US EPA

7693921 

Journal Article 

Indoor Household Particulate Matter Measurements Using a Network of Low-cost Sensors 

Hegde, S; Min, KT; Moore, J; Lundrigan, P; Patwari, N; Collingwood, S; Balch, A; Kelly, KE; , 

2020 

Yes 

Aerosol and Air Quality Research
ISSN: 1680-8584
EISSN: 2071-1409 

TAIWAN ASSOC AEROSOL RES-TAAR 

TAICHUNG COUNTY 

381-394 

10.4209/aaqr.2019.01.0046 

WOS:000518390700014 

https://aaqr.org/articles/aaqr-19-01-lcs-0046
Exit
 

The World Health Organization estimates that 4.3 million deaths globally in 2012 were attributable to household air pollution, of which particulate matter (PM) with a diameter of 2.5 mu m or less (PM2.5) is a significant contributor. When integrated with a wireless network, low-cost PM measurements potentially provide personalized information on indoor concentrations in real time so that individuals can take action. The objectives of this study were to (1) deploy a network of research-grade instruments and low-cost sensors in a home environment and evaluate the performance, (2) characterize activities and conditions that increase PM concentrations, and (3) identify how these activities affect the PM levels in different rooms of a home. The wireless sensor network included low-cost PM sensors, a gateway, and a database for storing data. Based on the commercially available Dylos DC1100 Pro (Utah Modified Dylos Sensor) and Plantower PMS sensor (AirU), the low-cost sensors were compared to three research-grade instruments-the GRIMM, DustTrak, and MiniVol-in two households in Salt Lake City during summer and winter, with the results suggesting that the low-cost sensors agreed well with the DustTrak. Of the activities, frying food and spraying aerosol products generated the largest increase in PM, both in the room of the activity (the kitchen and bedroom, respectively) and the adjacent rooms. High outdoor PM concentrations during a cold air pool episode also caused indoor levels to rise. In addition, different PM sources triggered different sensor responses. Consequently, obtaining accurate estimates of the mass concentration in an indoor environment, with its wide variety of PM sources, is challenging. However, low-cost PM sensors can be incorporated into an indoor air-quality measurement network to help individuals manage their personal exposure.