森林植被影响径流形成机制研究进展

径流形成机制研究在水文学领域中具有十分重要的意义,且受到越来越广泛的重视。水文环境以及水文通量的空间异质性和时间变化性导致了水文过程的尺度依赖性和非线性特征,没有对水文过程较为清晰的认识,就不能将某一地区某一流域森林植被变化水文生态效应的研究结果简单地外推到其他地区和其他流域。开发基于物理过程分布式参数水文模型可以为认识森林植被变化的生态学后效和客观评价森林植被水文生态效益提供可行的工具。但是要实现这一目标,研究森林植被影响径流形成机制是问题的核心所在。另一方面,认识森林影响径流形成机制有助于研究水文学中的尺度问题。研究森林植被影响径流形成机制的主要方法包括水文测验、同位素示踪和动力水文学计算等,研究的空间尺度则为坡面与流域相接合。从已有的研究成果来看,森林植被影响径流形成机制可以概括为:①森林流域径流形成为变动源区产流机制;②森林流域径流形成主要受饱和地表径流、亚表层径流和地下径流的控制;③森林流域径流形成机制是相互作用和相互转化的;④优先流在森林流域径流形成中起到了至关重要的作用。     

坡面林地土壤水分特征函数空间变异性初探

土壤水分特征函数空间异质性是定量研究土壤非饱和带水分运动以及溶质运移的先决条件. 以坡面机械布点采样、压力膜仪测定土壤水分特征曲线,并以Van-Genuchten模型拟合曲线后,用传统的统计方法与地统计方法,分析了密云水库流域周边人工油松林坡面土壤水分特征函数空间异质性. 结果表明:①不同土壤层各级压力下土壤含水量变异系数(C_v)呈中等变异性,C_v为10%～25%,土壤有效饱和度越低,变异性C_v越大,计算合理取样数目越大. ②模型参数θ_s为中等变异,C_v为17.77%～18.12%,服从正态分布;参数α为强变异性,C_v为70.65%～120.91%;参数n为弱变异性,C_v为5.29%～7.09%. ③各土壤层参数θ_s和α均具有空间变异结构,除20～40 cm层参数α符合指数模型外,其余层参数均符合球状模型,参数θ_s和α变程(A)分别约为66～69及21～69 m;参数n仅在20～40 cm土壤层显示空间变异结构,符合球状模型,变程(A)约为18 m;整体上该林地土壤0～20和20～40 cm层参数多以结构性变异为主,40～60 cm层参数的块金效应渐显增大. 最后采用Kriging插值方法分别对各参数进行了预测.      

Water and nitrate fluxes at a forest site in the North Tyrolean Limestone Alps

The water balance for the site Mühleggerköpfl in the North Tyrolean Limestone Alps has been established to a soil depth of 50 cm. The evaporation amounts to 42% and deep percolation is 58 % of the precipitation. The surface runoff was negligible and therefore the according nitrate fluxes as well. Soil water analysis revealed mean nitrate concentrations of 3 to 15 mg NO₃ L⁻¹, depending on soil depth. The nitrate concentrations at 50 cm soil depth and the associated percolation rates led to NO₂ ⁻N outputs of 15.9 kg NO₃ ⁻N ha⁻¹ in the year 1999 and 7.9 kg NO₃ ^∼N ha⁻¹ in the year 2000.

     

Evaluation of the MIKE SHE Model for Application in the Loess Plateau,China1

Abstract: Quantifying the hydrologic responses to land use/land cover change and climate variability is essential for integrated sustainable watershed management in water limited regions such as the Loess Plateau in Northwestern China where an adaptive watershed management approach is being implemented. Traditional empirical modeling approach to quantifying the accumulated hydrologic effects of watershed management is limited due to its complex nature of soil and water conservation practices (e.g., biological, structural, and agricultural measures) in the region. Therefore, the objective of this study was to evaluate the ability of the distributed hydrologic model, MIKE SHE to simulate basin runoff. Streamflow data measured from an overland flow‐dominant watershed (12 km²) in northwestern China were used for model evaluation. Model calibration and validation suggested that the model could capture the dominant runoff process of the small watershed. We found that the physically based model required calibration at appropriate scales and estimated model parameters were influenced by both temporal and spatial scales of input data. We concluded that the model was useful for understanding the rainfall‐runoff mechanisms. However, more measured data with higher temporal resolution are needed to further test the model for regional applications.