摘要
降水的空间插值将有限的雨量站点观测数据插值为规则分布的空间数据集,对于解决水文关键问题具有重要的实际应用价值。但在众多的降水插值方法中,没有一种普适的最优方法。以中国西辽河上游老哈河流域为例,利用研究区1994-2005年52个气象站点的逐日降水资料,利用反距离加权、普通克里格、考虑高程的协同克里格对流域降水进行了空间插值,进而分析了流域降水的空间变异规律。结果表明:老哈河流域考虑高程的协同克里格插值取得了较好的精度;老哈河流域降水存在较大的空间变异性,有由南往北的递减趋势,降水量主要集中在流域的西南部。
The spatial interpolation method on precipitation, which can interpolate the observed data from finite rainfall stations into the spatial distributed dataset, is rather valuable to solve the important hydrological issues. However there is no any method that is recognized as the most optimized method for precipitation up to now. We used daily rainfall data of 52 meteorological site distributed within Laoha River basin located at the upstream of Chinese Xiliao River and extracted the monthly rainfall from 1994 to 2005 as the raw data for further investigation. By using three interpolation methods, such as inverse distance weighted, ordinary Kriging and co - Kriging considering the elevation, we made a spatial interpolation and analyzed the spatial heterogeneity for the precipita- tion of the study area. The results showed that co - Kriging considering the elevation achieves the highest accuracy. The spatial heterogeneity of precipitation in Laoha river basin has an evident decreasing trendency from the southwest to the northeast. The precipitation mainly eoncentrates over the southwest part of the basin.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2010年第1期80-84,共5页
Journal of Arid Land Resources and Environment
基金
国家重点基础研究发展规划项目(2006CB400502)
高等学校学科创新111引智计划项目(B08048)
水资源与水电工程科学国家重点实验室开放研究基金(2008B039)资助
关键词
降水
空间插值
空间变异
老哈河流域
precipitation
atial interpolation
spatial variation
Laoha River basin