基于非均匀性和分形维数的黄土优先流特征定量分析

    Quantitative determination of preferential flow characteristics of loess based on nonuniformity and fractional dimension

    • 摘要: 该文以陕西泾阳南塬边坡黄土为例开展示踪剂试验,通过改进的优先流入渗深度和入渗量非均匀性系数,研究黄土优先流的入渗量、入渗深度、含水率、孔隙率、分形等参数的相互关系及其内在规律。结果表明:1)入渗量越大,优先流入渗深度的非均匀性越明显;2)初始含水率越高,优先流发育程度越低,而湿润锋迹线的分形维数越小;3)黄土孔隙率越大,优先流入渗深度的非均匀性越明显,且入渗深度值波动范围也相对较大;4)同一类型的黄土,其试验尺度大小对湿润锋迹线的分形维数没有明显影响;5)在0.5倍黄土优先流最大入渗深度范围内,分形特征值越大,优先流非均匀程度越强,优先流越发育;6)在没有明显优先流渗流通道情况下,90 mm地表灌溉水量,其最大入渗深度不超过120 cm。考虑正常蒸发和没有裂缝的前提下,地表灌溉水并不容易直接导致地下水位上升。由此推断,优先流在地表水向地下水转换过程中发挥着重要作用。同时,优先流对黄土滑坡的影响不容忽视。研究可为深入揭示黄土优先流渗流特征与黄土优先流滑坡的内在联系提供依据。

       

      Abstract: Abstract: Understanding the seepage characteristics of loess preferential flow is important for loess landslide risk control. In order to study the seepage characteristics of loess preferential flow, in this study, eight test pits were designed in 2 regions of the abandoned farmland in Nanyuan Dongfeng village, Jingyan county, China (108°50′48″E, 34°29′25″N). The soil was developed in loess parent material. In each region, soil texture was homogenous without obvious macropore and cracks. The test pits were labeled with 1#-8#. In region I, the first 3 pits had same size, but different designed infiltration amount with 30, 60 and 90 mm, respectively. The 4# pit was similar with the 2# pit, but the former had high initial soil moisture. The 5#, 6# and 7# were same with 1#, 2# and 3#, respectively but in the region II. The 8# pit was similar with 4#, but had a bigger size. The dye tracer method was conducted and the soil profile was pictured. The images after binarization were used for preferential flow characteristics analysis. The infiltration depth and amount non-homogeneous coeffeicients were determined. The fractal dimension and fractal feature parameter were also determined. The results showed that infiltration had an obvious impact on the infiltration depth. The nonuniformity of the preferential flow infiltration depth became more obvious with increasing infiltration. However, the nonuniformity of the preferential flow infiltration depth was less obvious when the initial moisture content was high. The development of the preferential flow was lower, its velocity was higher, the average infiltration was greater and the fractal dimension was smaller. The loess porosity size also significantly influenced the correlation coefficient of the preferential flow infiltration depth. The nonuniformity of the infiltration coefficient and the nonuniformity of the preferential flow infiltration depth became more obvious and the fluctuation range of depth thresholds was greater when porosity increased. The test scale of loess for the same treatment did not show an appreciable effect on the fractal dimension of the wet peak trace. Within the 0-0.5 times of maximum infiltration depth of preferential flow in southern tableland in Jingyang County, when the value of the fractal characteristic was high, the nonuniformity of the preferential flow was higher, and the preferential flow was more developed. Without obvious preferential flow seepage channel, the maximum infiltration depth was less than 120 cm under irrigation water volume of 90 mm. Considering normal evaporation and no crack, we considered that the surface irrigation water was not easy to directly lead to the rise of ground water level. Therefore, the preferential flow plays an important role in the whole process from the surface water to the groundwater. At the same time, the influence of preferential flow on loess landslide should not be ignored.

       

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