Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements
Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements
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DOI：
10.5194/amt-10-3575-2017
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发表时间：
2017-09-29
影响因子：
3.8
通讯作者：
Jayne, John T.
中科院分区：
文献类型：
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作者：
Cross, Eben S.;Williams, Leah R.;Jayne, John T.
我们生活、工作和娱乐的环境受到空气污染物浓度的巨大变化的影响。为了充分表征空气质量（AQ），测量必须快速（真实的时间），可扩展和可靠（具有已知的准确度，精度和随时间的稳定性）。低成本的空气质量传感器技术为快速和分布式测量提供了新的机会，但在现实环境采样条件下评估传感器性能时，仍然存在持续的表征差距。这限制了我们向公众通报污染源的能力，并激励政策制定者解决与空气质量相关的环境正义问题。本文报告了最近开发的低成本空气质量传感器系统获得的初步结果。在这个项目中，数据采集与ARISense集成传感器包超过4.5个月的时间间隔，在此期间，传感器系统是共同定位与国家经营的（马萨诸塞州，美国）空气质量监测站配备了参考仪器测量相同的污染物种类。本文重点验证电化学（EC）传感器测量的CO，NO，NO2和O-3在城市附近的污染物浓度范围（十亿分之一体积，ppb; 5分钟平均值，+/- 1 sigma）：[CO] = 231 +/- 116 ppb（范围84-1706 ppb），[NO] = 6.1 +/- 11.5 ppb（跨度0-209 ppb），[NO2] = 11.7 +/- 8.3 ppb（跨度0-71 ppb），[O-3] = 23.2 +/- 12.5 ppb（跨度0-99 ppb）。通过使用高维模型表示（HDMR），我们表明，干扰效应来自于三个季节的可变环境气体浓度混合和不断变化的气象条件（传感器流动池温度= 23.4 +/- 8.5 ℃，范围为4.1至45.2 ℃;和相对湿度= 50.1 +/-15.3%，跨度9.8- 79.9%）可以有效地为Alphasense CO-B4、NO-B4、NO2-B43 F和Ox-B421传感器建模，（5分钟平均值）均方根误差（RMSE）分别为39.2、4.52、4.56和9.71 ppb。我们的研究结果证实了这些传感器可以实现分布式空气污染测量的潜力。
The environments in which we live, work, and play are subject to enormous variability in air pollutant concentrations. To adequately characterize air quality (AQ), measurements must be fast (real time), scalable, and reliable (with known accuracy, precision, and stability over time). Lower-cost air-quality-sensor technologies offer new opportunities for fast and distributed measurements, but a persistent characterization gap remains when it comes to evaluating sensor performance under realistic environmental sampling conditions. This limits our ability to inform the public about pollution sources and inspire policy makers to address environmental justice issues related to air quality. In this paper, initial results obtained with a recently developed lower-cost air-quality-sensor system are reported. In this project, data were acquired with the ARISense integrated sensor package over a 4.5-month time interval during which the sensor system was co-located with a state-operated (Massachusetts, USA) air quality monitoring station equipped with reference instrumentation measuring the same pollutant species. This paper focuses on validating electrochemical (EC) sensor measurements of CO, NO, NO2, and O-3 at an urban neighborhood site with pollutant concentration ranges (parts per billion by volume, ppb; 5 min averages, +/- 1 sigma) : [CO] = 231 +/- 116 ppb (spanning 84-1706 ppb), [NO] = 6.1 +/- 11.5 ppb (spanning 0-209 ppb), [NO2] = 11.7 +/- 8.3 ppb (spanning 0-71 ppb), and [O-3] = 23.2 +/- 12.5 ppb (spanning 0-99 ppb). Through the use of high-dimensional model representation (HDMR), we show that interference effects derived from the variable ambient gas concentration mix and changing environmen-tal conditions over three seasons (sensor flow-cell temperature = 23.4 +/- 8.5 degrees C, spanning 4.1 to 45.2 degrees C; and relative humidity = 50.1 +/- 15.3 %, spanning 9.8-79.9 %) can be effectively modeled for the Alphasense CO-B4, NO-B4, NO2-B43F, and Ox-B421 sensors, yielding (5 min average) root mean square errors (RMSE) of 39.2, 4.52, 4.56, and 9.71 ppb, respectively. Our results substantiate the potential for distributed air pollution measurements that could be enabled with these sensors.