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基于PRISM的山地环境大气湿度的空间插值
引用本文:蒋育昊,刘鹏举,夏智武,贾道祥,闫明.基于PRISM的山地环境大气湿度的空间插值[J].福建农林大学学报(自然科学版),2016(6):692-699.
作者姓名:蒋育昊  刘鹏举  夏智武  贾道祥  闫明
作者单位:中国林业科学研究院资源信息研究所,北京,100091
基金项目:“863”计划资助项目(2012AA102001-2)
摘    要:基于PRISM方法设计开发了山地大气湿度空间插值模型,选取北京西部山区作为试验区域,利用气象科学数据共享平台上36个台站资料和1∶25万DEM数据生成年、月、日3个时间尺度下大气相对湿度的栅格信息.采取站点交叉验证的方式对插值结果进行精度评估,并与反距离加权、克里金等其他空间插值方法的插值精度进行比较.结果表明:基于PRISM模型的大气湿度空间插值模型适合模拟北方山地的大气湿度分布场,年平均相对湿度和月平均相对湿度的插值精度比较高;与考虑空间距离或者空间距离结合海拔的其他插值方法相比,该模型插值精度有了较大提高.

关 键 词:大气湿度  空间插值  PRISM  加权线性最小二乘回归

Spatial interpolation of humidity over mountain area based on PRISM
Abstract:To investigate spatial distribution characteristics of humidity across mountainous area in western Beijing, spatial interpola-tion model based on parameter-elevation regression on independent slopes model ( PRISM) principle was applied to hourly humidity data from 36 stations of Meteorological Science Data Sharing Platform and 1 ∶ 250000 DEM data across western mountainous area in Beijing. Then grid information on atmospheric relative humidity under time scales of yearly, monthly and daily was generated. Moreo-ver, accuracy of the model was evaluated by cross validation among the sites and comparison with other models like inverse-distance-weighting, Kriging and polynomial. The result showed that this spatial interpolation model based on PRISM was suitable for simula-ting atmospheric humidity distribution over mountainous area in northern China. Interpolation accuracies for monthly and annual av-erage relative humidity were greatly improved. And its interpolation accuracy was higher than other interpolation methods which only considered space distance or space distance together with altitude.
Keywords:atmospheric humidity  spatial interpolation  parameter-elevation regression on independent slopes model  weighted lin-ear least squares regression
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