The purpose of this work was to: (i) propose a methodology to infer local estimates of the available water capacity (AWC) at a plot from a few measurements in laboratory of AWC carried out on horizons of a pit on the same plot, (ii) examine the effect of measurement errors on spatial estimates of AWC and the associated uncertainties. For each horizon identified in the pit, the water content was determined at field capacity and at the permanent wilting point, and thus AWC. 47 soundings were carried out on a regular grid covering the plot. For each sounding, an AWC value was estimated by matching sounding horizons to the pit horizons. Laboratory measurements of AWC on 14 sites were used to validate the 47 local estimates. Statistics such as correlation coefficient, mean error and root mean square error are promising at 0.84, 4.0 mm and 17.5 mm, respectively. The spatialization of AWC was carried out by ordinary kriging, considering or ignoring the measurement errors on AWC. The precision of AWC estimates allowed making evident that accounting for measurement errors provided estimates that were more precise. This result, confirmed by the prediction interval coverage probability statistic, underlined that taking into account measurement errors in spatial modeling is an effective way to reduce the confidence interval of any estimate. These results suggest that it would be better to fix the nugget based on a preliminary test on the measurement error rather than to fix it based on the experimental variogram.

这项工作的目的是：（i）提出一种方法，该方法可从AWC实验室在同一地块的地平线上进行的几次测量中推断出该地块的局部可用水容量（AWC）， ii）检查测量误差对AWC的空间估计及其相关不确定性的影响。对于矿坑中确定的每个层位，都应在田间持水量和永久性枯萎点处确定水含量，从而确定AWC。在覆盖该样地的规则网格上进行了47次测深。对于每个测深，通过将测深范围与基坑水平进行匹配来估算AWC值。在14个地点的AWC实验室测量值用于验证47个本地估计值。相关系数，均值误差和均方根误差等统计数据有望在0.84、4.0 mm和17.5 mm处显示，分别。AWC的空间化是通过普通克里格法进行的，考虑或忽略了AWC的测量误差。AWC估算值的精确度可以使人们清楚地看到，考虑到测量误差后，估算值将更为精确。预测间隔覆盖概率统计量证实了这一结果，强调指出，在空间建模中考虑测量误差是减少任何估计的置信区间的有效方法。这些结果表明，最好是基于对测量误差的初步测试来固定块金，而不是基于实验变异图来固定块金。AWC估算值的精确度可以使人们清楚地看到，考虑到测量误差后，估算值将更为精确。预测间隔覆盖概率统计量证实了这一结果，强调指出，在空间建模中考虑测量误差是减少任何估计的置信区间的有效方法。这些结果表明，最好是基于对测量误差的初步测试来固定块金，而不是基于实验变异图来固定块金。AWC估算值的精确度可以使人们清楚地看到，考虑到测量误差后，估算值将更为精确。预测间隔覆盖概率统计量证实了这一结果，强调指出，在空间建模中考虑测量误差是减少任何估计的置信区间的有效方法。这些结果表明，最好是基于对测量误差的初步测试来固定块金，而不是基于实验变异图来固定块金。