摘要
为了解全运会期间天津市空气污染时空特征以及减排措施对空气质量的改善效果,分别利用时间序列分析法与最优空间插值法对大气污染物进行时空分析。结果表明:(1)全运会期间天津市出现一次明显的污染过程,首要污染物为PM_(2.5);(2)不同功能区污染物浓度差异明显,市区污染物浓度均大于2016年同期平均浓度,汽车尾气特征污染物NO_2浓度增幅明显,区域抑煤控硫等措施效果明显;(3)全运会前与全运会期间,市郊SO_2排放源浓度显著降低,NO_2、PM_(2.5)与PM_(10)的净土区呈现从2016年同期、全运会前期、全运会期间到后期逐渐减小的现象,污染高密度逐渐向市郊及西南等热点地区聚集。
Temporal analysis and optimal interpolation space analysis were applied to analyze spatio-temporal characteristics of air pollution and improvement of air quality during National Games in Tianjin in 2017. The results showed that the priority pollutants are still PM（2.5） during the National Games, and there was an obvious pollution process. It is obvious that the difference of pollutant concentration exited in different functional areas, with the concentration of all pollutants in urban area greater than the same period in 2016, and there is a sufficiently increase of NO2 concentration which is the automobile exhaust characteristic pollutants. The concentration of SO2 decreased significantly in industrial area and control point, regional sulfur control is efficiently. The pure area of NO2, PM（2.5） and PM（10） gradually decreases from the same period in 2016, early stage, duration and later stage of National Games, and it appeared that the high density of pollution has gradually gathered in suburban and south-west area.
作者
么相姝
金如委
YAO Xiangshu;JIN Ruwei(Tianjin Chengjian University,Tianjin 300384,China;Capital Normal University,Beijing 100048,China;Tianjin Normal University,Tianjin 300387,China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2018年第9期110-116,共7页
Environmental Science & Technology
基金
天津市教委科研计划项目(2017KJ063)
关键词
全运会
天津
大气污染物
时空特征
空气质量改善
National Games
Tianjin
air pollutants
spatio-temporal characteristics
improvement of air quality
