用无线信号检测土壤铅污染，低成本快速筛查。
Feasibility of Radio Frequency Based Wireless Sensing of Lead Contamination in Soil
- 利用不同频率无线电波受土壤盐分影响差异来探测铅含量。
- 在实验室和野外数据上分类准确率达72%，>500 ppm铅样本无误判。
- 为便携式、低成本铅污染检测设备提供新思路，适合环保监测人员。
城市土壤中普遍存在的铅（Pb）污染严重影响食品安全与公共健康，并阻碍城市绿化。然而，现有铅检测技术大多成本高、耗时长。本研究提出 SoilScanner，一种基于射频的无线传感系统，可实现土壤铅污染检测。研究发现，不同频段的无线信号在土壤中传播时，受不同盐类（如NaCl和Pb(NO₃)₂）影响程度不同。通过在清洁土壤中人工添加盐分的控制实验，证实了不同盐类在不同频率下呈现独特的信号反射模式。进一步使用机器学习模型验证了该现象在非控制野外样本中的有效性。实验结果表明，SoilScanner 能以72%的准确率将土壤样本分类为低铅（<200 ppm）或高铅（≥200 ppm），且所有超过500 ppm铅含量的样本均未被误判。研究证明，基于无线技术构建便携、低成本的铅污染检测与筛查设备具有可行性。
原文摘要 · Abstract (English)
Widespread Pb (lead) contamination of urban soil significantly impacts food safety and public health and hinders city greening efforts. However, most existing technologies for measuring Pb are labor-intensive and costly. In this study, we propose SoilScanner, a radio frequency-based wireless system that can detect Pb in soils. This is based on our discovery that the propagation of different frequency band radio signals is affected differently by different salts such as NaCl and Pb(NO3)2 in the soil. In a controlled experiment, manually adding NaCl and Pb(NO3)2 in clean soil, we demonstrated that different salts reflected signals at different frequencies in distinct patterns. In addition, we confirmed the finding using uncontrolled field samples with a machine learning model. Our experiment results show that SoilScanner can classify soil samples into low-Pb and high-Pb categories (threshold at 200 ppm) with an accuracy of 72%, with no sample with > 500 ppm of Pb being misclassified. The results of this study show that it is feasible to build portable and affordable Pb detection and screening devices based on wireless technology.
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