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含植物根系黄土的非饱和水力特性及其对降雨入渗规律的影响

Unsaturated Hydraulic Characteristics of Loess with Plant Roots and Its Influence on Rainfall Infiltration Law

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【作者】 米章鹏; 张常亮; 王中文; 李聪; 李同录;

【Author】 MI Zhangpeng;ZHANG Changliang;WANG Zhongwen;LI Cong;LI Tonglu;College of Geology Engineering and Geomatics, Chang’an University;Field Observation and Research Station for Water Cycle and Geological Environment of the Chinese Loess Plateau,Ministry of Education;

【机构】 长安大学地质工程与测绘学院地质工程系; 黄土高原水循环与地质环境教育部野外观测研究站;

【摘要】 为研究植物根系对非饱和黄土水力特性及其降雨入渗规律的影响,以含灌木类植物柠条根系的重塑黄土土样为研究对象,采用滤纸法测定了三种含根系土样在不同含水率下的基质吸力,并采用Fredlund&Xing(FX)模型拟合土水特征曲线及非饱和渗透系数曲线,揭示了含植物根系黄土的非饱和水力特性。结合实际工程案例,利用GeoStudio数值模拟软件对含根系黄土降雨入渗规律进行了模拟分析。结果表明,植物根系显著改变了土体的土水特性及渗透特性,尤其在低基质吸力区段,根系的存在使渗透系数明显增大。降雨入渗模拟结果显示,含根系土体模型的模拟结果较裸土模型更接近实际观测数据。此外,植物根系对土体水分分布也产生影响,根系存在处及其与裸土的过渡区出现水分沉积,导致含水率峰值现象,该现象与实测结果高度一致。

【Abstract】 This study examines the influence of plant roots on the hydraulic properties and rainfall infiltration behavior of unsaturated loess. Reconstituted loess samples containing Caragana roots were used as test materials.The matrix suction of three types of root-containing samples under different water contents was measured using the filter paper method. The soil-water characteristic curves and unsaturated hydraulic conductivity curves were fitted using the Fredlund and Xing(FX) model to characterize the hydraulic behavior of root-affected loess under unsaturated conditions. Numerical simulations of rainfall infiltration in root-containing loess were performed using GeoStudio software based on field data. The results indicate that plant roots significantly modify soil-water retention and permeability, particularly enhancing hydraulic conductivity at low matrix suctions. Infiltration simulation results for root-containing soils exhibit closer agreement with observed data than those for bare soils. Furthermore, the presence of roots alters soil moisture distribution, leading to water accumulation and higher moisture content near the root-soil interface, which is consistent with field observations.

【基金】 陕西省自然科学基础研究基金资助项目(2023JCYB225)
  • 【分类号】P642.131
  • 【下载频次】226
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