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Quantitative Two-Layer Inversion and Customizable Sensor-Array Instrument for Electromagnetic Induction based Soil Conductivity Estimation

机译:基于电磁感应的土壤电导率估算的定量两层反演和可定制传感器阵列仪器

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摘要

Electromagnetic (EM) measurement methods oer the great potential to non-invasively andcontactlessly obtain geological and hydrological soil properties of the uppermost six meters ofthe subsurface with an areal resolution in the sub-meter range. The presented work is focusedon small-sized frequency domain `electromagnetic induction' (EMI) systems which combinethe transmitter (Tx) and receiver (Rx) unit in one portable construction and obtain the apparentelectrical conductivity (a) of the sensed soil volume by inducing electrical currentsand measuring the responding electromagnetic eld. The sensing depth of EMI instrumentsdepends on the sensor conguration and in particular the coil orientation and Tx{Rx separation.In principle, multi-conguration EMI data can be inverted for the electrical conductivitydistribution over depth. However, there is a demand for ecient inversion algorithms andhigh-quality EMI data from dierent sensing depths to perform such an inversion.Here, a novel one-dimensional global-local inversion approach is implemented which evaluatesthe mist between EMI data and forward modeled data for a two-layer soil using a L1-normobjective function. The global approach is based on a grid search for reasonable modelparameters in combination with the local-sensitivity forward model. The two soil modelswith the smallest mist are rened using the (local) simplex search algorithm with the moreprecise full solution electromagnetic forward model. The algorithm is analyzed using syntheticEMI data. Applying the inversion on quantitative EMI transect data from two commercialdevices with eight dierent sensor congurations results in a two-layer electrical conductivitymodel with lateral and vertical conductivity changes that are in good agreement with acollocated electrical resistivity tomography data set.To improve the depth-resolution beyond available xed congurations, a novel EMI prototypesystem (ElMa1) with customizable sensor-array is developed, containing multiple modularsensor units which can be exibly arranged by the operator for each survey, ensuring optimaldepth-sensitivity (i.e. coil orientations and Tx{Rx separations) for the specic investigation.The sensor units consist of coil-based transmitter and receiver circuits which allow for themeasurement of the magnetic ux and the sensor impedance in a frequency range between3 and 33 kHz, respectively. To allow for exible sensor congurations, data processing andsignal optimization, the transmitter current and the receiver voltages are separately digitizedusing 24-bit analog-to-digital converters (ADC's) which provide a high dynamic range andphase stability. For a measurement time of 0.5 s, the ElMa1 system achieves an instrumentala-accuracy of 1 mS/m at 20 kHz for the intended Tx{Rx separation of 1.0 m and anaccuracy of 10 mS/m for a less favorable conguration with smaller Tx{Rx separation of0.3 m and smaller measurement frequency of 5 kHz, both observed under stable temperatureconditions. In addition, experimental data were corrected for temperature-induced systemdrifts by simulating the electrical circuit of the sensor system using spectral measurements ....
机译:电磁(EM)测量方法具有非侵入性和非接触式获得地下六米以下区域的地质和水文土壤特性的巨大潜力,其区域分辨率在亚米范围内。提出的工作集中在小型频域“电磁感应”(EMI)系统上,该系统在一个便携式结构中结合了发射器(Tx)和接收器(Rx)单元,并通过感应电来获得被测土壤体积的表观电导率(a)电流并测量响应的电磁场。 EMI仪器的感测深度取决于传感器的配置,尤其是线圈的方向和Tx {Rx的距离。原则上,可以将多配置EMI数据取反,以实现深度上的电导率分布。然而,需要从不同的感应深度获得有效的反演算法和高质量EMI数据来执行这种反演。在此,实现了一种新颖的一维全局局部反演方法,该方法可评估EMI数据和正向建模数据之间的雾使用L1规范目标函数的两层土壤。全局方法基于结合局部敏感性正向模型的合理模型参数的网格搜索。使用(局部)单纯形搜索算法和更精确的全解电磁正向模型对两个雾量最小的土壤模型进行修正。使用合成EMI数据分析该算法。将反转应用于来自两个具有八种不同传感器配置的商用设备的定量EMI横断面数据,将得到一个具有横向和纵向电导率变化的两层电导率模型,这与并列的电阻率层析成像数据集非常吻合。在现有的固定配置下,开发了带有可定制传感器阵列的新型EMI原型系统(ElMa1),其中包含多个模块化传感器单元,操作员可以针对每次测量灵活地对其进行排列,从而确保最佳的深度灵敏度(即线圈方向和Tx {Rx间隔)传感器单元由基于线圈的发射器和接收器电路组成,可以分别测量3至33 kHz频率范围内的磁通量和传感器阻抗。为了实现灵活的传感器配置,数据处理和信号优化,使用提供高动态范围和相位稳定性的24位模数转换器(ADC)将发送器电流和接收器电压分别数字化。对于0.5 s的测量时间,ElMa1系统在20 kHz的预期Tx {Rx间隔为1.0 m时,仪器精度达到1 mS / m,对于Tx较小的有利配置,精度为10 mS / m。 Rx间隔为0.3 m,较小的测量频率为5 kHz,均在稳定的温度条件下观察到。此外,通过使用光谱测量模拟传感器系统的电路,针对温度引起的系统漂移对实验数据进行了校正。

著录项

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    Mester Achim;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 eng
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