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利用1980~2006年的常规气象资料和土壤水分资料,确定了辽宁省5个气候相似区的作物系数,模拟了土壤水分供应系数动态模型,在水分平衡方程的基础上,建立了辽宁省0~50 cm的农田土壤水分预报模型,同时对其进行了检验。利用NOAA卫星监测得到的农田土壤含水量作为预报的初始值,然后在GIS支持下,采用Kriging插值方法对模型中所需参数的散点数据进行插值得到与预报值匹配的网格数据,然后利用地理信息系统的空间分析功能,依据模拟的农田土壤含水量预报模式,计算了农田土壤含水量预报值的格点数据,实现了农田土壤含水量由点到面的预报。结果表明:模型的预报准确率在85%以上,应用地理信息系统技术预报土壤含水量是可行的。
Using the conventional meteorological data and soil moisture data from 1980 to 2006, the crop coefficients of five climatic similarities in Liaoning Province were determined and the dynamic model of soil water supply coefficient was simulated. Based on the water balance equation, 50 cm farmland soil moisture forecast model, at the same time it was tested. Using the soil moisture content of farmland monitored by NOAA satellite as the initial value of prediction, the Kriging interpolation method is used to interpolate the scattered data of the required parameters in the model to get the grid data that matches with the predicted value. Then, According to the simulation model of soil moisture content in farmland, the grid data of the forecast value of farmland soil moisture was calculated and the prediction of farmland soil water content from point to surface was realized. The results show that the prediction accuracy of the model is above 85%. It is feasible to forecast the soil water content by applying the GIS technology.