DOI: 10.1016/j.atmosenv.2017.10.023
Scopus记录号: 2-s2.0-85032183250
论文题名: Toward understanding atmospheric physics impacting the relationship between columnar aerosol optical depth and near-surface PM2.5 mass concentrations in Nevada and California, U.S.A., during 2013
作者: Loría-Salazar S ; M ; , Panorska A ; , Arnott W ; P ; , Barnard J ; C ; , Boehmler J ; M ; , Holmes H ; A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 171 起始页码: 289
结束页码: 300
语种: 英语
英文关键词: Aerosol physics
; Aerosol transport
; Aerosol vertical profile
; Apparent aerosol optical height
; Columnar aerosol
; Particulate matter
Scopus关键词: Aerosols
; Air entrainment
; Atmospheric aerosols
; Boundary layers
; Data fusion
; Digital storage
; Geophysics
; Optical properties
; Pollution
; Remote sensing
; Satellites
; Aerosol physics
; Aerosol transport
; Aerosol vertical profiles
; Apparent aerosol optical height
; Particulate Matter
; Air pollution
; aerosol
; atmospheric dynamics
; boundary layer
; concentration (composition)
; entrainment
; long range transport
; optical depth
; particulate matter
; pollutant transport
; remote sensing
; satellite data
; spatiotemporal analysis
; vertical profile
; aerosol
; Article
; boundary layer
; California
; high temperature
; mass
; meteorology
; Nevada
; optical depth
; optics
; particulate matter
; physical parameters
; priority journal
; remote sensing
; seasonal variation
; surface property
; temperature sensitivity
; United States
; velocity
; California
; Nevada
; 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: Determining the relationship between columnar aerosol optical depth (τext) and surface particulate matter concentrations (PM2.5) is desired to estimate surface aerosol concentrations over broad spatial and temporal scales using satellite remote sensing. However, remote sensing studies incur challenges when surface aerosol pollution (i.e. PM2.5) is not correlated with columnar conditions (i.e., τext). PM2.5 data fusion models that rely on satellite data and statistical relationships of τext and PM2.5 may not be able to capture the physical conditions impacting the relationships that cause columnar and surface aerosols to not be correlated in the western U.S. Therefore, an extensive examination of the atmospheric conditions is required to improve surface estimates of PM2.5 that rely on columnar aerosol measurements. This investigation uses datasets from both routine monitoring networks and models of meteorological variables and aerosol physical parameters to understand the atmospheric conditions under which surface aerosol pollution can be explained by column measurements in California and Nevada during 2013. A novel quadrant method, that utilizes statistical analysis, was developed to investigate the relationship between τext and PM2.5. The results from this investigation show that τext and PM2.5 had a positive association (τext and PM2.5 increase together) when local sources of pollution or wildfires dominated aerosol pollution in the presence of a deep and well-mixed planetary boundary layer (PBL). Moreover, τext and PM2.5 had no association (where the variables are not related) when stable conditions, long-range transport, or entrainment of air from above the PBL were observed. It was found that seasonal categorization of the relationship between τext and PM2.5, an approach commonly used in statistical models to estimate surface concentrations with satellite remote sensing, may not be enough to account for the atmospheric conditions that drive the relationships between τext and PM2.5. For all stations, winter showed the maximum average PM2.5 concentrations (14.1 μg m−3, σ = 11.6 μg m−3) meanwhile, τext reached minimum values (0.06 μg m−3, σ = 0.04) during the same season. Conversely, spring presented the minimum average PM2.5 concentrations (9.4 μg m−3, σ = 6.9 μg m−3) and the average values of τext during spring had the second highest values (0.11, σ = 0.06) averaged for all stations. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82172
Appears in Collections: 气候变化事实与影响
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作者单位: Atmospheric Sciences Program, Department of Physics, University of Nevada Reno, Reno, NV, United States; Department of Mathematics and Statistics, University of Nevada Reno, Reno, NV, United States
Recommended Citation:
Loría-Salazar S,M,, Panorska A,et al. Toward understanding atmospheric physics impacting the relationship between columnar aerosol optical depth and near-surface PM2.5 mass concentrations in Nevada and California, U.S.A., during 2013[J]. Atmospheric Environment,2017-01-01,171