title: Economic sources and spatial distribution of airborne chromium risks in the U.S.
abstract: We present a model that integrates the economic input-output approach of life cycle assessment with environmental fate, exposure, and risk assessment to estimate the spatial distribution of air toxic health risks due to sector-specific economic activity in the U.S. The model is used to relate the economic activity and exposure potential (population density and meteorology) associated with point source emissions of the heavy metal and carcinogen, hexavalent chromium, or Cr(VI), on a county basis. Total direct annual airborne emissions of Cr(VI) in the U.S. were 44 tonnes in 2002, with 97% from facilities in four major sectors: power generation, wood, plastics, and chemicals, metals, and scientific services. These include 6 tonnes of Cr(VI) emitted in the supply chains of these sectors. A highly variable national distribution of lifetime cancer risk is predicted, with a population-weighted mean of 2.7 x 10(-7), but with hot-spot counties with lifetime risks as high as 6 x 10(-6). Furthermore, high exposures and risks tend to occur in more highly populated counties. In particular, the population of Los Angeles County is exposed to the highest level of risk in the country and almost three-quarters of the total predicted cancer incidence due to inhalation of airborne Cr(VI) emissions. This finding can be attributed largely to the use of Cr(VI) as a corrosion inhibitor by the scientific services sector facilities in the county, the use of shorter facility stacks, and their sitting within a highly populated area. These results indicate that linking economic activity, emission estimates, and fate and transport models for air toxics can inform both life cycle impact and comparative health risk assessments, allowing us to better target emission reductions to minimize hot-spots of risk.
authors.affiliation: Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA. pearlgrl@gmail.com
authors.forename: Amanda P
authors.initials: AP
authors.lastname: Rehr
authors.forename: Mitchell J
authors.initials: MJ
authors.lastname: Small
authors.forename: H Scott
authors.initials: HS
authors.lastname: Matthews
authors.forename: Chris T
authors.initials: CT
authors.lastname: Hendrickson
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000191:economics / Q000706:statistics & numerical data*; D002857:Chromium / Q000032:analysis*; D003247:Conservation of Natural Resources / Q000379:methods*; D004784:Environmental Monitoring; D007221:Industry / Q000706:statistics & numerical data; D008956:Models, Chemical; D018803:Models, Economic; D018570:Risk Assessment; D014481:United States
chemical_list: D000393:Air Pollutants; D002857:Chromium