Aerosol Density Determined Using Micro-orifice Uniform Deposit Impactor and Aerosol Dust Monitors Data at Seoul

Kim, Jeongeun; Lee, Hae Young

doi:10.5572/kosae.2010.26.3.298

Journal of Korean Society for Atmospheric Environment

2010

DOI: 10.5572/kosae.2010.26.3.298

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Aerosol Density Determined Using Micro-orifice Uniform Deposit Impactor and Aerosol Dust Monitors Data at Seoul

Jeongeun Kim¹,

Hae Young Lee²

Abstract: 서 론입자의 AbstractIn order to calculate the aerosol bulk densities of PM 1.0 and PM 10 , aerosol mass and number concentrations were measured for the period of December 2008~April 2009. PM 1.0 and PM 10 mass concentrations were measured using a cascade impactor (Micro-Orifice Uniform Deposit Impactor, MOUDI) while their volume concentrations were calculated based on number concentrations from an environmental dust monitor (EDM). Normal aerosol size distribution fitting functions were retrieved for number size dis… Show more

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Cited by 3 publications

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“…Allen et al (2001) utilised the 10-stage MOUDI instrument in their study, resolving aerosol size fractions [294]. The incorporation of input and backup phases facilitates particulate capture in twelve particle sizes ranging from 0.066 µm to 19.5 µm, utilising PTFE filtering surfaces at a flow rate of 25.5 L/min.Researchers have corroborated and employed MOUDI for various applications, including aerosol particle size and mass distribution, as well as aerosol density[295][296][297][298][299][300][301].…”

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“…The incorporation of input and backup phases facilitates particulate capture in twelve particle sizes ranging from 0.066 µm to 19.5 µm, utilising PTFE filtering surfaces at a flow rate of 25.5 L/min. Researchers have corroborated and employed MOUDI for various applications, including aerosol particle size and mass distribution, as well as aerosol density[295][296][297][298][299][300][301].Personal Cascade Impactor Sampler (PCIS): The Personal Cascade Impactor Sampler (PCIS) is a miniaturised cascade impactor equipped with four impaction stages and an after-filter[302]. Its functionality involves the separation of particles into distinct aerodynamic diameter ranges: less than 0.25, 0.25-0.5, 0.5-1.0, 1.0-2.5, and 2.5-10 µm.…”

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confidence: 99%

See 1 more Smart Citation

Review on Sampling Methods and Health Impacts of Fine (PM2.5, ≤2.5 µm) and Ultrafine (UFP, PM0.1, ≤0.1 µm) Particles

Chauhan,

Corada,

Young

et al. 2024

Atmosphere

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Airborne particulate matter (PM) is of great concern in the modern-day atmosphere owing to its association with a variety of health impacts, such as respiratory and cardiovascular diseases. Of the various size fractions of PM, it is the finer fractions that are most harmful to health, in particular ultrafine particles (PM0.1; UFPs), with an aerodynamic diameter ≤ 100 nm. The smaller size fractions, of ≤2.5 µm (PM2.5; fine particles) and ≤0.1 µm (PM0.1; ultrafine particles), have been shown to have numerous linkages to negative health effects; however, their collection/sampling remains challenging. This review paper employed a comprehensive literature review methodology; 200 studies were evaluated based on the rigor of their methodologies, including the validity of experimental designs, data collection methods, and statistical analyses. Studies with robust methodologies were prioritised for inclusion. This review paper critically assesses the health risks associated with fine and ultrafine particles, highlighting vehicular emissions as the most significant source of particulate-related health effects. While coal combustion, diesel exhaust, household wood combustors’ emissions, and Earth’s crust dust also pose health risks, evidence suggests that exposure to particulates from vehicular emissions has the greatest impact on human health due to their widespread distribution and contribution to air pollution-related diseases. This article comprehensively examines current sampling technologies, specifically focusing on the collection and sampling of ultrafine particles (UFP) from ambient air to facilitate toxicological and physiochemical characterisation efforts. This article discusses diverse approaches to collect fine and ultrafine particulates, along with experimental endeavours to assess ultrafine particle concentrations across various microenvironments. Following meticulous evaluation of sampling techniques, high-volume air samplers such as the Chem Vol Model 2400 High Volume Cascade Impactor and low-volume samplers like the Personal Cascade Impactor Sampler (PCIS) emerge as effective methods. These techniques offer advantages in particle size fractionation, collection efficiency, and adaptability to different sampling environments, positioning them as valuable tools for precise characterisation of particulate matter in air quality research and environmental monitoring.

