DOI: 10.1016/j.atmosenv.2015.02.053
Scopus记录号: 2-s2.0-84924078278
论文题名: Land-use regression panel models of NO2 concentrations in Seoul, Korea
作者: Kim Y ; , Guldmann J ; -M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 107 起始页码: 364
结束页码: 373
语种: 英语
英文关键词: Land-use regression
; Nitrogen dioxide
; Panel models
; Solar radiation
; Vehicle-kilometers-traveled
Scopus关键词: Air pollution
; Airships
; Nitrogen
; Nitrogen oxides
; Pollution
; Radiation effects
; Regression analysis
; Solar radiation
; Sun
; Wind
; Explanatory power
; Land use regression
; Measurement locations
; Meteorological variables
; Nitrogen dioxides
; Panel model
; Pollution concentration
; Wind directions
; Land use
; nitrogen dioxide
; volatile organic compound
; atmospheric pollution
; concentration (composition)
; land use change
; nitrogen dioxide
; panel data
; regression analysis
; solar radiation
; spatiotemporal analysis
; transportation
; wind direction
; air pollution
; air quality
; Article
; chemical reaction
; elasticity
; explanatory variable
; industrial area
; land use
; land use regression
; meteorological phenomena
; meteorology
; priority journal
; regression analysis
; solar radiation
; South Korea
; ultraviolet radiation
; wind
; Seoul [Seoul (ADS)]
; Seoul [South Korea]
; South Korea
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: Transportation and land-use activities are major air pollution contributors. Since their shares of emissions vary across space and time, so do air pollution concentrations. Despite these variations, panel data have rarely been used in land-use regression (LUR) modeling of air pollution. In addition, the complex interactions between traffic flows, land uses, and meteorological variables, have not been satisfactorily investigated in LUR models. The purpose of this research is to develop and estimate nitrogen dioxide (NO2) panel models based on the LUR framework with data for Seoul, Korea, accounting for the impacts of these variables, and their interactions with spatial and temporal dummy variables. The panel data vary over several scales: daily (24h), seasonally (4), and spatially (34 intra-urban measurement locations). To enhance model explanatory power, wind direction and distance decay effects are accounted for. The results show that vehicle-kilometers-traveled (VKT) and solar radiation have statistically strong positive and negative impacts on NO2 concentrations across the four seasonal models. In addition, there are significant interactions with the dummy variables, pointing to VKT and solar radiation effects on NO2 concentrations that vary with time and intra-urban location. The results also show that residential, commercial, and industrial land uses, and wind speed, temperature, and humidity, all impact NO2 concentrations. The R2 vary between 0.95 and 0.98. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81913
Appears in Collections: 气候变化事实与影响
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作者单位: The Korea Transport Institute, Sejong-si, South Korea; Department of City and Regional Planning, The Ohio State University, Columbus, OH, United States
Recommended Citation:
Kim Y,, Guldmann J,-M. Land-use regression panel models of NO2 concentrations in Seoul, Korea[J]. Atmospheric Environment,2015-01-01,107