Seasonal effects in land use regression models for nitrogen dioxide, coarse particulate matter, and gaseous ammonia in Cleveland, Ohio

Shaibal Mukerjee; Robert D Willis; John T Walker; Davyda Hammond; Gary A Norris; Luther A Smith; David P Welch; Thomas M Peters

doi:10.5094/APR.2012.039

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Seasonal effects in land use regression models for nitrogen dioxide, coarse particulate matter, and gaseous ammonia in Cleveland, Ohio

Journal article

Open access

Peer reviewed

Seasonal effects in land use regression models for nitrogen dioxide, coarse particulate matter, and gaseous ammonia in Cleveland, Ohio

Shaibal Mukerjee, Robert D Willis, John T Walker, Davyda Hammond, Gary A Norris, Luther A Smith, David P Welch and Thomas M Peters

Atmospheric pollution research, Vol.3(3), pp.352-361

07/2012

DOI: 10.5094/APR.2012.039

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Abstract

Passive ambient air sampling for nitrogen dioxide (NO2), coarse particulate matter (PMc), and gaseous ammonia (NH3) was conducted at 22 monitoring sites, a compliance site, and a background site in the Cleveland, Ohio, USA area during summer 2009 and winter 2010. This air monitoring network was established to assess intra–urban gradients of air pollutants and evaluate the impact of traffic and urban emissions on air quality. Method evaluations of passive monitors, which were weeklong in duration for NO2 and PMc and two–weeklong for NH3, demonstrated the ability of the NO2 and NH3 monitors to adequately measure air pollution concentrations, while the precision of the PMc sampler showed the need for improvement. Seasonal differences were obvious from visual inspection for NO2 (higher in winter) and NH3 (higher in summer) but were less apparent for PMc levels. Land use regression models (LURs) revealed spatial gradients for NO2 and PMc from traffic and industrial sources. A strong summer/winter seasonal influence was detected in the LURs, with season being the only significant predictor of NH3. Explicit use of summer and winter seasons in the LURs revealed both a seasonal effect, per se, and also seasonal interaction with other predictor variables.

Urban air quality

Air pollution

Land use regression (LUR)

Traffic

Details

Title: Subtitle: Seasonal effects in land use regression models for nitrogen dioxide, coarse particulate matter, and gaseous ammonia in Cleveland, Ohio
Creators: Shaibal Mukerjee - National Exposure Research Laboratory, U.S. Environmental Protection Agency (E205-03), Research Triangle Park, NC, 27711, USA
Robert D Willis - National Exposure Research Laboratory, U.S. Environmental Protection Agency (E205-03), Research Triangle Park, NC, 27711, USA
John T Walker - National Risk Management Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA
Davyda Hammond - National Exposure Research Laboratory, U.S. Environmental Protection Agency (E205-03), Research Triangle Park, NC, 27711, USA
Gary A Norris - National Exposure Research Laboratory, U.S. Environmental Protection Agency (E205-03), Research Triangle Park, NC, 27711, USA
Luther A Smith - Alion Science and Technology, Inc., Research Triangle Park, NC, 27709, USA
David P Welch - Alion Science and Technology, Inc., Research Triangle Park, NC, 27709, USA
Thomas M Peters - University of Iowa, Iowa City, IA, 52242, USA
Resource Type: Journal article
Publication Details: Atmospheric pollution research, Vol.3(3), pp.352-361
DOI: 10.5094/APR.2012.039
ISSN: 1309-1042
eISSN: 1309-1042
Publisher: Elsevier B.V
Language: English
Date published: 07/2012
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Occupational and Environmental Health
Record Identifier: 9983997481302771

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