探讨地学知识获取与融合方法,将领域知识转换为定量的模型约束条件或初始值,采用趋势面拟合及空间插值等方法进行农业气候资源空间分布曲面建模.基于所构建模型,利用1951~2002年间全国735个地面台站的气温纪录数据,考虑了气温与海拔高程、经度、纬度、地表复杂度等地形要素的综合影响构建了曲面模型,模拟1 km×1 km分辨率的国家尺度的年平均气温空间分布,获得了较高的估算精度,模拟结果高低温中心相吻合,既突出空间分布的总体趋势,也反映局地细节变化,模拟值与实际分布情况接近.
In this paper we investigate methods to acquire and incorporate geoscience knowledge,such as the way to transform geo-scientific knowledge into constraint or initial value of the models;then put forward a novel surface model of agricultural climate resources,which combine trend surface method with spatial interpolation.Based on the air temperature data covering the period from 1951 to 2002 observed in 735 stations which obtained from National Meteorological Information Center in China,the formulae included longitude,latitude,elevation and surface roughness used to estimate the annual mean temperature has been obtained.The results with 1km×1km resolution in national scale show high accuracy,and match the high and low temperature center correctly.They imply abundant information and portray more details in the spatial distribution of annual mean temperature.The values estimated by model are close to the observed(true) air temperature measurements in the whole study area.