Relationship Between the Concentrations Of PM2.5 Indoors Obtained by Using the Optical and Gravimetric Methods: Preliminary Analysis

Jozef S. PASTUSZKA

doi:10.21307/acee-2020-035

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Relationship Between the Concentrations Of PM2.5 Indoors Obtained by Using the Optical and Gravimetric Methods: Preliminary Analysis

Architecture, Civil Engineering, Environment

Volume 13 (2020): Issue 4 (December 2020)

By: Jozef S. PASTUSZKA

Open Access

|Jan 2021

Abstract

The paper presents preliminary analysis of measurements of the mass concentrations of PM_2.5 in the indoor environment, obtained with the use of two optical instruments: (Grimm device and low-cost sensor) and a sampler based on the gravimetric method (SKC). It was found that the measurement of PM_2.5 using an optical device with active sampling underestimates the actual mass concentration of this mode (PM_2.5), while measurement using an optical device with passive sampling of air overestimates the concentration of PM_2.5. It has been shown that the physical relationship between the mass concentrations of airborne particles obtained with an optical sensor (C_sensor ) and concentrations obtained with the gravimetric method (C_grav ) is not linear. However, for practical reasons, the correct (“true”) concentration levels of PM_2.5 in an indoor environment can be estimated by converting sensor data according to a simple linear equation, i.e., C_grav = a C_sensor . The coefficient a for the sensor used was estimated at 0.45.

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Articles in this issue

DOI: https://doi.org/10.21307/acee-2020-035 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142

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Language: English

Page range: 105 - 113

Submitted on: Oct 26, 2020

Accepted on: Nov 23, 2020

Published on: Jan 27, 2021

Published by: Silesian University of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

PM_2.5 ,

Related subjects:

Architecture and design,

Architecture,

Architects, buildings

© 2021 Jozef S. PASTUSZKA, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 13 (2020): Issue 4 (December 2020)