Open Access Open Access  Restricted Access Subscription Access

Effect of Roadside Forest Belts on Particles Including TSP, PM10, PM2.5, and PM1 under Different Seasons in Beijing, China


Affiliations
1 School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
2 Beijing Water Conservation Ecological Engineering Consulting Co. Ltd., Beijing, 100055, China
 

Analysing the rules of forests for PM2.5 is important given the serious damage caused by air pollution today. Differently sized particle concentrations were measured in the Poplar shelterbelt. The poplar shelterbelt along the Fifth Ring Road near the South Park of the Beijing Olympic Forest Park was selected as a research object, and six monitoring sites were set from the roadside through to the woodland centre. The particle concentrations were monitored from April to December 2013. A handheld DustMate dust monitor (Turnkey Instruments, UK) was used to measure the concentrations. The differently sized particle concentrations were compared inside and outside the forest. The order of the average concentrations of total suspended particulate (TSP) and PM10 were as follows: outside the forest > within the forest > outside the forest. The average concentrations of PM2.5 and PM1 were as follows: outside the forest > outside the forest > within the forest. The concentrations of TSP and PM10 decreased, then increased, and finally declined all the way from the edge on the side of the road to the edge on the side of the park. The trough of the concentration curve was detected near the monitoring site 3F, and the concentrations of TSP and PM10 declined outside the forest on the park side. The concentrations of PM2.5 and PM1 decreased, then increased, and then further decreased. The trough was first recorded around the monitoring site 18F, and the concentration increased outside the forest on the park side.

Keywords

TSP, PM10, PM2.5, PM1, Roadside Forest Belt.
User
Notifications
Font Size


  • Almeida, S.M., Pio, C.A., Freitas, M.C., et al. 2006. Approaching PM2.5 and PM2.5-10 source apportionment by mass balance analysis, principal component analysis andparticle size distribution. Science of the Total Environment, 368(2-3):663-674.
  • Bennett, J.W., Hung, R., Lee, S., et al. 2012. 18 fungal and bacterial volatile organic compounds: An overview and their role as ecological signaling agents. Fungal Associations, 373-393.
  • Cao, J., Xu, H., Xu, Q., et al. 2012. Fine particulate matter constituents and cardiopulmonary mortality in a heavily polluted Chinese city. Environmental Health Perspectives, 120(3): 373-378.
  • Escobedo, F.J., and Nowak, D.J. 2009. Spatial heterogeneity and air pollution removal by an urban forest. Landscape and Urban Planning, 90(3-4): 102-110.
  • Gehrig, R., and Buchmann, B. 2003. Characterising seasonal variations and spatial distribution of ambient PM10 and PM2.5 concentrations based on long-term Swiss monitoring data. Atmospheric Environment, 37(19): 2571-2580.
  • Mcdonald, A.G., Bealey, W.J., Fowler, D., et al. 2007. Quantifying the effect of urban tree planting on concentrations and depositions of PM10 in two UK conurbations. Atmospheric Environment, 41(38): 8455-8467.
  • Nanos, G..D., and Ilias, I.F. 2007. Effects of inert dust on olive (Olea europaea L.) leaf physiological parameters. Environmental Science and Pollution Research, 14(3): 212-214.
  • Nowak, D.J. 1994. Air pollution removal by Chicago’s urban forest.
  • USDA General Technical Report NE-186, 63-81.
  • Nowak, D.J., and Dwyer, J.F. 2000. Understanding the benefits and costs of urban forest ecosystems. Springer US, 25-46.
  • Odum, E.P. 1983. Basic Ecology. CBC College Publishing, pp.35-43.
  • Pan, C.Z., Chen, G.C., Yang, Q.L., et al. 2004. Study on the concentration distribution of PM10/PM2.5 related to traffic-busy road in Chongqing downtown area. Journal of Southwest Agricultural University, 26(5): 576-579.
  • Song, S., Ye, W.U., Jiang, J.,et al. 2012. Characteristics of elements in size-resolved fine particles in a typical road traffic environment in Beijing. Acta Scientiae Circumstantiae, 32(1): 66-73.
  • Pašková, V., Hilscherová, K., Feldmannová, M., et al. 2006. Toxic effects and oxidative stress in higher plants exposed to polycyclic aromatic hydrocarbons and their N-heterocyclic derivatives. Environmental Toxicology and Chemistry, 25(12): 3238-3245.
  • Pathak, R.K., Wu, W.S., Wang, T. 2009. Summertime PM2.5 ionic species in four major cities of China: nitrate formation in an ammonia-deficient atmosphere. Atmospheric Chemistry and Physics. 9(5): 1711-1722.
  • Yao, X., Chan, C.K., Fang, M., et al. 2002. The water-soluble ionic composition of PM2.5 in Shanghai and Beijing, China. Atmospheric Environment. 36(26):4223-4234.

Abstract Views: 134

PDF Views: 0




  • Effect of Roadside Forest Belts on Particles Including TSP, PM10, PM2.5, and PM1 under Different Seasons in Beijing, China

Abstract Views: 134  |  PDF Views: 0

Authors

Shengzhuo Hua
School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Xin Cai
Beijing Water Conservation Ecological Engineering Consulting Co. Ltd., Beijing, 100055, China
Fengbin Sun
School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Xinxiao Yu
School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China

Abstract


Analysing the rules of forests for PM2.5 is important given the serious damage caused by air pollution today. Differently sized particle concentrations were measured in the Poplar shelterbelt. The poplar shelterbelt along the Fifth Ring Road near the South Park of the Beijing Olympic Forest Park was selected as a research object, and six monitoring sites were set from the roadside through to the woodland centre. The particle concentrations were monitored from April to December 2013. A handheld DustMate dust monitor (Turnkey Instruments, UK) was used to measure the concentrations. The differently sized particle concentrations were compared inside and outside the forest. The order of the average concentrations of total suspended particulate (TSP) and PM10 were as follows: outside the forest > within the forest > outside the forest. The average concentrations of PM2.5 and PM1 were as follows: outside the forest > outside the forest > within the forest. The concentrations of TSP and PM10 decreased, then increased, and finally declined all the way from the edge on the side of the road to the edge on the side of the park. The trough of the concentration curve was detected near the monitoring site 3F, and the concentrations of TSP and PM10 declined outside the forest on the park side. The concentrations of PM2.5 and PM1 decreased, then increased, and then further decreased. The trough was first recorded around the monitoring site 18F, and the concentration increased outside the forest on the park side.

Keywords


TSP, PM10, PM2.5, PM1, Roadside Forest Belt.

References