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作 者:朱晖[1] 马孝义[1] 李忠娟[1] 李贤波[1]
机构地区:[1]西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌712100
出 处:《中国农村水利水电》2012年第12期45-48,共4页China Rural Water and Hydropower
基 金:"十二五""863"项目(2011AA100509);"十二五"科技支撑项目(2011BAD25B03);"十二五"科技支撑项目(2012BAD08B01)
摘 要:降水量是重要的气候要素,随着降水量空间信息需求的日益增加,降水量的空间插值应用及其广泛。运用软件ArcGIS将宝鸡峡灌区25个基本站点1961-1990年30年平均降水量数据进行空间插值,采用整体多项式法、反离权重法、克里金插值方法研究宝鸡峡地区降水的空间分布,通过对比分析得出:①宝鸡峡地区降水量在空间上变化较大,总体上东南部多于西北部。②几种插值方法各有优缺点,整体看克里金方法误差均值和误差均方差较小,预测效果最佳,可以更好的得到降水量的预测值。③采用简单克里金法虽然可以较好地反映宝鸡峡灌区降水量的空间分布但精度还是不够高的,插值精度还有待进一步提高。Precipitation is an important climate elements. With the increasing need tor spatial precipitation lntormatlon, spatial inter- polation method of precipitation is widely used. Taking 25 Baojixia Irrigation sites 1961-1990, 30-year average precipitation data for spatial interpolation to use software ArcGIS. Using Overall Polynomial method, IDW method, Kriging interpolation method to do re search on spatial interpolation is carried in Baojixia Irrigation. Results show that there is a great difference in precipitation distribu- tion in Baojixia Irrigation. The precipitation in the southwest of Baojixia Irrigation is more than that in Northeast. @The interpola- tion methods have advantages as well as disadvantages. The Simple Kriging Method works best in the whole analysis. Simple Kriging method is used to receive the precipitation forecast data. @Simple Kriging Method can better reflect the spatial distribution of precipi- tation in Baoiixia Irri^ation, but accuracy is not high enough, so interpolation accuracy is to be further enhanced.
分 类 号:TV212.1[水利工程—水文学及水资源]
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