title: [Variation characteristics of fine particulate matter PM2.5 concentration in three urban recreational forests in Hui Mountain of Wuxi City, Jiangsu Province of East China].
abstract: It is of significance to understand the controlling effects of urban forest on atmospheric fine particulate matter PM2.5 pollution. This paper monitored the variations of atmospheric PM2.5 concentrations in three typical urban recreational forests (Cinnamomum camphora, Pinus elliotii, and Quercus variabilis ) in the Hui Mountain of Wuxi City during the day time (5:00 am-19:00 pm) in autumn and winter, 2011 and in spring and summer, 2012. The meteorological factors were observed simultaneously. The average annual PM2.5 concentration in the three recreational forests was lower than that above the nearby roads, and this concentration in C. camphora and P. elliotii forests was lower than that in Q. variabilis forest. The average annual PM2.5 concentration in the forests and above the nearby roads was lower than the background value in the downtown area of the City. The PM2.5 concentration in the three recreational forests was the lowest in summer, followed by in autumn, and the highest in spring. In addition, the PM2.5 concentration was the lowest in P. elliotii forest in spring, summer, and winter, and in C. camphora forest in autumn, but relatively higher in Q. variabilis forest in all seasons. The diurnal variation of the PM2.5 concentration in the three forests in four seasons all showed nearly "one peak and one vale", with the peak and vale appeared at 7:00-9:00 and 15:00-19:00, respectively. The PM2.5 concentration was significantly correlated with the air moisture and temperature in four seasons, and significantly correlated with the light intensity in winter. Mild winds throughout the seasons had little effects on the PM2.5 concentration.
authors.affiliation: Research Institute of Forestry, Chinese Academy of Forestry/Research Center of Urban Forestry, State Forestry Administration/ Key Laboratory of Forest Silviculture of State Forestry Administration, Beijing 100091, China. gulin1123@163.com
authors.forename: Lin
authors.initials: L
authors.lastname: Gu
authors.affiliation: Research Institute of Forestry, Chinese Academy of Forestry/Research Center of Urban Forestry, State Forestry Administration/ Key Laboratory of Forest Silviculture of State Forestry Administration, Beijing 100091, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Wang
authors.affiliation: Research Institute of Forestry, Chinese Academy of Forestry/Research Center of Urban Forestry, State Forestry Administration/ Key Laboratory of Forest Silviculture of State Forestry Administration, Beijing 100091, China.
authors.forename: Xiao-Lei
authors.initials: XL
authors.lastname: Wang
authors.affiliation: Research Institute of Forestry, Chinese Academy of Forestry/Research Center of Urban Forestry, State Forestry Administration/ Key Laboratory of Forest Silviculture of State Forestry Administration, Beijing 100091, China.
authors.forename: Yan-Ying
authors.initials: YY
authors.lastname: Wang
authors.affiliation: Research Institute of Forestry, Chinese Academy of Forestry/Research Center of Urban Forestry, State Forestry Administration/ Key Laboratory of Forest Silviculture of State Forestry Administration, Beijing 100091, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Wang
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D001272:Atmosphere / Q000032:analysis; D002681:China; D027423:Cinnamomum camphora / Q000254:growth & development; D002947:Cities; D004784:Environmental Monitoring / Q000379:methods*; D065928:Forests; D052638:Particulate Matter / Q000032:analysis*; D028223:Pinus / Q000254:growth & development; D029963:Quercus / Q000254:growth & development; D012621:Seasons; D014197:Trees / Q000254:growth & development*
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter