Reducing the central mode particulate matter in coal combustion by additives: Impacts of nano Al2O3 and TiO2 addition

Fuel ◽  
2022 ◽  
Vol 312 ◽  
pp. 122989
Author(s):  
Yishu Xu ◽  
Xiaowei Liu ◽  
Jingji Zhu ◽  
Kai Zhang ◽  
Huakun Wang ◽  
...  
2007 ◽  
Vol 31 (2) ◽  
pp. 1947-1954 ◽  
Author(s):  
Yun Yu ◽  
Minghou Xu ◽  
Hong Yao ◽  
Dunxi Yu ◽  
Yu Qiao ◽  
...  

2020 ◽  
Author(s):  
Amir Yazdani ◽  
Nikunj Dudani ◽  
Satoshi Takahama ◽  
Amelie Bertrand ◽  
André S. H. Prévôt ◽  
...  

<p>Particulate matter (PM) affects visibility and climate through light scattering, direct and indirect radiative forcing, and affecting cloud formation [1]. In addition, exposure to ambient fine PM is estimated to have caused 8.9 million deaths worldwide in 2015 [2]. Organic matter (OM), can make up more than half of total fine atmospheric PM, and yet its composition, formation mechanisms, and adverse health effects are not fully characterized due to its sheer compositional complexity. Biomass burning (e.g., residential wood burning, wildfires, and prescribed burning) and coal combustion (for heat and power generation) are two major OM sources, for which the impact of atmospheric aging - including secondary organic aerosol (SOA) formation - is not yet fully clear [3].</p><p>In this study, we investigated the effect of aging on composition and mass concentration of organic aerosols of wood burning (WB) and coal combustion (CC) emissions using two complementary methods, i.e., mid-infrared spectroscopy and aerosol mass spectrometry (AMS). For this purpose, primary aerosols were injected into the Paul Scherrer Institute (PSI) environmental chamber and aged using hydroxyl and nitrate radicals to simulate day-time and night-time oxidation processes in the atmosphere. In these experiments, aerosols reached an oxidative age comparable to that of atmospheric aerosols. A time-of-flight AMS instrument was used to measure the high-time-resolution composition of non-refractory fine PM, while we collected PM<sub>1 </sub>aerosols on PTFE filters before and after four hours of aging for off-line Fourier transform-infrared spectroscopy (FT-IR) measurements.</p><p>AMS and FT-IR estimates of organic aerosol mass concentration were highly correlated (r<sup>2</sup>=0.92); both indicating an approximately three-fold increase in organic aerosol concentration after aging. The OM/OC ratio, indicating the extent of oxidation also agreed closely between the two instruments and increased, on average, from 1.6 (before aging) to 2 (after aging). Mid-infrared spectroscopy, which is able to differentiate among oxygenated species, shows a distinct functional group composition for aged WB aerosols (high abundance of carboxylic acids) and CC aerosols (high abundance of non-acid carbonyls) and detects considerable amounts polycyclic aromatic hydrocarbons (PAHs) for both sources. Mid-infrared spectra of fresh WB and CC aerosols are reminiscent of their parent compounds with differences in specific functional groups suggesting the dominant oxidation pathways for each emission source. Finally, the comparison of mid-infrared spectra of aged WB aerosols in the environmental chamber with that of ambient samples affected by residential wood burning and wildfires reveals interesting similarities regarding the high abundance of alcohols and visible signatures of lignin. This finding is useful for interpreting sources of atmospheric aerosols and better interpretation of their complex mid-infrared spectra.</p><p>--------------------------</p><p>REFERENCES</p><p>[1] M. Hallquist et al., “The formation, properties and impact of secondary organic aerosol: current and emerging issues,” Atmos Chem Phys, 2009.</p><p>[2] R. Burnett et al., “Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter,” Proc. Natl. Acad. Sci., 2018.</p><p>[3] A. Bertrand et al., “Primary emissions and secondary aerosol production potential from woodstoves for residential heating: Influence of the stove technology and combustion efficiency,” Atmos. Environ., 2017.</p>


2011 ◽  
Vol 71-78 ◽  
pp. 2867-2872 ◽  
Author(s):  
Dang Yu Song ◽  
Cun Bei Yang

A total of 28 atmospheric particulate matter samples were collected at Henan Polytechnic University in the southeast of Jiaozuo city during October to December 2010. The daily concentrations of PM10 vary from 190.76 to 670.14 μg/m3, with the average concentration of 359.36 μg/m3. The concentrations of Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, Fe, Cu, Zn, Mn and Pb in PM10 are determined by Energy Dispersive X-Ray Fluorescence (EDXRF). The result shows that the fifteen elements quality accounts for 17.3%~36.7% of total mass. The X-ray diffraction (XRD) results show that six minerals are identified in the atmospheric particles. They are quartz, gypsum, kaolinite, sal-ammoniac, calcite, and albite, which account for 29%, 29%, 18%, 17%, 4% and 3%, respectively. The principle component analysis (PCA) model is used for source apportionment of PM10. The research results show that there are four sources: architecture/smelting action, coal combustion/traffic action, soil dust and particular industrial action.


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