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Calculation of sensitivity coefficients using CMAQ-DDM for individual airport emissions in the United States
| Content Provider | Semantic Scholar |
|---|---|
| Author | Boone, Scott |
| Copyright Year | 2015 |
| Abstract | Scott T. Boone: Calculation of Sensitivity Coefficients Using CMAQ-DDM for Individual Airport Emissions in the United States. (Under the direction of Saravanan Arunachalam and Marc Serre) The Community Multiscale Air Quality (CMAQ) model instrumented with the Direct Decoupled Method in three dimensions (DDM-3D), an advanced method for sensitivity analysis of chemical transport models, is used to quantify individual impacts of large and mid-size US airports on ambient air quality. Sensitivity coefficients are generated for six precursor species groups, allowing estimations of O3 and PM2.5 concentrations from each of 66 individual airports. Airports were divided into groups, minimizing interference and allowing more airports to be analyzed while keeping total simulation runtimes as low as possible. Chorded aviation activity data from the Aviation Environmental Design Tool (AEDT) were used to generate speciated emissions along flight tracks during landing and takeoff (LTO) activities. Sensitivity grids were generated for ozone and primary and secondary components of fine particulate matter for the 66 airports in the domain. Emissions from these airports account for 61% of flights and 77% of fuel burn in the 2005 AEDT inventory; sensitivities from these airports account for 73% of total aviation LTO PM2.5 sensitivities and 57% of total aviation LTO O3 sensitivities in the domain. Aircraft LTO operations for all airports in the domain were found to be responsible for an increase in annual average PM2.5 concentrations of 2.4×10−3 μg/m3 nationwide (0.038% of PM2.5 concentrations from all sources), with this level climbing to as high as 0.025 μg/m3 near major airports. Ozone concentrations displayed an annual domain average 8-hr max sensitivity of 1.8×10−2 ppbv (0.036% of O3 concentrations from all sources). Sensitivity to PM2.5 precursor emissions from individual airports was often far-reaching. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://cdr.lib.unc.edu/indexablecontent/uuid:80ce60db-3291-4c9b-8bc0-fe77de76e825?dl=true |
| Alternate Webpage(s) | https://sph.unc.edu/files/2014/03/Boone-Scott.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
