河南省冬小麦年均需水量空间插值研究  

Spatial Interpolation of Winter Wheat Annual Average Water Requirement Based on ArcGIS

作　　者：胡杰华[1] 马孝义[1] 尹京川[1] 王峥[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：《灌溉排水学报》2012年第3期107-110,共4页Journal of Irrigation and Drainage

基　　金：国家自然科学基金项目(50879072);国家科技支撑计划项目(2006BAD11B04);国家863计划课题(2006AA100209);西北农林科技大学人才专项基金项目(BJRC-2009-001)

摘　　要：解决冬小麦的需水信息通常采用水量的空间插值方法,而在众多空间插值方法中,没有绝对最优的空间插值方法,只有特定条件下的最优方法。对河南省的25个灌溉站点的冬小麦年均需水量数据,采用4种空间插值方法对各站点冬小麦年均需水量进行研究,综合分析得到,4种插值方法都能很好地反映25个站点的冬小麦年均需水量,无明显的系统误差,比较而言,整体多项式插值法最优。With the increasing needs for spatial winter wheat water requirement information,spatial interpolation method of water requirement is widely used.Different water requirement interpolation methods for different study areas and study aims will have different results.However,there are no absolute optimal interpolation methods unconsidering certain conditions.This paper selects four kinds of commonly used spatial interpolation methods for spatialization of annual winter wheat water requirement and compares different spatial interpolation methods via 25 meteorological stations around the Henan province.By comprehensive analysis and comparison of different spatial interpolation method,error of spatial estimate of annual winter wheat water requirement in Henan province is： IDW〈Kriging〈Cokriging〈GP.

关 键 词：冬小麦需水量 距离倒数权重插值 整体多项式法 普通克里金法 协同克里金法 

分 类 号：S512.11[农业科学—作物学]