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Characterization of Heavy Metal Contaminated Wastewater using a Coaxial Sensor and Electromagnetic Wave Reflection Technique

机译:同轴传感器和电磁波反射技术的重金属污染废水的表征

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Industrial wastewater control is an important issue for protection of the environment. Liquid characterization using radio frequency signal is an interesting approach for selective detection of heavy metal contaminants in industrial wastewater. A simple sensor based on openended coaxial structure filled with the liquid under test is proposed. Liquid samples for the experiments are copper, zinc and nickel solutions with various concentrations of 1, 10, 100 and 1000 mg/liter each. From the measurement results using a vector network analyzer (VNA) in combination with the proposed sensor, the concentration of a specific contaminant can be determined by the magnitude of the measured reflection coefficient in a frequency range lower than 2 GHz. Applying a capacitive model of the sensor, complex permittivity of the liquid under test can be calculated from the measured reflection coefficient. Obvious relationship between the imaginary part of complex permittivity and the concentration of contaminant in a frequency range lower than 2 GHz was observed. The type of contaminants in the liquid samples can be identified by the position of the resonant peaks when the magnitude of reflection coefficient is plotted in the spectrum. The frequency range for contaminant's identification lies between 2 and 3 GHz.
机译:工业废水控制是保护环境的重要问题。利用射频信号的液体表征是一种有趣的方法,用于在工业废水中选择重金属污染物的选择性检测。提出了一种基于填充有液体的开发同轴结构的简单传感器。实验的液体样品是铜,锌和镍溶液,各种浓度为1,10,100和1000mg /升。从使用矢量网络分析器(VNA)与所提出的传感器的测量结果,特定污染物的浓度可以通过测量的反射系数在低于2GHz的频率范围内确定。施加传感器的电容模型,可以根据测量的反射系数计算被测液体的复杂介电常数。观察到在低于2GHz的频率范围内的复杂介电常数和污染物浓度之间的明显关系。当在光谱中绘制反射系数的大小时,可以通过谐振峰的位置来识别液体样品中的污染物的类型。污染物识别的频率范围位于2到3 GHz之间。

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