- 著者
- Yiming Sun Qizhong Wu Lanning Wang Baogang Zhang Pingzhong Yan Lingling Wang Huaqiong Cheng Mengfei Lv Nan Wang Shuangliang Ma
- 出版者
- 公益社団法人 日本気象学会
- 雑誌
- SOLA (ISSN:13496476)
- 巻号頁・発行日
- pp.2022-022, (Released:2022-05-31)
- 被引用文献数
- 1
The numbers of heavy air pollution events per year in Beijing have decreased significantly since 2017. To find out the reasons and how meteorology and emissions control have played a role in this change, we used the WRF-SMOKE-CMAQ modeling system to reconstruct the characteristics of the fine particulate matter (PM2.5) concentrations from 2013 to 2019. The model system performed well, and the correlation coefficients (R) between the simulated and observed daily PM2.5 concentrations were all above 0.64. The model results also show that the meteorology contributed approximately ±5 μg/m3 to the annual average PM2.5 concentrations. More interestingly, the coincidence degrees of the simulated PM2.5 concentrations to the heavy pollution (daily PM2.5 concentration > 150 μg/m3) dates decreased significantly after 2016. Meteorology plays an important role in reducing the number of heavy pollution days. According to the model results under the same emission scenarios, the average numbers of heavy pollution days from 2017 to 2019 decreased by 33% compared to the period from 2013 to 2016, while the numbers of good days changed by less than 1%. These results also indicate that meteorology made a significant contribution to decreasing the number of heavily polluted days after 2016.
- 著者
- Yiming Sun Qizhong Wu Lanning Wang Baogang Zhang Pingzhong Yan Lingling Wang Huaqiong Cheng Mengfei Lv Nan Wang Shuangliang Ma
- 出版者
- 公益社団法人 日本気象学会
- 雑誌
- SOLA (ISSN:13496476)
- 巻号頁・発行日
- vol.18, pp.135-139, 2022 (Released:2022-07-06)
- 参考文献数
- 17
- 被引用文献数
- 1
The numbers of heavy air pollution events per year in Beijing have decreased significantly since 2017. To find out the reasons and how meteorology and emissions control have played a role in this change, we used the WRF-SMOKE-CMAQ modeling system to reconstruct the characteristics of the fine particulate matter (PM2.5) concentrations from 2013 to 2019. The model system performed well, and the correlation coefficients (R) between the simulated and observed daily PM2.5 concentrations were all above 0.64. The model results also show that the meteorology contributed approximately ±5 g/m3 to the annual average PM2.5 concentrations. More interestingly, the coincidence degrees of the simulated PM2.5 concentrations to the heavy pollution (daily PM2.5 concentration > 150 g/m3) dates decreased significantly after 2016. Meteorology plays an important role in reducing the number of heavy pollution days. According to the model results under the same emission scenarios, the average numbers of heavy pollution days from 2017 to 2019 decreased by 33% compared to the period from 2013 to 2016, while the numbers of good days changed by less than 1%. These results also indicate that meteorology made a significant contribution to decreasing the number of heavily polluted days after 2016.
- 著者
- Kai Cao Xiao Tang Lanning Wang Xueshun Chen Qizhong Wu Lei Kong Miaomiao Lu Huangjian Wu Zifa Wang
- 出版者
- 公益社団法人 日本気象学会
- 雑誌
- SOLA (ISSN:13496476)
- 巻号頁・発行日
- vol.19, pp.16-25, 2023 (Released:2023-02-07)
- 参考文献数
- 54
From the end of 2019 to the beginning of 2020, Australian bushfires caused by high temperatures and drought significantly impacted the local and global atmosphere. This work uses the global atmospheric chemistry transport model and observations to assess the enormous impact of bushfire emissions on PM2.5 in Australia. During December 2019, the significant increase in biomass-burning emissions led to increases in PM2.5 observations in megacities such as Canberra, Sydney, Newcastle, Brisbane and Melbourne by 845%, 322%, 171%, 141% and 58%, respectively. Numerical simulations reveal that bushfires increased PM2.5 in Australia and in the Southern Hemisphere by 49% and 13%, respectively. Although the aerosols produced by bushfires could not cross the equator at ground level and affect the air quality in the Northern Hemisphere, they were transported to South Asian countries such as Malaysia and India, as well as Papua New Guinea and New Zealand. In addition, they were also injected upward into the stratosphere (approximately 15 km height). Aerosols injected into the stratosphere could be transported to Antarctica and South America, thus completing global transport.
- 著者
- Kai Cao Xiao Tang Lanning Wang Xueshun Chen Qizhong Wu Lei Kong Miaomiao Lu Huangjian Wu Zifa Wang
- 出版者
- 公益社団法人 日本気象学会
- 雑誌
- SOLA (ISSN:13496476)
- 巻号頁・発行日
- pp.2023-003, (Released:2022-12-28)
From the end of 2019 to the beginning of 2020, Australian bushfires caused by high temperatures and drought significantly impacted the local and global atmosphere. This work uses the global atmospheric chemistry transport model and observations to assess the enormous impact of bushfire emissions on PM2.5 in Australia. During December 2019, the significant increase in biomass-burning emissions led to increases in PM2.5 observations in megacities such as Canberra, Sydney, Newcastle, Brisbane and Melbourne by 845%, 322%, 171%, 141% and 58%, respectively. Numerical simulations reveal that bushfires increased PM2.5 in Australia and in the Southern Hemisphere by 49% and 13%, respectively. Although the aerosols produced by bushfires could not cross the equator at ground level and affect the air quality in the Northern Hemisphere, they were transported to South Asian countries such as Malaysia and India, as well as Papua New Guinea and New Zealand. In addition, they were also injected upward into the stratosphere (approximately 15 km height). Aerosols injected into the stratosphere could be transported to Antarctica and South America, thus completing global transport.