Document Detail

Assessing the relationship among urban trees, nitrogen dioxide, and respiratory health.
MedLine Citation:
PMID:  25103043     Owner:  NLM     Status:  Publisher    
Modeled atmospheric pollution removal by trees based on eddy flux, leaf, and chamber studies of relatively few species may not scale up to adequately assess landscape-level air pollution effects of the urban forest. A land use regression (LUR) model (R(2) = 0.70) based on NO2 measured at 144 sites in Portland, Oregon (USA), after controlling for roads, railroads, and elevation, estimated every 10 ha (20%) of tree canopy within 400 m of a site was associated with a 0.57 ppb decrease in NO2. Using BenMAP and a 200 m resolution NO2 model, we estimated that the NO2 reduction associated with trees in Portland could result in significantly fewer incidences of respiratory problems, providing a $7 million USD benefit annually. These in-situ urban measurements predict a significantly higher reduction of NO2 by urban trees than do existing models. Further studies are needed to maximize the potential of urban trees in improving air quality.
Meenakshi Rao; Linda A George; Todd N Rosenstiel; Vivek Shandas; Alexis Dinno
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-8-4
Journal Detail:
Title:  Environmental pollution (Barking, Essex : 1987)     Volume:  194C     ISSN:  1873-6424     ISO Abbreviation:  Environ. Pollut.     Publication Date:  2014 Aug 
Date Detail:
Created Date:  2014-8-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8804476     Medline TA:  Environ Pollut     Country:  -    
Other Details:
Languages:  ENG     Pagination:  96-104     Citation Subset:  -    
Copyright Information:
Copyright © 2014. Published by Elsevier Ltd.
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