DOI: 10.1016/j.atmosenv.2016.10.052
Scopus记录号: 2-s2.0-84995792963
论文题名: Effects of synoptic weather on ground-level PM2.5 concentrations in the United States
作者: Liu Y ; , Zhao N ; , Vanos J ; K ; , Cao G
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 148 起始页码: 297
结束页码: 305
语种: 英语
英文关键词: Air quality
; PM2.5 concentrations
; Season
; Spatial synoptic classification
; Synoptic weather
Scopus关键词: Air quality
; Aerodynamic diameters
; Atmospheric moisture
; Fine particulate matter
; Meteorological effects
; Meteorological factors
; Moderate temperature
; Season
; Spatial synoptic classification
; Tropics
; aerodynamics
; air quality
; air temperature
; atmospheric moisture
; concentration (composition)
; environmental assessment
; particulate matter
; seasonal variation
; synoptic meteorology
; air pollution
; air temperature
; Article
; atmospheric moisture
; autumn
; concentration (parameters)
; geography
; particulate matter
; priority journal
; spring
; summer
; United States
; weather
; winter
; 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: It is known that individual meteorological factors affect the concentrations of fine particulate matter with aerodynamic diameters ≤2.5 μm (PM2.5), yet the specific meteorological effects found in previous studies are largely inconsistent and even conflicting. This study investigates influences of daily and short term changes in synoptic weather on ground-level PM2.5 concentrations in a large geographical area (75 cities across the contiguous United States (U.S.)) by using ten-year (2001–2010) spatial synoptic classification (SSC) data. We find that in the spring, summer, and fall the presence of the tropical weather types (i.e., dry-tropical (DT) and moist-tropical (MT)) is likely to associate with significantly higher levels of PM2.5 as compared to an all-weather-type-day average, and the presence of the polar weather types (i.e., dry-polar (DP) and moist-polar (MP)) is associated with significantly lower PM2.5 concentrations. The short-term (day to day) changes in synoptic weather types in a region are also likely to lead to significant variance in PM2.5 concentrations. For example, the largest increase in PM2.5 concentration occurs with the synoptic weather type changing from DP-to-MT. Conversely, a MT-to-DP weather type change results in the largest decrease in PM2.5 concentrations. Compared to air temperature, the effects of atmospheric moisture on PM2.5 concentration tend to be subtle, demonstrating that in conjunction with moderate temperature, neither the dry nor the moist air (except moist-moderate (MM) in summer) are associated with significantly high or low PM2.5 concentrations. Finally, we find that the effects of the synoptic weather type on PM2.5 concentrations may vary for different seasons and geographical areas. These findings suggest that interactions between atmospheric factors and seasonal and/or geographical factors have considerable impacts on the PM2.5 concentrations, and therefore should be considered in addition to the SSC when conducting environment health assessments. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82662
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geosciences, Texas Tech University, Lubbock, TX, United States; Center for Geospatial Technology, Texas Tech University, Lubbock, TX, United States; Climate Science Center, Texas Tech University, Lubbock, TX, United States
Recommended Citation:
Liu Y,, Zhao N,, Vanos J,et al. Effects of synoptic weather on ground-level PM2.5 concentrations in the United States[J]. Atmospheric Environment,2017-01-01,148