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综合考虑宏观地形因子、微观地形因子、气象因子等对作物需水量的影响,将主成分分析(PCA)和地理加权回归(GWR)方法相结合进行华北地区冬小麦作物需水量空间分布的估算,根据主要影响因子和回归系数的空间变化规律,分析探讨华北地区冬小麦需水量空间分布特征及其形成原因.结果表明:应用PCA方法对影响因子进行处理,可以有效消除各影响因子的共线性,GWR方法的回归系数在空间上呈现较强的变异性,可以更好地解释影响因子对作物需水量影响的空间差异.提出的方法多项评价指标均优于目前常用的克里格方法,可有效地揭示不同空间位置不同影响因素对作物需水量的影响,提供影响因子突变地区更多的细节信息,对区域作物需水的估算具有一定的借鉴意义.
Considering the impact of macroscopic topographic factors, topographic factors and meteorological factors on crop water demand, the spatial distribution of winter wheat crop water demand in North China was estimated by principal component analysis (PCA) and geo-weighted regression (GWR) Main influencing factors and regressive coefficients of spatial distribution of winter wheat in North China were analyzed.The results showed that applying PCA method to deal with the influencing factors could effectively eliminate the collinearity of all the influencing factors and the GWR method Of the regression coefficients showed strong variability in space, which could better explain the spatial difference of impact factors on crop water demand. The proposed method is better than the commonly used kriging methods in multiple evaluation indexes To reveal the influence of different influencing factors on crop water demand in different spatial locations and to provide more detail information in the areas with abrupt change of influence factors, it is of certain reference significance for the estimation of regional crop water requirement.