上海市PM2.5浓度变化特征及其气象因子分析

doi:10.12118/j.issn.1000-6060.2018.05.22

干旱区地理 ›› 2018, Vol. 41 ›› Issue (5): 1088-1096.doi: 10.12118/j.issn.1000-6060.2018.05.22

上海市PM_2.5浓度变化特征及其气象因子分析

王祎頔^1,2, 王真祥³

1 华东师范大学地理科学学院, 上海 200241;
2 Dept.of Ecosystem Science and Sustainability, Colorado State University, CO 80521, USA;
3 长江水利委员会水文局长江口水文水资源勘测局, 上海 200136

收稿日期:2018-04-20 修回日期:2018-07-19 出版日期:2018-09-25
作者简介:王祎頔(1995-),男,本科生.E-mail:cjkwangzx@126.com
基金资助:
华东师范大学大夏大学生科研基金（2015DX-349）

Characteristics of PM_2.5 concentration variability and its meteorological factors in Shanghai

WANG Yi-di^1,2, WANG Zhen-xiang³

1 School of Geographic Sciences, East China Normal University, Shanghai 200241, China;
2 Dept of Ecosystem Science and Sustainability, Colorado State University, CO 80521, United States;
3 Yangtze Estuary Hydrology and Water Resources Survey Bureau, Shanghai 200136, China

Received:2018-04-20 Revised:2018-07-19 Online:2018-09-25

摘要/Abstract

摘要： 对上海市2012-2016年PM_2.5质量浓度、气象因素数据资料进行整理统计，通过定性分析与定量计算相结合的方法，揭示近年来上海市PM_2.5浓度的变化特征及其污染状况；采用相关性分析，从温度、气压、相对湿度、风向、风速和降水量等方面探讨了PM_2.5浓度与气象因素之间的关联性。结果表明：上海市近5 a空气质量主要为优和良，污染天数所占全年比例在减少。PM_2.5浓度呈现出夏季低，冬季高的季节特征，而且8月PM_2.5浓度最低，处于16~36 μg·m^-3；PM_2.5的日变化呈现出双峰双谷结构，浓度峰值出现于8~9时和19~20时，且后者浓度更高。气温、气压、相对湿度的阈值分别出现在9.8℃、1 021.6 hPa、83%，最大PM_2.5在阈值处出现显著变化；最大PM_2.5浓度与累积风速和降水量呈现出对数关系，并且东北风和东南风的累积风速达到350 m·s^-1以上时，PM_2.5浓度基本减少至35 μg·m^-3；降水量越大，PM_2.5浓度越低。

关键词: PM_2.5浓度, 污染特征, 气象因素, 相关性

Abstract: This paper systematically analyzes the temporal variability of the mass concentration of PM_2.5 in Shanghai,and discusses the effects of meteorological factors on the concentration of PM_2.5.It reveals the temporal variability of the PM_2.5 concentration and the status of atmospheric pollution in recent years in Shanghai through multi-scale statistics,qualitative analysis and quantitative computation on meteorological data provided by China Air Quality Online Monitoring and Analysis Platform,as well as China Meteorological Administration.The correlation analysis is applied in understanding the relationship between the PM_2.5 concentration and meteorological factors (the temperature,air pressure,the relative humidity,wind direction,wind speed and precipitation) in Shanghai from 2012 to 2016.The results showed that most of the time the air quality in Shanghai has been good or excellent in recent 5 years and the number of days when it was suffered from the pollution has been decreasing.The PM_2.5 concentration displayed a seasonal feature which indicated a lower value in the summer and a higher value in the winter with the lowest value in August of 16~36 μg·m^-3.The daily variation shows a structure of two peaks and two valleys,with the concentration peaks occurred during 8:00 AM to 9:00 AM and 7:00 PM to 8:00 PM higher during the latter period.The thresholds of the temperature,the air pressure and the relative humidity were 9.8℃,1 021.6 hPa and 83% respectively which were normally the inflection points of the PM_2.5 concentration.There was a logarithmic relationship between the maximum PM_2.5 concentration and the accumulated wind speed and precipitation.When the accumulated wind speed of northeaster and southeaster reached 350 m·s^-1,the PM_2.5 concentration was decreased to 35 μg·m^-3.The bigger the precipitation was,the lower the concentration of PM_2.5 became.This paper showed a good correlation between meteorological factors and the concentration of PM_2.5,and its numerical model had a positive effect on the prediction of the concentration of PM_2.5 and the treatment for atmospheric environment.

Key words: PM_2.5 concentration, pollution characteristics, meteorological factors, correlation

中图分类号:

王祎頔, 王真祥. 上海市PM_2.5浓度变化特征及其气象因子分析[J]. 干旱区地理, 2018, 41(5): 1088-1096.

