Accurately get the spatial distribution of soil salinization and the spatial location characteristics of its relationship with land use intensity can explain the reason of soil salinization from a perspective of land use intensity,so as to provide a reference to local planning and management.In this paper,taking Yinchuan Plain as the research area,we primarily studied the method of getting the saline soil' s spatial distribution based on remote sensing images.Combined with the land use remote sensing mapping and with the support of statistical methods based on semivariance function and grey correlation theory,the visual expression of spatial location distribution characteristics are developed for land use intensity change,soil salinization change,and the respond relationships between each kind of saline soil and land use intensity in Yinchuan plain.The main conclusions are presented as follows:first,the development of Yinchuan plain had an agglomeration effect.Land use intensity change was closely related to the urban system structure,the distribution of road and channels and soil salinity.Second,the soil salinization change of Yinchuan Plain revealed a spatial distribution of entire alleviation but local aggregation feature.The response relationship between saline soil and land use intensity change was spatial heterogeneity.Third,the correlation coefficient between the saline soil level change and land use intensity change was 0.7781.The correlation degree between land use and saline soil were found higher in water and cultivated land,which showed that the land use could influence soil salinization distribution characteristics.Therefore,among all the land use types,water and cultivated land were important factors of influence to soil salinization.Generally,strengthen the awareness of environmental protection and cultivation will help reduce soil secondary salinization.Further improve the water conservancy facilities can help reduce groundwater salinity.Moreover,we can protect cultivated land to promote the sustainable development of agriculture.
soil salinizationland use intensitycorrelation coefficientYinchuan Plain
NETL
NSTL
万方数据
维普
