Literature DB >> 32636958

The effects of roadside vegetation characteristics on local, near-road air quality.

Parikshit Deshmukh1, Vlad Isakov2, Akula Venkatram3, Bo Yang4, K Max Zhang4, Russell Logan1, Richard Baldauf2.   

Abstract

Roadside vegetation has been shown to impact downwind, near-road air quality, with some studies identifying reductions in air pollution concentrations and others indicating increases in pollutant levels when vegetation is present. These widely contradictory results have resulted in confusion regarding the capability of vegetative barriers to mitigate near-road air pollution, which numerous studies have associated with significant adverse human health effects. Roadside vegetation studies have investigated the impact of many different types and conditions of vegetation barriers and urban forests, including preserved, existing vegetation stands usually consisting of mixtures of trees and shrubs or plantings of individual trees. A study was conducted along a highway with differing vegetation characteristics to identify if and how the changing characteristics affected downwind air quality. The results indicated that roadside vegetation needed to be of sufficient height, thickness, and coverage to achieve downwind air pollutant reductions. A vegetation stand which was highly porous and contained large gaps within the stand structure had increased downwind pollutant concentrations. These field study results were consistent with other studies that the roadside vegetation could lead to reductions in average, downwind pollutant concentrations by as much as 50% when this vegetation was thick with no gaps or openings. However, the presence of highly porous vegetation with gaps resulted in similar or sometimes higher concentrations than measured in a clearing with no vegetation. The combination of air quality and meteorological measurements indicated that the vegetation affects downwind pollutant concentrations through attenuation of meteorological and vehicle-induced turbulence as air passes through the vegetation, enhanced mixing as portions of the traffic pollution plume are blocked and forced over the vegetation, and through particulate deposition onto leaf and branch surfaces. Computational fluid dynamic modeling highlighted that density of the vegetation barrier affects pollutant levels, with a leaf area density of 3.0 m2 m-3 or higher needed to ensure downwind pollutant reductions for airborne particulate matter. These results show that roadside bushes and trees can be preserved or planted along highways and other localized pollution sources to mitigate air quality and human health impacts near the source if the planting adheres to important characteristics of height, thickness, and density with full coverage from the ground to the top of the canopy. The results also highlight the importance of planting denser vegetation and maintaining the integrity and structure of these vegetation barriers to achieve pollution reductions and not contribute to unintended increases in downwind air pollutant concentrations.

Entities:  

Year:  2019        PMID: 32636958      PMCID: PMC7339705     

Source DB:  PubMed          Journal:  Air Qual Atmos Health        ISSN: 1873-9318            Impact factor:   3.763


  13 in total

Review 1.  Ground-based measurements of leaf area index: a review of methods, instruments and current controversies.

Authors:  Nathalie J J Bréda
Journal:  J Exp Bot       Date:  2003-11       Impact factor: 6.992

2.  Field investigation of roadside vegetative and structural barrier impact on near-road ultrafine particle concentrations under a variety of wind conditions.

Authors:  Gayle S W Hagler; Ming-Yeng Lin; Andrey Khlystov; Richard W Baldauf; Vlad Isakov; James Faircloth; Laura E Jackson
Journal:  Sci Total Environ       Date:  2012-01-26       Impact factor: 7.963

3.  Roadside vegetation barrier designs to mitigate near-road air pollution impacts.

Authors:  Zheming Tong; Richard W Baldauf; Vlad Isakov; Parikshit Deshmukh; K Max Zhang
Journal:  Sci Total Environ       Date:  2015-10-09       Impact factor: 7.963

4.  Real-world emission factors of fine and ultrafine aerosol particles for different traffic situations in Switzerland.

Authors:  David Imhof; Ernest Weingartner; Carlos Ordónez; Robert Gehrig; Matz Hill; Brigitte Buchmann; Urs Baltensperger
Journal:  Environ Sci Technol       Date:  2005-11-01       Impact factor: 9.028

5.  Field assessment of the effects of roadside vegetation on near-road black carbon and particulate matter.

Authors:  Halley L Brantley; Gayle S W Hagler; Parikshit J Deshmukh; Richard W Baldauf
Journal:  Sci Total Environ       Date:  2013-09-04       Impact factor: 7.963

6.  The structure of turbulence near a tall forest edge: the backward-facing step flow analogy revisited.

Authors:  Matteo Detto; Gabriel G Katul; Mario Siqueira; Jehn-Yih Juang; Paul Stoy
Journal:  Ecol Appl       Date:  2008-09       Impact factor: 4.657

7.  Analysing the influence of different street vegetation on traffic-induced particle dispersion using microscale simulations.

Authors:  Annett Wania; Michael Bruse; Nadège Blond; Christiane Weber
Journal:  J Environ Manage       Date:  2011-09-15       Impact factor: 6.789

8.  Aerodynamic effects of trees on pollutant concentration in street canyons.

Authors:  Riccardo Buccolieri; Christof Gromke; Silvana Di Sabatino; Bodo Ruck
Journal:  Sci Total Environ       Date:  2009-07-10       Impact factor: 7.963

9.  Roadside Vegetation Design to Improve Local, Near-Road Air Quality.

Authors:  Richard Baldauf
Journal:  Transp Res D Transp Environ       Date:  2017-05-04       Impact factor: 5.495

10.  High-resolution mobile monitoring of carbon monoxide and ultrafine particle concentrations in a near-road environment.

Authors:  Gayle S W Hagler; Eben D Thoma; Richard W Baldauf
Journal:  J Air Waste Manag Assoc       Date:  2010-03       Impact factor: 2.235

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  3 in total

1.  Enhancing the local air quality benefits of roadside green infrastructure using low-cost, impermeable, solid structures (LISS).

Authors:  Khaled Hashad; Bo Yang; Richard W Baldauf; Parikshit Deshmukh; Vlad Isakov; K Max Zhang
Journal:  Sci Total Environ       Date:  2020-02-04       Impact factor: 7.963

2.  Identifying air pollution source impacts in urban communities using mobile monitoring.

Authors:  Parikshit Deshmukh; Sue Kimbrough; Stephen Krabbe; Russell Logan; Vlad Isakov; Richard Baldauf
Journal:  Sci Total Environ       Date:  2020-01-30       Impact factor: 7.963

3.  The associations between social, built and geophysical environment and age-specific dementia mortality among older adults in a high-density Asian city.

Authors:  Hung Chak Ho; Kenneth N K Fong; Ta-Chien Chan; Yuan Shi
Journal:  Int J Health Geogr       Date:  2020-12-04       Impact factor: 3.918

  3 in total

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