Soil Infiltration Rates and Hydrology Model Classifications Based on the Hausdorff Fractal Derivative Richards Equation
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摘要: 基于Hausdorff(豪斯道夫)分形导数Richards方程,推导了土壤入渗率与时间的关系。该模型仅有两个参数,其中Hausdorff分形导数的阶数α能够表征水分在土壤中扩散环境的力学特征,刻画土壤结构的非均质性质,而土壤孔径分布指标λ决定了不同水文模型的类型。通过两个算例,观察到当Hausdorff导数的分形维α≠1时,入渗率表现出一定的记忆性,即α的值越小,入渗率随时间的变化越慢,记忆性越强;且同时反映出水分入渗的扩散环境愈加偏离经典模型的理想状态.土壤孔径分布指标λ的值越小,土壤水分渗透的速率越慢,该参数是反映土壤渗流特征的一个基本指标.
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关键词:
- Hausdorff分形导数 /
- Richards方程 /
- 反常渗透 /
- 土壤入渗率 /
- 径流曲线数模型
Abstract: The time-dependent soil infiltration rate was derived based on the Hausdorff fractal derivative Richards equation. This model requires only 2 parameters, among which the Hausdorff derivative order characterizes the underlying water transport environment property in heterogeneous soil, while the pore size distribution index categorizes different hydrological models. Two applications show that a fractal order α≠1 of the Hausdorff derivative indicates the history-dependent process. Namely, a lower α exhibits slower decay of the infiltration rate with time evolution, reflecting stronger memory and further departure from the classical integer-order models. It is also observed that a smaller pore size distribution index indicates slower decay of the infiltration rate, making a fundamental index of soil infiltration. -
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