scholarly journals Evaluation of Performance of Inexpensive Laser Based PM2.5 Sensor Monitors for Typical Indoor and Outdoor Hotspots of South Korea

2019 ◽  
Vol 9 (9) ◽  
pp. 1947 ◽  
Author(s):  
Sungroul Kim ◽  
Sujung Park ◽  
Jeongeun Lee
Keyword(s):  
Particulate Matter ◽  
South Korea ◽  
Environmental Protection Agency ◽  
Urban Traffic ◽  
Monitoring Site ◽  
Strongly Correlated ◽  
Correction Factors ◽  
Evaluation Of Performance ◽  
Pan Frying ◽  
Indoor And Outdoor

Inexpensive (<$300) real-time particulate matter monitors (IRMs), using laser as a light source, have been introduced for use with a Wi-Fi function enabling networking with a smartphone. However, the information of measurement error of these inexpensive but convenient IRMs are still limited. Using ESCORTAIR (ESCORT, Seoul, Korea) and PurpleAir (PA) (PurpleAir U.S.A.), we evaluated the performance of these two devices compared with the U.S. Environmental Protection Agency (EPA) Federal Equivalent Monitoring (FEM) devices, that is, GRIMM180 (GRIMM Aerosol, Germany) for the indoor measurement of pork panfrying or secondhand tobacco smoking (SHS) and Beta-ray attenuation monitor (BAM) (MetOne, Grants Pass, OR) for outdoor measurement at the national particulate matter (PM2.5) monitoring site near an urban traffic hotspot in Daejeon, South Korea, respectively. The PM2.5 concentrations measured by ESCORTAIR and PA were strongly correlated to FEM (r = 0.97 and 0.97 from indoor pan frying; 0.92 and 0.86 from indoor SHS; 0.85 and 0.88 from outdoor urban traffic hotspot). The two IRMs showed that PM2.5 mass concentrations were increased with increased outdoor relative humidity (RH) levels. However, after applying correction factors for RH, the Median (Interquartile range) of difference compared to FEM was (14.5 (6.1~23.5) %) for PA and 16.3 (8.5–28.0) % for ESCORTAIR, supporting their usage in the home or near urban hotspots.

scholarly journals Indoor and Outdoor Particulate Matter Concentrations in the Vicinity of Plastic Waste Processing Industries

2020 ◽  
Vol 616 ◽  
pp. 012015
Author(s):  
Sara Yasina Yusuf ◽  
Nur Alis Addiena A Rahim ◽  
Wan Zulaikha Wazam ◽  
Dewika Naidu ◽  
Ruwaida Jamian
Keyword(s):  
Particulate Matter ◽  
Plastic Waste ◽  
Waste Processing ◽  
Indoor And Outdoor

scholarly journals Association of Particulate Matter with Autoimmune Rheumatic Diseases among Adults in South Korea

Rheumatology ◽  
2021 ◽  
Author(s):  
Jun Seok Park ◽  
Seulggie Choi ◽  
Kyuwoong Kim ◽  
Jooyoung Chang ◽  
Sung Min Kim ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Adverse Effects ◽  
South Korea ◽  
Rheumatic Diseases ◽  
Lupus Erythematosus ◽  
Cox Regression ◽  
Statistical Significance ◽  
Cox Regression Analysis ◽  
Autoimmune Rheumatic Diseases ◽  
Quartile Group

