首页> 外文期刊>Vadose zone journal VZJ >Modeling Water Potentials and Flows in the Soil–Plant System Comparing Hydraulic Resistances and Transpiration Reduction Functions
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Modeling Water Potentials and Flows in the Soil–Plant System Comparing Hydraulic Resistances and Transpiration Reduction Functions

机译:在土壤-植物系统中模拟水势和水流,比较水力阻力和蒸腾作用

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Transpiration reduction functions are often used in hydrological modeling to estimate actual transpiration as a function of soil water status. Empirical reduction functions are most frequently used due to the higher data needs and computational requirements of mechanistic models. Empirical models, however, lack a description of physical mechanisms and their parameters require extensive calibration. We derive a process-based reduction function predicting system potentials, resistances, and water flows. An analytical solution for a special case of Brooks and Corey soils is presented. A numerical version of the reduction function for van Genuchten soils was implemented in the Soil–Water–Atmosphere–Plant (SWAP) hydrological model, allowing predictions for layered soil profiles and root length density variations over depth. The analytical and numerical versions of the model allow an increasingly quantitative insight into the mechanism of root water uptake, such as the existence of a maximum root water uptake rate as a function of soil water status, soil hydraulic properties, root length density, and root radius, in addition to the fact that sensitivity of simulated root water uptake to the radial root conductivity and axial conductance decrease whenroot length density increases. The approach can be used for the estimation of threshold values for empirical reduction functions.
机译:减少蒸腾作用的函数通常用于水文模型中,以根据土壤水分状况估算实际的蒸腾作用。由于对机械模型的更高数据需求和计算要求,经验归约函数最常用。但是,经验模型缺乏对物理机制的描述,其参数需要广泛的校准。我们推导出基于过程的还原函数,预测系统的电势,阻力和水流。给出了布鲁克斯和科里土壤特殊情况的解析解。在土壤-水-大气-植物(SWAP)水文模型中实现了范Genuchten土壤还原函数的数字版本,从而可以预测层状土壤剖面和根深度密度随深度的变化。该模型的分析和数值版本允许越来越多地定量了解根系吸水机理,例如最大根系吸水率与土壤水分状况,土壤水力学特性,根长密度和根系的关系。此外,当根部长度密度增加时,模拟根系水分吸收对径向根系电导率和轴向电导率的敏感性也会降低。该方法可以用于经验归约函数的阈值的估计。

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