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Evaluation and Field Calibration of a Low-cost Ozone Monitor at a Regulatory Urban Monitoring Station

机译:城市监管站低成本臭氧监测仪的评估和现场校准

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The performance of a low-cost ozone monitor (the Aeroqual Series 500 portable gas monitor coupled with a metal oxide sensor for ozone; model OZL) was assessed under field conditions. Ten ozone monitors were initially calibrated in clean-air laboratory conditions and tested at controlled ozone concentrations of 5 to 100 ppb. Results showed good linearity and a fast response with respect to a conventional research-grade ozone monitor. One monitor was then co-located at a regulatory air quality monitoring station that uses a U.S. federal equivalent method (FEM) ozone analyzer. Raw data from the Aeroqual monitor collected over 4 months (June–October) at a 10-minute time-resolution showed good agreement (r~(2) = 0.83) with the FEM values but with an overestimation of ~12%. Data were averaged to different time resolutions; 1-h time averaged concentrations showed the best fit with the FEM results (r~(2) = 0.87). An analysis of the ratio of FEM/monitor concentrations against chemical and meteorological variables suggested potential interference due to temperature, relative humidity, nitrogen oxides, and volatile organic compounds. Three correction models using temperature, humidity, and nitrogen dioxide (NO_(2)) were then tested to better relate the monitor concentrations to the FEM values. Temperature and humidity are two variables commonly available (or easily measurable) at sampling sites. The model (#3) that added NO_(2) did not substantially improve the fit. Thus, the proposed models with only temperature and humidity can be easily adopted and adapted by any user. The corrected data explained up to 91% of the variance and showed a statistically significant improvement in the fit as well as a decreased influence from the interfering variables on the diurnal and weekly patterns. The correction models were also able to lower the effect of seasonal temperature changes, allowing the use of the monitors over long-term sampling campaigns. This study demonstrated that the Aeroqual ozone monitors can return “FEM-like” concentrations after appropriate corrections. Therefore, data provided by a network of monitors could determine the intra-urban spatial variations in ozone concentrations. These results suggest that these monitors could provide more accurate human exposure assessments and thereby reduce exposure misclassification and its resulting bias in epidemiological studies.
机译:在现场条件下评估了低成本臭氧监测仪(Aeroqual 500系列便携式气体监测仪与臭氧金属氧化物传感器结合使用; OZL型)的性能。首先在清洁的空气实验室条件下校准了十个臭氧监测仪,并在5至100 ppb的受控臭氧浓度下进行了测试。与传统的研究级臭氧监测器相比,结果显示出良好的线性和快速响应。然后,将一台监视器放置在使用美国联邦等效法(FEM)臭氧分析仪的空气质量监管站上。从Aeroqual监控器以10分钟的时间分辨率在4个月(6月至10月)中收集的原始数据显示与FEM值具有很好的一致性(r〜(2)= 0.83),但高估了约12%。将数据平均为不同的时间分辨率; 1 h时间平均浓度显示与FEM结果的最佳拟合(r〜(2)= 0.87)。对FEM /监测仪浓度与化学和气象变量的比率进行分析后发现,温度,相对湿度,氮氧化物和挥发性有机化合物可能会造成干扰。然后测试了使用温度,湿度和二氧化氮(NO_(2))的三个校正模型,以更好地将监测仪浓度与FEM值相关联。温度和湿度是在采样点通常可用(或易于测量)的两个变量。添加了NO_(2)的模型(#3)基本上没有改善拟合度。因此,所提出的仅具有温度和湿度的模型可以被任何用户容易地采用和修改。校正后的数据最多可解释91%的方差,并显示出统计上的显着改善,而干扰变量对昼夜和每周模式的影响也减小了。校正模型还能够降低季节性温度变化的影响,从而允许在长期采样活动中使用监视器。这项研究表明,Aeroqual臭氧监测仪经过适当的校正后可以返回“类似FEM”的浓度。因此,由监测网络提供的数据可以确定城市内部臭氧浓度的空间变化。这些结果表明,这些监测器可以提供更准确的人体暴露评估,从而减少暴露分类错误及其在流行病学研究中的偏见。

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