Abstract Objective The primary objective is to investigate adverse effects of ambient particulate matter (PM) in various size on the incidence of prevalent autoimmune rheumatic diseases (AIRDs): Rheumatoid Arthritis (RA), Ankylosing Spondylitis (AS), and Systemic Lupus Erythematosus (SLE). Methods We investigated 230,034 participants in three metropolitan cities of South Korea from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). Starting from January 2010, subjects were followed up until the first event of prevalent AIRDs, death, or December 2013. 2008-2009 respective averages of PM2.5 (&lt; 2.5μm) and PMcoarse (2.5μm to 10μm) were linked with participants’ administrative district codes. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated using Cox regression analysis in one- and two-pollutant model. Results Adjusted for age, sex, region, and household income in two-pollutant model, RA incidence was positively associated with 10μg/m³ increment of PM2.5 (aHR = 1.74, 95% CI: 1.06-2.86), but not with PMcoarse (aHR = 1.27, 95% CI: 0.87-1.85). In one-pollutant model, an elevated incidence rate of RA was slightly attenuated (PM2.5 aHR = 1.61, 95% CI: 0.99-2.61; PMcoarse aHR = 1.13, 95% CI: 0.80-1.61), with marginal statistical significance of PM2.5. RA incidence was also higher in 4th quartile group of PM2.5 compared to 1st quartile group (aHR = 1.83, 95% CI: 1.07-3.11). No adverse effects of PM were found on AS or SLE in one- and two-pollutant models. Conclusion Important components of PM10 associated with RA incidence were fine fractions (PM2.5), while no positive association was found between PM and AS or SLE.

scholarly journals Carbonaceous Aerosols in Fine Particulate Matter of Santiago Metropolitan Area, Chile

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Richard Toro Araya ◽  
Robert Flocchini ◽  
Rául G. E. Morales Segura ◽  
Manuel A. Leiva Guzmán
Keyword(s):  
Particulate Matter ◽  
Organic Carbon ◽  
Environmental Protection Agency ◽  
Fine Particulate Matter ◽  
Warm Season ◽  
The United States ◽  
Carbonaceous Aerosol ◽  
World Health ◽  
Carbonaceous Aerosols ◽  
Fine Particulate

Measurements of carbonaceous aerosols in South American cities are limited, and most existing data are of short term and limited to only a few locations. For 6 years (2002–2007), concentrations of fine particulate matter and organic and elemental carbon were measured continuously in the capital of Chile. The contribution of carbonaceous aerosols to the primary and secondary fractions was estimated at three different sampling sites and in the warm and cool seasons. The results demonstrate that there are significant differences in the levels in both the cold (March to August) and warm (September to February) seasons at all sites studied. The percent contribution of total carbonaceous aerosol fine particulate matter was greater in the cool season (53 ± 41%) than in the warm season (44 ± 18%). On average, the secondary organic carbon in the city corresponded to 29% of the total organic carbon. In cold periods, this proportion may reach an average of 38%. A comparison of the results with the air quality standards for fine particulate matter indicates that the total carbonaceous fraction alone exceeds the World Health Organization standard (10 µg/m3) and the United States Environmental Protection Agency standard (15 µg/m3) for fine particulate matter.

scholarly journals GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia

2016 ◽  
Vol 9 (1) ◽  
pp. 17-39 ◽  
Author(s):  
S. Lee ◽  
C. H. Song ◽  
R. S. Park ◽  
M. E. Park ◽  
K. M. Han ◽  
...  
Keyword(s):  
Particulate Matter ◽  
South Korea ◽  
Northeast Asia ◽  
Initial Distribution ◽  
Low Earth Orbit ◽  
Optical Data ◽  
Future Research ◽  
Observation Data ◽  
Forecast System ◽  
Short Term

Abstract. To improve short-term particulate matter (PM) forecasts in South Korea, the initial distribution of PM composition, particularly over the upwind regions, is primarily important. To prepare the initial PM composition, the aerosol optical depth (AOD) data retrieved from a geostationary equatorial orbit (GEO) satellite sensor, GOCI (Geostationary Ocean Color Imager) which covers a part of Northeast Asia (113–146° E; 25–47° N), were used. Although GOCI can provide a higher number of AOD data in a semicontinuous manner than low Earth orbit (LEO) satellite sensors, it still has a serious limitation in that the AOD data are not available at cloud pixels and over high-reflectance areas, such as desert and snow-covered regions. To overcome this limitation, a spatiotemporal-kriging (STK) method was used to better prepare the initial AOD distributions that were converted into the PM composition over Northeast Asia. One of the largest advantages in using the STK method in this study is that more observed AOD data can be used to prepare the best initial AOD fields compared with other methods that use single frame of observation data around the time of initialization. It is demonstrated in this study that the short-term PM forecast system developed with the application of the STK method can greatly improve PM10 predictions in the Seoul metropolitan area (SMA) when evaluated with ground-based observations. For example, errors and biases of PM10 predictions decreased by  ∼  60 and  ∼  70 %, respectively, during the first 6 h of short-term PM forecasting, compared with those without the initial PM composition. In addition, the influences of several factors on the performances of the short-term PM forecast were explored in this study. The influences of the choices of the control variables on the PM chemical composition were also investigated with the composition data measured via PILS-IC (particle-into-liquid sampler coupled with ion chromatography) and low air-volume sample instruments at a site near Seoul. To improve the overall performances of the short-term PM forecast system, several future research directions were also discussed and suggested.

