DOI: 10.1016/j.atmosenv.2014.02.030
Scopus记录号: 2-s2.0-84896749285
论文题名: Gauging intraurban variability of ambient particulate matter arsenic and other air toxic metals from a network of monitoring sites
作者: Yadav V ; , Turner J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 89 起始页码: 318
结束页码: 328
语种: 英语
英文关键词: Air toxic metals
; Coefficient of divergence
; Correlation coefficient
; Local source identification
; Spatial variability
; Temporal variability
Scopus关键词: Air toxic
; Coefficient of divergence
; Correlation coefficient
; Local source
; Spatial variability
; Temporal variability
; Arsenic
; Correlation methods
; Particles (particulate matter)
; Urban growth
; arsenic
; lead
; manganese
; selenium
; arsenic
; atmospheric pollution
; concentration (composition)
; correlation
; industrial emission
; industrialization
; particulate matter
; quantitative analysis
; spatiotemporal analysis
; urban planning
; air pollution
; ambient air
; article
; coefficient of divergence
; constants and coefficients
; correlation coefficient
; industrial area
; industrialization
; particulate matter
; priority journal
; river
; suburban area
; United States
; urban area
; Mississippi River
; Missouri
; United States
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: A four site monitoring network was established in the Missouri portion of Metropolitan St. Louis during 2008 to characterize spatiotemporal patterns in PM10 arsenic. Arsenic measured at two urban sites in the City of St. Louis was typically higher than arsenic at two suburban sites. Spatiotemporal variability in arsenic is examined by plotting the Pearson correlation coefficient (PCC) against the coefficient of divergence (COD) for each site-pair to merge the temporal tracking ability of PCC with COD's ability to gauge spatial homogeneity. Arsenic measured across the network is apportioned into a network-wide baseline and site-specific excess concentrations to semi-quantitatively differentiate local-scale emission source contributions from sources exerting influence over larger spatial scales. Comparing measured concentrations at each site against the network-wide baseline concentration using a scattergram of PCC and COD emphasizes the impact of local sources on intraurban variability. Conditional probability function (CPF) plots constructed using site-specific measured arsenic and surface winds identify a broad emission source region towards the east, but mask the bearings of local sources in the urban core. CPF plots using site-specific arsenic in excess of the baseline concentrations provide better resolution of local emission source bearings and are triangulated to identify a likely arsenic emission source zone along the industrialized Mississippi Riverfront. Additional air toxic metals measured in this study (selenium, manganese and lead) are also investigated to examine the efficacy of this methodology to characterize intraurban variability. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80665
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Campus Box 1180, One Brookings Drive, St. Louis, MO 63130-4899, United States
Recommended Citation:
Yadav V,, Turner J. Gauging intraurban variability of ambient particulate matter arsenic and other air toxic metals from a network of monitoring sites[J]. Atmospheric Environment,2014-01-01,89