Development and evaluation of the RapidAir® dispersion model, including the use of geospatial surrogates to represent street canyon effects. (October 2018)
- Record Type:
- Journal Article
- Title:
- Development and evaluation of the RapidAir® dispersion model, including the use of geospatial surrogates to represent street canyon effects. (October 2018)
- Main Title:
- Development and evaluation of the RapidAir® dispersion model, including the use of geospatial surrogates to represent street canyon effects
- Authors:
- Masey, Nicola
Hamilton, Scott
Beverland, Iain J. - Abstract:
- Abstract: We developed a dispersion model (RapidAir ® ) to estimate air pollution concentrations at fine spatial resolution over large geographical areas with fast run times. Concentrations were modelled at 5 m spatial resolution over an area of ∼3500 km 2 in <10 min. RapidAir ® was evaluated by estimating NOx and NO2 concentrations at 86 continuous monitoring sites in London, UK during 2008. The model predictions explained 66% of the spatial variation (r = 0.81) in annual NOx concentrations observed at the monitoring sites. We included discrete canyon models or geospatial surrogates (sky view factor, hill shading and wind effect) to improve the accuracy of model predictions at kerbside locations. Geospatial surrogates provide alternatives to discrete street canyon models where it is impractical to run canyon models for thousands of streets within a large city dispersion model (with advantages including: ease of operation; faster run times; and more complete treatment of building effects). Graphical abstract: Image 1 Highlights: RapidAir ® dispersion model evaluated for annual NOx and NO2 in London, UK. 5 × 5 m resolution model generated for 3500 km 2 area in under 10 min. Largest underestimation at kerbside sites (annual NMB = −0.25 vs. −0.05). Inclusion of canyon models reduced NMB in street canyons (−0.14 vs. −0.18). Geospatial surrogates used to represent urban morphology over large area.
- Is Part Of:
- Environmental modelling & software. Volume 108(2018)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 108(2018)
- Issue Display:
- Volume 108, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 108
- Issue:
- 2018
- Issue Sort Value:
- 2018-0108-2018-0000
- Page Start:
- 253
- Page End:
- 263
- Publication Date:
- 2018-10
- Subjects:
- Dispersion modelling -- Air pollution -- GIS -- NOx -- NO2 -- Street canyon
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2018.05.014 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.522800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17935.xml