| 基于时间序列分解的京津冀区域PM2.5和O3空间分布特征 |
| 摘要点击 3694 全文点击 153 投稿时间：2023-06-21 修订日期：2023-08-26 |
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| 中文关键词 时间序列分解 PM2.5 臭氧（O3） 京津冀区域 空间分布 |
| 英文关键词 time series decomposition PM2.5 ozone（O3） Beijing-Tianjin-Hebei Region spatial distribution |
| 作者 | 单位 | E-mail | | 姚青 | 天津市环境气象中心, 中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 | yao.qing@163.com | | 丁净 | 天津市环境气象中心, 中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 | | | 杨旭 | 天津市环境气象中心, 中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 | | | 蔡子颖 | 天津市环境气象中心, 中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 | | | 韩素芹 | 天津市环境气象中心, 中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 | |
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| 中文摘要 |
| 京津冀区域大气污染分布呈现明显的空间差异,厘清不同时间尺度下PM2.5和O3浓度分布有助于制定科学有效的污染防控措施.采用STL方法分解PM2.5和O3浓度,获取长期分量、季节分量和短期分量,研究其变化趋势与空间分布特征.结果表明,2017~2021年京津冀区域PM2.5浓度下降幅度高于O3,春、夏季PM2.5和O3浓度呈正相关,秋、冬季呈现负相关,短期分量和季节分量分别对PM2.5和O3浓度的贡献最大.PM2.5的季节分量、短期分量以及O3的长期分量和短期分量均存在2个主成分,对应河北省中南部和京津冀区域北部,在不同时间尺度上京津冀区域PM2.5和O3均存在次区域分布.与原始序列相比,长期分量能够更好地反映PM2.5和O3浓度的演变趋势；季节分量和短期分量的标准差可用于衡量各城市PM2.5和O3浓度波动情况,太行山前各城市PM2.5浓度季节分量和短期分量标准差较高,唐山的O3浓度短期分量的标准差最高. |
| 英文摘要 |
| Notably, clear spatial differences occur in the distribution of air pollution among cities in the Beijing-Tianjin-Hebei (BTH) Region. Clarifying the concentration distribution of PM2.5 and O3 at different time scales is helpful to formulate scientific and effective pollution prevention and control measures. Here, the concentrations of PM2.5 and O3 were decomposed using a seasonal-trend decomposition procedure based on the loess (STL) method; their long-term, seasonal, and short-term components were obtained; and their temporal and spatial distribution characteristics were studied. The results showed that the decrease in PM2.5 concentration in the BTH Region from 2017 to 2021 was higher than that of O3. There was a positive correlation between PM2.5 and O3 concentrations in spring and summer and a negative correlation in autumn and winter. The short-term component and seasonal component had the greatest contribution to PM2.5 and O3 concentrations, respectively. There were two principal components in the seasonal and short-term components of PM2.5 and the long-term and short-term components of O3, corresponding to the central and southern part of Hebei Province and the northern part of the BTH Region. Sub-regional distribution of PM2.5 and O3 in the BTH Region at different time scales were found. Compared with that in the original series, the long-term component could better reflect the evolution trend of PM2.5 and O3 concentrations, and the standard deviation (SD) of the seasonal component and short-term component could be used to measure the fluctuation in PM2.5 and O3 concentrations in various cities. The SD of the seasonal and short-term components of the PM2.5 concentration in every city in front of Taihang Mountain was higher, and the SD of the short-term component of the O3 concentration in Tangshan was the highest. |
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