摘要
利用冬小麦大田喷灌土壤水分测定数据,对大田喷灌的土壤水分进行了统计分析,揭示了土壤水分属于中等变异,且土壤水分不属于正态分布。然后分别使用克里格法、反距离加权法、径向基函数法和多项式回归法对大田喷灌低水分处理的土壤水分进行插值分析,结果表明克里格插值方法优于径向基函数法,径向基函数法优于反距离加权法,反距离加权法优于多项式回归法。最后利用高水分处理的土壤水分数据进行验证,得出此结论成立,并绘制了高、低水分处理的等值线图。
Based on the soil moisture data in winter wheat field under sprinkler irrigation,the statistical analysis on the soil moisture data was carried on. The result showed that soil moisture in sprayed field belonged to medium variation, and did not belong to normal distribution. Then the interpolation analysis on soil moisture in sprayed field was conducted by adopting the Kriging, Inverse Distance Weighting (IDW), Radial Basis Function (RBF) and Polynomial Regression. The results showed Kriging interpolation meth- od was better than RBF, RBF method was better than the IDW, and the IDW was better than the polynomial regression. Finally, using the high water treatment data to certificate the interpolation methods indicated the conclusion was feasible, and the contour maps of high water and low water treatments were drew.
出处
《灌溉排水学报》
CSCD
北大核心
2008年第4期116-118,共3页
Journal of Irrigation and Drainage
基金
科研院所社会公益研究专项项目(2005DIB4J058)
"十一五"国家支撑计划项目(2006BAD11B02)
国家自然基金资助项目(50609030)
关键词
喷灌
土壤水分
插值
水分分布
sprinkler irrigation
soil moisture
spatial interpolation
soil moisture distribution