Journal
ENVIRONMENTAL POLLUTION
Volume 170, Issue -, Pages 113-123Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2012.06.003
Keywords
CO2; On-road emissions; Transportation; Urban; Traffic
Categories
Funding
- National Science Foundation
- US Forest Service Urban Long Term Research Area Exploratory Awards (ULTRA-Ex) program [DEB-0948857]
- National Science Foundation CAREER grant [DEB-1149471]
- Division Of Environmental Biology
- Direct For Biological Sciences [0948857, 1149471] Funding Source: National Science Foundation
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On-road emissions are a major contributor to rising concentrations of atmospheric greenhouse gases. In this study, we applied a downscaling methodology based on commonly available spatial parameters to model on-road CO2 emissions at the 1 x 1 km scale for the Boston. MA region and tested our approach with surface-level CO2 observations. Using two previously constructed emissions inventories with differing spatial patterns and underlying data sources, we developed regression models based on impervious surface area and volume-weighted road density that could be scaled to any resolution. We found that the models accurately reflected the inventories at their original scales (R-2 = 0.63 for both models) and exhibited a strong relationship with observed CO2 mixing ratios when downscaled across the region. Moreover, the improved spatial agreement of the models over the original inventories confirmed that either product represents a viable basis for downscaling in other metropolitan regions, even with limited data. (c) 2012 Elsevier Ltd. All rights reserved.
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