EmissV: A preprocessor for WRF-Chem model

Authors

  • Daniel Schuch Department Atmospheric sciences, University of são Paulo, são Paulo, 05508-090, Brazil
  • Sergio Ibarra Department Atmospheric sciences, University of são Paulo, são Paulo, 05508-090, Brazil
  • Edmilson Dias de Freitas Department Atmospheric sciences, University of são Paulo, são Paulo, 05508-090, Brazil
  • Maria de Fátima Andrade Department Atmospheric sciences, University of são Paulo, são Paulo, 05508-090, Brazil

DOI:

https://doi.org/10.30564/jasr.v1i1.347

Abstract

Air quality models are tools capable to predict the physical and chemical processes that affect air pollutants as they disperse and reacts in the atmosphere. These models need input containing meteorological data, terrestrial data and emissions. Meteorological and terrestrial data comes from different sources such as meteorological stations and satellite images which are important to represent the current state of the atmosphere and are available at least on a daily frequency. On the other hand, the emission data comes from pollution inventories generated mainly from governmental reports, this data needs to be processed by various reasons such as the correction of outdated emissions, for combining inventories or to speciate the emitted pollutants to different chemical mechanisms. EmissV is a code written into a high-level programming language to create emissions input for these atmospheric models. The emissions from EmissV are coherent with the total and the spatial distribution of emissions obtained from other preprocessors.

Keywords:

Emissions; Air Quality Model; Numerical Models; Preprocessor; Air Pollution Inventories

References

[1] Bates, D. Chambers, J. Dalgaard, P. Gentleman, R. Hornik, R. Ihaka, R. Kalibera, T. Lawrence, M. Leisch, F. Ligges, U. Lumley, T. Maechler, M. Morgan, M. Murrell, P. Plummer, M. Ripley, B. Sarkar, D. Lang, D. T. Tierney, L. Urbanek, S. (2018), "R: A language and environment for statistical computing", R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org

[2] Schuch, D. and Ibarra-Espinosa, S. (2018), "EmissV: Vehicular Emissions by Top-Down Methods", R package version 0.665.0.2. URL https://atmoschem.github.io/EmissV. (DOI:https://doi.org/10.5281/zenodo.1451026)

[3] Schuch, D. Ibarra-Espinosa, S. and Freitas, E. D. (2018), "EmissV: An R package to create vehicular and other emissions by Top-down methods to air quality models", The Journal of Open Source Software, 3(30), 1-6. (DOI:https://doi.org/10.21105/joss.00662)

[4] Streets et al. (2010), "HTAP report, Part A: Chapter 3: Emission Inventories and Projections", Air Pollution Studies, 17. URL http://www.htap.org/publications/assessment_reports.htm

[5] Joumard, R. (1999), "Methods of estimation of atmospheric emissions from transport: European scientist network and scientific state-of-the-art". Action COST 319 final report, URL https://hal.archives-ouvertes.fr/hal-01253787/document (hal-01253787)

[6] Janssens-Maenhout, G. Dentener, F. Van Aardenne, J. Monni, S. Pagliari, V. Orlandini, L. Klimont, Z. Kurokawa, J. Akimoto, H. O'Hara, T. Wankmueller, R. Battye, B. Grano, D. Zuber, A. Keating, T. (2012), "EDGAR-HTAP: a harmonized gridded air pollution emission dataset based on national inventories", JRC Scientific and Technical Report, JRC58434, Publications Office of the European Union, Luxembourg. (DOI:https://doi.org/10.2788/14102)

[7] Lamarque, J.-F. Bond, T. C. Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G., Shindell, D., Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell, J. R., Naik, V., Riahi, K., and Van Vuuren, D. P. (2010), "Historical (1850-2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application", Atmospheric Chemistry and Physics, 10, 7017-7039. (DOI:https://doi.org/10.5194/acp-10-7017-2010)

[8] Ntziachristos, L. and Samaras, Z. (2016), "Passenger cars, light commercial trucks, heavy-duty vehicles including buses and motor cycles", EEA, EMEP. EEA air pollutant emission inventory guidebook-2009. European Environment Agency, Copenhagen.

