The effects of particulate matter on atopic dermatitis symptoms are influenced by weather type: Application of spatial synoptic classification (SSC)

2018 ◽  
Vol 221 (5) ◽  
pp. 823-829 ◽  
Author(s):  
Young-Min Kim ◽  
Jihyun Kim ◽  
Kwon Jung ◽  
Soomi Eo ◽  
Kangmo Ahn
Keyword(s):  
Atopic Dermatitis ◽  
Particulate Matter ◽  
Weather Type ◽  
Synoptic Classification ◽  
Spatial Synoptic Classification

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

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wan-Sik Won ◽  
Rosy Oh ◽  
Woojoo Lee ◽  
Sungkwan Ku ◽  
Pei-Chen Su ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Light Scattering ◽  
Low Cost ◽  
Weather Type ◽  
Hygroscopic Growth ◽  
Weather Factors ◽  
Mass Growth ◽  
Hygroscopic Properties ◽  
Weather Observations ◽  
Censored Regression Model

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, $$f\left( {RH} \right)$$ 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.

scholarly journals Particulate Matter Mortality Rates and Their Modification by Spatial Synoptic Classification

2019 ◽  
Vol 16 (11) ◽  
pp. 1904 ◽  
Author(s):  
Jayeun Kim
Keyword(s):  
Air Pollution ◽  
Age Groups ◽  
Mortality Rates ◽  
Daily Mortality ◽  
Synoptic Classification ◽  
Respiratory Mortality ◽  
Pollution Levels ◽  
Particulate Air Pollution ◽  
Spatial Synoptic Classification ◽  
Highly Correlated

Air pollution levels are highly correlated with temperature or humidity, so we investigated the relationship between PM10 and the spatial synoptic classification (SSC) scheme on daily mortality, according to age group and season. Daily death data for 2000–2014 from Seoul, Korea, were acquired, and time-series analysis was applied with respect to season and to each of seven distinct SSC types: dry moderate (DM); dry polar (DP); dry tropical (DT); moist moderate (MM); moist polar (MP); moist tropical (MT); and transition (T). Modification effects were estimated for daily, non-accidental, cardiovascular, and respiratory mortality between PM10 and SSC types. The following SSC-type-specific increased mortalities were observed, by cause of death: non-accidental mortality: DT (1.86%) and MT (1.86%); cardiovascular mortality: DT (2.83%) and MM (3.00%); respiratory mortality: MT (3.78%). Based on simplified weather types, increased PM10 effects in non-accidental mortality rates were observed in dry (1.54%) and moist (2.32%) conditions among those aged 40–59 years and were detected regardless of conditions in other age groups: 60–74 (1.11%), 75–84 (1.55%), and 85+ (1.75%). The effects of particulate air pollution, by SSC, suggest the applicability of SSC to the comparison and understanding of acute effects of daily mortality based on weather type.

Development of a spatial synoptic classification scheme for western Europe

2007 ◽  
Vol 27 (15) ◽  
pp. 2017-2040 ◽  
Author(s):  
Donna Bower ◽  
Glenn R. McGregor ◽  
David M. Hannah ◽  
Scott C. Sheridan
Keyword(s):  
Western Europe ◽  
Classification Scheme ◽  
Synoptic Classification ◽  
Spatial Synoptic Classification

A NEW SPATIAL SYNOPTIC CLASSIFICATION: APPLICATION TO AIR-MASS ANALYSIS

1996 ◽  
Vol 16 (9) ◽  
pp. 983-1004 ◽  
Author(s):  
LAURENCE S. KALKSTEIN ◽  
MICHAEL C. NICHOLS ◽  
C. DAVID BARTHEL ◽  
J. SCOTT GREENE
Keyword(s):  
Mass Analysis ◽  
Air Mass ◽  
Synoptic Classification ◽  
Spatial Synoptic Classification

Fermented blueberry and black rice containing Lactobacillus plantarum MG4221: a novel functional food for particulate matter (PM2.5)/dinitrochlorobenzene (DNCB)-induced atopic dermatitis

2021 ◽  
Vol 12 (8) ◽  
pp. 3611-3623
Author(s):  
Seong Min Hong ◽  
Min Cheol Kang ◽  
Mirim Jin ◽  
Taek Hwan Lee ◽  
Beong Ou Lim ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Atopic Dermatitis ◽  
Risk Factor ◽  
Particulate Matter ◽  
Lactobacillus Plantarum ◽  
Functional Food ◽  
Black Rice

Particulate matter (PM2.5) is a risk factor for the deterioration of atopic dermatitis (AD) and certain constituents of PM2.5 can induce inflammation via oxidative stress.

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