Source Apportionment of PM10 in the Open Air of Urban Area in Tangshan

2012 ◽  
Vol 209-211 ◽  
pp. 1545-1548
Author(s):  
Ai Min Ji ◽  
Shu Mei Yan ◽  
Ying Gao ◽  
Shu Ran Wan ◽  
Hong Ya Liu
Keyword(s):  
Particulate Matter ◽  
Mass Balance ◽  
Coal Combustion ◽  
Chemical Mass Balance ◽  
Receptor Model ◽  
Inorganic Elements ◽  
Soil Dust ◽  
Vehicle Exhaust ◽  
Water Solvent ◽  
Suspended Dust

All sources of the particulate matter less than 10 micrometers (PM10) were collected in Tangshan. Inorganic elements, water-solvent ions and carbon species of PM10 samples were investigated to identify the sources of PM10. Contribution and sharing rate of suspended dust, soil dust, coal smoke dust, construction dust, vehicles exhaust, SO42-, NO3- and sea dust to PM10 was determined based on the chemical mass balance (CMB) receptor model. The results showed that suspended dust was the most important PM10 source with a contribution of 42%; flying ash from coal combustion, particle dust from soil, vehicle exhaust were also important sources with contributions of 20%, 12% and 11%, respectively.

Application of a Chemical Mass Balance Receptor Model to Respirable Particulate Matter in Mexico City

1997 ◽  
Vol 47 (3) ◽  
pp. 524-529 ◽  
Author(s):  
Elizabeth Vega ◽  
Isidoro García ◽  
David Apam ◽  
M. Esther Ruíz ◽  
Martha Barbiaux
Keyword(s):  
Particulate Matter ◽  
Mass Balance ◽  
Mexico City ◽  
Chemical Mass Balance ◽  
Receptor Model ◽  
Respirable Particulate

scholarly journals Emission of PM2.5-Bound Polycyclic Aromatic Hydrocarbons from Biomass and Coal Combustion in China

Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1129
Author(s):  
Xinghua Li ◽  
Zihao Wang ◽  
Tailun Guo
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Mass Balance ◽  
Aromatic Hydrocarbons ◽  
Coal Combustion ◽  
Emission Factors ◽  
Chemical Mass Balance ◽  
Open Burning ◽  
Coal Burning ◽  
Receptor Modelling ◽  
Polycyclic Aromatic

Field measured PAH emissions from diverse sources in China are limited or even not available. In this study, the PM2.5-bound PAH emission factors (EFs) for typical biomass and coal combustion in China were determined on-site. The measured total PAH EFs were 24.5 mg/kg for household coal burning, 10.5–13.9 mg/kg for household biofuel burning, 8.1–8.6 mg/kg for biomass open burning, and 0.021–0.31 mg/kg for coal-fired boilers, respectively. These EF values were compared with previous studies. The sources profiles of PAHs for four sources were developed to use in chemical mass balance receptor modelling. BaP equivalent EFs (EFBaPeq) were calculated to evaluate PAH emission toxicity among different combustion sources, and were 6.81, 2.94–4.22, 1.59–3.62, and 0.0006–0.042 mg/kg for those four types of sources, respectively.

Source apportionment of fine particulate matter organic carbon in Shenzhen, China by chemical mass balance and radiocarbon methods

2018 ◽  
Vol 240 ◽  
pp. 34-43 ◽  
Author(s):  
Ibrahim M. Al-Naiema ◽  
Subin Yoon ◽  
Yu-Qin Wang ◽  
Yuan-Xun Zhang ◽  
Rebecca J. Sheesley ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Organic Carbon ◽  
Mass Balance ◽  
Source Apportionment ◽  
Fine Particulate Matter ◽  
Chemical Mass Balance ◽  
Fine Particulate

Geochemistry and Source Apportionment of Atmospheric Particulate Matter in Jiaozuo City

2011 ◽  
Vol 71-78 ◽  
pp. 2867-2872 ◽  
Author(s):  
Dang Yu Song ◽  
Cun Bei Yang
Keyword(s):  
Particulate Matter ◽  
Source Apportionment ◽  
Coal Combustion ◽  
Average Concentration ◽  
Atmospheric Particulate Matter ◽  
Soil Dust ◽  
X Ray Diffraction ◽  
Atmospheric Particulate ◽  
X Ray ◽  
Industrial Action

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.

scholarly journals Source apportionment of fine organic carbon at an urban site of Beijing using a chemical mass balance model

2021 ◽  
Vol 21 (9) ◽  
pp. 7321-7341
Author(s):  
Jingsha Xu ◽  
Di Liu ◽  
Xuefang Wu ◽  
Tuan V. Vu ◽  
Yanli Zhang ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Mass Balance ◽  
Source Apportionment ◽  
Biomass Burning ◽  
Coal Combustion ◽  
Fine Particles ◽  
Inorganic Ions ◽  
Balance Model ◽  
Urban Site ◽  
Chemical Mass Balance

Abstract. Fine particles were sampled from 9 November to 11 December 2016 and 22 May to 24 June 2017 as part of the Atmospheric Pollution and Human Health in a Chinese Megacity (APHH-China) field campaigns in urban Beijing, China. Inorganic ions, trace elements, organic carbon (OC), elemental carbon (EC), and organic compounds, including biomarkers, hopanes, polycyclic aromatic hydrocarbons (PAHs), n-alkanes, and fatty acids, were determined for source apportionment in this study. Carbonaceous components contributed on average 47.2 % and 35.2 % of total reconstructed PM2.5 during the winter and summer campaigns, respectively. Secondary inorganic ions (sulfate, nitrate, ammonium; SNA) accounted for 35.0 % and 45.2 % of total PM2.5 in winter and summer. Other components including inorganic ions (K+, Na+, Cl−), geological minerals, and trace metals only contributed 13.2 % and 12.4 % of PM2.5 during the winter and summer campaigns. Fine OC was explained by seven primary sources (industrial and residential coal burning, biomass burning, gasoline and diesel vehicles, cooking, and vegetative detritus) based on a chemical mass balance (CMB) receptor model. It explained an average of 75.7 % and 56.1 % of fine OC in winter and summer, respectively. Other (unexplained) OC was compared with the secondary OC (SOC) estimated by the EC-tracer method, with correlation coefficients (R2) of 0.58 and 0.73 and slopes of 1.16 and 0.80 in winter and summer, respectively. This suggests that the unexplained OC by the CMB model was mostly associated with SOC. PM2.5 apportioned by the CMB model showed that the SNA and secondary organic matter were the two highest contributors to PM2.5. After these, coal combustion and biomass burning were also significant sources of PM2.5 in winter. The CMB results were also compared with results from the positive matrix factorization (PMF) analysis of co-located aerosol mass spectrometer (AMS) data. The CMB model was found to resolve more primary organic aerosol (OA) sources than AMS-PMF, but the latter could apportion secondary OA sources. The AMS-PMF results for major components, such as coal combustion OC and oxidized OC, correlated well with the results from the CMB model. However, discrepancies and poor agreements were found for other OC sources, such as biomass burning and cooking, some of which were not identified in AMS-PMF factors.

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