Removal efficiency of particulate matters at different underlying surfaces in Beijing

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• 作者：Jiakai Liu ; Lichun Mo ; Lijuan Zhu…
• 关键词：Particulate matter ; Meteorological factors ; Underlying surfaces ; Dry deposition ; Removal efficiency
• 刊名：Environmental Science and Pollution Research
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：23
• 期：1
• 页码：408-417
• 全文大小：979 KB
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• 作者单位：Jiakai Liu (1)
  Lichun Mo (1)
  Lijuan Zhu (1)
  Yilian Yang (1)
  Jiatong Liu (1)
  Dongdong Qiu (1)
  Zhenming Zhang (1)
  Jinglan Liu (1)
  
  1. College of Nature Conservation, Beijing Forestry University, Beijing, 100083, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environment
  Atmospheric Protection, Air Quality Control and Air Pollution
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  Industrial Pollution Prevention
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1614-7499

文摘

Particulate matter (PM) pollution has been increasingly becoming serious in Beijing and has drawn the attention of the local government and general public. This study was conducted during early spring of 2013 and 2014 to monitor the concentration of PM at three different land surfaces (bare land, urban forest, and lake) in the Olympic Park in Beijing and to analyze its effect on the concentration of meteorological factors and the dry deposition onto different land cover types. The results showed that diurnal variation of PM concentrations at the three different land surfaces had no significant regulations, and sharp short-term increases in PM10 (particulate matter having an aerodynamic diameter <10 μm) occurred occasionally. The concentrations also differed from one land cover type to another at the same time, but the regulation was insignificant. The most important meteorological factor influencing the PM concentration is relative humidity; it is positively correlated with the PM concentration. While in the forests, the wind speed and irradiance also influenced the PM concentration by affecting the capture capacity of trees and dry deposition velocity. Other factors were not correlated with or influenced by the PM concentration. In addition, the hourly dry deposition in unit area (μg/m2) onto the three types of land surfaces and the removal efficiency based on the ratio of dry deposition and PM concentration were calculated. The results showed that the forest has the best removal capacity for both PM2.5 (particulate matter having an aerodynamic diameter <2.5 μm) and PM10 because of the faster deposition velocity and relatively low resuspension rate. The lake’s PM10 removal efficiency is higher than that of the bare land because of the relatively higher PM resuspension rates on the bare land. However, the PM2.5 removal efficiency is lower than that of the bare land because of the significantly lower dry deposition velocity.