| 2014~2016年京津冀沿山城市空气质量首要污染物特征分析 |
| 摘要点击 2227 全文点击 778 投稿时间：2018-01-10 修订日期：2018-03-27 |
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| 中文关键词 首要污染物 空气质量 变化特征 沿山城市 京津冀区域 |
| 英文关键词 primary pollutants air quality variation characteristics cities along Taihang Mountains Beijing-Tianjin-Hebei Region |
| 作者 | 单位 | E-mail | | 王晓彦 | 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 | wangxy@cnemc.cn | | 王帅 | 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 | | | 朱莉莉 | 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 | | | 许荣 | 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 | | | 李健军 | 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 | lijj@cnemc.cn |
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| 中文摘要 |
| 对北京、保定、石家庄、邢台和邯郸这5个京津冀太行山沿山城市2014~2016年空气质量首要污染物进行分析，探讨其空间分布特征和时间变化趋势.结果表明，北京首要污染物由主到次为PM2.5、O3-8h、NO2和PM10，其他4个城市首要污染物排序为PM2.5、PM10、O3-8h、NO2、SO2和CO.在空间分布上，各城市PM2.5首要污染物天数比例3 a均值相当（53.3%~58.1%），但从北向南，5个城市PM10天数比例基本呈上升趋势，而O3-8h反之.除邯郸PM2.5首要污染物天数比例逐年明显下降外，其他4个城市的天数比例年际变化幅度较小；2016年石家庄、邢台和邯郸O3-8h天数比例均显著上升.各城市PM2.5和O3-8h首要污染物天数月变化曲线分别呈"W"型和"倒U"型，PM10首要污染物天数在3~5月出现明显高值区.从良至严重污染，各城市PM2.5和PM10首要污染物天数比例之和随空气质量级别逐级递增，其中PM10天数比例逐级下降，而PM2.5表现相反；O3-8h首要污染物天基本出现在良至中度污染级别，且总体上逐级下降；NO2仅在良级天有较高的天数比例贡献. |
| 英文摘要 |
| Primary pollutants of air quality in Beijing, Baoding, Shijiazhuang, Xingtai, and Handan cities along the Taihang Mountains were analyzed to investigate their spatial distribution characteristics and temporal variation trends during 2014-2016. The results showed that the primary pollutants were ranked as PM2.5, O3-8h, NO2 and PM10 from most to least important in Beijing, and PM2.5, PM10, O3-8h, NO2, SO2 and CO in the other four cities. Three-year average percentages of days with PM2.5 as the primary pollutant in each city were similar (53.3%-58.1%), however, percentages of days with PM10 as primary pollutant increased, while percentages of O3-8h decreased basically, from north to south. Except for Handan with a significant descending trend, percentages of days with PM2.5 as primary pollutant varied slightly in the other four cities during the study period, and percentages of O3-8h of Shijiazhuang, Xingtai and Handan increased significantly in 2016. Percentages of NO2 slightly declined year by year in Beijing, and the other four cities mainly showed the opposite trend. Monthly variation curves of days with PM2.5 and O3-8h as primary pollutants showed "W" and "inverted U" types respectively, while the high value interval of days with PM10 as primary pollutant occurred between March and May. With the exception of Beijing, peak of monthly variation curves for days with NO2 as the primary pollutant was occurred in October in the other four cities. From "moderate" to "hazardous" levels for air quality, the percentages of days with PM2.5 and/or PM10 as primary pollutants increased level by level, with percentages of PM10 trending downwards and PM2.5 upwards. Meanwhile, days with O3-8h as the primary pollutant mostly appeared in the range between "moderate" and "unhealthy" levels, and NO2 was only prominent in "moderate" level. |
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