Volatile organic compounds are a complex class of chemical contaminants. They are related to odorous nuisances/episodic events and negative health effects. The use of sensors for air quality monitoring grants a continuous register of the number of episodes that take place, allowing municipalities and industrial activities to enter into a dynamic of continuous improvement of air quality in urban areas. The performance of sensors must be thoroughly evaluated, and results obtained validated. Thus, the present study presents the validation of the meteorological sensor data with a local reliable meteorological station. More than 14,000 registers for meteorological categories of temperature, relative humidity and pressure, corresponding to data from April 2022 to July 2023, were evaluated. The results obtained showed that atmospheric sensors of temperature, pressure and relative humidity presented significant Pearson correlations (p < 0.01 level (2-tailed), Pearson correlation coefficients between 0.45 and 0.96) with the data provided by the local meteorological station, indicating a positive validation of the sensor values. On the other hand, as could be expected, higher number of episodic events with higher sensor signals (i.e. higher VOCs concentrations) were generally observed when wind velocities were lower, as the dispersion of air pollutants is generally supported by the prevailing wind directions and speeds.

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Sensor Stations for VOCs Continuous Monitoring: Validation of Meteorological Sensor Data and Evaluation of the Meteorological Conditions Favouring VOCs Episodes

  • Eva Gallego,
  • José Francisco Perales,
  • Daniel Perales,
  • Josep Maria Calaf

摘要

Volatile organic compounds are a complex class of chemical contaminants. They are related to odorous nuisances/episodic events and negative health effects. The use of sensors for air quality monitoring grants a continuous register of the number of episodes that take place, allowing municipalities and industrial activities to enter into a dynamic of continuous improvement of air quality in urban areas. The performance of sensors must be thoroughly evaluated, and results obtained validated. Thus, the present study presents the validation of the meteorological sensor data with a local reliable meteorological station. More than 14,000 registers for meteorological categories of temperature, relative humidity and pressure, corresponding to data from April 2022 to July 2023, were evaluated. The results obtained showed that atmospheric sensors of temperature, pressure and relative humidity presented significant Pearson correlations (p < 0.01 level (2-tailed), Pearson correlation coefficients between 0.45 and 0.96) with the data provided by the local meteorological station, indicating a positive validation of the sensor values. On the other hand, as could be expected, higher number of episodic events with higher sensor signals (i.e. higher VOCs concentrations) were generally observed when wind velocities were lower, as the dispersion of air pollutants is generally supported by the prevailing wind directions and speeds.