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土壤水分运动是水文过程中的重要组成部分.熵概念将土壤水分运动的物理意义和统计学意义统一起来,并逐渐被应用于研究土壤水分的运动.但初始条件和边界条件对土壤水分运动熵演变的影响没有被充分考虑,简单地将熵演变看做单调增加过程.研究探讨了土壤水分的入渗过程和再分布过程在不同初始条件、边界条件影响下的信息熵演变特征.结果表明:1)不同土壤水分运动方式下,信息熵演变过程所呈现的特征曲线类型差异显著,初始含水率均匀、下边界无界的入渗过程和再分布过程,其熵演变分别以线性和对数形式单调增加.2)受初始条件和边界条件的影响,信息熵演变特征曲线的一致性和特征曲线类型都将发生改变,熵减小过程也会发生,进而导致系统的熵演变过程呈现多样化和复杂化.因此,运用熵理论研究土壤水分运动需要充分考虑水分运动方式、初始条件和边界条件对系统熵演变的综合影响.这样既能体现熵理论从统计学机理角度阐述土壤水分的动态变化,克服物理模型因测定水力学参数而大量耗时的不足,又能保证结果具有较高精度.
Soil moisture movement is an important part of the hydrological process.Entropy concept unifies the physical and statistical significance of soil water movement and is gradually applied to the study of soil water movement.However, the initial conditions and boundary conditions have a negative impact on the soil water movement entropy The influence of evolution is not fully considered and the evolution of entropy is simply regarded as the process of monotonous increase.The information entropy evolution characteristics of infiltration process and redistribution process of soil moisture under different initial conditions and boundary conditions are discussed.The results show that: 1) Under different soil moisture regimes, the characteristic curve types presented by the evolution of information entropy are significantly different. The infiltration process and redistribution process with uniform initial water cut, unbounded infiltration, and entropy evolution are monotone Increase.2) Under the influence of the initial conditions and the boundary conditions, the consistency of the information entropy evolution curve and the type of the characteristic curve will change, and the entropy reduction process will also occur, which leads to the diversity and complexity of the entropy evolution process of the system Therefore, the use of entropy theory of soil moisture movement need to fully consider the water movement, the initial bar And boundary conditions on the evolution of system entropy, which not only embodies the theory of entropy from the statistical point of view of the dynamic changes of soil moisture to overcome the physical model due to the determination of hydraulic parameters and a lot of time-consuming issues, but also to ensure that the results have more High precision.