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Updated European hydraulic pedotransfer functions with communicated uncertainties in the predicted variables (euptfv2)

机译:更新了欧洲液压网兜传输功能,具有预测变量的传达的不确定性(Euptfv2)

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Soil hydraulic properties are often derived indirectly, i.e. computed from easily available soil properties with pedotransfer functions (PTFs), when those are needed for catchment, regional or continental scale applications. When predicted soil hydraulic parameters are used for the modelling of the state and flux of water in soils, uncertainty of the computed values can provide more detailed information when drawing conclusions. The aim of this study was to update the previously published European PTFs (Tóth et al., 2015, euptf v1.4.0) by providing prediction uncertainty calculation built into the transfer functions. The new set of algorithms was derived for point predictions of soil water content at saturation (0?cm matric potential head), field capacity (both ? 100 and ? 330?cm matric potential head), wilting point ( ? 15?000?cm matric potential head), plant available water, and saturated hydraulic conductivity, as well as the Mualem–van Genuchten model parameters of the moisture retention and hydraulic conductivity curve. The minimum set of input properties for the prediction is soil depth and sand, silt and clay content. The effect of including additional information like soil organic carbon content, bulk density, calcium carbonate content, pH and cation exchange capacity were extensively analysed. The PTFs were derived adopting the random forest method. The advantage of the new PTFs is that they (i)?provide information about prediction uncertainty, (ii)?are significantly more accurate than the euptfv1, (iii)?can be applied for more predictor variable combinations than the euptfv1, 32 instead of 5, and (iv)?are now also derived for the prediction of water content at ? 100?cm matric potential head and plant available water content. A practical guidance on how to use the derived PTFs is provided.
机译:土壤液压特性通常间接地衍生,即,从易于可用的土壤性质计算,当集水区,区域或大陆尺度应用需要时,从易用的土壤性能(PTFS)。当预测的土壤液压参数用于土壤中水的状态和焊剂的建模时,计算值的不确定性可以在绘制结论时提供更详细的信息。本研究的目的是通过提供内置于传输函数的预测不确定性计算,更新先前发布的欧洲PTFS(Tóth等,2015,Euptf v1.4.0)。饱和度(0?CM Matric Position Head),现场容量(Δ100和?330?CM Matric Position Head),衰落点(兼延(Δ100,000≤CM),突出点(均为何种算法) Matric Position Head),植物可用水和饱和液压导电性,以及水分保留和水力导电曲线的Mualim-Van Genuchten模型参数。预测的最小输入属性集是土壤深度和砂,淤泥和粘土含量。包括土壤有机碳含量,堆积密度,碳酸钙含量,pH和阳离子交换能力等额外信息的效果被广泛分析。衍生PTFs采用随机森林方法。新的PTF的优势是它们(i)?提供有关预测不确定性的信息,(ii)?比EuptFv1,(iii)更准确,(iii)是比Euptfv1,32更预测的可变变量组合。代替5,和(iv)?现在也被推导用于预测水含量? 100?CM Matric Position Head和植物可用含水量。提供了有关如何使用派生PTF的实用指导。

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