基于土壤水分动态随机模型的土壤湿度概率密度函数研究进展

简要回顾和评述了几个典型土壤水分动态随机模型和相应的土壤湿度概率密度函数,并基于这些模型的模拟结果就系统随机波动、气候因素、土壤特性、植被条件、地形特征对稳定状态土壤湿度概率密度函数的影响分别进行了分析和讨论,同时还引用相关的实验结果对这些影响进行佐证.结果表明,土壤湿度概率密度函数对以上因子的响应非常敏感,对揭示土壤水分动态和诠释生态水文现象有很好的指导意义.指出未来土壤湿度概率密度函数的研究方向:开发更加逼近真实情况的随机模型;用土壤湿度概率密度函数的思想量化植被水分胁迫、耦合土壤水分动态与养分动态;对某一地区建立其土壤湿度概率密度函数,并用该函数指导其他相关的生态建设和研究.

Advances in research on soil moisture probability density functions obtained from models for stochastic soil moisture dynamics

This paper reviews on several typical models for the stochastic soil moisture dynamics and the corresponding soil moisture probability density functions(PDFs) derived analytically,and analyses the effects of random fluctuations,climates,soil,plants and terrain characteristics on soil moisture PDFs based on the modeling results.Meanwhile,some experiments are cited in the paper to validate the results obtained from the models.It is showed that the soil moisture PDFs,which response remarkably to all those mentioned factors,is an instrumental tool for revealing soil moisture dynamics and explaining ecohydrolical phenomena.The last part of this paper suggests areas worthy of further research: developing more realistic stochastic models,quantitative describing water stress on plants with stochastic models;coupling soil moisture dynamics and nutrient dynamics,and building soil moisture PDFs for a region and directing the related eco-hydrolical work and research with the established soil moisture PDFs.