DOI: 10.1016/j.atmosenv.2018.03.007
Scopus记录号: 2-s2.0-85044170765
论文题名: The value of using seasonality and meteorological variables to model intra-urban PM2.5 variation
作者: Olvera Alvarez H ; A ; , Myers O ; B ; , Weigel M ; , Armijos R ; X
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 182 起始页码: 1
结束页码: 8
语种: 英语
英文关键词: Air pollution
; Land use regression
; Relative humidity
; Temperature
; Wind speed
Scopus关键词: Air pollution
; Atmospheric humidity
; Land use
; Temperature
; Correlation coefficient
; Land use regression
; Low relative humidities
; Low temperature conditions
; Meteorological variables
; Temporal and spatial variability
; Traffic variabilities
; Wind speed
; Wind
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 yearlong air monitoring campaign was conducted to assess the impact of local temperature, relative humidity, and wind speed on the temporal and spatial variability of PM2.5 in El Paso, Texas. Monitoring was conducted at four sites purposely selected to capture the local traffic variability. Effects of meteorological events on seasonal PM2.5 variability were identified. For instance, in winter low-wind and low-temperature conditions were associated with high PM2.5 events that contributed to elevated seasonal PM2.5 levels. Similarly, in spring, high PM2.5 events were associated with high-wind and low-relative humidity conditions. Correlation coefficients between meteorological variables and PM2.5 fluctuated drastically across seasons. Specifically, it was observed that for most sites correlations between PM2.5 and meteorological variables either changed from positive to negative or dissolved depending on the season. Overall, the results suggest that mixed effects analysis with season and site as fixed factors and meteorological variables as covariates could increase the explanatory value of LUR models for PM2.5. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82888
Appears in Collections: 气候变化事实与影响
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作者单位: School of Nursing, University of Texas at El Paso, 500 W. University, Ave, El Paso, TX, United States; Health Sciences Center, University of New Mexico, Albuquerque, NM, United States; Department of Environmental Health Sciences, School of Public Health, Indiana University, 1025 E 7th Street, Bloomington, IN, United States
Recommended Citation:
Olvera Alvarez H,A,, Myers O,et al. The value of using seasonality and meteorological variables to model intra-urban PM2.5 variation[J]. Atmospheric Environment,2018-01-01,182