DOI: 10.1016/j.atmosenv.2017.09.012
Scopus记录号: 2-s2.0-85031491591
论文题名: Characterization of particulate matter deposited on urban tree foliage: A landscape analysis approach
作者: Lin L ; , Yan J ; , Ma K ; , Zhou W ; , Chen G ; , Tang R ; , Zhang Y
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 171 起始页码: 59
结束页码: 69
语种: 英语
英文关键词: Air pollution
; FESEM
; Fragstats
; Object-based classification
; Spatial characteristic
; Urban forestry
Scopus关键词: Air cleaners
; Air pollution
; Field emission microscopes
; Forestry
; Plants (botany)
; Scanning electron microscopy
; Spatial distribution
; FESEM
; FRAGSTATS
; Object-based classifications
; Spatial characteristics
; Urban forestry
; Particles (particulate matter)
; atmospheric pollution
; classification
; complexity
; deciduous tree
; foliage
; landscape change
; particle size
; particulate matter
; spatial analysis
; spatial distribution
; urban forestry
; Ailanthus
; Ailanthus altissima
; airborne particle
; Article
; field emission scanning electron microscopy
; foliage
; Fraxinus
; Fraxinus chinensis
; landscape
; particle size
; particulate matter
; priority journal
; Salix matsudana
; species
; tree
; urban area
; willow
; Ailanthus altissima
; Fraxinus chinensis
; Salix matsudana
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Plants can mitigate ambient particulate matter by cleaning the air, which is crucial to urban environments. A novel approach was presented to quantitatively characterize particulate matter deposited on urban tree foliage. This approach could accurately quantify the number, size, shape, and spatial distribution of particles with different diameters on leaves. Spatial distribution is represented by proximity, which measures the closeness of particles. We sampled three common broadleaf species and obtained images through field emission scanning electron microscopy. We conducted the object-based method to extract particles from images. We then used Fragstats to analyze the landscape characteristics of these particles in term of selected metrics. Results reveal that Salix matsudana is more efficient than Ailanthus altissima and Fraxinus chinensis in terms of the number and area of particles per unit area and the proportion of fine particulate matter. The shape complexity of the particles increases with their size. Among the three species, S. matsudana and A. altissima particles respectively yield the highest and lowest proximity. PM1 in A. altissima and PM10 in F. chinensis and S. matsudana show the highest proximity, which may influence subsequent particle retention. S. matsudana should be generally considered to collect additional small particles. Different species and particle sizes exhibit various proximities, which should be further examined to elucidate the underlying mechanism. © 2017
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82168
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Shuangqing Road 18, Haidian District, Beijing, China; University of Chinese Academy of Sciences, 19 A Yuquan Rd, Shijingshan District, Beijing, China; Department of Botany and Plant Sciences, University of California, 900 University Ave., Riverside, CA, United States; Chongqing Academy of Agricultural Sciences, Baixin Road 100, Baishiyi Town, Jiulongpo District, Chongqing, China
Recommended Citation:
Lin L,, Yan J,, Ma K,et al. Characterization of particulate matter deposited on urban tree foliage: A landscape analysis approach[J]. Atmospheric Environment,2017-01-01,171