Integrating Chemical Mass Balance and the Community Multiscale Air Quality models for source identification and apportionment of PM2.5

2021 ◽  
Author(s):  
Cheng Zhang ◽  
Deji Jing ◽  
Chengzhi Wu ◽  
Sujing Li ◽  
Nana Cheng ◽  
...  
Keyword(s):  
Air Quality ◽  
Mass Balance ◽  
Source Identification ◽  
Chemical Mass Balance ◽  
Quality Models

scholarly journals Assessing the regional impact of indonesian biomass burning emissions based on organic molecular tracers and chemical mass balance modeling

2014 ◽  
Vol 14 (15) ◽  
pp. 8043-8054 ◽  
Author(s):  
G. Engling ◽  
J. He ◽  
R. Betha ◽  
R. Balasubramanian
Keyword(s):  
Air Quality ◽  
Mass Balance ◽  
Biomass Burning ◽  
Large Scale ◽  
Chemical Species ◽  
Biomass Combustion ◽  
Diagnostic Ratios ◽  
Chemical Mass Balance ◽  
Haze Episode ◽  
Molecular Tracers

Abstract. Biomass burning activities commonly occur in Southeast Asia (SEA), and are particularly intense in Indonesia during the dry seasons. The effect of biomass smoke emissions on air quality in the city state of Singapore was investigated during a haze episode in October 2006. Substantially increased levels of airborne particulate matter (PM) and associated chemical species were observed during the haze period. Specifically, the enhancement in the concentration of molecular tracers for biomass combustion such as levoglucosan by as much as two orders of magnitude and the diagnostic ratios of individual organic compounds indicated that biomass burning emissions caused a regional smoke haze episode due to their long-range transport by prevailing winds. With the aid of air mass backward trajectories and chemical mass balance modeling, large-scale forest and peat fires in Sumatra and Kalimantan were identified as the sources of the smoke aerosol, exerting a significant impact on air quality in downwind areas, such as Singapore.

Storm Water Pollution Source Identification in Washington, DC, Using Bayesian Chemical Mass Balance Modeling

2014 ◽  
Vol 140 (3) ◽  
pp. 04013015 ◽  
Author(s):  
Soroosh Sharifi ◽  
Mohammad Masoud Haghshenas ◽  
Tolessa Deksissa ◽  
Peter Green ◽  
William Hare ◽  
...  
Keyword(s):  
Water Pollution ◽  
Mass Balance ◽  
Source Identification ◽  
Pollution Source ◽  
Storm Water ◽  
Chemical Mass Balance ◽  
Washington Dc ◽  
Pollution Source Identification

scholarly journals Assessing the regional impact of Indonesian biomass burning emissions based on organic molecular tracers and chemical mass balance modeling

2014 ◽  
Vol 14 (2) ◽  
pp. 2773-2798 ◽  
Author(s):  
G. Engling ◽  
J. He ◽  
R. Betha ◽  
R. Balasubramanian
Keyword(s):  
Air Quality ◽  
Mass Balance ◽  
Biomass Burning ◽  
Large Scale ◽  
Biomass Combustion ◽  
Diagnostic Ratios ◽  
Chemical Mass Balance ◽  
Back Trajectories ◽  
Haze Episode ◽  
Molecular Tracers

Abstract. Biomass burning activities commonly occur in Southeast Asia (SEA), and are particularly intense in Indonesia during dry seasons. The effect of biomass smoke emissions on air quality in the city state of Singapore was investigated during a haze episode in October 2006. Substantially increased levels of airborne particulate matter (PM) and associated chemical species were observed during the haze period. Specifically, the enhancement in the concentration of molecular tracers for biomass combustion such as levoglucosan by as much as two orders of magnitude and diagnostic ratios of individual organic compounds indicated that biomass burning emissions caused a regional smoke haze episode due to their long-range transport by prevailing winds. With the aid of air mass back trajectories and chemical mass balance modeling, large-scale forest and peat fires in Sumatra and Kalimantan were identified as the sources of the smoke aerosol, exerting a significant impact on air quality in downwind areas, such as Singapore.

Source identification of PCBs in sediments from the Milwaukee Harbor Estuary, USA

1998 ◽  
Vol 37 (6-7) ◽  
pp. 199-206 ◽  
Author(s):  
P. Rachdawong ◽  
E. R. Christensen ◽  
S. Chi
Keyword(s):  
Principal Component Analysis ◽  
Mass Balance ◽  
Source Identification ◽  
Principal Component ◽  
Chemical Mass Balance ◽  
Pollutant Sources ◽  
First Time ◽  
Nonnegative Constraints ◽  
Good Agreement

This work focuses on the determination of PCB source profiles and their contributions to sediments in the Milwaukee Harbor Estuary by a principal component analysis (PCA) model. The model was recently developed and, for the first time, applied to apportion pollutant sources in sediments. Factor loadings and scores were computed, rotated via nonnegative constraints, and matched with candidate Aroclor profiles. Contamination by Aroclors 1016, 1242, 1254, and 1260 were identified for cores VC 6, 9, and 12 based on a log Q2 criterion. The majority of PCB contribution was from a combination of Aroclors 1016 and 1242. Similarity between Aroclors 1016 and 1242 obscured resolution between the two profiles. Results from a chemical mass balance (CMB) model with known Aroclor profiles were in good agreement with the prediction from the PCA model.

scholarly journals Chemical Mass Balance Source Apportionment of PM10during the Southern California Air Quality Study

1994 ◽  
Vol 21 (1) ◽  
pp. 1-36 ◽  
Author(s):  
John G. Watson ◽  
Judith C. Chow ◽  
Zhiqiang Lu ◽  
Eric M. Fujita ◽  
Douglas H. Lowenthal ◽  
...  
Keyword(s):  
Air Quality ◽  
Mass Balance ◽  
Source Apportionment ◽  
Southern California ◽  
Chemical Mass Balance ◽  
Quality Study
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