title: Future-year ozone prediction for the United States using updated models and inputs.
abstract: The relationship between emission reductions and changes in ozone can be studied using photochemical grid models. These models are updated with new information as it becomes available. The primary objective of this study was to update the previous Collet et al. studies by using the most up-to-date (at the time the study was done) modeling emission tools, inventories, and meteorology available to conduct ozone source attribution and sensitivity studies. Results show future-year, 2030, design values for 8-hr ozone concentrations were lower than base-year values, 2011. The ozone source attribution results for selected cities showed that boundary conditions were the dominant contributors to ozone concentrations at the western U.S. locations, and were important for many of the eastern U.S.
  
  
  
  Point sources were generally more important in the eastern United States than in the western United States. The contributions of on-road mobile emissions were less than 5 ppb at a majority of the cities selected for analysis. The higher-order decoupled direct method (HDDM) results showed that in most of the locations selected for analysis, NOx emission reductions were more effective than VOC emission reductions in reducing ozone levels. The source attribution results from this study provide useful information on the important source categories and provide some initial guidance on future emission reduction strategies.
  
  
  
  The relationship between emission reductions and changes in ozone can be studied using photochemical grid models, which are updated with new available information. This study was to update the previous Collet et al. studies by using the most current, at the time the study was done, models and inventory to conduct ozone source attribution and sensitivity studies. The source attribution results from this study provide useful information on the important source categories and provide some initial guidance on future emission reduction strategies.
authors.affiliation: a Toyota Motor North America, Inc ., Ann Arbor , MI , USA.
authors.forename: Susan
authors.initials: S
authors.lastname: Collet
authors.affiliation: b Toyota Motor Corporation , Shizuoka , Japan.
authors.forename: Toru
authors.initials: T
authors.lastname: Kidokoro
authors.affiliation: c Ramboll-Environ US Corporation , Novato , CA , USA.
authors.forename: Prakash
authors.initials: P
authors.lastname: Karamchandani
authors.affiliation: c Ramboll-Environ US Corporation , Novato , CA , USA.
authors.forename: Tejas
authors.initials: T
authors.lastname: Shah
authors.affiliation: c Ramboll-Environ US Corporation , Novato , CA , USA.
authors.forename: Jaegun
authors.initials: J
authors.lastname: Jung
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002947:Cities; D008962:Models, Theoretical; D009589:Nitrogen Oxides / Q000032:analysis; D010126:Ozone / Q000032:analysis*; D014481:United States; D055549:Volatile Organic Compounds / Q000032:analysis
chemical_list: D000393:Air Pollutants; D009589:Nitrogen Oxides; D055549:Volatile Organic Compounds; D010126:Ozone