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Characteristics of chemical composition and role of meteorological factors during heavy aerosol pollution episodes in northern Beijing area in autumn and winter of 2015 Cover

Characteristics of chemical composition and role of meteorological factors during heavy aerosol pollution episodes in northern Beijing area in autumn and winter of 2015

Open Access
|Jan 2017

Figures & Tables

Fig. 1.

Location of Shangdianzi (SDZ) regional GAW station, and back trajectories per hour of air mass in SDZ during autumn.

Fig. 2.

Location of Shangdianzi (SDZ) regional GAW station, and back trajectories per hour of air mass in SDZ during winter.

Fig. 3.

Time series of mass concentration with the change of size of organics (a), nitrate (b), sulphate (c), ammonium (d) measured by AMS and number concentration of PM1 measured by TDMPS (e) at SDZ regional GAW station, PM2.5 measured at Beijing Wanliu station (f), meteorological characteristics such as wind direction and speed (g), PLAM and relative humidity (h) during autumn.

Table 1.

Mass concentration and increased percentage of chemical components of PM1 during autumn HPEs.

Clean period (CP)HPE1HPE2OrganicsMean5.7 (55%)16.5 (31%)25.8 (32%)HPE/CP2.94.5NO3-Mean2.1 (21%)19.3 (36%)30.7 (38%)HPE/CP9.215SO42-Mean0.97 (9%)6.7 (12%)9.7 (12%)HPE/CP6.910NH4+Mean1.2 (12%)10.1 (19%)14.5 (18%)HPE/CP8.412PM1Mean10.353.781.8
Fig. 4.

Correlation between PLAM index 24-h forecast and PM2.5 during 2007–2008 (Wang et al., 2013a).

Fig. 5.

Time series of mass concentration with the change of size of organics (a), nitrate (b), sulphate (c), ammonium (d) measured by AMS and number concentration of PM1 measured by TDMPS (e) at SDZ regional GAW station, PM2.5 measured at Beijing Wanliu station (f), meteorological characteristics such as wind direction and speed (g), PLAM and relative humidity (h) during winter.

Table 2.

Mass concentration and increased percentage of chemical components of PM1 during winter HPEs.

μg/m3Clean period (CP)HPE3HPE4HPE5OrganicsMean4.3 (61%)20.3 (34%)22.8 (36%)47.1 (42%)HPE/CP4.75.311NO3-Mean0.90(12%)18.2 (30%)17.4 (27%)21.6 (19%)HPE/CP201924SO42-Mean1.1(16%)8.6 (14%)12.0 (19%)25.1 (22%)HPE/CP7.81123NH4+Mean0.68(10%)10.7 (18%)11.3 (18%)15.0 (13%)HPE/CP151621PM1Mean7.159.764.2111.6
Fig. 6.

Correlation between the PLAM and PM2.5 during all HPEs in autumn and winter of 2015.

Language: English
Page range: 1347484 - 1347484
Submitted on: Jan 21, 2017
Accepted on: Jun 20, 2017
Published on: Jan 1, 2017
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2017 Zhouxiang Zhang, Xiaoye Zhang, Yangmei Zhang, Yaqiang Wang, Huaigang Zhou, Xiaojing Shen, Haochi Che, Junying Sun, Lu Zhang, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.