Assessment of a New Screening Model for Use in Siting Near-Road NO2 Monitors

Larson, Timothy; Cheng, Hui; Cai, Mengyu

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Assessment of a New Screening Model for Use in Siting Near-Road NO2 Monitors

2014-09-01
By Larson, Timothy ; Cheng, Hui ; Cai, Mengyu

File Language:

English

Details

Creators:

Larson, Timothy ; Cheng, Hui ; Cai, Mengyu
Corporate Creators:

Pacific Northwest Transportation Consortium
Corporate Contributors:

United States. Dept. of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:
Publication/ Report Number:

2012-S-UW-0020
Resource Type:

Tech Report
Geographical Coverage:

United States ; Pacific States
Edition:

Final Report
Corporate Publisher:

Pacific Northwest Transportation Consortium
Abstract:

Near-road monitoring of nitrogen dioxide (NO2 ) in major urban areas in the U.S. will be required by 2013. It is not yet known exactly how many urban areas will be in attainment of the new NO2 air quality standard, due to a lack of historical near-road monitoring information. The answer is sensitive to the exact siting of these monitors with respect to the roadway and EPA’s siting guidance for near-road NO2 monitors is not yet officially established. In this project we will test the feasibility of a relatively new air quality model, the Quick Urban Industrial Complex (QUIC) model as a practical and economical screening tool for assessing near-road NO2 monitoring sites in a complex urban environment. Using the QUIC model, predictions of nitrogen oxides concentrations will be made at locations near Interstate 5 in Seattle. Model performance will be assessed by comparing predictions with accompanying measurements using a mobile monitoring platform.
Format:

PDF
Funding:

DTRT12-UTC10
Download URL:

https://rosap.ntl.bts.gov/view/dot/28075/dot_28075_DS1.pdf
File Type:

[PDF - 1.54 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha256:ccdea732699d69f359528a8a5139e6b2cdb9d0a711d72464170ab602aac2e667

File Language:

English

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