Abstract

Atmospheric pollution is one of the biggest concerns for public health. Air quality monitoring is currently performed by expensive and cumbersome monitoring stations. For this reason, they are sparse, and therefore, inadequate to provide enough accurate information on the personal exposure to pollutant gases. The current worldwide trend to address this issue consists in the use of low-cost small gas sensors, already available on the market, with a wide range of costs and performances. However, the performance of these sensors is heavily affected by the environmental conditions of the specific location used for their deployment. For this reason, it is of fundamental importance to test them in real-world scenarios. Field evaluation of sensor performance could be a challenging task because, on the one hand, they have heterogeneous output signals, and on the other hand, there is no widely shared evaluation protocol. The SentinAir system has been designed and developed to facilitate this task. It can carry out performance evaluations for any type of sensor thanks to its configurable and adaptable sensing capability, multiple wireless sensor network compatibility, flexibility, and usability. In order to evaluate SentinAir capabilities and functionalities, the performances of CO2, NO2, and O3 sensors were tested in real-world scenarios against reference instruments. To the best of our knowledge, there is no previous study providing information about the performance of SP-61 (O3 sensor), IRC-A1 (CO2 sensor), and TDS5008 (CO2 sensor) achieved during on-field tests. On the contrary, results obtained by OXB431 (O3 sensor) and NO2B43F (NO2 sensor) are consistent with the ones shown in previous studies carried out in similar conditions. During validation tests, we have found R2=0.507 for the best performing NO2 sensor, and R2=0.668 for the best O3 sensor. Concerning the indoor experiment, the best CO2 sensor performance showed an excellent R2=0.995. In conclusion, the effectiveness of this tool in evaluating the performance of heterogeneous gas sensors in different real-world scenarios has been demonstrated. Therefore, we anticipate that the use of SentinAir will facilitate researchers to carry out these challenging tasks.

Highlights

  • In the last decades, air pollution has become one of the biggest concerns in the world

  • The dataset related to the first period is composed of the CO2 concentrations provided by the reference, the CO2 measurements given by the first copy of the IRCA1 sensor (here denoted as IRCA1(1)), the CO2 concentration levels provided by the first copy of theTDS0058 (indicated as TDS0058(1)), the temperature, and the relative humidity

  • The datasets obtained through this experiment are composed of O3 and NO2 concentrations expressed in ppb and provided by the Reference Instruments (RIs), temperature in Celsius degrees, relative humidity, tensions given by the two copies of SP-61 sensors, and electrode tensions given by the working and auxiliary electrode belonging to the two copies of NO2B43F and OXB431 sensors

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Summary

Introduction

Air pollution has become one of the biggest concerns in the world. It was proved that poor air quality has negative effects on public health [1,2,3], not just in outdoor environments [4, 5], and in indoor ones [6,7,8]. Several studies have proved that Particulate Matter (PM), NO2, O3, CO, SO2, and Volatile Organic Compounds (VOCs) are among the most relevant air pollutants which directly or indirectly threaten public health and affect air quality [1, 3,4,5,6,7,8]. Air quality monitoring is mostly performed by fixed stations based on chemical analyzers. These reference instruments are based on traditional technologies and give accurate measurements.

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