CABOT-O₃: An Optimization Model for Air Quality Benefit-Cost and Distributional Impacts Analysis

Area of Science:

• Environmental Science
• Public Health
• Mathematical Modeling
• Air Quality Management

Background:

• Previous models identified minimum-cost emission controls for air quality targets.
• Existing strategies may not fully account for health impacts or distributional effects.
• Ozone pollution remains a significant public health and environmental concern.

Purpose of the Study:

• Introduce the Cost And Benefit Optimization Tool for Ozone (CABOT-O3).
• Extend previous models by incorporating updated emissions, air quality relationships, and health impacts.
• Evaluate strategies for attaining ozone air quality standards by minimizing cost or maximizing net benefit, considering distributional impacts.

Main Methods:

• Utilized source apportionment photochemical air quality modeling to link emissions to ozone concentrations.
• Developed a health impacts analysis module to estimate changes in premature deaths and economic value.
• Applied a mathematical programming model to assess cost minimization versus net benefit maximization strategies.

Main Results:

• CABOT-O3 quantifies the contribution of emission reductions to ambient ozone levels across the U.S.
• Maximizing net benefits, compared to cost minimization for a uniform standard, resulted in varied emission and ozone reductions regionally.
• The study identified potential equity-efficiency trade-offs in air quality policy design.

Conclusions:

• CABOT-O3 provides a comprehensive tool for evaluating air quality policies considering costs, benefits, and health impacts.
• Optimizing for net benefits can lead to different spatial patterns of emission reductions than cost-minimization approaches.
• Policy decisions regarding air quality standards must consider potential trade-offs between efficiency and equity.