Experimental Research on Relationship between Resistivity and Moisture Content of Unsaturated Loess
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摘要: 通过土壤电阻率和土壤含水率的关系,可以将高密度电法测得的土壤电阻率剖面快速转化为含水率剖面,对于土壤含水率的连续性监测具有重要意义。笔者以甘肃永靖黑方台非饱和黄土为研究对象,采用四电极法进行了室内一维电阻率试验,分析了电阻率的时间特性,提高了黄土电阻率测试的精度,建立了黑方台黄土电阻率与其含水率之间的关系。结果表明,同一干密度条件下,在黄土吸湿和脱湿过程中,黄土的含水率与电阻率呈指数关系,脱湿和吸湿过程均具有较好的相关性,在含水率不断增加的过程中,土体的电阻率逐渐减小。在不同干密度条件下,黄土的电阻率和含水率具有较好的相关性,且随着含水率的增大,电阻率值逐渐减小直至趋于稳定,随着干密度的增大,土体对水分的敏感性有所降低。Abstract: Based on the relationship between soil resistivity and soil moisture content, the soil resistivity profile measured by high density electrical method can be quickly transformed into water content profile, which is of great significance for the continuous monitoring of soil moisture content. In this paper, the unsaturated loess in Heifangtai, Yongjing, Gansu Province is taken as the research object. The indoor one-dimensional resistivity test is carried out by four electrode method. The time characteristics of the resistivity are analyzed, the accuracy of the Loess resistivity test is improved, and the relationship between the resistivity and water content of the loess in Heifangtai is established. The results show that under the same dry density, in the process of moisture absorption and dehumidification, the moisture content and resistivity of loess show an exponential relationship, and both of them have a good correlation. In the process of increasing moisture content, the resistivity of soil decreases gradually. Under different dry density conditions, the resistivity and water content of loess have a good correlation, and with the increase of water content, the resistivity value gradually decreases until it tends to be stable. With the increase of dry density, the sensitivity of soil to water decreases.
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Keywords:
- soil moisture content /
- soil resistivity /
- moisture content monitoring /
- loess
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董英, 孙萍萍, 张茂省, 等. 诱发滑坡的地下水流系统响应历史与趋势-以甘肃黑方台灌区为例[J]. 地质通报, 2013, 32(6):868-874. DONG Ying, SUN Pingping, ZHANG Maosheng, et al. The response of regional groundwater system to irrigation at Heifangtai terrace, Gansu Province[J]. Geological Bulletin of China, 2013, 32(6):868-874.
冯立,张茂省, 孙萍萍, 等. 非饱和土脱湿与吸湿水力特性对比研究[J]. 水文地质工程地质, 2016, 43(2):134-139. FENG Li, ZHANG Maosheng, SUN Pingping, et al.A study of the hydro-mechanical properties of unsaturated loess under the drying and wetting path[J]. Hydrogeology & Engineering Geology, 2016, 43(2):134-139.
高君亮, 马迎宾, 罗凤敏, 等. 基于电阻率成像的沙地土壤水分监测技术[J]. 干旱区资源与环境, 2019, 33(1):192-198. GAO Junliang, MA Yingbin, LUO Fengmin, et al. The monitoring technology of soil water content in sandy land based on electrical resistivity tomography[J]. Journal of Arid Land Resources and Environment, 2019, 33(1):192-198.
谷天峰, 朱立峰, 胡炜, 等. 灌溉引起地下水位上升对斜坡稳定性的影响-以甘肃黑方台为例[J]. 现代地质, 2015, 29(2):408-413. GU Tianfeng, ZHU Lifeng, HU Wei, et al. Effect on slope stability due to groundwater rising caused by irrigation:A case study of Heifang platform in Gansu. China[J]. Geoscience, 2015, 29(2):408-413.
黄润秋. 20世纪以来中国的大型滑坡及其发生机制[J]. 岩石力学与工程学报, 2007, 26(3):433-454. HUANG Runqiu. Large-Scale Landslides and Their Sliding Mechanisms in China Since the 20th century[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(3):433-454.
刘国华, 王振宇, 黄建平. 土的电阻率特性及其工程应用研究[J]. 岩土工程学报, 2004, 26(1):83-87. LIU Guohua, WANG Zhenyu, HUANG Jianping.Research on electrical resistivity feature of soil and it's application[J]. Chinese Journal of Geotechnical Engineering, 2004, 26(1):83-87.
