High Density Ozone Monitoring Using Gas Sensitive Semi-Conductor Sensors in the Lower Fraser Valley, British Columbia

Bart, M.; Williams, David E.; Ainslie, Bruce; McKendry, Ian G.; Salmond, Jennifer; Grange, Stuart K.; Alavi, Maryam; Steyn, D. G.; Henshaw, Geoff S.

doi:10.1021/es404610t

Cited by 72 publications

(78 citation statements)

References 22 publications

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“…The absolute measurement of ozone remains a challenge with some of these sensors owing to interferences (Mead et al, 2013). New developments suggest these configurations of sensor technologies can give long-term atmospheric performance for the measurements of ozone Bart et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

et al. 2015

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Abstract. Ozone holds a certain fascination in atmospheric science. It is ubiquitous in the atmosphere, central to tropospheric oxidation chemistry, yet harmful to human and ecosystem health as well as being an important greenhouse gas. It is not emitted into the atmosphere but is a byproduct of the very oxidation chemistry it largely initiates. Much effort is focused on the reduction of surface levels of ozone owing to its health and vegetation impacts, but recent efforts to achieve reductions in exposure at a country scale have proved difficult to achieve owing to increases in background ozone at the zonal hemispheric scale. There is also a growing realisation that the role of ozone as a short-lived climate pollutant could be important in integrated air quality climate change mitigation. This review examines current understanding of the processes regulating tropospheric ozone at global to local scales from both measurements and models. It takes the view that knowledge across the scales is important for dealing with air quality and climate change in a synergistic manner. The review shows that there remain a number of clear challenges for ozone such as explaining surface trends, incorporating new chemical understanding, ozone-climate coupling, and a better assessment of impacts. There is a clear and present need to treat ozone across the range of scales, a transboundary issue, but with an emphasis on the hemispheric scales. New observational opportunities are offered both by satellites and small sensors that bridge the scales.

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Section: Discussionmentioning

confidence: 99%

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

et al. 2015

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“…drift/long term stability, material degradation and sensitivity fluctuations) (Williams et al, 2013). Researchers also deployed these gas semiconductor sensors in British Columbia over roughly 10,000 km 2 for three months finding low errors (3 +/-2 ppb) between hourly averaged sensor and reference instruments while documenting the challenges of using, in this instance, wireless sensor networks (Bart et al, 2014). Lin and coworkers demonstrated high correlations (0.91) between tungsten oxide semiconductor ozone sensors and hourly averaged Federal Reference Method (FRM) chemiluminescence gas 25 analyzer measurements in Edinburgh, UK with similar magnitudes (Lin et al, 2015).…”

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confidence: 97%

“…For our CyberSEES project (NSF Award ID: 1442971), the measured variability between AQMS will provide validation for atmospheric model downscaling to the 10s of kilometer scale -smaller spacing than current EPA monitoring networks. The current spacing is not sufficient to capture high spatial resolution concentrations (Bart et al, 2014;Moltchanov et al, 2015). Additionally, this variability could potentially be used to inform exposure assessment for health studies as well as improve our understanding of pollutant sources and fate (Simon et al, 2016;Lin et al, 2015;Blanchard et 10 al., 2014).…”

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confidence: 99%

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

Sadighi

Coffey

Polidori

et al. 2017

Preprint

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Abstract. Sensor networks are being more widely used to characterize and understand compounds in the atmosphere such as ozone and carbon dioxide. This study employs a measurement tool, called the U-Pod, constructed at the University of Colorado Boulder, to investigate spatial and temporal variability of O3 and CO2 in a 314 km 2 area of Riverside County near Los Angeles, 10California. This tool provides 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 O3 and CO2 measurements to minute resolution reference observations resulted in R-squared and root mean squared errors (RMSE) of 0.95 -0.97 and 4.4 -15 7.2 ppbv for O3 and 0.79 and 15 ppmv CO2, respectively. Using the deployment data, ozone and carbon dioxide concentrations were observed to vary on this small spatial scale. In the analysis based on hourly binned data, the median R-squared 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 ppb for the ozone deployment. For carbon dioxide, distributions 20 of all measurements vary from 413 -425 ppm during the calibration (collocation) and 406 -472 during the deployment. Since median differences between U-Pod concentrations during deployment are larger than the respective root mean square error values for ozone and carbon dioxide, we can conclude that there is spatial variability in these pollutants across the study area. This is important because it means that citizens may be exposed to more ozone than they would assume based on current regulatory monitoring. 25Atmos. Meas. Tech. Discuss., https://doi

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“…A critical issue is confirming the integrity and calibration of the sensor over time. Common issues in sensors can be effects of ambient conditions (e.g., sublimation of sensor material from high humidity [4], increasing baseline measurements [5], drifting calibration, and site impacts (e.g., dirt in inlets or power variations). Identifying changes in baseline or calibration so that action can be taken would improve management of such networks.…”

Section: Introductionmentioning

confidence: 99%

Reliable Long-Term Data from Low-Cost Gas Sensor Networks in the Environment

Miskell

Salmond

Grange

et al. 2017

Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017

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This poster examines long-term performance of low-cost instruments in environmental networks using a semiconducting oxide sensor measuring ground-level ozone (O3). Sensors were placed outside in networks and automated methodologies based on knowledge of sensor and environment characteristics were successfully applied to confirm sensor stability. These networks demonstrated how environmental data could be collected and confirmed using networks of low-cost sensors, which supplemented observations from the existing regulatory network. This work is a critical step in the development of networks of low-cost environmental sensors when considering the delivery of reliable data.

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High Density Ozone Monitoring Using Gas Sensitive Semi-Conductor Sensors in the Lower Fraser Valley, British Columbia

Cited by 72 publications

References 22 publications

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

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

Reliable Long-Term Data from Low-Cost Gas Sensor Networks in the Environment

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