of surface soil moisture in the mining area;the influence of terrain factors and mining subsiding deformation on soil moisture change in the loess gully region is deeply analyzed.The results show that the regression analysis model constructed by SVM can effectively invert the spatial distribution of soil moisture in the coal mining ar-ea of the Loess Plateau.The topographic characteristics have the greatest influence on soil moisture,and the soil moisture content is higher in the gully area.In the areas with little impact by mining,soil mois-ture change is most affected by terrain slope,followed by slope aspect and least affected by elevation.In the mining subsidence and deformation area of 40201 working face,the variation coefficient of soil wa-ter distribution increases significantly,especially in the mining fracture development area.The results provide technical support for exploring the spatio-temporal characteristics and mechanism of soil mois-ture change in the coal mining area of the Loess Plateau.
维普
万方数据