中国地理科学 ›› 2019, Vol. 20 ›› Issue (4): 591-600.doi: 10.1007/s11769-019-1057-8

• 论文 • 上一篇    下一篇

Foliar Particulate Matter Distribution in Urban Road System of Beijing, China

BAO Le1,2, MA Keming2, XU Xiaowu1, YU Xinxiao1   

  1. 1. Beijing Laboratory of Urban and Rural Ecological Environment, College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
    2. State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
  • 收稿日期:2019-01-04 修回日期:2018-09-10 出版日期:2019-08-27 发布日期:2019-06-28
  • 通讯作者: YU Xinxiao.Email:yuxinxiao111@126.com E-mail:yuxinxiao111@126.com
  • 基金资助:

    Under the auspices of National Natural Science Foundation of China (No. 41430638), Special Found for Beijing Common Construction Project for Beijing Laboratory of Urban and Rural Ecological Environment (No. PXM2015_014207_000014), Grants from the Beijing Municipal Education Commission (No. PXM2019_014207_000099)

Foliar Particulate Matter Distribution in Urban Road System of Beijing, China

BAO Le1,2, MA Keming2, XU Xiaowu1, YU Xinxiao1   

  1. 1. Beijing Laboratory of Urban and Rural Ecological Environment, College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
    2. State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
  • Received:2019-01-04 Revised:2018-09-10 Online:2019-08-27 Published:2019-06-28
  • Contact: YU Xinxiao.Email:yuxinxiao111@126.com E-mail:yuxinxiao111@126.com
  • Supported by:

    Under the auspices of National Natural Science Foundation of China (No. 41430638), Special Found for Beijing Common Construction Project for Beijing Laboratory of Urban and Rural Ecological Environment (No. PXM2015_014207_000014), Grants from the Beijing Municipal Education Commission (No. PXM2019_014207_000099)

摘要:

Particulate matter (PM), one of the most important pollutants of traffic emission, threatens the health of urban ecosystems and citizens. Roadside trees play an important role in trapping PM, and the foliar PM load is a useful indicator for air PM pollution in road systems. To detect the relationships of foliar PM load with road structures, urbanization, and meteorology in road systems, we studied a widely-planted tree Sophora japonica L. in 100 roads and 10 yards of Beijing, China, and found that the foliar PM loads increased with the distances from the urban centre (DUC) linearly, while decreased with the road density. All-subsets regression analysis indicated that DUC, average monthly relative humidity, average monthly wind speed, and mean annual wind speed were the most important factors in predicting foliar PM load, rather than general situation of buildings and road cleanliness. The monthly relative humidity and monthly wind speed had a negative correlation to foliar PM, while the annual relative humidity and annual wind speed had a positive correlation to foliar PM. Suburban areas and these effective factors should be highlighted in PM control in Beijing.

关键词: distance from the urban centre, road width, road density, relative humidity, wind speed, number of lanes, roadside tree, road cleanliness

Abstract:

Particulate matter (PM), one of the most important pollutants of traffic emission, threatens the health of urban ecosystems and citizens. Roadside trees play an important role in trapping PM, and the foliar PM load is a useful indicator for air PM pollution in road systems. To detect the relationships of foliar PM load with road structures, urbanization, and meteorology in road systems, we studied a widely-planted tree Sophora japonica L. in 100 roads and 10 yards of Beijing, China, and found that the foliar PM loads increased with the distances from the urban centre (DUC) linearly, while decreased with the road density. All-subsets regression analysis indicated that DUC, average monthly relative humidity, average monthly wind speed, and mean annual wind speed were the most important factors in predicting foliar PM load, rather than general situation of buildings and road cleanliness. The monthly relative humidity and monthly wind speed had a negative correlation to foliar PM, while the annual relative humidity and annual wind speed had a positive correlation to foliar PM. Suburban areas and these effective factors should be highlighted in PM control in Beijing.

Key words: distance from the urban centre, road width, road density, relative humidity, wind speed, number of lanes, roadside tree, road cleanliness