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Tellus B: Chemical and Physical Meteorology Volume 69, 2017 - Issue 1
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Research Article

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

Zhouxiang ZhangKey Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing, China;College of Earth Science, University of Chinese Academy of Sciences, Beijing, China
,
Xiaoye ZhangState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China;Center for Excellence in Regional Atmospheric Environment, IUN, CAS, Beijing, ChinaCorrespondence[email protected]
,
Yangmei ZhangKey Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing, China
,
Yaqiang WangKey Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing, China
,
Huaigang ZhouShangdianzi Regional GAW Station, Beijing, China
,
Xiaojing ShenKey Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing, China
,
Haochi CheKey Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing, China;College of Earth Science, University of Chinese Academy of Sciences, Beijing, China
,
Junying SunKey Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing, China
&
Lu ZhangKey Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing, China;College of Earth Science, University of Chinese Academy of Sciences, Beijing, China
 show all
Article: 1347484 | Received 21 Jan 2017, Accepted 20 Jun 2017, Published online: 26 Jul 2017

Figures & data

Fig. 1. Location of Shangdianzi (SDZ) regional GAW station, and back trajectories per hour of air mass in SDZ during autumn.

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. 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.

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.

Fig. 4. Correlation between PLAM index 24-h forecast and PM2.5 during 2007–2008 (CitationWang et al., 2013a).

Fig. 4. Correlation between PLAM index 24-h forecast and PM2.5 during 2007–2008 (CitationWang 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.

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.

Fig. 6. Correlation between the PLAM and PM2.5 during all HPEs in autumn and winter of 2015.

Fig. 6. Correlation between the PLAM and PM2.5 during all HPEs in autumn and winter of 2015.

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