title: Modeling and validation of on-road CO2 emissions inventories at the urban regional scale.
abstract: 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 CO(2) emissions at the 1 × 1 km scale for the Boston, MA region and tested our approach with surface-level CO(2) 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 CO(2) 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.
authors: Department of Geography and Environment, Boston University, Boston, MA 02215, USA. mbrondf@post.harvard.edu
authors: Max N
authors: MN
authors: Brondfield
authors: Lucy R
authors: LR
authors: Hutyra
authors: Conor K
authors: CK
authors: Gately
authors: Steve M
authors: SM
authors: Raciti
authors: Scott A
authors: SA
authors: Peterson
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000706:statistics & numerical data; D001900:Boston; D002245:Carbon Dioxide / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods*; D008956:Models, Chemical; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D001335:Vehicle Emissions; D002245:Carbon Dioxide