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• W3134844873 endingPage "146121" @default.
• W3134844873 startingPage "146121" @default.
• W3134844873 abstract "In this study we utilize the Decoupled Direct Method (HDDM-3D) as implemented in the Community Multiscale Air Quality Model (CMAQ) to calculate first and second order sensitivity coefficients of O3 and PM2.5 concentrations with respect to aviation emissions during landing and takeoff (LTO) cycles at ten individual airports; five located in regions of attainment of O3 and PM2.5 NAAQS: Boston Logan (BOS), Kansas City (MCI), Raleigh-Durham (RDU), Seattle-Tacoma (SEA), and Tucson (TUS); and five airports in current nonattainment areas: Chicago O'Hare (ORD), Hartsfield- Jackson Atlanta (ATL), New York John F. Kennedy (JFK), Los Angeles (LAX), and Charlotte- Douglas (CLT). We utilize these coefficients in an attainment/nonattainment emission decrease/increase analysis to determine the importance of including second order sensitivity coefficients for quantifying O3 and PM2.5 concentration responses to LTO aircraft emission reductions near the airport. Sensitivity coefficients help to determine distinct chemical regimes, NOX-limited versus NOX-inhibited for the case of O3 formation, and NH3-rich versus NH3-poor for the case of PM2.5 formation. Overall, we find that NOX LTO emissions are the largest contributor to any potential nonlinearity in O3 and PM2.5 formation through LTO emissions. However, when utilizing Taylor series expansions to estimate O3 and PM2.5 concentration responses under LTO emission perturbation scenarios, differences in responses calculated using only first order coefficients and responses calculated using both first and second order coefficients were less than 1% for LTO emission perturbations less than 100%. Hence, we find from the results in this study that first order sensitivity coefficients are sufficient for constructing accurate LTO emissions perturbation scenarios. This study also demonstrates through the analyses performed, an illustration of how HDDM-based sensitivity calculations can be used to assess sector-specific impacts on attainment designations." @default.
• W3134844873 created "2021-03-15" @default.
• W3134844873 creator A5029390213 @default.
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• W3134844873 date "2021-07-01" @default.
• W3134844873 modified "2023-10-16" @default.
• W3134844873 title "Assessing the importance of nonlinearity for aircraft emissions' impact on O3 and PM2.5" @default.
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• W3134844873 doi "https://doi.org/10.1016/j.scitotenv.2021.146121" @default.
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