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. 2018 Mar 2;15(3):438. doi: 10.3390/ijerph15030438

Table 2.

Modeling methods and analysis on sources of PM2.5.

Method Reference Location Sampling Time Period Main Sources of PM2.5 and Their Contribution Rates
CMB [34] Ningbo 15–24 March 2010;
31 May–9 June 2010;
10–19 December 2010
Urban dust (20.42%), coal dust (14.37%) and vehicle exhaust (15.15%)
[47] Urumchi 19–30 January 2013 Urban dust (24.7%), coal dust (15.6%) and secondary particles (38.0%)
[48] Qizhou September 2013;
February–March 2014;
May 2014
Dust (21–35%), secondary particles (25–26%) and vehicle exhaust (21–26%)
[49] Ningbo 25–31 January 2010;
31 May–6 June 2010;
10–16 October 2010
Urban dust (19.9%), coal dust (14.4%), secondary sulfate (16.9%), vehicle exhaust (15.2%), secondary nitrate (9.78%) and secondary organic carbon (8.85%)
[50] Tianjin 13–20 May 2010;
20–27 October 2010;
19–26 December 2010
Open source (urban dust, soil dust and construction cement dust, total contribution of 30%),Secondary particles (secondary sulfate, secondary nitrate and secondary carbon, total contribution of 28%), coal dust (19.6%) and vehicle exhaust (15.9%)
[51] Chongqing 6–28 February 2012;
6–28 August 2012;
19–27 October 2012;
7–29 December 2012
Secondary particles (30.1%) and moving source (27.9%)
[52] Beijing August 2012–July 2013, continuous for 5 to 7 days per month Secondary inorganic salts (36%), organic matter (20%), vehicle/fuel (16%), coal burning (15%), soil dust (6%) and others (7%)
[53] Xining 26 February–4 March 2014;
22–28 April 2014;
19–25 September 2014
Urban dust (26.24%), coal dust (14.5%), vehicle exhaust (12.8%), secondary sulphate (9.0%), biomass burning (6.6%), secondary nitrates (5.7%), steel dust (4.7%), construction dust (4.4%), soil dust (4.4%), food and beverage emissions (2.9%) and other unidentified sources (5.2%)
[54] Xingtai 24 February–15 March 2014;
22 April–19 May 2014;
15–28 July 2014
Coal dust (25%), secondary inorganic particles (sulfate and nitrate, 45%), vehicle exhaust (11%), dust (9%), soil dust (3%), construction and metallurgical dust (1%) and other unidentified sources (3%)
PMF [55] Wuhan July 2011–February 2012 Vehicle sources (27.1%), secondary sulphates and nitrates (26.8%), manufacturing emissions (26.4%) and biomass combustion (19.6%)
[56] Chengdu 29 April–17 May 2009;
6 July–6 August 2009;
26 October–26 November 2009;
1–31 January 2010
Soil dust and raise dust (14.3%), biomass combustion (28.0%), vehicle sources (24.0%) and secondary nitrates/sulfates (31.3%)
[46] Shenzhen January–December 2009 Secondary sulphate (30.0%), vehicle sources (26.9%), biomass combustion (9.8%) and secondary nitrates (9.3%)
[57] suburbs of Shanghai 23 December 2012–18 February 2014 Secondary aerosol (50.8%), fuel combustion (17.5%), biomass combustion/sea salt (17.2%), raise dust/construction dust (7.7%), and coal-burning/smelting dust (6.9%)
[58] North China 3 January–11 February 2014 Coal combustion (29.6%), biomass combustion (19.3%) and vehicle sources (15.9%)
[59] Lanzhou Winter 2012 and summer 2013 Steel industry, secondary aerosols, coal combustion, power plants, vehicle emissions, crustal dust, and smelting industry contributed 7.1%, 33.0%, 28.7%, 3.12%, 8.8%, 13.3%, and 6.0%, respectively, in winter, and 6.7%, 14.8%, 3.1%, 3.4%, 25.2%, 11.6% and 35.2% in summer
