Modelling anthropogenic and natural emissions and their impact on pollutant concentrations

• Název práce v češtině: Modelování antropogenních a přírodních emisí a jejich vliv na koncentrace polutantů
• Název v anglickém jazyce: Modelling anthropogenic and natural emissions and their impact on pollutant concentrations
• Klíčová slova: Modelování; antropogenní emise; biogenní emise; emisní model; FUME; koncentrace; kvalita ovzduší; polutant
• Klíčová slova anglicky: Modelling; anthtropogenic emissions; biogenic emissions; emission model; FUME; concentrations; air quality; pollutants
• Akademický rok vypsání: 2019/2020
• Typ práce: disertační práce
• Jazyk práce: angličtina
• Ústav: Katedra fyziky atmosféry (32-KFA)
• Vedoucí / školitel: doc. Mgr. Peter Huszár, Ph.D.
• Řešitel: skrytý - zadáno a potvrzeno stud. odd.
• Datum přihlášení: 02.10.2020
• Datum zadání: 02.10.2020
• Datum potvrzení stud. oddělením: 02.10.2020
• Datum a čas obhajoby: 01.04.2025 10:30
• Datum odevzdání elektronické podoby: 08.01.2025
• Datum odevzdání tištěné podoby: 08.01.2025
• Datum proběhlé obhajoby: 01.04.2025
• Oponenti: Claire Granier
• Konzultanti: RNDr. Kateřina Šindelářová, Ph.D.

Zásady pro vypracování

The phd candidate will join the development team responsible for the FUME emission model (www.fume-ep.org). FUME is an open source software intended primarily for the preparation of emissions for chemical transport models. As such, FUME is responsible for preprocessing the input files and the spatial distribution, chemical speciation, and time disaggregation of the primary emission inputs. The contribution of the PhD student to FUME will be the development and implementation of meteorology dependent emission modules and testing their output in chemistry transport model. These will include improvements in the biogenic emission module (currently MEGAN), improvements in the module for calculating ammonia emission from live-stock and different agricultural activities, implementation of temperature dependent domestic heating module and module for wind -induced dust emissions. The implementation of module for defining sector/species based emission scenarios and improvements in overall model performance (speed) will be also part of his tasks. Finally, the candidate will focus on the assessment of the response of these emissions within a state-of-the-art chemistry transport model. The outcome of a successful research will be advanced emission model extended with different modules for meteorology-dependent emission calculation and a detailed knowledge on how these emissions influence the final pollutant concentrations in chemistry transport model over regional scales, especially during heavy air pollution events.

Seznam odborné literatury

[1] https://fume-ep.org
[2] MEGAN v2.1 - Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492, https://doi.org/10.5194/gmd-5-1471-2012, 2012.
[3] Skjøth, C. A., Geels, C., Berge, H., Gyldenkærne, S., Fagerli, H., Ellermann, T., Frohn, L. M., Christensen, J., Hansen, K. M., Hansen, K., and Hertel, O.: Spatial and temporal variations in ammonia emissions – a freely accessible model code for Europe, Atmos. Chem. Phys., 11, 5221–5236, https://doi.org/10.5194/acp-11-5221-2011, 2011.
[4] Jianqi Zhao, Xiaoyan Ma, Shuoqiu Wu, Tong Sha: Dust emission and transport in Northwest China: WRF-Chem simulation and comparisons with multi-sensor observations, Atmospheric Research, Volume 241, 2020,104978, https://doi.org/10.1016/j.atmosres.2020.104978.

[5]Brasseur and Jacob: Modeling of Atmospheric Chemistry 1st Edition, Cambridge University Press; 1 edition, 2017.

[6]Seinfeld and Pandis: Atmospheric chemistry and physics, Wiley, New York, 1998.

Předběžná náplň práce v anglickém jazyce

The phd candidate will join the development team responsible for the FUME emission model (www.fume-ep.org). FUME is an open source software intended primarily for the preparation of emissions for chemical transport models. As such, FUME is responsible for preprocessing the input files and the spatial distribution, chemical speciation, and time disaggregation of the primary emission inputs. The contribution of the PhD student to FUME will be the development and implementation of meteorology dependent emission modules and testing their output in chemistry transport model. These will include improvements in the biogenic emission module (currently MEGAN), improvements in the module for calculating ammonia emission from live-stock and different agricultural activities, implementation of temperature dependent domestic heating module and module for wind -induced dust emissions. The implementation of module for defining sector/species based emission scenarios and improvements in overall model performance (speed) will be also part of his tasks. Finally, the candidate will focus on the assessment of the response of these emissions within a state-of-the-art chemistry transport model. The outcome of a successful research will be advanced emission model extended with different modules for meteorology-dependent emission calculation and a detailed knowledge on how these emissions influence the final pollutant concentrations in chemistry transport model over regional scales, especially during heavy air pollution events.