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Intra-urban spatial variability of surface ozone in Riverside, CA: viability and validation of low-cost sensors

机译:加州里弗赛德市内城市表面臭氧的空间变异性:低成本传感器的可行性和验证

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Sensor networks are being more widely used to characterize and understand compounds in the atmosphere like ozone (Osub3/sub). This study employs a measurement tool, called the U-Pod, constructed at the University of Colorado Boulder, to investigate spatial and temporal variability of Osub3/sub in a 200?kmsup2/sup area of Riverside County near Los Angeles, California. This tool contains low-cost sensors to collect ambient data at non-permanent locations. The U-Pods were calibrated using a pre-deployment field calibration technique; all the U-Pods were collocated with regulatory monitors. After collocation, the U-Pods were deployed in the area mentioned. A subset of pods was deployed at two local regulatory air quality monitoring stations providing validation for the collocation calibration method. Field validation of sensor Osub3/sub measurements to minute-resolution reference observations resulted in Rsup2/sup and root mean squared errors (RMSEs) of 0.95–0.97 and 4.4–5.9?ppbv, respectively. Using the deployment data, ozone concentrations were observed to vary on this small spatial scale. In the analysis based on hourly binned data, the median Rsup2/sup values between all possible U-Pod pairs varied from 0.52 to 0.86 for ozone during the deployment. The medians of absolute differences were calculated between all possible pod pairs, 21?pairs total. The median values of those median absolute differences for each hour of the day varied between 2.2 and 9.3?ppbv for the ozone deployment. Since median differences between U-Pod concentrations during deployment are larger than the respective root mean square error values, we can conclude that there is spatial variability in this criteria pollutant across the study area. This is important because it means that citizens may be exposed to more, or less, ozone than they would assume based on current regulatory monitoring.
机译:传感器网络已被广泛用于表征和理解大气中的化合物,例如臭氧(O 3 )。这项研究使用了一种由科罗拉多大学博尔德分校建造的测量工具,称为U-Pod,来研究O 3 在200?km 2 中的时空变化加利福尼亚州洛杉矶附近的里弗赛德县地区。该工具包含低成本传感器,用于在非永久位置收集环境数据。使用部署前的现场校准技术对U-Pods进行了校准。所有U-Pods均与监管监控器并置。搭配后,U-Pods被部署在上述区域。在两个当地监管空气质量监测站部署了一个吊舱子集,以验证搭配校准方法。传感器O 3 测量值对微小分辨率参考观测的现场验证导致R 2 和均方根误差(RMSE)为0.95-0.97和4.4-5.9?ppbv,分别。使用部署数据,观察到臭氧浓度在这个小的空间范围内变化。在基于每小时分类数据的分析中,在部署期间,所有可能的U-Pod对之间的中值R 2 值在臭氧范围内从0.52到0.86不等。计算所有可能的豆荚对之间的绝对差的中位数,总共21对。在一天中的每个小时中,这些平均绝对差的中值在2.2到9.3ppbv之间变化,以用于臭氧部署。由于部署期间U-Pod浓度之间的中位数差异大于各自的均方根误差值,因此我们可以得出结论,整个研究区域中该标准污染物存在空间变异性。这很重要,因为这意味着公民可能会比根据目前的监管监测所假设的臭氧更多或更少。

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