scholarly journals Global Land Use Regression Model for Nitrogen Dioxide Air Pollution

2017 ◽  
Vol 51 (12) ◽  
pp. 6957-6964 ◽  
Author(s):  
Andrew Larkin ◽  
Jeffrey A. Geddes ◽  
Randall V. Martin ◽  
Qingyang Xiao ◽  
Yang Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Nitrogen Dioxide ◽  
Regression Model ◽  
Land Use Regression ◽  
Global Land

scholarly journals Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan

2021 ◽  
Vol 13 (9) ◽  
pp. 4933
Author(s):  
Saimar Pervez ◽  
Ryuta Maruyama ◽  
Ayesha Riaz ◽  
Satoshi Nakai
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Urban Areas ◽  
Industrial Development ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Land Use Classification ◽  
Land Use Regression ◽  
Air Exposure

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.

scholarly journals A land use regression model for explaining spatial variation in air pollution levels using a wind sector based approach

2018 ◽  
Vol 630 ◽  
pp. 1324-1334 ◽  
Author(s):  
O. Naughton ◽  
A. Donnelly ◽  
P. Nolan ◽  
F. Pilla ◽  
B.D. Misstear ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Spatial Variation ◽  
Land Use Regression ◽  
Pollution Levels

Historical Estimation of Nitrogen Dioxide Exposures from a Satellite-based Land-Use Regression Model for Australia

2018 ◽  
Vol 2017 (1) ◽  
pp. 672
Author(s):  
Luke D. Knibbs ◽  
Craig P. Coorey ◽  
Matthew J. Bechle ◽  
Julian D. Marshall ◽  
Bin Jalaludin ◽  
...  
Keyword(s):  
Land Use ◽  
Nitrogen Dioxide ◽  
Regression Model ◽  
Land Use Regression

The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies

2007 ◽  
Vol 41 (16) ◽  
pp. 3453-3464 ◽  
Author(s):  
M.A. Arain ◽  
R. Blair ◽  
N. Finkelstein ◽  
J.R. Brook ◽  
T. Sahsuvaroglu ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Wind Fields ◽  
Land Use Regression ◽  
Pollution Concentrations

scholarly journals A Land Use Regression Model for Predicting Ambient Concentrations of Nitrogen Dioxide in Hamilton, Ontario, Canada

2006 ◽  
Vol 56 (8) ◽  
pp. 1059-1069 ◽  
Author(s):  
Talar Sahsuvaroglu ◽  
Altaf Arain ◽  
Pavlos Kanaroglou ◽  
Norm Finkelstein ◽  
Bruce Newbold ◽  
...  
Keyword(s):  
Land Use ◽  
Nitrogen Dioxide ◽  
Regression Model ◽  
Land Use Regression ◽  
Ambient Concentrations

PREDICTING SPATIAL VARIABILITY OF AMBIENT NITROGEN DIOXIDE IN MONTRÉAL, CANADA, WITH A LAND USE REGRESSION MODEL

Epidemiology ◽  
2004 ◽  
Vol 15 (4) ◽  
pp. S200
Author(s):  
Nicolas L. Gilbert ◽  
Mark S. Goldberg ◽  
Bernardo Beckerman ◽  
Michael Jerrett ◽  
Jeffrey R. Brook
Keyword(s):  
Land Use ◽  
Spatial Variability ◽  
Nitrogen Dioxide ◽  
Regression Model ◽  
Land Use Regression

A land use regression model for ambient nitrogen dioxide concentration nearby a commercial airport for low-cost flights (Rome-Ciampino)

2013 ◽  
Vol 2013 (1) ◽  
pp. 5099
Author(s):  
Alessandra Gaeta ◽  
Carla Ancona ◽  
Carla Ancona ◽  
Andrea Bolignano ◽  
Giorgio Cattani ◽  
...  
Keyword(s):  
Land Use ◽  
Nitrogen Dioxide ◽  
Regression Model ◽  
Low Cost ◽  
Land Use Regression

A site-optimised multi-scale GIS based land use regression model for simulating local scale patterns in air pollution

2019 ◽  
Vol 685 ◽  
pp. 134-149 ◽  
Author(s):  
Xuying Ma ◽  
Ian Longley ◽  
Jay Gao ◽  
Ayushi Kachhara ◽  
Jennifer Salmond
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Local Scale ◽  
Land Use Regression ◽  
Multi Scale ◽  
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