The application of semicircular-buffer-based land use regression models incorporating wind direction in predicting quarterly NO2 and PM10 concentrations
Geographic information systems
; Nitrogen
; Nitrogen oxides
; Regression analysis
; Land use regression
; Nitrogen dioxides
; Particulate Matter
; Semicircular buffer
; Wind directions
; Land use
; buffer
; nitrogen dioxide
; buffer zone
; concentration (composition)
; GIS
; land use change
; location-allocation model
; nitrogen dioxide
; particulate matter
; regression analysis
; spatial distribution
; urban area
; wind direction
; air monitoring
; Article
; China
; concentration (parameters)
; geographic information system
; land use
; particulate matter
; predictor variable
; urban area
; wind
; Changsha
; China
; Hunan
Scopus学科分类:
Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
College of Environmental Science and Engineering, Hunan University, Changsha, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha, China; College of Information Science and Technology, Hunan University, Changsha, Hunan, China; School of Public Health, University of California, Berkeley, CA, United States; Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada
Recommended Citation:
Li X,, Liu W,, Chen Z,et al. The application of semicircular-buffer-based land use regression models incorporating wind direction in predicting quarterly NO2 and PM10 concentrations[J]. Atmospheric Environment,2015-01-01,103