北京市怀柔区大气污染物浓度变化规律及与其他要素的相关性

单瑞娟; 吴琳; 杨宁

doi:10.12153/j.issn.1674-991X.20200205

北京市怀柔区大气污染物浓度变化规律及与其他要素的相关性

doi: 10.12153/j.issn.1674-991X.20200205

北京市怀柔区气象局

详细信息

作者简介:
单瑞娟(1988—),女,工程师,硕士,主要从事天气预报与测报服务, shanrj@126.com

中图分类号: X51
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出版历程
- 收稿日期: 2020-08-20
- 刊出日期: 2021-07-20

The variation law of air pollutant concentrations and their correlations with other factors in Huairou District, Beijing City

Beijing Huairou District Meteorological Bureau

摘要

摘要: 对2019年北京市怀柔区SO₂、NO_x、CO和O₃ 4种污染物5 min浓度数据及PM₁₀和PM_2.5浓度的监测结果进行整点数据、日数据、逐月日数据、小时数据、日最大8 h平均O₃数据、月数据、各季节小时数据、各季节日数据统计,分析PM_2.5浓度、气象条件及降水等因素对大气污染物浓度的影响。结果表明:大气污染物中O₃浓度超标天数最多,其次是PM_2.5、PM₁₀。大气污染物浓度日变化、季节变化特征明显,SO₂、NO_x浓度的变化特征相似,最大值出现在冬季,春季和秋季次之,最小值出现在夏季,其中1月污染最严重。O₃有着相反的季节变化特征,最高值出现在夏季,最低值出现在冬季。PM₁₀和PM_2.5浓度最高值出现在3月(春季),其次是冬季,秋季次之,最小值出现在夏季。降水对SO₂和NO_x的去除效果不明显,小雨天气时,容易出现大气污染物浓度增长的现象。总体上可以看出,降水对NO_x去除比SO₂更有效,对大粒径颗粒物的去除量大于小粒径颗粒物。本研究可为怀柔区相关部门制定减少污染物排放,控制城市大气颗粒物浓度,提高城市环境空气质量等措施提供数据及理论支持。
- 大气污染物 /
- PM_2.5 /
- 气象要素 /
- 降水
Abstract: On the basis of 5-minute data of air pollutants SO₂, NO_x, CO and O₃and the monitoring results of PM₁₀ and PM_2.5 in Huairou District in 2019, the on hour data, daily data, daily data of each month, hourly data, daily maximum 8-hour average O₃ data, monthly data, seasonal hourly data and daily data of each season were collected. Furthermore, the influences of various factors including PM _2.5, meteorological conditions and precipitation on the concentration of air pollutants were analyzed, so as to provide data and theoretical support for relevant departments in Huairou District to formulate measures of reducing pollutant emissions, controlling urban air particulate matters and improving urban ambient air quality. The results were as follows: among the air pollutants, O₃had the maximum over-standad days, followed by PM_2.5, PM₁₀. The daily and seasonal variation characteristics of air pollutants were obvious. The characteristics of SO₂, and NO_x were similar, with the maximum concentration appearing in winter, the second in spring and autumn, and the minimum in summer. The pollution in January was the most serious. O₃had the opposite seasonal variation characteristics, with the highest value appeared in summer and the lowest value appeared in winter. The highest concentrations of PM₁₀ and PM_2.5 appeared in March (spring), followed by winter and autumn, and the lowest concentrations appeared in summer. The effect of precipitation on the removal of SO₂ and NO_x was not obvious, and it was easy to increase the concentration of air pollutants on light rainy days. On the whole, the precipitation was more efficient for the removal of NO _x than SO₂, and the removal amount of large-size particles was more than that of small-size particles.
- air pollutants /
- PM_2.5 /
- meteorological factors /
- precipitation

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