首页> 外文期刊>Geoderma: An International Journal of Soil Science >Regionalization of soil water retention curves in a highly variable soilscape, II. Comparison of regionalization procedures using a pedotransfer function.
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Regionalization of soil water retention curves in a highly variable soilscape, II. Comparison of regionalization procedures using a pedotransfer function.

机译:在高度变化的土壤景观中土壤保水曲线的区域化,II。使用pedotransfer函数比较区域化过程。

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The regionalization of soil water retention curves (WRCs) with a pedotransfer function (PTF) was performed in two different ways: (i) interpolation of first the fundamental properties and applying the PTF to the interpolated data to predict the WRCs; and (ii) predicting first the WRCs by applying the PTF onto the point-wise measurements of the fundamental data, and then interpolating the WRCs. Both procedures were tested in a 1.5 km2 German soilscape (Entisols, Inceptisols, and Alfisols) with a high variability in parent material and land use. The fundamental properties were measured at the 450 nodes of a rectangular 50 X 50 m grid. The WRCs were measured at 17 irregularly distributed sites. A new PTF which had been adapted to the soilscape was used to predict the WRCs. Using procedure (i), the spatial variability of each fundamental property could be individually analysed and accounted for in the regionalization process. Thus, the root of the mean squared differences (RMSD) between the predictedand the observed water contents was 16% lower for procedure (i) than for procedure (ii). Considering the effect of land use by a residual variogram method reduced the standard deviation between predicted and observed values of organic C and bulk densityby 11 and 20%, respectively, as determined by cross-validation. The residual method produced more plausible spatial patterns of the soil water content at -300 and -15 000 hPa. As a result of the improved spatial patterns and the decrease in the regionalization error, procedure (i) was clearly superior to procedure (ii).
机译:用两种不同的方法将土壤保水曲线(WRC)进行了pedotransfer函数(PTF)分区:(i)首先对基本属性进行插值,并将PTF应用于插值数据以预测WRC。 (ii)首先通过将PTF应用于基础数据的逐点测量来预测WRC,然后对WRC进行插值。两种方法均在1.5 km2的德国土壤环境(Entisols,Inceptisols和Alfisols)中进行了测试,母本材料和土地使用的差异很大。基本特性是在矩形50 X 50 m网格的450个节点处测量的。在17个不规则分布的站点上测量了WRC。已使用一种适合土壤景观的新PTF来预测WRC。使用程序(i),可以对每个基本属性的空间变异性进行单独分析,并在区域化过程中加以考虑。因此,程序(i)的预测水含量与实测水含量之间的均方差(RMSD)的根比程序(ii)低16%。考虑到土地利用的残差变异函数法的影响,通过交叉验证确定,有机碳的预测值与实测值和堆积密度之间的标准差分别降低了11%和20%。残差法在-300和-15,000 hPa下产生了更合理的土壤水分空间格局。由于空间格局的改善和区域误差的减少,程序(i)明显优于程序(ii)。

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