| Title | Calculation of Sensitivity Coefficients for Individual Airport Emissions in the Continental U.S. Using CMAQ-DDM/PM |
|---|---|
| Record ID | 82136 |
| Personal Name Creator |
Boone, Scott; Arunachalam, Saravanan |
| Corporate Creator | United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; University of North Carolina at Chapel Hill. Institute for the Environment |
| Corporate Contributor |
United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy |
| Publisher | United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment |
| Publication Date | 20140700 |
| Language | English |
| Abstract | Fine particulate matter (PM2:5) is a federally regulated air pollutant with well-known impacts on human health. The FAA's Destination 2025 program seeks to decrease aviation-related health impacts across the U.S. by 50% by the year 2018. Atmospheric models, such as the Community Multiscale Air Quality model (CMAQ), are used to estimate the atmospheric concentration of pollutants such as PM2:5. Sensitivity analysis of these models has long been limited to finite difference and regression-based methods, both of which require many computationally intensive model simulations to link changes in output with perturbations in input. Further, they are unable to offer detailed or ad hoc analysis for changes within a domain, such as changes in emissions on an airport-by-airport basis. In order to calculate the sensitivity of PM2:5 concentrations to emissions from individual airports, we utilize the Decoupled Direct Method in three dimensions (DDM-3D), an advanced sensitivity analysis tool recently implemented in CMAQ. DDM-3D allows calculation of sensitivity coefficients within a single simulation, eliminating the need for multiple model runs. However, while the output provides results for a variety of input perturbations in a single simulation, the processing time for each run is dramatically increased compared to simulations conducted without the DDM-3D module. |
| Rosap ID | dot:57443 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/57443 |
| TRT Terms | Aircraft exhaust gases; Airports; Landing; Nonlinear systems; Particulates; Sensitivity analysis; Takeoff |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1789294 |
| Contract Number | 09-C-NE-UNC |
| Report Number | 2616498.2616504 |
| Resource type | Proceedings |
| URL | https://ntlrepository.blob.core.windows.net/lib/82000/82100/82136/19-2616498.2616504_pub_Calculation.pdf |
| Format | |
| Database | NTL Digital Repository |