[60] Chongqing 2012–2013 Secondary inorganic aerosols (37.5%), coal combustion (22.0%), other industrial pollution (17.5%), soil dust (11.0%), vehicular emission (9.8%) and metallurgical industry (2.2%)
[61] Yellow River Delta National Nature Reserve (YRDNNR) January–November 2011 Secondary sulphate and nitrate (54.3%), biomass burning (15.8%), industry (10.7%), crustal matter (8.3%), vehicles (5.2%) and copper smelting (4.9%)
[62] Shanghai October 2011–August 2012 Coal burning (30.5%), gasoline engine emission (29.0%), diesel engine emission (17.5%), air-surface exchange (11.9%) and biomass burning (11.1%)
[63] Zhengzhou April 2011–December 2013 Coal burning (29%), vehicle (26%), dust (21%), secondary aerosols (17%) and biomass burning (4%)
[64] Qingshan District, Wuhan 15 November–28 December 2013 Traffic exhaust (28.60%), industry (27.10%), road dust (22%), coal combustion (13.20%) and building dust (9.5%)
FA [65] Beijing 16 January–28 February 2013 Industrial dust and human activities (40.3%), biomass combustion and building dust (27.0%), soil and wind induced dust (9.1%), fossil fuel sources (4.9%), electronic waste sources (4.8%) and regional migration sources (4.6%)
PCA [66] Hangdan January, April, July and October 2015 Secondary aerosol source, transportation, fossil fuel and biomass burning (46.5%), soil and construction dust (19.5%), steel industry (19.5%) and transportation (9%)
[67] Hangdan October 2012–January 2013 Industry and coal burning (33.3%), secondary aerosol and biomass burning (21.7%), vehicle (12.8%) and road dust (9.1%),
WRF/Chem+ observation data analysis [68] Guangzhou January–December 2013 Moving sources (37.4%), industrial emissions (32.2%), electricity emissions (12.2%), residential emissions (6.6%) and others (11.6%)
PMF and backward trajectory model [69] Heze 13–22 August 2015;
21–30 October 2015;
14–23 January 2016
7–16 April 2016
Secondary inorganic salt (32.61%), vehicle emissions (22.60%), raise dust (19.64%), coal dust (16.25%) and construction cement dust (9.00%)
Chemical mass balance gas constraint-Iteration (CMBGC-Iteration) [70] Tianjin April 2014–January 2015 Secondary sources (30%), crustal dust (25%), vehicle exhaust (16%), coal combustion (13%), SOC (7.6%) and cement dust (0.40%)
Ensemble-average of CMB, CMB-Iteration, CMB-GC, PMF, WALSPMF, and NCAPCA Secondary sources (28%), crustal dust (20%), coal combustion (18%), vehicle exhaust (17%), SOC (11%) and cement dust (1.3%)
Community Multiscale Air Quality (CMAQ) model [71] 25 Chinese provincial capitals and municipalities 2013 Power plants (8.7–12.7%), agriculture NH3 (9.5–12%), windblown dust (6.1–12.5%) and secondary organic aerosol (SOA) (5.4–15.5%)
Particle Induced X-ray Emission(PIXE), XRay Fluorescence (XRF), and PMF [72] Xigngzhen District, Beijing 19 May 2007–19 July 2013 Coal burning (29.2%), vehicle exhaust and waste incineration (26.2%), construction industry (23.3%), soil (15.4%) and industry with chlorine (5.9%)
Inventory-Chemical Mass Balance (I-CMB) [73] Beijing 2012 Coal (28.06%), vehicle (19.73%), dust (17.88%), industry (16.50%), food (3.43%) and plant (3.40%)

CMB: chemical mass balance method; PMF: positive matrix factorization; FA: factor analysis; PCA: principal component analysis; WRF: Weather Research and Forecasting; WALSPMF: Weighted Alternating Least Squares Positive Matrix Factorization; NCAPCA: Non-negative Constrained Absolutely Principle Analysis.