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Future year ozone source attribution modeling study using CMAQ-ISAM
Susan Collet1, Toru Kidokoro2, Prakash Karamchandani3
1a Product Regulatory Affairs , Toyota Motor North America , Ann Arbor , MI , USA.
Journal of the Air & Waste Management Association (1995)
|July 13, 2018
Summary
Future ozone levels in U.S. cities are primarily driven by boundary conditions, not local emissions. This study introduces CMAQ-ISAM for ozone source attribution, highlighting computational challenges for future air quality modeling.
Area of Science:
- Environmental Chemistry
- Atmospheric Science
- Air Quality Modeling
Background:
- Photochemical air quality models are essential for meeting National Ambient Air Quality Standards (NAAQS).
- Previous research utilized CAMx (Ozone and Particulate Matter Source Apportionment Technology and Higher-order Decoupled Direct Method) for ozone source-receptor relationships.
- Accurate source apportionment is crucial for effective emission reduction strategies.
Purpose of the Study:
- To apply the newly available Integrated Source Apportionment Method (ISAM) in the Community Multiscale Air Quality (CMAQ) model for future year (2030) ozone source attribution.
- To compare CMAQ-ISAM with CAMx's Ozone Source Apportionment Technology (OSAT).
- To assess the computational demands of CMAQ-ISAM for ozone and particulate matter (PM) source attribution.
Main Methods:
- Utilized CMAQ with the Integrated Source Apportionment Method (ISAM) for 2030 ozone source attribution modeling.
- Analyzed source contributions (boundary conditions, point sources, mobile sources) for selected U.S. cities.
- Compared CMAQ-ISAM results with previous findings from CAMx OSAT.
Main Results:
- Boundary conditions were identified as the dominant contributor to future July maximum daily 8-hour average (MDA8) ozone concentrations across selected U.S. cities.
- Point sources showed larger contributions in the eastern U.S. compared to the western U.S.
- Off-road mobile sources contributed significantly (around 20 ppb or 30%), while on-road mobile sources contributed approximately 5 ppb.
Conclusions:
- Boundary conditions are critical for accurately predicting future ozone levels, necessitating precise characterization.
- CMAQ-ISAM and CAMx OSAT yielded comparable results, with boundary conditions, point sources, and off-road mobile sources being key contributors.
- The current implementation of ISAM in CMAQ 5.0.2 presents significant computational challenges, particularly for PM source attribution, hindering long-term simulations.
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