Skip to main content
Have a personal or library account? Click to login
Biomass burning contributions to urban PM2.5 along the coastal lines of southeastern China Cover

Biomass burning contributions to urban PM2.5 along the coastal lines of southeastern China

Open Access
|Jan 2016

Figures & Tables

Fig. 1. 

Administrative division of Fujian province and location of the four sampling sites (solid point in Xiamen, Quanzhou, Putian and Fuzhou).

Fig. 2

Temporal variations of LG concentration and rainfall measured at (a) XM, (b) QZ, (c) PT and (d) FZ sites during the eight sampling periods. The two orange dashed bars represent high biomass burning activities around the traditional Ching-Ming festival.

Fig. 3

Variations of LG and K+ average concentrations and MODIS fire counts in Fujian province.

Fig. 4

Correlations between LG and nss-K+ for all samples at each site.

Fig. 5

(a) Seasonal variations of WSOC concentration, and ratios of (b) LG/nss-K+, (c) WSOC/OC, (d) SOC/OC, (e) LG/OC, (f) LG/WSOC, (g) OCBB/OC and (h) WSOCBB/WSOC in PM2.5 at the four urban sites.

Table 1. Correlation coefficient between species (n=60)

Sampling periodLG vs Abs365LG vs OCLG vs WSOCLG vs ECLG vs nss-K+WSOC vs AbsWSOC vs OCWSOC vs nss- zelb_a_11827477_ulf0001.gifWSOC vs zelb_a_11827477_ulf0002.gifWSOC vs SOC
2011.110.432**0.564**0.432**0.529**0.420*0.889**0.792**0.757**0.573**0.670**2012.10.283*0.322**0.307**0.491**0.254*0.693**0.650**0.676**0.604**0.595**2012.40.482**0.475**0.380**0.227*0.358**0.690**0.713**0.548**0.488**0.552**2012.70.418**0.635**0.253*0.486**0.358**0.829**0.886**0.478**0.401**0.605**2012.110.403**0.348**0.276*0.266*0.353**0.838**0.715**0.726**0.422**0.697**2013.10.485**0.750**0.596**0.677**0.384**0.700**0.663**0.682**0.527**0.686**2013.40.477**0.389**0.269**0.435**0.570**0.706**0.659**0.584**0.634**0.620**2013.6/70.312*0.444**0.453**0.598**0.575**0.763**0.746**0.485**0.346**0.682**

[i] **Correlation is significant at the 0.01 level (one-tailed). *Correlation is significant at the 0.05 level (one-tailed).

Fig. 6

(a) Mass contributions and (b) relative mass contributions of biomass burning on PM2.5 between LG-predicted and PMF-predicted analysis.

Fig. 7

Pie-charts showing the source apportionment of PM2.5 at (a) XM, (b) QZ, (c) PT and (d) FZ. The sources include biomass burning (F1), fuel oil (F2), vehicular emission (F3), secondary nitrate and sulphate aerosol (F4), crustal dust (F5), metallurgical emission at XM and QZ or mixed source of metallurgical emission and secondary sulphate aerosol at PT and FZ (F6), secondary sulphate and organic aerosol at XM and QZ or waste incineration emission at PT and FZ (F7).

Language: English
Page range: 30666 - 30666
Submitted on: Dec 8, 2015
Accepted on: Oct 26, 2016
Published on: Jan 1, 2016
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2016 Shui-Ping Wu, Yin-Ju Zhang, James J. Schwab, Shuai Huang, Ya Wei, Chung-Shin Yuan, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.