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| 北京地区气象条件与区域传输对PM2.5浓度影响研究 |
| The Effects of Meteorological Condition and Regional Transport on PM2.5 Concentration in Beijing |
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| DOI： |
| 中文关键词: PM2.5 区域输送 气象条件 KZ滤波方法 北京 |
| 英文关键词: PM 2.5 Regional transport Meteo rological condition Kolmogorov Zurbenko Beijing |
| 基金项目:国家重点研发计划大气专项课题基金资助项目（2016YFC0208900）;湖南省气象局重点科研课题基金资助项目（XQKJ19A001） |
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| 中文摘要: |
| 通过采用KZ（Kolmogorov Zurbenko）滤波统计方法，结合WRF/CMAQ数值模型情景分析技术，定量分析气象条件和区域传输对北京市PM2.5浓度的影响。结果显示: 2018年7月—2019年6月，北京市PM2.5平均质量浓度为46.0 μg/m3，气象条件同比偏差6.9%，外来传输平均为43.7%。从日变化上看，外来传输在早晚高峰期间明显下降，体现出本地机动车排放贡献明显上升的特点，气象条件对PM2.5浓度的影响主要表现为白天整体有利于污染物扩散，夜间气象条件转为偏不利的特征。2018年10月—2019年3月秋冬季期间，气象条件同比偏差3.3%，在气象条件较为不利和区域同比反弹的情况下，北京市PM2.5浓度持续走低，主要为源减排的效益。 |
| 英文摘要: |
| In this study, KZ (Kolmogorov Zurbenko) filtering statistical method and numerical model scenario analysis technology (WRF/CMAQ) were used to quantitatively analyze the impacts of meteorological condition and regional transport on PM2.5 concentration in Beijing. The results showed that the average concentration of PM2.5 was 46.0 μg/m3 in Beijing from July 2018 to June 2019, it increased year on year by 6.9% due to the meteorological conditions, and 43.7% of which came from external transport. In terms of daily variation, the proportion of PM2.5 from external transport decreased significantly in the morning and evening rush hours, reflecting a obvious rising emissions from local motor vehicle. The impact of meteorological conditions on the concentration of PM2.5 was that the pollutants dispersed well during the day, but it was not conducive to diffusion at night. The concentration of PM2.5 increased year on year by 3.3% from October 2018 to March 2019 due to the meteorological conditions. In case of adverse meteorological conditions and regional rebound year on year, the concentration of PM2.5 in Beijing continued to fall for the benefit of source emission reduction measures. |
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