Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153776
Title: Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
Authors: Won, Wan-Sik
Oh, Rosy
Lee, Woojoo
Ku, Sungkwan
Su, Pei-Chen
Yoon, Yong-Jin
Keywords: Engineering::Mechanical engineering
Issue Date: 2021
Source: Won, W., Oh, R., Lee, W., Ku, S., Su, P. & Yoon, Y. (2021). Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility. Scientific Reports, 11(1), 16401-. https://dx.doi.org/10.1038/s41598-021-95834-6
Journal: Scientific Reports
Abstract: The hygroscopic property of particulate matter (PM) influencing light scattering and absorption is vital for determining visibility and accurate sensing of PM using a low-cost sensor. In this study, we examined the hygroscopic properties of coarse PM (CPM) and fine PM (FPM; PM₂.₅) and the effects of their interactions with weather factors on visibility. A censored regression model was built to investigate the relationships between CPM and PM₂.₅ concentrations and weather observations. Based on the observed and modeled visibility, we computed the optical hygroscopic growth factor, f(RH), and the hygroscopic mass growth, GMᵥᵢₛ, which were applied to PM₂.₅ field measurement using a low-cost PM sensor in two different regions. The results revealed that the CPM and PM₂.₅ concentrations negatively affect visibility according to the weather type, with substantial modulation of the interaction between the relative humidity (RH) and PM₂.₅. The modeled f(RH) agreed well with the observed f(RH) in the RH range of the haze and mist. Finally, the RH-adjusted PM₂.₅ concentrations based on the visibility-derived hygroscopic mass growth showed the accuracy of the low-cost PM sensor improved. These findings demonstrate that in addition to visibility prediction, relationships between PMs and meteorological variables influence light scattering PM sensing.
URI: https://hdl.handle.net/10356/153776
ISSN: 2045-2322
DOI: 10.1038/s41598-021-95834-6
Rights: © 2021 The Author(s). Tis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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