对研究区气象站点的年均温与其他地理要素进行相关分析,发现温度与高程具有较高的相关系数。在此基础上,设计了使用空间内插方法分别获得研究区气温与高程,再根据内插得到的高程与实际DEM之差对内插得到的气温进行温度梯度修正,以得到实地气温的方法。这种方法可以有效的消除对气温进行内插时,高程要素对其产生的干扰。分别运用IDW、Kriging、Spline3种方法进行插值,比较结果发现IDW法得到的结果最能反映温度随空间位置变化的趋势,较其他两种内插方法具有较大的优势。
The relationship among average annual air temperature and other geographic components is studied in the study area, and it shows the coefficiency index between air temperature and altitude is very high. Based on this a method is designed to get the air temperatures in the whole area. First, the temperature and altitude is interpola- ted base on the data from weather station. Second, temperature gradient correction equation is used based on the difference between the altitude we got in the first step and the DEM data. This method is useful in diminish the impact taken in by altitude in the interpolation operation. The result from IDW, Kriging, Spline interpolation methods is compared. It is confirmed that IDW methods makes a better result than the other two, and can reflect the distribution of air temperatue changing with position.