[9] Andrade, M. D. F. Ynoue, R. Y. Freitas, E. D. Todesco, E. Vara-Vela, A. Ibarra, S. Droprinchinski, L. Martins, J. Carvalho, V. S. B. (2015), "Air quality forecasting system for Southeastern Brazil", Frontiers in environmental Science, 3(9). (DOI: https://doi.org/10.3389/fenvs.2015.00009)

[10] Pérez-Martínez, P. J. Miranda, R. M. Nogueira, T. Guardani, M. L. Fornaro, A. Ynoue, R. and Andrade, M. F. (2014), "Emission factors of air pollutants from vehicles measured inside road tunnels in São Paulo: case study comparison", International Journal of Environmental Science and Technology, 11(8), 2155-2168.

[11] Li, M. Zhang, Q. Streets, D. G. He, K. B. Cheng, Y. F. Emmons, L. K. Huo, H. Kang, S. C. Lu, Z. Su, H. Yu, H. Zhang, Y. (2014), "Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple chemical mechanisms", Atmospheric Chemistry and Physics, 14(11), 5617-5638. (DOI: https://doi.org/10.1.1.455.4050)

[12] Rafee, S. Martins, L. D. Kawashima, A. B. Almeida, D. S. Morais, M. V. B. Souza, R. V. A. Oliveira, M. B. L. Souza, R. A. F. Medeiros, A. S. S. Urbina, V. Freitas, E. D. Martin, S. T. and Martins, J. A. (2017), "Contributions of mobile, stationary and biogenic sources to air pollution in the Amazon rainforest: a numerical study with the WRF-Chem model", Atmospheric Chemistry and Physics, 17(12), 7977-7995. (DOI:https://doi.org/10.5194/acp-17-7977-2017)

[13] Crippa, M. Guizzardi, D. Muntean, M. Schaaf, E. Dentener, F. Van Aardenne, J. A. Monni, S. Doering, U. Olivier, J. G. J. Pagliari, V. Janssens-Maenhout, G. (2018), "Gridded emissions of air pollutants for the period 1970-2012 within EDGAR v4.3.2", Earth System Science Data, 10. (DOI: https://doi.org/10.5194/essd-10-1987-2018)

[14] Grell, G. A. Peckham, S. E Schmitz, R. McKeen, S. A. Wilczak, J. and Eder, B. (2005) "Fully coupled "online" chemistry within the WRF model", Atmospheric Environment, 39(37), 6957-6975. (DOI:https://doi.org/10.1016/j.atmosenv.2005.04.027)

[15] Pierce, D. (2017). "ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files", R package version 1.16. URL https://CRAN.R-project.org/package=ncdf4

[16] Michna, P. and Woods, M. (2017), "RNetCDF: Interface to NetCDF Datasets", R package version 1.9-1. https://CRAN.R-project.org/package=RNetCDF

[17] Buttlar J. (2015), "ncdf.tools: Easier 'NetCDF' File Handling", R package version 0.7.1.295. https://CRAN.R-project.org/package=ncdf.tools

[18] Ibarra-Espinosa, S., Schuch, D. and Dias de Freitas., E., (2018), "eixport: An R package to export emissions to atmospheric models", Journal of Open Source Software, 3(24). (DOI:https://doi.org/10.21105/joss.00607)

[19] Walters, S. and Pfister, G. (2018), "Antho emiss", URL https://www2.acom.ucar.edu/wrf-chem/wrf-chem-tools-community

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How to Cite

Schuch, D., Ibarra, S., Freitas, E. D. de, & Andrade, M. de F. (2018). EmissV: A preprocessor for WRF-Chem model. Journal of Atmospheric Science Research, 1(1), 1–5. https://doi.org/10.30564/jasr.v1i1.347

Issue

Vol. 1 , Iss. 1 (October 2018)

Article Type

Article

License

Copyright © 2018 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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