Abstract

Deteriorating levels of indoor air quality is a prominent environmental issue that results in long-lasting harmful effects on human health and wellbeing. A concurrent multi-parameter monitoring approach accounting for most crucial indoor pollutants is critical and essential. The challenges faced by existing conventional equipment in measuring multiple real-time pollutant concentrations include high cost, limited deployability, and detectability of only select pollutants. The aim of this paper is to present a comprehensive indoor air quality monitoring system using a low-cost Raspberry Pi-based air quality sensor module. The custom-built system measures 10 indoor environmental conditions including pollutants: temperature, relative humidity, Particulate Matter (PM)2.5, PM10, Nitrogen dioxide (NO2), Sulfur dioxide (SO2), Carbon monoxide (CO), Ozone (O3), Carbon dioxide (CO2), and Total Volatile Organic Compounds (TVOCs). A residential unit and an educational office building was selected and monitored over a span of seven days. The recorded mean PM2.5, and PM10 concentrations were significantly higher in the residential unit compared to the office building. The mean NO2, SO2, and TVOC concentrations were comparatively similar for both locations. Spearman rank-order analysis displayed a strong correlation between particulate matter and SO2 for both residential unit and the office building while the latter depicted strong temperature and humidity correlation with O3, SO2, PM2.5, and PM10 when compared to the former.

Highlights

  • In the past decade, declining air quality has emerged as one of the largest global environmental issues due to its harmful effects on human health

  • The aim of this paper is to present a comprehensive indoor air quality monitoring system using a low-cost Raspberry Pi-based air quality sensor module

  • The minimum CO2 concentration of 761 ppm recorded at site 1 is greater than the maximum value of 522 ppm registered at site 2

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Summary

Introduction

In the past decade, declining air quality has emerged as one of the largest global environmental issues due to its harmful effects on human health. Association (ALA) “State of the Air® 2020” estimated that nearly 49% of the United States population lived in harmful environmental air conditions [1]. Harm inducing health conditions such as Sick Building Syndrome (SBS) and Building Related Illness (BRI) are proven to be the effects of unhealthy levels of indoor air quality [4,5,6,7]. According to the US Environmental Protection Agency (EPA), the major constituents of indoor air pollution include Particulate Matter (PM), Nitrogen dioxide (NO2 ), Sulfur dioxide (SO2 ), Carbon monoxide (CO), Ozone (O3 ), Carbon dioxide (CO2 ), and Total Volatile Organic Compounds (TVOCs) [8].

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