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Details

Research article
Authors

Liao KJ, Tagaris E, Russell AG, Amar P, He S, Manomaiphiboon K, and Woo JH

Journal

Journal of the Air & Waste Management Association

Summary
Using a regional air quality model and a technology analysis tool, this cost-benefit analysis assessed the additional emission reductions required and associated costs to offset impacts of climate change on air quality. Overall, an annual cost of $9.3 billion was estimated for offsetting climate change impacts on air quality in the regions examined. Results suggested that additional emission controls and associated costs for offsetting climate impacts should be considered in developing control strategies for achieving air quality targets in the future.
Population

Not available

Health Outcomes

Health Outcome List:

  • Not available

Environmental Agents

List of Environmental Agents:

  • Air pollutants (ozone, particulate matter (PM2.5/fine))

Source of Environmental Agents:

  • Anthropogenic emissions of precursor air pollutants (SO2, NOx, VOCs)

Economic Evaluation / Methods and Source

Type:

  • Cost analysis (CA)

Cost Measures:

  • Costs of anthropogenic precursor emissions reductions
  • costs of offsetting impacts on climate change
  • annualized capital costs (calculated by taking into account interest rates, lifetime of the emission control equipment, and capital recovery factors)
  • yearly operation and maintenance costs
  • implementation costs

Potential Cost Measures:

  • Control costs for reductions in primary PM2.5
  • interstate transport of precursors

Benefits Measures:

  • Not available

Potential Benefits Measures:

  • Not available

Location:

  • Six regions of the United States (West region, Central region, Great Lakes region, Northeast region, Mid-Atlantic region, and Southeast region)
  • five metropolitan cities within the United States (Atlanta, Chicago, Houston, Los Angeles, New York City)

Models Used:

  • The U.S. EPA's Models-3 Air Quality Modeling System—Fifth-Generation NCAR/Penn State Mesoscale Model (MM5)
  • Sparse Matrix Operator Kernel Emissions (SMOKE)
  • Community Multiscale Air Quality Model (CMAQ)

Models References:

  • References cited in publication — Sparse Matrix Operator Kernel Emissions (SMOKE) (http://www.smoke-model.org/index.cfm); MM5 (Grell et al., 2004); CMAQ (Byun et al., 2006)

Methods Used:

  • The authors assessed the additional emissions reductions required and associated costs to offset impacts of climate change on air quality. The authors — 1) implemented air quality modeling using current and future emissions scenarios for five metropolitan areas that experience high ozone and PM2.5 levels; and 2) used EPA’s control technology analysis tool (AirControlNET) to estimate the costs of emissions reductions of major ozone and PM2.5 precursors.

Sources Used:

  • AirControlNET Version 4.1 Documentation Report (E.H. Pechan and Associates, 2006); National Emission Inventory (NEI) (1999); The decoupled direct method for calculating sensitivity coefficients in chemical-kinetics (Dunker, 1984); The decoupled direct method for sensitivity analysis in a three-dimensional air quality model - implementation, accuracy, and efficiency (Dunker et al., 2002); Fast, direct sensitivity analysis of multidimensional photochemical models (Yang et al., 1997); additional sources cited in publication

Economic Citation / Fundings

Citation:

  • Liao KJ, Tagaris E, Russell AG, Amar P, He S, Manomaiphiboon K, and Woo JH. Cost analysis of impacts of climate change on regional air quality. Journal of the Air & Waste Management Association. 2010. 60; 2.
  • Pubmed
  • DOI

NIEHS Funding:

  • Not available

Other Funding: Not available