Using models to interpret the impact of roadside barriers on near-road air quality. (August 2016)
- Record Type:
- Journal Article
- Title:
- Using models to interpret the impact of roadside barriers on near-road air quality. (August 2016)
- Main Title:
- Using models to interpret the impact of roadside barriers on near-road air quality
- Authors:
- Amini, Seyedmorteza
Ahangar, Faraz Enayati
Schulte, Nico
Venkatram, Akula - Abstract:
- Abstract: The question this paper addresses is whether semi-empirical dispersion models based on data from controlled wind tunnel and tracer experiments can describe data collected downwind of a sound barrier next to a real-world urban highway. Both models are based on the mixed wake model described in Schulte et al. (2014). The first neglects the effects of stability on dispersion, and the second accounts for reduced entrainment into the wake of the barrier under unstable conditions. The models were evaluated with data collected downwind of a kilometer-long barrier next to the I-215 freeway running next to the University of California campus in Riverside. The data included measurements of 1) ultrafine particle (UFP) concentrations at several distances from the barrier, 2) micrometeorological variables upwind and downwind of the barrier, and 3) traffic flow separated by automobiles and trucks. Because the emission factor for UFP is highly uncertain, we treated it as a model parameter whose value is obtained by fitting model estimates to observations of UFP concentrations measured at distances where the barrier impact is not dominant. Both models provide adequate descriptions of both the magnitude and the spatial variation of observed concentrations. The good performance of the models reinforces the conclusion from Schulte et al. (2014) that the presence of the barrier is equivalent to shifting the line sources on the road upwind by a distance of about HU / u ∗ where H is theAbstract: The question this paper addresses is whether semi-empirical dispersion models based on data from controlled wind tunnel and tracer experiments can describe data collected downwind of a sound barrier next to a real-world urban highway. Both models are based on the mixed wake model described in Schulte et al. (2014). The first neglects the effects of stability on dispersion, and the second accounts for reduced entrainment into the wake of the barrier under unstable conditions. The models were evaluated with data collected downwind of a kilometer-long barrier next to the I-215 freeway running next to the University of California campus in Riverside. The data included measurements of 1) ultrafine particle (UFP) concentrations at several distances from the barrier, 2) micrometeorological variables upwind and downwind of the barrier, and 3) traffic flow separated by automobiles and trucks. Because the emission factor for UFP is highly uncertain, we treated it as a model parameter whose value is obtained by fitting model estimates to observations of UFP concentrations measured at distances where the barrier impact is not dominant. Both models provide adequate descriptions of both the magnitude and the spatial variation of observed concentrations. The good performance of the models reinforces the conclusion from Schulte et al. (2014) that the presence of the barrier is equivalent to shifting the line sources on the road upwind by a distance of about HU / u ∗ where H is the barrier height, U is the wind velocity at half of the barrier height, and u ∗ is the friction velocity. The models predict that a 4 m barrier results in a 35% reduction in average concentration within 40 m (10 times the barrier height) of the barrier, relative to the no-barrier site. This concentration reduction is 55% if the barrier height is doubled. Highlights: Roadside barriers produce effective mitigation of the impact of emissions. Real-world barrier effects can be described with simple model. Roadside barrier effects are equivalent to shifting source upwind. Model can be used to design roadside barriers. Model can be used to estimate UFP emission factors. … (more)
- Is Part Of:
- Atmospheric environment. Volume 138(2016)
- Journal:
- Atmospheric environment
- Issue:
- Volume 138(2016)
- Issue Display:
- Volume 138, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 138
- Issue:
- 2016
- Issue Sort Value:
- 2016-0138-2016-0000
- Page Start:
- 55
- Page End:
- 64
- Publication Date:
- 2016-08
- Subjects:
- Roadside barrier -- Dispersion modeling -- Line source -- Near-road air quality
Air -- Pollution -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
551.51 - Journal URLs:
- http://www.sciencedirect.com/web-editions/journal/13522310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.atmosenv.2016.05.001 ↗
- Languages:
- English
- ISSNs:
- 1352-2310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8579.xml