主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2019, Vol. 35 ›› Issue (6): 55-66.doi: 10.3969/j.issn.1673-503X.2019.06.008

• 论文 • 上一篇    

2013—2017年天津市大气自净能力与大气颗粒物质量浓度特征分析

唐颖潇1, 韩素芹1, 蔡子颖1, 杨旭1, 冯琎2   

  1. 1. 天津市环境气象中心, 天津 300074;
    2. 北京城市气象研究院, 北京 100089
  • 收稿日期:2018-06-12 修回日期:2018-10-16 发布日期:2019-12-25
  • 作者简介:唐颖潇,男,1990年生,工程师,主要从事大气物理与大气环境研究,E-mail:tangyingx@163.com。
  • 基金资助:
    国家自然科学基金项目(41771242、41705135)、国家重点研发计划(2016YFC0203302)和天津市自然科学基金(18JCYBJC23100)共同资助。

Feature analysis of atmospheric self-purification capability and atmospheric particulate concentration in Tianjin during 2013-2017

TANG Ying-xiao1, HAN Su-qin1, CAI Zi-ying1, YANG Xu1, FENG Jin2   

  1. 1. Tianjin Environmental Meteorological Center, Tianjin 300074, China;
    2. Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
  • Received:2018-06-12 Revised:2018-10-16 Published:2019-12-25

摘要: 基于经验公式分析了天津市2013-2017年大气自净能力,以及PM2.5和PM10质量浓度的时空分布特征,并探讨了大气自净能力与大气颗粒物PM2.5质量浓度的关系,以期更好的理解大气环境对污染物浓度变化的影响。结果表明:时间变化上,天津市大气自净能力在午后13-14时最大,夜间最低,一年之中在采暖季(10月至翌年3月)要小于非采暖季,与之相反,天津市PM2.5和PM10质量浓度在采暖季均高于非采暖季。2017年相对于2013年,大气自净能力增加了5%,而PM2.5质量浓度下降了34%,PM10质量浓度则减少了47%。空间分布上,大气自净能力各季节均表现为沿海高于内陆,城区低于郊区的分布,天津市的PM2.5和PM10质量浓度的高值也主要集中在中南部地区,尤其是城区。大气自净能力与颗粒物浓度的分布在空间分布上有着一定的对应关系。分析表明,天津市大气自净能力日均值与PM2.5质量浓度日均值呈负相关,两者的相关系数为-0.34,在采暖季,相关系数有所提高。通过大气自净能力与PM2.5质量浓度变化的分析可知,重污染事件大多数发生在低大气自净能力时。

关键词: 大气自净能力, PM2.5, 通风系数

Abstract: Based on the empirical formula,the spatial and temporal characteristics of atmospheric self-purification capability (APC) and concentrations of PM2.5 and PM10 were analyzed in this paper.Meanwhile,the relationship between APC and particulate concentrations were also analyzed to well understand the impact of the atmospheric environment on the pollutant concentrations.Results reveal that the highest value of the APC appears from 13:00 to 14:00 and the lowest one appears at night during a day.During the year,the APC is relatively lower during the building heating seasons from October to March than that during the non-heating seasons.Conversely,the particulate concentrations are higher during the building heating season than those during the non-heating seasons.Compared with 2013,the annual APC increased 5%,and the concentrations of PM2.5 and PM10 decreased 34% and 47%,respectively,in 2017.The APC value in the coastal area is higher than that in the inland area,and that in the urban area is lower than that in the surrounding areas.The high value of the particulate concentrations concentrates on the south-central area,especially in urban region.The spatial distributions of APC have a good relationship with that of particulate concentrations.There is a negative correlation between the daily averaged values of the APC and PM2.5 concentration.The correlation coefficient is about -0.34,and it increases during the heating season.The heavy pollution incidents mostly happen during the low APC periods.

Key words: Atmospheric self-purification capability, PM2.5, Ventilation coefficient

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