Literature DB >> 27151242

Development and application of three-dimensional potential source contribution function (3D-PSCF).

In Sun Kim1, Daehyun Wee2, Yong Pyo Kim1,3, Ji Yi Lee4.   

Abstract

A potential source contribution function (PSCF) can indicate the source areas of high air pollutant concentrations using backward trajectories. However, the conventional two-dimensional PSCF (2D-PSCF) cannot consider the emission and transport height of air pollutants. That missing information might be critical because injection height varies depending on the source type, such as with biomass burning. We developed a simple algorithm to account for the height of trajectories with high concentrations and combined it with the conventional PSCF to devise 3D-PSCF. We demonstrate the applicability of the 3D-PSCF by applying it to particulate PAH data collected from September 2006 to August 2007 in Seoul. We found variation in the results from 3D-PSCF with threshold heights from 3,000 to 1,500 m. Applying 2,000 m as the threshold height in the PSCF calculation most clearly determined the possible source areas of air pollutants from biomass fuel burning that were affecting the air quality in Seoul.

Entities:  

Keywords:  Polycyclic aromatic hydrocarbons (PAHs); Seoul metropolitan area; Source apportionment; Three-dimensional potential source contribution function (3D-PSCF); Trajectory analysis

Mesh:

Substances:

Year:  2016        PMID: 27151242     DOI: 10.1007/s11356-016-6787-x

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  10 in total

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Authors:  H Choi; Y H Zhang; K H Kim
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3.  Possible Sources for Some Trace Elements Found in Airborne Particles and Precipitation in Dorset, Ontario.

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4.  Using an improved Source Directional Apportionment method to quantify the PM(2.5) source contributions from various directions in a megacity in China.

Authors:  Ying-Ze Tian; Guo-Liang Shi; Bo Han; Jian-Hui Wu; Xiao-Yu Zhou; Lai-Dong Zhou; Pu Zhang; Yin-Chang Feng
Journal:  Chemosphere       Date:  2014-09-03       Impact factor: 7.086

5.  Influence of regional biomass burning on the highly elevated organic carbon concentrations observed at Gosan, South Korea during a strong Asian dust period.

Authors:  Duc Luong Nguyen; Jin Young Kim; Young Sung Ghim; Shang-Gyoo Shim
Journal:  Environ Sci Pollut Res Int       Date:  2014-09-26       Impact factor: 4.223

6.  Source apportionment and location by selective wind sampling and Positive Matrix Factorization.

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Journal:  Environ Sci Pollut Res Int       Date:  2014-02-01       Impact factor: 4.223

7.  A study on the potential sources of air pollutants observed at Tjörn, Sweden.

Authors:  A Fan; P K Hopke; T M Raunemaa; M Oblad; J M Pacyna
Journal:  Environ Sci Pollut Res Int       Date:  1995-09       Impact factor: 4.223

8.  Application of EPA CMB8.2 model for source apportionment of sediment PAHs in Lake Calumet, Chicago.

Authors:  An Li; Jae-Kil Jang; Peter A Scheff
Journal:  Environ Sci Technol       Date:  2003-07-01       Impact factor: 9.028

9.  Seasonal variation of polycyclic aromatic hydrocarbons (PAHs) emissions in China.

Authors:  Yanxu Zhang; Shu Tao
Journal:  Environ Pollut       Date:  2008-07-23       Impact factor: 8.071

10.  Source regional contributions to PM2.5 in a megacity in China using an advanced source regional apportionment method.

Authors:  Ying-Ze Tian; Gang Chen; Hai-Ting Wang; Yan-Qi Huang-Fu; Guo-Liang Shi; Bo Han; Yin-Chang Feng
Journal:  Chemosphere       Date:  2016-01-14       Impact factor: 7.086

  10 in total

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