刘松玉, 查甫生, 于小军. 土的电阻率室内测试技术研究[J]. 工程地质学报, 2006, 14(2):216-222. LIU Songyu, ZHA Fusheng, YU Xiaojun.Laboratory Measurement Techniques of the Electrical Resistivity of Soils[J]. Journal of Engineering Geology, 2006, 14(2):216-222.
刘志彬, 张勇, 方伟, 等. 黄土电阻率与其压实特性间关系试验研究[J]. 西安科技大学学报, 2013, 33(1):84-90. LIU Zhibin, ZHANG Yong, FANG Wei, et al. Experimental research on relationship between electrical resistivity and compactibility of loess[J]. Journal of Xi'an University of Science and Technology, 2013, 33(1):84-90.
孙满利,付菲, 沈云霞. 土的含水率测定方法综述[J]. 西北大学学报(自然科学版), 2019, 49(2):219-229. SUN Manli, FU Fei, SHEN Yunxia.Review on soil moisture content measurement methods[J]. Journal of Northwest University (Natural Science Edition), 2019, 49(2):219-229.
孙萍萍, 张茂省, 冯立, 等. 黄土水敏性及其时空分布规律[J]. 西北地质, 2019, 52(2):117-124. SUN Pingping, ZHANG Maosheng, FENG Li, et al.Water Sensitivity of Loess and Its Spatial-Temporal Distribution on the Loess Plateau[J]. Northwestern Geology, 2019, 52(2):117-124.
田中英,张茂省, 冯立, 等. 基于综合物探的黄土滑坡优势通道探测[J]. 西北地质, 2019, 52(2):172-180. TIAN Zhongying, ZHANG Maosheng, FENG Li, et al. Preferential Passage Detection of Loess Landslide Based on Integrated Geophysical Exploration[J]. Northwestern Geology, 2019, 52(2):172-180.
王潇, 杨博, 谷天峰, 等. 甘肃黑方台黄土压缩试验研究[J]. 陕西理工大学学报(自然科学版), 2018, 34(2):16-20. WANG Xiao, YANG Bo, GU Tianfeng, et al.Experimental study on Loess compression in Heifangtai, Gansu Province[J]. Journal of Shaanxi University of Technology (Natural Science Edition), 2018, 34(2):16-20.
许领, 戴福初, 邝国麟, 等. 黑方台黄土滑坡类型与发育规律[J]. 山地学报, 2008, 26(3):364-371. XU Ling, DAI Fuchu,KUANG Guolin, et al. Types and Characteristics of Loess Landslides at Heifangtai Loess Plateau, China[J]. Journal of Mountain Science, 2008, 26(3):364-371.
许强, 彭大雷,亓星, 等. 2015年4.29甘肃黑方台党川2#滑坡基本特征与成因机理研究[J]. 工程地质学报, 2016, 24(2):167-180. XU Qiang, PENG Dalei, QI Xing, et al.Dangchuan 2# landslide of april 29, 2015 in heifangtai area of gansu province:characteristices and failure mechanism[J]. Journal of Engineering Geology, 2016, 24(2):167-180.
张茂省, 李同录. 黄土滑坡诱发因素及其形成机理研究[J]. 工程地质学报, 2011, 19(4):530-540. ZHANG Maosheng, LI Tonglu.Triggering factors and forming mechanism of loess landslides[J]. Journal of Engineering Geology, 2011, 19(4):530-540.
周蜜, 王建国,黄松波, 等. 土壤电阻率测量影响因素的试验研究[J]. 岩土力学,2011(11):74-80. ZHOU Mi, WANG Jianguo, HUANG Songbo, et al. Experimental investigation on influencing factors in soil resistivity measurement[J]. Rock and Soil Mechanics, 2011, 32(11):3269-3275.
DICK J, TETZLAFF D, BRADFORD J, et al. Using repeat electrical resistivity surveys to assess heterogeneity in soil moisture dynamics under contrasting vegetation types[J]. Journal of Hydrology, 2018, 559:684-697.
GU T F, ZHANG M F, WANG J D, et al. Slope edge irrigation and slope stability:Heifangtai platform, Gansu province, China[J]. Engineering Geology, 2019, 248(8):346-356.
HERMAN, RHETT. An introduction to electrical resistivity in geophysics[J]. American Journal of Physics, 2001, 69(9):943.
KALINSKI R J, KELLY W E. Electrical-Resistivity Measurements For Evaluating Compacted-Soil Liners[J]. Journal of Geotechnical Engineering, 1994, 120(2):451-457.
SCHWARTZ B F, SCHREIBER M E, Yan T. Quantifying field-scale soil moisture using electrical resistivity imaging[J]. Journal of Hydrology (Amsterdam), 2008, 362(4):234-246.
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