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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参考文献(18)

[1]	张惠程. 北京市大气污染对旅游影响及经济核算[D]. 北京:中国地质大学(北京),2019.
[2]	黄叶丹. 分析北京市四城区大气污染现状:谈控制对策[C]//中国环境科学学会2006年学术年会优秀论文集(下卷). 北京:中国环境科学学会, 2006:709-711.
[3]	戴丽. 北京农村煤改清洁能源在行动[J]. 节能与环保, 2016(8):26-27.
[4]	于庆丰, 于海波, 马哲军, 等. 迈向生态文明引领的绿色创新宜居城市典范:《怀柔分区规划(国土空间规划)(2017年—2035年)》的探索与实践[J]. 北京规划建设, 2019(6):54-58.
[5]	杨静超, 赵秀娟, 张凯. 北京北郊清洁区PM_2.5和O₃变化特征对比分析[J]. 环境科学与技术, 2017, 40(3):1-9. doi: 10.1021/es062606e YANG J C, ZHAO X J, ZHANG K. Comparison analysis of variation characteristic of PM2.5 and O3 in Beijing northern suburbs cleaning area [J]. Environmental Science & Technology, 2017, 40(3):1-9. doi: 10.1021/es062606e
[6]	王祥云, 谭念华, 俞钟敏, 等. 混合气体中挥发性有机物的回收技术[C]//中国化工学会2003年石油化工学术年会论文集. 北京:中国化工学会, 2003:756-758.
[7]	徐艳娴. 冬季供暖对中国北方空气质量的影响[D]. 济南:山东大学, 2015.
[8]	王圣, 朱法华, 王慧敏, 等. 燃煤电厂氮氧化物产生浓度影响因素的敏感性和相关性研究[J]. 环境科学学报, 2012, 32(9):2303-2309. WANG S, ZHU F H, WANG H M, et al. Sensitivity and correlation analysis on influence factors of NOx generated concentration from coal-fired power plant [J]. Acta Scientiae Circumstantiae, 2012, 32(9):2303-2309.
[9]	李婕, 羌宁. 挥发性有机物(VOCs)活性炭吸附回收技术综述[J]. 四川环境, 2007(6):101-105.
[10]	李阳. 基于观测的污染气体区域排放特征研究[D]. 北京:中国气象科学研究院, 2011.
[11]	WANG S J, ZHOU C S, WANG Z B, et al. The characteristics and drivers of fine particulate matter (PM_2.5) distribution in China[J]. Journal of Cleaner Production, 2017, 142:S0959652616319497.
[12]	LI K, DANIEL J J, HONG L, et al. Anthropogenic drivers of 2013-2017 trends in summer surface ozone in China[J]. Proceedings of the National Academy of Sciences of the United States of America, 2019, 116(2):422-427.
[13]	易睿, 王亚林, 张殷俊, 等. 长江三角洲地区城市臭氧污染特征与影响因素分析[J]. 环境科学学报, 2015, 35(8):2370-2377. YI R, WANG Y L, ZHANG Y J, et al. Pollution characteristics and influence factors of ozone in Yangtze River Delta[J]. Acta Scientiae Circumstantiae, 2015, 35(8):2370-2377.
[14]	周江兴. 北京市几种主要污染物浓度与气象要素的相关分析[J]. 应用气象学报, 2005(增刊1):123-127. ZHOU J X. Correlative analysis on relationship between changes of several main contaminations and some meteorological elements[J]. Journal of Applied Meteorological Science, 2005(Suppl 1):123-127.
[15]	杨丽蓉, 郭英茹, 张俊生, 等. 银川市臭氧污染特征及影响因素分析[J]. 环境保护科学, 2016, 42(2):55-59. YANG L R, GUO Y R, ZHANG J S, et al. Analysis of the pollution characteristics and influencing factors of the ozone in Yinchuan City[J]. Environmental Protection Science, 2016, 42(2):55-59.
[16]	王闯, 王帅, 杨碧波, 等. 气象条件对沈阳市环境空气臭氧浓度影响研究[J]. 中国环境监测, 2015, 31(3):32-37. WANG C, WANG S, YANG B B, et al. Study of the effect of meteorological conditions on the ambient air ozone concentrations in Shenyang[J]. Environmental Monitoring in China, 2015, 31(3):32-37.
[17]	魏宸. 大气颗粒物中S O 4 2 - 、N O 3 - 和气态SO₂、NO_x的分布特征与降雨清除[D]. 南昌:南昌大学, 2017.
[18]	孙根厚. 上甸子站夏季降水期间气溶胶湿清除影响的观测研究[D]. 北京:中国气象科学研究院, 2012.