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土壤盐分和含水量的空间变异性及其CoKriging估值——以黄河三角洲地区典型地块为例
引用本文:姚荣江,杨劲松,刘广明.土壤盐分和含水量的空间变异性及其CoKriging估值——以黄河三角洲地区典型地块为例[J].水土保持学报,2006,20(5):133-138.
作者姓名:姚荣江  杨劲松  刘广明
作者单位:中国科学院,南京土壤研究所,江苏,南京,210008
基金项目:国家自然科学基金;引进国际先进农业科技计划(948计划)
摘    要:以黄河三角洲地区典型地块为研究区,运用经典统计学和地统计学相结合的方法研究了不同深度土层盐分和含水量的空间变异特征。结果表明:研究区土壤盐分和含水量普遍较高,土壤表层积盐作用明显;各层土壤盐分均属于中等变异强度,土壤含水量除表层为中等变异强度外,其余各层为弱变异强度;受结构性因素和随机性因素的共同作用,各土层盐分和含水量均具有中等的空间相关性。对Kriging插值结果分析表明,研究区各土层盐分和含水量在一定的范围内均存在着空间上的相关性和变异性,表层土壤盐分和含水量的空间分布主要受微地形和气候条件的影响,地下水性质是主导深层土壤盐分及含水量空间分布的主要因素。分别采用表层土壤盐分及相应土层含水量对深层土壤盐分进行CoKriging估值,均能提高估值精度,采用表层土壤盐分对深层土壤盐分进行CoKriging估值的精度要明显高于采用土壤含水量,其估计方差减少百分数最大达到167.36%。

关 键 词:黄河三角洲  空间变异特征  半方差函数  Kriging插值  CoKriging估值
文章编号:1009-2242(2006)05-0133-06
收稿时间:2006-03-15
修稿时间:2006-03-15

Spatial Variability of Soil Salinity and Moisture and Their Estimations by CoKriging Method——A Case Study in Characteristic Field of Yellow River Delta
YAO Rong-jiang,YANG Jin-song,LIU Guang-ming.Spatial Variability of Soil Salinity and Moisture and Their Estimations by CoKriging Method——A Case Study in Characteristic Field of Yellow River Delta[J].Journal of Soil and Water Conservation,2006,20(5):133-138.
Authors:YAO Rong-jiang  YANG Jin-song  LIU Guang-ming
Institution:Institute of Soil Science, Chinese Academy of Sciences, Nan jing 210008
Abstract:Spatial variability of soil salinity and moisture for all depth layers was measured and analyzed by using statistics and geo-statistics,which was performed in characteristic field of Yellow River Delta.The results indicated that soil salinity and moisture for all depth layers were generally high,and salt accumulation at the surface soil layer was significant;Soil salinity for all depth layers exhibited moderate spatial variability,and soil moisture of surface layer exhibited moderate spatial variation while soil moisture of other layers exhibited week spatial variability;Soil salinity and moisture for all depth layers showed moderate spatial autocorrelation resulting from compound impact of structural and random factors.The spatial distribution map of soil salinity and moisture interpolated by Kriging interpolation showed apparently that to some extent there existed spatial correlativity and variability between soil salinity(or soil moisture) distribution maps of different depth layers.The spatial distribution of soil salinity and moisture for surface layer was mostly controlled by micro-topography and climatic conditions,while the spatial distribution of soil salinity and moisture for deeper layers was mainly controlled by groundwater properties.The surface layer soil salinity and soil moisture of corresponding layers were used to estimate soil salinity of deeper layers by CoKriging method respectively,it is shown that the interpolation precision of CoKriging method was higher than that of Kriging method,and the precision of CoKriging estimation by surface layer soil salinity was significantly higher than that by soil moisture,the estimated variance could be decreased by 167.36% compared with that estimated by Kriging method.
Keywords:Yellow River Delta  spatial variability  semivariance  Kriging interpolation  CoKriging method
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