摘要
基于经度、纬度和海拔高度3种宏观地理要素信息,采用"逐步回归的趋势面模拟+残差内插"法,建立黄土高原地区降水量空间分布的回归模型,并根据模型估算结果分析该区降水资源的空间分布特征。回归模型的显著性检验及站点检验表明:经度、纬度和海拔高度3种宏观地理因子对黄土高原地区降水量的空间分布具有很强的决定作用;基于3种宏观地理因子建立的降水模型可用于模拟黄土高原地区年降水量的空间分布。根据模型的估算结果,可知黄土高原地区年均降水量的空间分布差异显著,呈现出由东南向西北方向递减的趋势,半干旱-半湿润气候类型占全区总面积的85%以上,降水量集中在250-800 mm之间。
Based on three macro-geographical factors,latitude,longitude and elevation,regression models were built for precipitation across the Loess Plateau by adopting trend surface model,stepwise regression analysis and residual interpolation. Through significant tests for the regression models and station validation for the simulations,the results showed that the spatial difference of annual precipitation over the Loess Plateau is largely determined by the three geographical factors involved in this study,and the models were able to be used to depict the fundamental characteristics of spatial precipitation over the Loess Plateau.According to the simulations,the annual precipitation across the Loess Plateau appeared to have remarkable differences,where a clearly downward tendency from southeast to northwest could be seen.The prevailing climate pattern there is semi-arid and semi-humid climate,which takes control of more than 85 percent of the total area.In most regions,the annual precipitation mainly varies ranging from 250 mm to 800 mm.
出处
《干旱地区农业研究》
CSCD
北大核心
2011年第1期237-241,共5页
Agricultural Research in the Arid Areas
基金
中国科学院知识创新工程重要方向项目(KZCX2-YW-424)
黄土高原土壤侵蚀与旱地农业国家重点实验室专项(10502-Z10)
关键词
宏观地理因子
降水
黄土高原
空间化
macro-geographical factors
precipitation
the Loess Plateau
spatialization