Source contribution of atmospheric aerosols in Bangkok metropolitan area by CMB8 receptor model

2004 ◽  
Vol 21 (1) ◽  
pp. 80 ◽  
Author(s):  
A. Wangkiat ◽  
N.W. Harvey ◽  
H. Garivait ◽  
S. Okamoto
1992 ◽  
Vol 02 (04) ◽  
pp. 665-678 ◽  
Author(s):  
M. Kasahara ◽  
K-.C. Choi ◽  
K. Takahashi

More than 3,000 aerosol samples have been collected since 1986 in Kyoto under various meteorological and environmental conditions, including episodic air pollution events such as heavy air pollution, Kosa dust, very clean air, etc. The elemental concentrations of these aerosol samples were determined by PIXE techniques, and elemental concetration data were used to estimate a source contribution of aerosols by applying a receptor model. The concentrations of Si, K, Ca, Ti and Fe in both coarse and fine fractions increased tremendously at Kosa event. The maximum source contribution of soil dust amounted to 140 μg/m3 for a six hour average during a Kosa event. On the other hand, the concentrations of S, Zn, Pb and Cu in the fine fraction increased remarkably during heavy air pollution and photochemical smog events.


Author(s):  
Ediclê De Souza Fernandes Duarte ◽  
Philipp Franke ◽  
Anne Caroline Lange ◽  
Elmar Friese ◽  
Fábio Juliano da Silva Lopes ◽  
...  

2016 ◽  
Vol 16 (2) ◽  
pp. 777-797 ◽  
Author(s):  
A Vara-Vela ◽  
M. F. Andrade ◽  
P. Kumar ◽  
R. Y. Ynoue ◽  
A. G. Muñoz

Abstract. The objective of this work is to evaluate the impact of vehicular emissions on the formation of fine particles (PM2.5;  ≤  2.5 µm in diameter) in the Sao Paulo Metropolitan Area (SPMA) in Brazil, where ethanol is used intensively as a fuel in road vehicles. The Weather Research and Forecasting with Chemistry (WRF-Chem) model, which simulates feedbacks between meteorological variables and chemical species, is used as a photochemical modelling tool to describe the physico-chemical processes leading to the evolution of number and mass size distribution of particles through gas-to-particle conversion. A vehicular emission model based on statistical information of vehicular activity is applied to simulate vehicular emissions over the studied area. The simulation has been performed for a 1-month period (7 August–6 September 2012) to cover the availability of experimental data from the NUANCE-SPS (Narrowing the Uncertainties on Aerosol and Climate Changes in Sao Paulo State) project that aims to characterize emissions of atmospheric aerosols in the SPMA. The availability of experimental measurements of atmospheric aerosols and the application of the WRF-Chem model made it possible to represent some of the most important properties of fine particles in the SPMA such as the mass size distribution and chemical composition, besides allowing us to evaluate its formation potential through the gas-to-particle conversion processes. Results show that the emission of primary gases, mostly from vehicles, led to a production of secondary particles between 20 and 30 % in relation to the total mass concentration of PM2.5 in the downtown SPMA. Each of PM2.5 and primary natural aerosol (dust and sea salt) contributed with 40–50 % of the total PM10 (i.e. those  ≤  10 µm in diameter) concentration. Over 40 % of the formation of fine particles, by mass, was due to the emission of hydrocarbons, mainly aromatics. Furthermore, an increase in the number of small particles impaired the ultraviolet radiation and induced a decrease in ozone formation. The ground-level O3 concentration decreased by about 2 % when the aerosol-radiation feedback is taken into account.


Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2615 ◽  
Author(s):  
Jeonghoon Lee ◽  
Hans Moosmüller

In this study, a photothermal interferometer was developed, based on a folded-Jamin polarization instrument with refractive-index sensitive configuration, in order to characterize light-absorbing aerosols. The feasibility of our interferometric technique was demonstrated by performing photothermal spectroscopy characterizing spark-generated black carbon particles with atmospherically relevant concentrations and atmospheric aerosols in a metropolitan area. The sensitivity of this interferometric system for both laboratory-generated aerosols and atmospheric aerosols was ~ 1 (μg/m3)/μV, which is sufficient for the monitoring of black carbon aerosol in urban areas.


1996 ◽  
Vol 30 (20) ◽  
pp. 3471-3479 ◽  
Author(s):  
J. Miranda ◽  
E. Andrade ◽  
A. López-Suárez ◽  
R. Ledesma ◽  
T.A. Cahill ◽  
...  

2015 ◽  
Vol 15 (10) ◽  
pp. 14171-14219 ◽  
Author(s):  
A. Vara-Vela ◽  
M. F. Andrade ◽  
P. Kumar ◽  
R. Y. Ynoue ◽  
A. G. Muñoz

Abstract. The objective of this work is to evaluate the impact of vehicular emissions on the formation of fine particles (PM2.5; ≤ 2.5 μm in diameter) in the Sao Paulo Metropolitan Area (SPMA) in Brazil, where ethanol is used intensively as a fuel in road vehicles. Weather Research and Forecasting with Chemistry (WRF-Chem) model is used as photochemical modelling tool to describe the physico-chemical processes leading to evolution of number and mass size distribution of particles through gas-to-particle conversion. A vehicular emission model based on statistical information of vehicular activity is applied to simulate vehicular emissions over the studied area. The study period during a month, between 7 August and 6 September 2012, is considered to perform the numerical simulations due to the availability of experimental data from the NUANCE-SPS (Narrowing the Uncertainties on Aerosol and Climate Changes in Sao Paulo State) project that aims to characterize emissions of atmospheric aerosols in the SPMA. Results show that the emission of primary gases from vehicles led to a production between 20 and 30% due to new particles formation in relation to the total mass concentration of PM2.5 in the downtown SPMA. Dust and sea-salt aerosols contributed with 40–50% of the total PM10 (PM10; ≤ 10 μm in diameter) concentration. Furthermore, ground level O3 concentration decreased by about 2% when the aerosol-radiation feedback is taken into account. Over 40% of the formation of fine particles, by mass, was due to the emission of hydrocarbons, mainly aromatics. An increase in the number of small particles impaired the ultraviolet radiation and induced a decrease in ozone formation. Availability of experimental measurements of atmospheric aerosols and the application of the WRF-Chem model, which simulates feedbacks between meteorological variables and chemical species, made possible to represent some of the most important properties of fine particles in the SPMA such as the mass size distribution and chemical composition in addition to evaluate its formation potential through the gas-to-particle conversion processes.


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