scholarly journals Small-Angle Particle Counting Coupled Photometry for Real-Time Detection of Respirable Particle Size Segmentation Mass Concentration

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5977
Author(s):  
Rongrui Zhang ◽  
Heng Zhao
Keyword(s):  
Air Pollution ◽  
Particle Size ◽  
Light Scattering ◽  
Real Time ◽  
Small Angle ◽  
Mass Concentration ◽  
Inhalable Particles ◽  
Particle Counting ◽  
Measurement Results ◽  
Concentration Changes

Respirable particulate matter air pollution is positively associated with SARS-CoV-2 mortality. Real-time and accurate monitoring of particle concentration changes is the first step to prevent and control air pollution from inhalable particles. In this research, a new light scattering instrument has been developed to detect the mass concentration of inhalable particles. This instrument couples the forward small-angle single particle counting method with the lateral group particle photometry method in a single device. The mass concentration of four sizes of inhalable particles in the environment can be detected simultaneously in a large area in real-time without using a particle impactor. Different from the traditional light scattering instrument, this new optical instrument can detect darker particles with strong light absorption, and the measurement results mainly depend on the particle size and ignore the properties of the particles. Comparative experiments have shown that the instrument can detect particles with different properties by simply calibrating the environmental density parameters, and the measurement results have good stability and accuracy.

Morphological Compared Study of PM2.5 Particles in Air Pollution of Ulaanbaatar

2021 ◽  
Vol 323 ◽  
pp. 119-124
Author(s):  
Norovsambuu Tuvjargal ◽  
L. Enkhtsetseg ◽  
D. Shagjjamba ◽  
P. Zuzaan ◽  
Tsenddavaa Amartaivan
Keyword(s):  
Air Pollution ◽  
Particle Size ◽  
Particulate Matter ◽  
Solid Fuel ◽  
Fuel Combustion ◽  
Particulate Matters ◽  
Irregular Shapes ◽  
Measurement Results ◽  
Solid Fuel Combustion ◽  
Morphological Distribution

In this study, we report a change of morphological distribution for PM2.5 air pollution in Ulaanbaatar. Comparing the measurement results in 2011 and 2017 the concentration of particle size 0.8μm was decreased from 92% to 76.7%. Among winter samples in 2011 it is identified 0.4-0.8μm sized particles covering 48.8% of total, and for samples in 2017 it is 61.7%. This shows that 0.4-0.8 microns of particulate matter predominate in the air pollution caused by solid fuel combustion. The 66.8% of the particles identified <0.8μm sized are in summer samples in 2011. This percentage has increased up to 94.5% in the samples in 2017. It is having been to the most harmful fraction of particulate matters for human health. About particulate shapes distribution, irregular shapes dominated in winter in 2011 and sphere shapes dominated in summer samples. While irregular shapes dominated in the samples in 2017, it was independent of season. This provides on origin of pollution, for example, the summer PM2.5 pollution is sphere shape from the soil in summer and winter PM2.5 pollution is irregular from the solid fuel combustion. This is a pilot compared study of PM2.5 particles in air pollution of Ulaanbaatar.

scholarly journals A New Angular Light Scattering Measurement of Particulate Matter Mass Concentration for Homogeneous Spherical Particles

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2243
Author(s):  
Dong Chen ◽  
Xiaowei Liu ◽  
Jinke Han ◽  
Meng Jiang ◽  
Zhaofeng Wang ◽  
...  
Keyword(s):  
Particle Size ◽  
Particulate Matter ◽  
Real Time ◽  
Mass Concentration ◽  
Power Plants ◽  
The Real ◽  
Particulate Matter Concentration ◽  
Matter Concentration ◽  
Fixed Detector ◽  
Measured Particle

Under the condition of ultra-low emission for power plants, the particulate matter concentration is significantly lower than that of typical power plants a decade ago, which posed new challenges for the particulate matter monitoring of stationary emission. The monitoring of particulate matter mass concentration based on ensemble light scattering has been found affected by particle size. Thus, this study develops a method of using the scattering angular distribution to obtain the real-time particle size, and then correct the particulate matter concentration with the real-time measured particle size. In this study, a real-time aerosol concentration and particle size measurement setup is constructed with a fixed detector at the forward direction and a rotating detector. The mass concentration is measured by the fixed detector, and the particle size is measured from the intensity ratio of the two detectors. The simulations show that the particle size has power law functionality with the angular spacing of the ripple structure according to Mie theory. Four quartz aerosols with different particle size are tested during the experiment, and the particle size measured from the ripple width is compared with the mass median size measured by an electrical low pressure impactor (ELPI). Both techniques have the same measurement tendency, and the measurement deviation by the ripple width method compared with ELPI is less than 15%. Finally, the measurement error of the real-time mass concentration is reduced from 38% to 18% with correction of the simultaneously measured particle size when particle size has changed.

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