Review of online source apportionment research based on observation for ambient particulate matter

Wang, Feng; Yu, Haofei; Wang, Zhenyu; Liang, Weiqing; Shi, Guoliang; Gao, Jian; Li, Mei; Feng, Yinchang

doi:10.1016/j.scitotenv.2020.144095

Cited by 26 publications

(11 citation statements)

References 242 publications

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“…The details on source profiles are shown in Figure S2. Ca 2+ and Mg 2+ are the characteristic markers for road dust; OC, EC, SO 4 2– , and Cl – can be used as tracers to identify coal combustion; NO 3 – and NH 4 + are tracers of secondary nitrate; SO 4 2– and NH 4 + are tracers of secondary sulfate; OC, EC, and Mg 2+ are good indicators of vehicle exhaust; and biomass burning is an important source for Na + , K + , and Cl –. …”

Section: Methodsmentioning

confidence: 79%

Associations between Source-Specific Fine Particulate Matter and Mortality and Hospital Admissions in Beijing, China

Liu

Shi

et al. 2021

Environ. Sci. Technol.

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The health effects of PM2.5 exposure have become a major public concern in developing countries. Identifying major PM2.5 sources and quantifying the health effects at the population level are essential for controlling PM2.5 pollution and formulating targeted emissions reduction policies. In the current study, we have obtained PM2.5 mass data and used positive matrix factorization to identify the major sources of PM2.5. We evaluated the relationship between short-term exposure to PM2.5 sources and mortality or hospital admissions in Beijing, China, using 441 742 deaths and 9 420 305 hospital admissions from 2013 to 2018. We found positive associations for coal combustion and road dust sources with mortality. Increased hospital admission risks were significantly associated with sources of vehicle exhaust, coal combustion, secondary sulfates, and secondary nitrates. Compared to the cool season, excess mortality risk estimates of coal combustion source were significantly higher in the warm season. Our findings show that reducing more toxic sources of PM2.5, especially coal emissions, and developing clean energy alternatives can have critical implications for improving air quality and protecting public health.

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Section: Methodsmentioning

confidence: 79%

Associations between Source-Specific Fine Particulate Matter and Mortality and Hospital Admissions in Beijing, China

Liu

Shi

et al. 2021

Environ. Sci. Technol.

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“…In this model, information on chemical components (10-20 species) in each rainwater sample is required in the input files and the contributions of different aerosol types would be output (Pancras et al, 2013;Wang et al, 2020). In the present study, the concentrations of 13 elements, 4 water-soluble ions, WSOC, and BC (shown in Figure 1) were used as input parameters.…”

Section: Chemical Analysis and Source Apportionmentmentioning

confidence: 99%

Ice‐Nucleating Particle Concentrations and Sources in Rainwater Over the Third Pole, Tibetan Plateau

Chen

et al. 2021

JGR Atmospheres

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The ice‐nucleating particles (INPs) modulate the microphysics and radiative properties of clouds. However, less is known concerning their abundance and sources in the most pristine and climatic sensitive regions, such as the Tibetan Plateau (TP). Here, to our best knowledge, we conduct the first investigation on INPs in rainwater collected in the TP region under mixed‐phase cloud conditions. The value of INP concentrations varies from 0.002 to 0.675 L−1 air over the temperature range from −7.1 to −27.5°C. This is within the INP spectra derived from precipitation under worldwide geophysical conditions and is also comparable with INP concentrations in the Arctic regions. The heat‐sensitive INPs account for 57% ± 30% of the observed INPs at −20°C and become increasingly important at higher temperatures, indicating biological particles as major contributors to INPs at temperatures above −20°C over the TP, especially on the day with additional input of biogenic materials carried by dust particles. Chemical analysis demonstrates that the rainwater components are mixture of dust particles, marine aerosol, and anthropogenic pollutants. Combined with the backward trajectory analysis, we show that dust particles transported from the surrounding deserts and originated from ground surface of TP may contribute to the heat‐resistant INPs at temperatures below −20°C.

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“…However, as this method does not directly provide the mass concentration of PM, accurate measurement is impossible. Moreover, the measurement accuracy is easily affected by the PM size, composition, and humidity of the ambient air. , The TEOM method can realize precise measurement of PM mass concentration, but it is generally bulky and expensive and takes a long time for measurement. − The β-attenuation method is used for PM mass measurement based on a correlation between the intensity of the β radiation and the deposited PM mass on a filter. − This method can provide accurate measurements but is subject to interference error and influenced by the dust composition, particle size distribution, and density . In addition, as it uses a radiometric source to emit β particles, it is expensive and bulky.…”

Section: Introductionmentioning

confidence: 99%

“… 26 , 27 The TEOM method can realize precise measurement of PM mass concentration, but it is generally bulky and expensive and takes a long time for measurement. 28 − 30 The β-attenuation method is used for PM mass measurement based on a correlation between the intensity of the β radiation and the deposited PM mass on a filter. 31 − 33 This method can provide accurate measurements but is subject to interference error and influenced by the dust composition, particle size distribution, and density.…”

Section: Introductionmentioning

confidence: 99%

System Integration of an Optimally Designed Virtual Impactor with a QCM Sensor as a One-Stop PM_2.5 Classification and Detection Platform

Wang,

Mei,

et al. 2024

ACS Omega

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Excessive exposure to airborne particulate matter (PM), especially PM 2.5 particles, adversely affects human health. Conventional PM 2.5 detection instruments based on light scattering are generally bulky, expensive, and easily affected by particle size and composition. Here, we report a low-cost and compact one-stop PM 2.5 detection platform by integrating a threedimensional (3D) printed virtual impactor with a QCM sensor. To reduce eddy and airflow impact on the side wall and improve the VI lifetime, a computational fluid dynamics simulation is used to optimize the VI structure. Results show that when the included angle between the minor flow channel and the inner side of the major flow channel is 40−45°and the included angle between the inlet channel and the outside wall of the major flow channel is 125°, the VI has a relatively small particle loss, eddy, and good collection efficiency. Finally, the system detection performance is experimentally evaluated with a sensitivity of 0.08 Hz/min per μg/m 3 , showing a comparable performance with the commercial instrument.

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Review of online source apportionment research based on observation for ambient particulate matter

Cited by 26 publications

References 242 publications

Associations between Source-Specific Fine Particulate Matter and Mortality and Hospital Admissions in Beijing, China

Associations between Source-Specific Fine Particulate Matter and Mortality and Hospital Admissions in Beijing, China

Ice‐Nucleating Particle Concentrations and Sources in Rainwater Over the Third Pole, Tibetan Plateau

System Integration of an Optimally Designed Virtual Impactor with a QCM Sensor as a One-Stop PM_2.5 Classification and Detection Platform

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Review of online source apportionment research based on observation for ambient particulate matter

Cited by 26 publications

References 242 publications

Associations between Source-Specific Fine Particulate Matter and Mortality and Hospital Admissions in Beijing, China

Associations between Source-Specific Fine Particulate Matter and Mortality and Hospital Admissions in Beijing, China

Ice‐Nucleating Particle Concentrations and Sources in Rainwater Over the Third Pole, Tibetan Plateau

System Integration of an Optimally Designed Virtual Impactor with a QCM Sensor as a One-Stop PM2.5 Classification and Detection Platform

Contact Info

Product

Resources

About

System Integration of an Optimally Designed Virtual Impactor with a QCM Sensor as a One-Stop PM_2.5 Classification and Detection Platform