The soil salinity data for the Bohai Rim coastal zone in the future

I constructed an optimal multiple linear regression model for estimating future soil salinity, using climate, population, and several other independent variables, by using the Akaike information criterion (AIC) method. Using the model and future MAP, MAT, and population data, and the elevation and distance (nearest distance to river) data, I generated soil salinity maps for the time-periods 2041-2060 and 2081-2100 under the SSP245 and SSP585 scenarios, respectively.

本研究采用赤池信息准则（Akaike Information Criterion, AIC）方法，选取气候、人口及其他多项自变量作为解释变量，构建了用于预估未来土壤盐分含量的最优多元线性回归模型。基于该模型，结合未来情景下的年均降水量（Mean Annual Precipitation, MAP）、年均温（Mean Annual Temperature, MAT）、人口数据，以及海拔与距最近河流的距离数据，本研究分别生成了共享社会经济路径2-4.5（SSP245）情景下2041-2060年、共享社会经济路径5-8.5（SSP585）情景下2081-2100年的土壤盐分空间分布图。