利用GPR早期信号振幅属性监测土壤含水率
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S152.7

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新疆能源2030项目生态修复项目(GJNY2030XDXM-19-03.2)、陕煤集团重大项目(2018SMHKJ-A-J-03)和校青年基金项目(贵大人基合字2014(62)号)资助。


Monitoring Soil Moisture Content Using Early-signal of GPR Amplitude
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Research on Ecological Restoration and Protection of Coal Base in Arid Ecological Fragile Area, Project No. GJNY2030XDXM-19-03.2; Shaanxi Coal Group Major Project: Research and Demonstration of Key Technologies for Water Resources Protection and Utilization and Ecological Reconstruction in North Shaanxi Coal Mining Area (2018SMHKJ-AJ-03) ; Guida Renji Hezi (2014) No. 62

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    摘要:

    为了研究GPR早期信号振幅属性与土壤含水率的关系,建立物理模型并配制了7组不同含水率的土壤,采用300、400和900 MHz GPR天线进行探测。选取GPR第一峰值信号、第一正半周期、第一半周期3种典型时段早期信号,利用希尔伯特变换计算平均振幅包络并求倒数,与烘干法测量所得土壤含水率结果进行对比,拟合出平均振幅包络倒数与土壤含水率之间的关系式。3种典型早期信号的振幅包络的倒数与土壤体积含水率均为线性相关,相关系数分别为0.883、0.926、0.867,其中第一正半周期内的振幅包络的倒数与土壤体积含水率拟合效果最好,含水率平均相对标准差为0.483%,通过土壤介电常数试验结合Topp公式计算得到的体积含水率与实测体积含水率平均相对标准差为1.069%。结果表明利用平均振幅包络倒数法研究第一正半周期内雷达波平均振幅包络倒数得到的土壤含水率较为精确。

    Abstract:

    In order to study the relationship between the amplitude of the early-time-signal of GPR and the soil moisture content, a physical model was established and seven groups of soils with different water contents were prepared. 300, 400, and 900 MHz GPR antennas were used for detection. Three typical periods of the early-time-signals of GPR (first signal onset, first positive half cycle and first half cycle) were selected to calculate volume moisture. Firstly, Hilbert transform was used to calculate the envelop amplitude, then the reciprocal of their average of the three corresponding periods were calculated respectively, finally the relationship between the reciprocal of the average envelope amplitude and the results of moisture measured by the drying method were fitted. All fitting results showed linear correlation and the correlation coefficients were 0.883, 0.926 and 0.867, respectively. But the reciprocal of the amplitude envelope in the first positive half cycle had the best fitting effect with soil volume moisture, and it’s average relative error of moisture content was 0.483%, the average relative standard deviation between volume moisture calculated by the soil dielectric constant test and the Topp formula and the measured volume moisture was 1.069%. In conclusion, it is more accurate to predict the moisture of soil by studying the reciprocal of the radar wave average envelope amplitude in the first positive half cycle with the AEA method.

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吕恒,聂俊丽,王智慧,张力文,窦勇硕.利用GPR早期信号振幅属性监测土壤含水率[J].土壤,2022,54(1):169-176. Lü Heng, NIE Junli, WANG Zhihui, ZHANG Liwen, DOU Yongshuo. Monitoring Soil Moisture Content Using Early-signal of GPR Amplitude[J]. Soils,2022,54(1):169-176

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  • 收稿日期:2020-09-17
  • 最后修改日期:2021-05-17
  • 录用日期:2021-05-24
  • 在线发布日期: 2022-02-11
  • 出版日期: