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为满足沥青路面结构多指标设计时湿度参数选取及沥青路面气候分区时的需要,以辽宁省为例,用60个气象站14年降水资料,以数字高程数据为基础,将降水量与经度等要素进行线性回归计算趋势面方程并计算采样点降水量残差值,通过普通克里格法(Ordinary Kriging,简称“OK法”)等3种经典空间插值方法对降水要素进行空间插值方法研究并进行交叉验证估值精度评价和统计量分析及以年降水量为例的插值结果空间分布对比分析。结果显示:3种插值方法的平均绝对误差、平均相对误差和均方根误差具有一致性,在精度上看OK法的精度最高。选取OK法求取辽宁省降水量要素值完全能够满足研究需求。
In order to meet the needs of the humidity index selection and asphalt pavement climate partitioning of asphalt pavement structure design, taking Liaoning Province as an example, the precipitation data of 60 stations are used to calculate the precipitation and longitude based on the digital elevation data Elements were calculated by linear regression to calculate the trend surface equation and calculate the residuals of precipitation at sampling points. The spatial interpolation of precipitation elements was carried out by three classical spatial interpolation methods, such as Ordinary Kriging (“OK”) The paper also studies and evaluates the accuracy of cross-validation and the statistic analysis, as well as the comparative analysis of the spatial distribution of interpolation results taking annual precipitation as an example. The results show that the average absolute error, the average relative error and the root mean square error of the three kinds of interpolation methods are consistent, and the precision of the OK method is the highest in accuracy. Select OK method to calculate the value of Liaoning Province precipitation element value can fully meet the research needs.