MODELING ATMOSPHERIC AIR POLLUTION OF AN INDUSTRIAL CITY WITH FINE PARTICULATE MATTER

2021 ◽  
pp. 62-75
Author(s):  
S. V. Kakareka ◽  
◽  
S. V. Salivonchyk ◽  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Urban Air Pollution ◽  
Road Transport ◽  
Monitoring Site ◽  
Atmospheric Air ◽  
Industrial City ◽  
Industrial Enterprises ◽  
Fine Particulate

The paper deals with the quantification of fine particulate matter (PM10) dispersion in atmospheric air of an industrial city using the AERMOD model by an example of Zhlobin (the Gomel oblast, Belarus). Model input data and procedures for the emission inventory and obtaining spatially distributed estimates are described. Emissions and dispersion of PM10 from the main categories of sources are considered, including industrial facilities, road and off-road mobile sources, domestic sector, and agriculture. It is shown that the main contribution to high PM10 concentrations in atmospheric air is made by industrial enterprises, the domestic sector, and road transport. The spatial pattern of urban air pollution is described. The simulation results are compared with the results of PM10 measurements at the monitoring site, their satisfactory consistency is demonstrated.

Abstract 16822: Dust Storms in the United States are Associated With Increased Cardiovascular Mortality

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
James L Crooks ◽  
Wayne Cascio ◽  
Madelyn Percy ◽  
Jeanette Reyes ◽  
Lucas Neas ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Particulate Matter ◽  
Cardiovascular Mortality ◽  
Environmental Protection Agency ◽  
The United States ◽  
Dust Storms ◽  
Ambient Particulate Matter ◽  
Protection Agency ◽  
The U.S

Introduction: Extreme weather events such as dust storms are predicted to become more frequent as the global climate warms through the 21st century. Studies of Asian, Saharan, Arabian, and Australian dust storms have found associations with cardiovascular and total non-accidental mortality and hospitalizations for stroke. However, the only population-level epidemiological work on dust storms in the United States was focused on a single small metropolitan area (Spokane, WA), and it is uncertain whether its null results are representative of the country as a whole. Hypothesis: Dust storms in the United States are associated with daily cardiovascular mortality. Methods: Dust storm incidence data (N=141), including date and approximate location, as well as meteorological station observations, were taken from the U.S. National Weather Service. County-level mortality data for the years 1993-2005 were acquired from the National Center for Health Statistics. Ambient particulate matter monitor concentrations were obtained from the U.S. Environmental Protection Agency. Inference was performed used conditional logistic regression models under a case-crossover design while accounting for the nonlinear effect of temperature. Results: We found a 9.5% increase in cardiovascular mortality at a two-day lag (95% CI: [0.31%,19.5%], p = 0.042). The results were robust to adjusting for heat waves and ambient particulate matter concentrations. Analysis of storms occurring only on days with <0.1 inches of precipitation strengthened these results and in addition yielded a mean daily increase of 4.0% across lags 0-5 (95% CI: [0.07%,20.8%], p = 0.046). In Arizona, the U.S. state with the largest number of storms, we observed a 13.0% increase at a three-day lag (CI: [0.40%,27.1%], p = 0.043). Conclusions: Dust storms in the U.S. are associated with increases in lagged cardiovascular mortality. This has implications for the development of public health advisories and suggests that further public health interventions may be needed. Disclaimer: This work does not represent official U.S. Environmental Protection Agency policy.

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