Limits...
Impact of the 2015 El Nino event on winter air quality in China

View Article: PubMed Central - PubMed

ABSTRACT

During the winter of 2015, there was a strong El Nino (ENSO) event, resulting in significant anomalies for meteorological conditions in China. Analysis shows that the meteorological conditions in December 2015 (compared to December 2014) had several important anomalies, including the following: (1) the surface southeasterly winds were significantly enhanced in the North China Plain (NCP); (2) the precipitation was increased in the south of eastern China; and (3) the wind speeds were decreased in the middle-north of eastern China, while slightly increased in the south of eastern China. These meteorological anomalies produced important impacts on the aerosol pollution in eastern China. In the NCP region, the PM2.5 concentrations were significantly increased, with a maximum increase of 80–100 μg m−3. A global chemical/transport model (MOZART-4) was applied to study the individual contribution of the changes in winds and precipitation to PM2.5 concentrations. This study suggests that the 2015El Nino event had significant effects on air pollution in eastern China, especially in the NCP region, including the capital city of Beijing, in which aerosol pollution was significantly enhanced in the already heavily polluted capital city of China.

No MeSH data available.


(a) The calculated changes in PM2.5 concentrations (μg m−3) in eastern China without wet deposition of aerosol particles. (b) The calculated change in PM2.5 concentrations (μg m−3) due solely to wet deposition of aerosol particles, the dash line denotes negative change in in PM2.5 concentrations. The map was generated by The NCAR Command Language (Version 6.3.0) [Software]. (2016). Boulder, Colorado: UCAR/NCAR/CISL/TDD. http://dx.doi.org/10.5065/D6WD3XH5.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC5037463&req=5

f5: (a) The calculated changes in PM2.5 concentrations (μg m−3) in eastern China without wet deposition of aerosol particles. (b) The calculated change in PM2.5 concentrations (μg m−3) due solely to wet deposition of aerosol particles, the dash line denotes negative change in in PM2.5 concentrations. The map was generated by The NCAR Command Language (Version 6.3.0) [Software]. (2016). Boulder, Colorado: UCAR/NCAR/CISL/TDD. http://dx.doi.org/10.5065/D6WD3XH5.

Mentions: In order to better understand the individual contributions of wind and precipitation to the PM2.5 concentrations during the 2015-ENSO, a global chemical transport model (MOZART-4) was applied in this study. The detailed model description is shown in the supplementary information. Figure 5a shows the calculated change in PM2.5 concentrations (μg m−3) in eastern China without wet deposition of aerosol particles (left panel), and Fig. 5b shows the change in PM2.5 concentrations (μg m−3) due solely to the wet deposition of aerosol particles (right panel).


Impact of the 2015 El Nino event on winter air quality in China
(a) The calculated changes in PM2.5 concentrations (μg m−3) in eastern China without wet deposition of aerosol particles. (b) The calculated change in PM2.5 concentrations (μg m−3) due solely to wet deposition of aerosol particles, the dash line denotes negative change in in PM2.5 concentrations. The map was generated by The NCAR Command Language (Version 6.3.0) [Software]. (2016). Boulder, Colorado: UCAR/NCAR/CISL/TDD. http://dx.doi.org/10.5065/D6WD3XH5.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5037463&req=5

f5: (a) The calculated changes in PM2.5 concentrations (μg m−3) in eastern China without wet deposition of aerosol particles. (b) The calculated change in PM2.5 concentrations (μg m−3) due solely to wet deposition of aerosol particles, the dash line denotes negative change in in PM2.5 concentrations. The map was generated by The NCAR Command Language (Version 6.3.0) [Software]. (2016). Boulder, Colorado: UCAR/NCAR/CISL/TDD. http://dx.doi.org/10.5065/D6WD3XH5.
Mentions: In order to better understand the individual contributions of wind and precipitation to the PM2.5 concentrations during the 2015-ENSO, a global chemical transport model (MOZART-4) was applied in this study. The detailed model description is shown in the supplementary information. Figure 5a shows the calculated change in PM2.5 concentrations (μg m−3) in eastern China without wet deposition of aerosol particles (left panel), and Fig. 5b shows the change in PM2.5 concentrations (μg m−3) due solely to the wet deposition of aerosol particles (right panel).

View Article: PubMed Central - PubMed

ABSTRACT

During the winter of 2015, there was a strong El Nino (ENSO) event, resulting in significant anomalies for meteorological conditions in China. Analysis shows that the meteorological conditions in December 2015 (compared to December 2014) had several important anomalies, including the following: (1) the surface southeasterly winds were significantly enhanced in the North China Plain (NCP); (2) the precipitation was increased in the south of eastern China; and (3) the wind speeds were decreased in the middle-north of eastern China, while slightly increased in the south of eastern China. These meteorological anomalies produced important impacts on the aerosol pollution in eastern China. In the NCP region, the PM2.5 concentrations were significantly increased, with a maximum increase of 80–100 μg m−3. A global chemical/transport model (MOZART-4) was applied to study the individual contribution of the changes in winds and precipitation to PM2.5 concentrations. This study suggests that the 2015El Nino event had significant effects on air pollution in eastern China, especially in the NCP region, including the capital city of Beijing, in which aerosol pollution was significantly enhanced in the already heavily polluted capital city of China.

No MeSH data available.