WANG Yi-di, WANG Zhen-xiang. Characteristics of PM_2.5 concentration variability and its meteorological factors in Shanghai[J]. 干旱区地理, 2018, 41(5): 1088-1096.

参考文献

[1] 侯美伶,王杨君.灰霾期间气溶胶的污染特征[J].环境监测管理与技术,2012,24(2):6-11.[HOU Meiling,WANG Yangjun.Pollution characteristics of aerosols during haze period[J].The Administration and Technique of Environmental Monitoring,2012,24(2):6-11.]
[2] 李宗恺.空气污染气象学原理及应用[M].北京:气象出版社,1985.[LI Zongkai.Theory on air pollution meteorology and application[M].Beijing:Meteorology Press,1985.]
[3] 孟燕军,程丛兰.影响北京大气污染物变化的地面天气形势分析[J].气象,2002,28(4):42-47.[MENG Yanjun,CHENG Conglan.Impact of surface synoptic situations on air pollution in Beijing area and pollution characteristics of aerosols during haze period[J].Meteorological Monthly,2002,28(4):42-47.]
[4] 国家环境保护局.GB 3095-2012环境空气质量标准[S].北京:中国环境科学出版社,2012.[National Environmental Protection Agency.GB 3095-2012 Ambient air quality standards[S].Beijing:China Environmental Press,2012.]
[5] 杨晓波,杨旭峰,李新.国内外环境空气质量标准对比分析[J].环保科技,2013,19(5):16-19.[YANG Xiaobo,YANG Xufeng,LI Xin.Comparison of environmental air quality standards in China and abroad[J].Environmental Protection and Technology,2013,19(5):16-19.]
[6] US EPA.National ambient air quality standards (NAAQS)[EB/OL] [M].Washington DC:US EPA,Office of Air Quality Planning and Standards,2012.
[7] 张新玲,张利民,李子华.南京市可吸入颗粒物数浓度变化及尺度分布[J].江苏环境科技,2003,16(4):33-34.[ZHANG Xinling,ZHANG Limin,LI Zihua.Variety of quantity concentrations and size distributions of inhalation particulates in Nanjing[J].Jiangsu Environmental Scienceand Technology,2003,16(4):33-34.]
[8] 陈丹青,师建中,肖亮洪,等.粤东三市PM_2.5和PM₁₀质量浓度分布特征[J].中山大学学报(自然科学版),2012,51(4):73-78.[CHEN Danqing,SHI Jianzhong,XIAO Lianghong,et al.The distribution and concentration of PM_2.5 and PM₁₀ in three cities of Eastern Guangdong[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2012,51(4):73-78.]
[9] 于建华,虞统,魏强,等.北京地区PM₁₀和PM_2.5质量浓度的变化特征[J].环境科学研究,2004,17(1):45-47.[YU Jianhua,YU Tong,WEI Qiang,et al.Characteristics of mass concentration variations of PM₁₀ and PM_2.5 in Beijing area[J].Research of Environmental Sciences,2004,17(1):45-47.]
[10] 郑庆锋,史军.上海地区大气贴地逆温的气候特征[J].干旱气象,2011,29(2):195-200.[ZHENG Qingfeng,SHI Jun.Temperature inversion characteristics of lower atmosphere over Shanghai[J].Arid Meteorology,2011,29(2):195-200.]
[11] 谈荣华,张元茂,郑叶飞,等.上海市城区典型居民住宅区PM_2.5的污染状况分析[J].环境与职业医学,2004,21(3):226-229.[TAN Ronghua,ZHANG Yuanmao,ZHENG Yefei,et al.Pollution research on PM_2.5 in typical urban resident area in Shanghai[J].Journal of Environmental and Occupational Medicine,2004,21(3):226-229.]
[12] 陈阳,曾钰,张琴,等.气象因素对长沙市PM_2.5周期性变化规律的影响分析[J].四川环境,2014,33(6):81-87.[CHEN Yang,ZENG Yu,ZHANG Qin,et al.Study on the influence of meteorological factors on PM_2.5 periodic variation in Changsha City[J].Sichuan Environment,2014,33(6):81-87.]
[13] LIANG Xuan,ZOU Tao,GUO Bin,et al.Assessing Beijing's PM_2.5pollution:Severity,weather impact,APEC and winter heating[J].Proceedings of the Royal Society A Mathematical Physical & Engineering Sciences,2015,471(2182):20150257.
[14] 朱敏,陈海宇,张骁君.上海市青浦区PM₁₀污染状况及其与气象要素的关系[J].中国环境管理,2012,(1):7-11.[ZHU Min,CHEN Haiyu,ZHANG Yaojun.The seasonal variety of PM₁₀ and its relationship with meteorological condition in Qingpu District Shanghai[J].Chinese Journal of Environmental Management,2012,(1):7-11.]

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