RS And GIS Based Study On The Problem Of Soil Salinization In Shandong Province

Providing references for the reasonable allocation of water, monitoring and warning for saline, we find ways to analysis the causes, meander to the spatial distribution and development trend. In this paper, we choose Qi He Xian of De Zhou city in Shan Dong province as the research area. We extract the information of saline fields by ERDAS, and extract river network information with GIS. Making the first basic assumption of medium interference hypothesis as a theory basis, and trying to get a quantitative comments of the salinization degree is the goal. The results of the study show that: The saline land in relative distribution in the shallow area or areas where buried depth changes volatility stronger. Buried depth is the control of the main factors to change saline. Checking the use of the first basic assumption of medium interference hypothesis combined with buried depth, which is the dominant factor of soil salinization analysis, to the alert degree of soil salinization of the study area with the landscape index of SHEI=0.9316. Calculating the patience limit threshold of the interference of saline, and come to five landscape indexes as SHDI=1.4994, SHEI=0.9316, CONTAG=40.0674, PLADJ=89.5281, IJI=79.0019, to provide data for supporting to prevent soil salinization affecting crop growth, and try to solve the difficulty of quantitative description of the medium interference hypothesis.