TAPM: a practical approach to prognostic meteorological and air pollution modelling

2005 ◽  
Vol 20 (6) ◽  
pp. 737-752 ◽  
Author(s):  
Peter J. Hurley ◽  
William L. Physick ◽  
Ashok K. Luhar
Keyword(s):  
Air Pollution ◽  
Practical Approach ◽  
Air Pollution Modelling

scholarly journals Air pollution modelling using a Graphics Processing Unit with CUDA

2010 ◽  
Vol 181 (1) ◽  
pp. 105-112 ◽  
Author(s):  
F. Molnár ◽  
T. Szakály ◽  
R. Mészáros ◽  
I. Lagzi
Keyword(s):  
Air Pollution ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Air Pollution Modelling ◽  
Graphics Processing

scholarly journals Spatial air pollution modelling for a West-African town

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Sirak Zenebe Gebreab ◽  
Danielle Vienneau ◽  
Christian Feigenwinter ◽  
Hampâté Bâ ◽  
Guéladio Cissé ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Cost Effective ◽  
Epidemiological Studies ◽  
West African ◽  
Data Availability ◽  
Air Pollution Modelling ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Leave One Out

<p>Land use regression (LUR) modelling is a common approach used in European and Northern American epidemiological studies to assess urban and traffic related air pollution exposures. Studies applying LUR in Africa are lacking. A need exists to understand if this approach holds for an African setting, where urban features, pollutant exposures and data availability differ considerably from other continents. We developed a parsimonious regression model based on 48-hour nitrogen dioxide (NO<sub>2</sub>) concentrations measured at 40 sites in Kaédi, a medium sized West-African town, and variables generated in a geographic information system (GIS). Road variables and settlement land use characteristics were found to be important predictors of 48-hour NO<sub>2</sub> concentration in the model. About 68% of concentration variability in the town was explained by the model. The model was internally validated by leave-one-out cross-validation and it was found to perform moderately well. Furthermore, its parameters were robust to sampling variation. We applied the model at 100 m pixels to create a map describing the broad spatial pattern of NO<sub>2</sub> across Kaédi. In this research, we demonstrated the potential for LUR as a valid, cost-effective approach for air pollution modelling and mapping in an African town. If the methodology were to be adopted by environmental and public health authorities in these regions, it could provide a quick assessment of the local air pollution burden and potentially support air pollution policies and guidelines.</p>

An inventory of tree species in Europe—An essential data input for air pollution modelling

2008 ◽  
Vol 217 (3-4) ◽  
pp. 292-304 ◽  
Author(s):  
Carsten A. Skjøth ◽  
Camilla Geels ◽  
Martin Hvidberg ◽  
Ole Hertel ◽  
Jørgen Brandt ◽  
...  
Keyword(s):  
Air Pollution ◽  
Tree Species ◽  
Data Input ◽  
Air Pollution Modelling

Inverse air pollution modelling of urban-scale carbon monoxide emissions

1995 ◽  
Vol 29 (4) ◽  
pp. 497-516 ◽  
Author(s):  
Michael Mulholland ◽  
John H. Seinfeld
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Pollution Modelling

Air-Pollution modelling aspects: an overview.

2019 ◽  
pp. 79-95
Author(s):  
C Monojit ◽  
B Sangeeta ◽  
M Renu ◽  
A Amit
Keyword(s):  
Air Pollution ◽  
Air Pollution Modelling
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