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

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>

scholarly journals ASSESSMENT OF AIR POLLUTION TOLERANCE INDEX OF PLANTS: A COMPARATIVE STUDY

2017 ◽  
Vol 9 (7) ◽  
pp. 83 ◽  
Author(s):  
Aasawari A. Tak ◽  
Umesh B. Kakde
Keyword(s):  
Air Pollution ◽  
Azadirachta Indica ◽  
Tree Species ◽  
Tectona Grandis ◽  
Acacia Nilotica ◽  
Tolerance Index ◽  
Tamarindus Indica ◽  
Cassia Fistula ◽  
Pollution Tolerance ◽  
Air Pollution Tolerance Index

Objective: Air pollution is one of the major global tribulations in many developing cities around the world. Addressing this sort of pollution is more intricate than other ecological challenges. As pollution is an upcoming issue, we aimed at assessing the air pollution tolerant plants from roadside exposed to vehicular air pollution from two different locations in Thane city.Methods: In the present study, commonly available ten roadside tree species selected from polluted and control area, and their air pollution tolerance index (APTI) determined in Thane city. The biochemical parameters viz. pH, ascorbic acid, total chlorophyll, relative water content (RWC) were considered to calculate APTI by using standard method.Results: The study shows that the control site has more APTI than the polluted site. The APTI observed minimum in Tectona grandis 5.2±0.3247 and maximum in Azadirachta indica 13.5±0.4404. Reduction in APTI at polluted site shows that Alstonia scholaris (6.6%), Tamarindus indica (8.8%) and Azadirachta indica (10.3%) were the most tolerant tree species, while Tectona grandis (47.5%), Acacia nilotica (27.4%) and Cassia fistula (20.7%) were more sensitive tree species. The results showed the order of tolerance (% difference in APTI) as Alstonia scholaris (6.6%)>Tamarindus indica (8.8%)>Azadirachta indica (10.3%)>Moringa pterygosperma (11.9%)>Mangifera indica (13.9%)>Bahunia variegate (14.3%)>Annona squamosa (18.7%)>Cassia fistula (20.7%)>Acacia nilotica (27.4%)>Tectona grandis (47.5%).Conclusion: Tolerant trees species can serve as a sink, and sensitive tree species can act as an indicator for air pollution mitigation. Thus, this study provides useful insights for selecting tolerant species for future planning and Greenbelt development in urban areas.

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

Assessment of Tolerance of Some Tree Species to Air Contamination Using Air Pollution Tolerance and Anticipated Performance Indices in Isfahan City, Iran

2021 ◽  
Vol 9 (1) ◽  
pp. 31-44
Author(s):  
Masoud Hatamimanesh ◽  
◽  
Samar Mortazavi ◽  
Eisa Solgi ◽  
Ahmad Mohtadi ◽  
...  
Keyword(s):  
Air Pollution ◽  
Tree Species ◽  
Urban Areas ◽  
Ailanthus Altissima ◽  
Tolerance Index ◽  
Air Contamination ◽  
Pollution Tolerance ◽  
Morus Nigra ◽  
Platanus Orientalis ◽  
Anticipated Performance Index

Background: In the present study, the tolerance of plantain tree species (Platanus orientalis, Morus nigra and Ailanthus altissima) to air pollution was evaluated using Air Pollution Tolerance Index (ATPI) and Anticipated Performance Index (API) index in Isfahan city (Iran). Methods: For this purpose, three dominant trees growing at six stations in Isfahan was selected and then sampling of the tree leaves was performed, after being transferred to the laboratory, the ATPI and API index were calculated. Results: The results of calculating the ATPI in the leaves of M. nigra, P. orientalis and A. altissima species showed that the highest values of ATPI index was obtained in M. nigra at 20.77 and then detected in P. orientalis and A. altissima with the values 14.90 and 14.33 respectively. According to API values Morus nigra had the best performance (Score = 6 so it classified as the Excellent) while P. orientalis and A. altissima had very good and intermediate performance, respectively. Conclusion: According to ATPI and API index most tolerant tree species was Morus nigra, so it would be the most suitable species for plantation programme in urban and pollutant areas followed by Platanus orientalis and Ailanthus altissima. As well as our results suggest that Platanus orientalis and Ailanthus altissima can be used as bio-indicators of air pollution due to their low ATPI scores (lower than 16). The present study suggests that the combination of both the ATPI and API indices for identifying and selection of plant species is very useful for plantation in urban areas.

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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