Evaluation of PM10 and PM2.5 Concentrations from Online Light Scattering Dust Monitors Using Gravimetric and Beta-ray Absorption Methods

Lee, Bok-Jin; Park, Seungshik

doi:10.5572/kosae.2019.35.3.357

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…Research on the field monitoring of aerosols in livestock facilities has predominantly utilized gravimetric methods, which involve capturing airborne particulate matter in filters to measure the PM concentrations in representative areas inside the barn [20,23,[27][28][29][30]. For real-time monitoring in the air, the optical scattering method has been recently used, measuring scattered light on suspended particulate matter to determine the concentration of particulate matter [31,32]. A previous analysis of particulate matter showed that as the activity of chickens increased, the concentration of PM inside the poultry house also increased [33].…”

Section: Introductionmentioning

confidence: 99%

Managemental Impacts on Particulate Matter Emission in Tunnel-Ventilated Broiler Houses

Seo,

2024

Agriculture

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In livestock houses, particulate matter (PM) is a critical factor not only for disease and odor spread but also for the work environment. In particular, workers are exposed to high concentrations of organic particulate matter and harmful gases while performing their tasks, and, as they age, they become more vulnerable to respiratory diseases. This study analyzed the PM concentrations in commercial broiler houses, focusing on the differences in ventilation rates according to the season and the type of work, categorized into a static work period (SWP) and dynamic work period (DWP). In the regional monitoring using gravimetric methods, the average PM concentrations were found to be within acceptable limits, with TSP at 1042 µg/m3, PM-10 at 718 µg/m3, and PM-2.5 at 137 µg/m3. These values did not exceed the recommended exposure limits for inhalable dust at 2400 µg/m3 and respirable dust at 160 µg/m3 in chicken farmers. However, in the personal monitoring using a real-time aerosol spectrometer, it was revealed that the aerosol concentrations during DWP exceeded the standards by up to 214%. Specifically, during DWP, the concentrations were 1.74 times higher for TSP, 1.40 times higher for PM-10, and 1.22 times higher for PM-2.5 compared to SWP. It was observed that during the movement of workers, the physical generation of particles around 10 µm, such as feed and bedding, occurred due to the movement of chickens, which influenced the aerosol concentration.

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Section: Introductionmentioning

confidence: 99%

Managemental Impacts on Particulate Matter Emission in Tunnel-Ventilated Broiler Houses

Seo,

2024

Agriculture

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“…As the risk of exposure to fine dust increases, studies have been conducted to measure the concentration of fine dust in the air such as light scattering method, weight method, and beta rays in order to avoid or prepare for exposure to the fine dust [4,5]. Optical particle counter is the most popular measurement method in recent years because it is cost-effective, portable, and can be measured in real-time.…”

Section: Introductionmentioning

confidence: 99%

MEMS particle sensor based on resonant frequency shifting

Choi

Park

2020

Micro and Nano Syst Lett

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Recently, as the concentration of fine dust in the atmosphere has increased due to an increase in the use of fossil fuel power plants, automobiles, and factories, it has been increasingly important to measure fine dust in the atmosphere. This is because exposure to fine dust is closely related to the incidence of respiratory and cardiovascular diseases and eventually affects mortality. In this paper, we introduce a MEMS particle sensor based on the resonance frequency shift according to added particle mass. The actuation is driven by Aluminum nitride (AlN), and the total thickness is 2.8 μm. A laser doppler vibrometer (LDV), an optical measuring instrument, was used to measure the resonance frequency of the sensor. Airborne particles naturally were deposited on the sensor. To show the frequency shift according to the particle mass, the frequency shift was measured by dividing the case where the deposited particle mass was small and large. In each case, the frequency shift according to the deposited particle mass was predicted and compared with the frequency shift measured by LDV. It was shown that the deposited particle mass and frequency shift are proportional. The deposition of particulate mass was estimated by image analysis. The frequency shift caused by the particle mass deposited on the sensor was defined as the sensitivity of the sensor. The estimated sensitivity of the sensor is 0.219 to 0.354 kHz/pg.

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Micro Dust Detection System Based on Multi Particle Detector and Data Transfer to Server System

Han

Lee

Kim³

et al. 2021

2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)

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Evaluation of PM10 and PM2.5 Concentrations from Online Light Scattering Dust Monitors Using Gravimetric and Beta-ray Absorption Methods

Cited by 9 publications

References 22 publications

Managemental Impacts on Particulate Matter Emission in Tunnel-Ventilated Broiler Houses

Managemental Impacts on Particulate Matter Emission in Tunnel-Ventilated Broiler Houses

MEMS particle sensor based on resonant frequency shifting

Micro Dust Detection System Based on Multi Particle Detector and Data Transfer to Server System

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