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mentioning

confidence: 99%

mentioning

confidence: 99%

Review on Sampling Methods and Health Impacts of Fine (PM2.5, ≤2.5 µm) and Ultrafine (UFP, PM0.1, ≤0.1 µm) Particles

Chauhan,

Corada,

Young

et al. 2024

Atmosphere

View full text Add to dashboard Cite

show abstract

Classification of High-Concentration Aerosol Phenomena Using Their Physical Properties in Busan, South Korea

2022

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High concentrations of aerosols associated with various meteorological phenomena show different physical characteristics. Because these phenomena are differentiated based on the visibility observed with the eyes, the observation may be unreliable. To investigate aerosol physical properties across various meteorological phenomena and develop an algorithm to classify high-concentration aerosol events, each phenomenon was assessed by analyzing the aerosol number and mass concentrations according to particle size observed with an optical particle counter. Furthermore, the optimal probability density function for each phenomenon was derived using the mass concentration by diameter. In addition, total aerosol mass concentrations, geometric mean particle diameters, and geometric standard deviations were calculated. In the coarse mode, the total mass concentration of the Asian dust case was the highest (16.3 μg·cm−3), whereas in the accumulation mode, the haze value was greatest (22.86 μg·cm−3). Average diameters were 4.41 and 0.41 μm in the coarse and accumulation modes, respectively. A classification algorithm for high-concentration aerosol phenomena was proposed based on the determined physical properties, results of simulating long-distance transport using a backward trajectory model, and meteorological conditions. Among the nine verification cases, all the cases coincided with the observation results of the Korea Meteorological Administration.

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Regional Characteristics of Particle Size Distribution of PM₁₀

Lee¹,

Lee，Ki-Jong²,

Lee³

et al. 2012

Journal of Korean Society for Atmospheric Environment

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The purpose of this study is to propose management strategies to lower the level of PM 10 concentration. First, this study analyzes the characteristics of particle sizes in three different areas, the residential, the roadside, and the industrial areas. Second, it has examined the size of particles which can influence on the increase of PM 10 concentration level. The distribution of particle size for PM 10 concentration was not different by regions. The highest portion in the observed PM 10 is near 0.3 μm. In addition, both near 2.5 μm and near 5.0 μm are found higher in portion. The fractions of PM 1.0 and PM 2.5 in PM 10 are 68.2% and 75.8% respectively. The fraction of PM 1.0 in PM 2.5 is 89.8%.The particle diameters contributed to the increase of PM 10 concentration are different by regions. In the residential area, the sizes of near 0.6 μm and near 3.3 μm particles are found to be the cause for the increase of PM 10 concentration level. However the particle sizes for the increase of PM 10 concentration level are 0.8 μm and 0.5 μm in roadside and industrial area respectively. Therefore, fine particles are found as the key factors to raise PM 10 concentration level in the two areas, while both fine and coarse particles are in the residential areas.When examined the PM 10 concentration level change, it was categorized by two different time zones, the high concentration level time and the lower concentration time. In high concentration time, the PM 10 concentration has increased in the morning in the residential and roadside areas. On the contrary, the level has increased in the evening in the industrial area. In low concentration time, the level of PM 10 concentration in the roadside area is significantly higher in the morning than the concentration level of other times. There is no significantly different concentration level found in the both residential and industrial areas throughout the day.

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Aerosol Density Determined Using Micro-orifice Uniform Deposit Impactor and Aerosol Dust Monitors Data at Seoul

Cited by 3 publications

References 12 publications

Review on Sampling Methods and Health Impacts of Fine (PM2.5, ≤2.5 µm) and Ultrafine (UFP, PM0.1, ≤0.1 µm) Particles

Review on Sampling Methods and Health Impacts of Fine (PM2.5, ≤2.5 µm) and Ultrafine (UFP, PM0.1, ≤0.1 µm) Particles

Classification of High-Concentration Aerosol Phenomena Using Their Physical Properties in Busan, South Korea

Regional Characteristics of Particle Size Distribution of PM₁₀

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Aerosol Density Determined Using Micro-orifice Uniform Deposit Impactor and Aerosol Dust Monitors Data at Seoul

Cited by 3 publications

References 12 publications

Review on Sampling Methods and Health Impacts of Fine (PM2.5, ≤2.5 µm) and Ultrafine (UFP, PM0.1, ≤0.1 µm) Particles

Review on Sampling Methods and Health Impacts of Fine (PM2.5, ≤2.5 µm) and Ultrafine (UFP, PM0.1, ≤0.1 µm) Particles

Classification of High-Concentration Aerosol Phenomena Using Their Physical Properties in Busan, South Korea

Regional Characteristics of Particle Size Distribution of PM10

Contact Info

Product

Resources

About

Regional Characteristics of Particle Size Distribution of PM₁₀