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Evaluation of a Permittivity Sensor for Continuous Monitoring of Suspended Sediment Concentration

机译:用于连续监测悬浮泥沙浓度的介电常数传感器的评估

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Due to the large spatial and temporal variations inherent in sediment transport, suspended sediment measurement is challenging. The overall goal of this research was to develop an inexpensive sensor for continuous suspended sediment monitoring in streams. Specifically, this study determined if the gain and phase components of permittivity could be used to predict suspended sediment concentrations (SSC). A permittivity sensor, comprised of an electrode, power source, and a control box or frequency generator, was constructed and tested using kaolinite suspension at concentrations of 0, 500, 1000, 2000, 3000, 4000, and 5000 mg L~(-1). The impact of temperature (10° C, 20° C, and 30° C) and specific conductivity (0, 250, and 500 juS cm~(-1)) on sensor gain and/or phase output at multiple frequencies was also evaluated. Partial least squares (PLS) regression techniques were applied to gain and phase data for 127 frequencies ranging from 50 Hz to 120 MHz. The three models with the lowest error betweenpredicted and actual SSC values for validation were further tested with nine levels of independent Validation data. The largest model error (error > 50%) occurred at 0 and 500 mgL~(-1). As SSC concentrations approached 1000 mg L~(-1), the prediction accuracy increased for the top three models; error varied from 1% to 45%) at concentrations of 1000 to 5000 mg L~(-1). Model 3A, a phase-based model, preformed the best. Model 3A was able to predict six of the nine independent validation treatment levels towithin 300 mgL~(-1). Future research will provide additional laboratory and field testing of the prototype sensor.
机译:由于泥沙输送固有的时空变化,悬浮泥沙的测量具有挑战性。这项研究的总体目标是开发一种廉价的传感器,用于连续监测河流中的悬浮沉积物。具体而言,这项研究确定了介电常数的增益和相位分量是否可用于预测悬浮沉积物浓度(SSC)。使用高岭石悬浮液以0、500、1000、2000、3000、4000和5000 mg L〜(-1)的浓度构造和测试由电极,电源和控制箱或频率发生器组成的介电常数传感器)。还评估了温度(10°C,20°C和30°C)和比电导率(0、250和500 juS cm〜(-1))对传感器增益和/或在多个频率下输出的相位的影响。将偏最小二乘(PLS)回归技术应用于50 Hz至120 MHz范围内的127个频率的增益和相位数据。在三个用于验证的预测值与实际SSC值之间误差最小的模型中,使用九个级别的独立验证数据进行了进一步测试。最大的模型误差(误差> 50%)出现在0和500 mgL〜(-1)。当SSC浓度接近1000 mg L〜(-1)时,对前三个模型的预测准确度增加。浓度在1000至5000 mg L〜(-1)时误差在1%至45%之间。基于阶段的模型3A模型是最佳模型。模型3A能够预测300 mgL〜(-1)内的九种独立验证治疗水平中的六种。未来的研究将提供原型传感器的其他实验室和现场测试。

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