<i>In situ</i> drift correction for a low-cost NO<sub>2</sub> sensor network

Miech, Jason A.; Stanton, Levi; Gao, Meiling; Micalizzi, Paolo; Uebelherr, Joshua; Herckès, Pierre; Fraser, Matthew P.

doi:10.1039/d2ea00145d

Cited by 1 publication

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“…LCS hourly NO 2 data was collected at 12 sites around Maricopa County from April 2021 to October 2021 using Clarity Node-S sensors. Their deployment and calibration are detailed in [40,41], while Figure 1 details the locations of all measurements used in this study. The Clarity Node-S sensors have a nominal NO 2 range of 0-3000 ppb, a resolution of 1 ppb, and an optimal R 2 of 0.83 and root-mean-square error of <8 ppb [42].…”

Section: Lcs Datamentioning

confidence: 99%

Evaluating Phoenix Metropolitan Area Ozone Behavior Using Ground-Based Sampling, Modeling, and Satellite Retrievals

Miech,

Herckes,

Fraser

et al. 2024

Atmosphere

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An oxidizing and harmful pollutant gas, tropospheric ozone is a product of a complex set of photochemical reactions that can make it difficult to enact effective control measures. A better understanding of its precursors including volatile organic compounds (VOCs) and nitrogen oxides (NOx) and their spatial distribution can enable policymakers to focus their control efforts. In this study we used low-cost sensors (LCSs) to increase the spatial resolution of an existing NO2 monitoring network in addition to VOC sampling to better understand summer ozone formation in Maricopa County, Arizona, and observed that afternoon O3 values at the downwind sites were significantly correlated, ~0.27, to the morning NO2 × rate values at the urban sites. Additionally, we looked at the impact of wildfire smoke on ozone exceedances and compared non-smoke days to smoke days. The average O3 on smoke days was approximately 20% higher than on non-smoke days, however, the average NO2 concentration multiplied by estimated photolysis rate (NO2 × rate) values were only 2% higher on smoke days. Finally, we evaluated the ozone sensitivity of the region by calculating HCHO/NO2 ratios using three different datasets: ground, satellite, and model. Although the satellite dataset produced higher HCHO/NO2 ratios than the other datasets, when the proper regime thresholds are applied the three datasets consistently show transition and VOC-limited O3 production regimes over the Phoenix metro area. This suggests a need to implement more VOC emission controls in order to reach O3 attainment in the county.

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Section: Lcs Datamentioning

confidence: 99%

Evaluating Phoenix Metropolitan Area Ozone Behavior Using Ground-Based Sampling, Modeling, and Satellite Retrievals

Miech,

Herckes,

Fraser

et al. 2024

Atmosphere

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In situ drift correction for a low-cost NO₂ sensor network

Abstract: Twelve low-cost NO2 sensors (LCSs) underwent multiple bi-weekly collocations with a NO2 reference monitor to develop a robust calibration model unique to several periods throughout a summer deployment (April 2021,...

Cited by 1 publication

References 19 publications

Evaluating Phoenix Metropolitan Area Ozone Behavior Using Ground-Based Sampling, Modeling, and Satellite Retrievals

Evaluating Phoenix Metropolitan Area Ozone Behavior Using Ground-Based Sampling, Modeling, and Satellite Retrievals

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In situ drift correction for a low-cost NO2 sensor network

Abstract: Twelve low-cost NO2 sensors (LCSs) underwent multiple bi-weekly collocations with a NO2 reference monitor to develop a robust calibration model unique to several periods throughout a summer deployment (April 2021,...

Cited by 1 publication

References 19 publications

Evaluating Phoenix Metropolitan Area Ozone Behavior Using Ground-Based Sampling, Modeling, and Satellite Retrievals

Evaluating Phoenix Metropolitan Area Ozone Behavior Using Ground-Based Sampling, Modeling, and Satellite Retrievals

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In situ drift correction for a low-cost NO₂ sensor network