From air quality sensors to sensor networks: Things we need to learn

Li, Yang; Yuan, Ziyang; Chen, L.-W. Antony; Pillarisetti, Ajay; Yadav, Varsha; Wu, Mengxian; Cui, Houxin; Zhao, Chuanfeng

doi:10.1016/j.snb.2021.130958

Cited by 15 publications

(7 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Measurement data collected by the monitor are transmitted to a centralized server via the cellular network, and a web-based interface is used to manage and visualize the collected measurement data. 40 In this study, we deployed six SCI-608 monitors to six regulatory monitoring stations located in six cities in the United States, including Portland, OR; Atlanta, GA; Riverside, CA; Sacramento, CA; New York, NY; and Phoenix, AZ. A map of the six cities is provided in Figure 1, with corresponding FEM/FRM equipment models listed in Supporting Information Table S1.…”

Section: ■ Experimental Methodsmentioning

confidence: 99%

“…The monitor can be powered by an AC power source or an optional solar panel. Measurement data collected by the monitor are transmitted to a centralized server via the cellular network, and a web-based interface is used to manage and visualize the collected measurement data …”

Section: Experimental Methodsmentioning

confidence: 99%

“…The SCI-608 is capable of measuring six pollutants and meteorological parameters, including particulate matter with an aerodynamic diameter less than or equal to 10 μm (PM 10 ) and less than or equal to 2.5 μm (PM 2.5 ), ozone (O 3 ), carbon monoxide (CO), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), temperature, and RH. It has been used in several previous ambient measurement studies. , In this paper, we focus our discussion on the measurements of gaseous pollutants, specifically CO, NO 2 , and O 3 . SO 2 is not discussed in the manuscript due to the low ambient concentration in most cities (below the instrument detection limit).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal

Hasan

Ivey

et al. 2023

ACS Omega

Self Cite

View full text Add to dashboard Cite

Low-cost air quality (LCAQ) sensors are increasingly being used for community air quality monitoring. However, data collected by low-cost sensors contain significant noise, and proper calibration of these sensors remains a widely discussed, but not yet fully addressed, area of concern. In this study, several LCAQ sensors measuring nitrogen dioxide (NO 2 ) and ozone (O 3 ) were deployed in six cities in the United States

show abstract

Section: ■ Experimental Methodsmentioning

confidence: 99%

Section: Experimental Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal

Hasan

Ivey

et al. 2023

ACS Omega

Self Cite

View full text Add to dashboard Cite

show abstract

“…More generally, the choice of how to define rendez-vous should depend on the measurand, the sensor network and its context of deployment. This is in fact a general requirement when designing sensor networks [40]. Thus, the diagnosis algorithm proposed in the following section considers only a conceptual definition of rendez-vous.…”

Section: Rendez-vousmentioning

confidence: 99%

Rendez-Vous Based Drift Diagnosis Algorithm for Sensor Networks Toward In Situ Calibration

Delaine

Lebental

Rivano

2023

IEEE Trans. Automat. Sci. Eng.

View full text Add to dashboard Cite

In recent years, low-cost sensors have raised strong interest for environmental monitoring applications. These instruments often suffer from degraded data quality. Notably, they are prone to drift. It can be mitigated with costly periodic calibrations. To reduce this cost, in situ calibration strategies have emerged, enabling the recalibration of instruments while leaving them in the field. However, they rarely identify which instruments actually need a calibration because of drift, so that in situ calibration may instead degrade performances. Therefore, a novel drift detection algorithm is presented in this work, exploiting the concept of rendez-vous between measuring instruments. Its originality lies mainly in the comparisons of values determining the state of the instruments, for which the quality of the measurement results is taken into account. It defines the concept of compatibility between measurement results. A case study is developed, showing an accuracy of 88% for correct detection of drifting instruments. The results of the diagnosis algorithm are then combined with calibration approaches. Results show a significant improvement of the measurement results. Notably, an increase of 15% of the coefficient of determination of the linear regression between their true values and the measured values is observed with the correction and the error on the slope and on the intercept respectively is reduced by 50% and 60% at least.

show abstract

“…The CEN working group WG42 is dedicated to standardised guidance for sensor technologies [ 41 ], and tools are being developed to assess compliance of sensor technologies with the data quality objectives of the EU Air Quality Directive [ 42 ]. The literature evidences that electrochemical and optical sensors suffer from limitations [ 32 , 34 , 35 , 36 , 43 , 44 , 45 , 46 , 47 ] (among others): data are affected by ambient conditions, are susceptible to cross-sensitivities and may suffer from drifts over time, and thus require calibration under local ambient and aerosol mix conditions to ensure data quality. Recent reviews report on diverse applications of air quality sensors, ranging from personal exposure assessment to source interpretation on the basis of diurnal and seasonal patterns [ 48 , 49 , 50 ].…”

Section: Introductionmentioning

confidence: 99%

Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes

Viana

Karatzas

Arvanitis

et al. 2022

IJERPH

View full text Add to dashboard Cite

While athletes have high exposures to air pollutants due to their increased breathing rates, sport governing bodies have little guidance to support events scheduling or protect stadium users. A key limitation for this is the lack of hyper-local, high time-resolved air quality data representative of exposures in stadia. This work aimed to evaluate whether air quality sensors can describe ambient air quality in Athletics stadia. Sensing nodes were deployed in 6 stadia in major cities around the globe, monitoring NO2, O3, NO, PM10, PM2.5, PM1, CO, ambient temperature, and relative humidity. Results demonstrated that the interpretation of hourly pollutant patterns, in combination with self-organising maps (SOMs), enabled the interpretation of probable emission sources (e.g., vehicular traffic) and of atmospheric processes (e.g., local vs. regional O formation). The ratios between PM size fractions provided insights into potential emission sources (e.g., local dust re-suspension) which may help design mitigation strategies. The high resolution of the data facilitated identifying optimal periods of the day and year for scheduling athletic trainings and/or competitions. Provided that the necessary data quality checks are applied, sensors can support stadium operators in providing athlete communities with recommendations to minimise exposure and provide guidance for event scheduling.

show abstract

From air quality sensors to sensor networks: Things we need to learn

Cited by 15 publications

References 43 publications

Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal

Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal

Rendez-Vous Based Drift Diagnosis Algorithm for Sensor Networks Toward In Situ Calibration

Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes

Contact Info

Product

Resources

About