Spatiotemporally resolved emissions and concentrations of styrene, benzene, toluene, ethylbenzene, and xylenes (SBTEX) in the US Gulf region

Wang, Chi-Tsan; Baek, Bok H.; Vizuete, William; Engel, Lawrence S.; Xing, Jia; Green, Jaime; Serre, Marc; Strott, Richard; Bowden, Jared; Woo, Jung-Hun

doi:https://doi.org/10.5194/essd-15-5261-2023

Articles | Volume 15, issue 11

https://doi.org/10.5194/essd-15-5261-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-5261-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 11

Data description paper

|

28 Nov 2023

Data description paper |

| 28 Nov 2023

Spatiotemporally resolved emissions and concentrations of styrene, benzene, toluene, ethylbenzene, and xylenes (SBTEX) in the US Gulf region

Chi-Tsan Wang, Bok H. Baek, William Vizuete, Lawrence S. Engel, Jia Xing, Jaime Green, Marc Serre, Richard Strott, Jared Bowden, and Jung-Hun Woo

Supplement

https://doi.org/10.5194/essd-15-5261-2023-supplement

Data sets

The Styrene, Benzene, Toluene, Ethylbenzene and Xylenes (SBTEX) hourly gridding modeled emission and concentration for the Gulf region in the US Chi-Tsan Wang, Bok H. Baek, William Vizuete, and Lawrence S. Engel https://doi.org/10.5281/zenodo.7967541

Model code and software

Hazardous Air Pollutants Imputation (HAPI) (v1.0.1) C.-T. Wang and B. H. Baek https://doi.org/10.5281/zenodo.7987106

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Short summary

Hazardous air pollutant (HAP) human exposure studies usually rely on local measurements or dispersion model methods, but those methods are limited under spatial and temporal conditions. We processed the US EPA emission data to simulate the hourly HAP emission patterns and applied the chemical transport model to simulate the HAP concentrations. The modeled HAP results exhibit good agreement (R is 0.75 and NMB is −5.6 %) with observational data.