Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility

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 e...

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Autores principales:	Wan-Sik Won, Rosy Oh, Woojoo Lee, Sungkwan Ku, Pei-Chen Su, Yong-Jin Yoon
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/723b36ca54db49358357edb6d5bd6a47
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spelling	oai:doaj.org-article:723b36ca54db49358357edb6d5bd6a472021-12-02T16:28:51ZHygroscopic properties of particulate matter and effects of their interactions with weather on visibility10.1038/s41598-021-95834-62045-2322https://doaj.org/article/723b36ca54db49358357edb6d5bd6a472021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95834-6https://doaj.org/toc/2045-2322Abstract 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, $$f\left( {RH} \right)$$ f RH , and the hygroscopic mass growth, $$GM_{VIS}$$ G M VIS , 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 $$f\left( {RH} \right)$$ f RH agreed well with the observed $$f\left( {RH} \right)$$ 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.Wan-Sik WonRosy OhWoojoo LeeSungkwan KuPei-Chen SuYong-Jin YoonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wan-Sik Won Rosy Oh Woojoo Lee Sungkwan Ku Pei-Chen Su Yong-Jin Yoon Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
description	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, $$f\left( {RH} \right)$$ f RH , and the hygroscopic mass growth, $$GM_{VIS}$$ G M VIS , 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 $$f\left( {RH} \right)$$ f RH agreed well with the observed $$f\left( {RH} \right)$$ 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.
format	article
author	Wan-Sik Won Rosy Oh Woojoo Lee Sungkwan Ku Pei-Chen Su Yong-Jin Yoon
author_facet	Wan-Sik Won Rosy Oh Woojoo Lee Sungkwan Ku Pei-Chen Su Yong-Jin Yoon
author_sort	Wan-Sik Won
title	Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
title_short	Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
title_full	Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
title_fullStr	Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
title_full_unstemmed	Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
title_sort	hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/723b36ca54db49358357edb6d5bd6a47
work_keys_str_mv	AT wansikwon hygroscopicpropertiesofparticulatematterandeffectsoftheirinteractionswithweatheronvisibility AT rosyoh hygroscopicpropertiesofparticulatematterandeffectsoftheirinteractionswithweatheronvisibility AT woojoolee hygroscopicpropertiesofparticulatematterandeffectsoftheirinteractionswithweatheronvisibility AT sungkwanku hygroscopicpropertiesofparticulatematterandeffectsoftheirinteractionswithweatheronvisibility AT peichensu hygroscopicpropertiesofparticulatematterandeffectsoftheirinteractionswithweatheronvisibility AT yongjinyoon hygroscopicpropertiesofparticulatematterandeffectsoftheirinteractionswithweatheronvisibility
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Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility

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