Preprints
https://doi.org/10.5194/gmd-2020-322
https://doi.org/10.5194/gmd-2020-322

Submitted as: development and technical paper 22 Dec 2020

Submitted as: development and technical paper | 22 Dec 2020

Review status: this preprint is currently under review for the journal GMD.

Incorporating 15N into the outputs of SMOKE version 4.6 as the emission input dataset for CMAQ version 5.2.1 for assessing the role emission sources plays in controlling the isotopic composition of NOx, NOy, and atmospheric nitrate

Huan Fang1 and Greg Michalski1,2 Huan Fang and Greg Michalski
  • 1Department of Earth, Atmospheric, and Planetary Sciences Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, United States
  • 2Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN 47907, United States

Abstract. Nitrogen oxides (NOx = nitric oxide (NO) + nitrogen dioxides (NO2)) are important trace gases that affect atmospheric chemistry, air quality and climate. Contemporary development of NOx emissions inventories is limited by understanding of the roles of vegetation (net NOx source or net sink), gasoline and diesel in vehicle emissions, and application of NOx emission control technologies. In this study, we used the nitrogen stable isotope composition of NOx15N(NOx) to resolve the uncertainties in NOx emission sources, by incorporating 15N into the US EPA trace gas emission model SMOKE (Sparse Matrix Operator Kernel Emissions) and compared simulated spatiotemporal patterns in NOx isotopic composition with corresponding atmospheric measurements in West Lafayette, Indiana, USA. The results indicate potential underestimation of emissions from soil, livestock waste, off-road vehicles, and natural gas power plants and the potential overestimation of emissions from on-road vehicles and coal-fired power plants.

Huan Fang and Greg Michalski

 
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Huan Fang and Greg Michalski

Data sets

Simulating δ15N of NOx emission within Midwestern United States Huan Fang https://doi.org/10.5281/zenodo.4048992

Huan Fang and Greg Michalski

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Short summary
A new emission input dataset that incorporates nitrogen isotopes has been developed to simulate isotope tracers in air pollution. The NOx emission from different sources simulated by Sparse Matrix Operator Kerner Emissions (SMOKE) were replicated using 15N. The dataset is able to predict δ15N variations in NOx that are similar to those observed in aerosol and gases in the troposphere.