Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153776
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWon, Wan-Siken_US
dc.contributor.authorOh, Rosyen_US
dc.contributor.authorLee, Woojooen_US
dc.contributor.authorKu, Sungkwanen_US
dc.contributor.authorSu, Pei-Chenen_US
dc.contributor.authorYoon, Yong-Jinen_US
dc.date.accessioned2021-12-27T07:56:00Z-
dc.date.available2021-12-27T07:56:00Z-
dc.date.issued2021-
dc.identifier.citationWon, 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/s41598-021-95834-6en_US
dc.identifier.issn2045-2322en_US
dc.identifier.urihttps://hdl.handle.net/10356/153776-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.relation.ispartofScientific Reportsen_US
dc.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/.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleHygroscopic properties of particulate matter and effects of their interactions with weather on visibilityen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doi10.1038/s41598-021-95834-6-
dc.description.versionPublished versionen_US
dc.identifier.pmid34385551-
dc.identifier.scopus2-s2.0-85112722798-
dc.identifier.issue1en_US
dc.identifier.volume11en_US
dc.identifier.spage16401en_US
dc.subject.keywordsYangtze-River Deltaen_US
dc.subject.keywordsHaze-Fog Episodeen_US
dc.description.acknowledgementThis research was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21CTAP-C164083-01). We also would like to thank Jiwon Park in Portsmouth abbey school for his assistance.en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:MAE Journal Articles
Files in This Item:
File Description SizeFormat 
s41598-021-95834-6.pdf4.56 MBAdobe PDFView/Open

Page view(s)

31
Updated on Jul 4, 2022

Download(s)

8
Updated on Jul 4, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.