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  • 标题:The analysis on air pollution characteristics at the bus stops in Jinan City
  • 本地全文:下载
  • 作者:Gao Weidong ; Jiang Wei ; Gao Xiaomei
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:295
  • 期号:2
  • 页码:1-7
  • DOI:10.1088/1755-1315/295/2/012002
  • 出版社:IOP Publishing
  • 摘要:The concentration of pollutants is higher near the bus stops because of the frequent start-stop emissions of bus vehicles, which brings great risks to the travel crowd. At the stop of University of Jinan, in Jinan City, PM2.5 concentration and PM10 concentration generally showed an upward trend, and the maximum concentration was mainly concentrated at 20:00-22:00, during the observation period; the concentration of PM2.5 concentration had two peak value, around 11:00 and after 20:00, respectively, during the non-smog weather; the concentration of PM2.5 concentration and PM10 concentration has been rising gradually from 6:00 to 22:00, and the peak value around 11:00 is not very obvious, during the smog weather, but the late peak of PM2.5 concentration and PM10 concentration around 17:00 is especially obvious. The peak of PM2.5 concentration and PM10 concentration of bus stop appeared due to the frequent start and stop of the bus. The content of heavy metals in atmospheric particulates is obviously higher, especially the concentrations of Cd, Cr, Pb and Hg are 59.56, 4.31, 8.68 and 4.19 times of soil background values, respectively, which are obviously enriched. the heavy metal concentrations in falldust are very close to the heavy metal concentrations of atmosphere particulate matter, the result indicated that the heavy metal emitted by automobile exhaust gas has no obvious influence on atmospheric heavy metal content in a short time, the disturbance of ground dustfall has a great influence on the concentrations of heavy metals in the atmosphere. The exposure level of PM2.5 and PM10 during haze weather conditions is far greater than exposure level of PM2.5 and PM10 during non-haze weather conditions.
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