EGU21-13208
https://doi.org/10.5194/egusphere-egu21-13208
EGU General Assembly 2021
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

How to upscale reaction-diffusion models

Jan Zawallich1, Daria Frohloff2, Tobias Spanner2, Marcus A. Horn2, Peter Dörsch3, and Olaf Ippisch1
Jan Zawallich et al.
  • 1Institute of Mathematics, Clausthal University of Technology, Clausthal-Zellerfeld, Germany (jfz17@tu-clausthal.de)
  • 2Institute of Microbiology, Leibniz University Hannover, Hanover, Germany
  • 3Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway

Denitrification is an important microbial process and potential source for nitrous oxide (N2O), an important greenhouse gas and destructor of stratospheric ozone. Quantitative predictions of denitrification in soils are difficult as denitrification, an anaerobic respiration process,  appears to occur even in well-areated soils. It is assumed that denitrification is active in dense aggregates over short time periods - so called hot spots and hot moments. While soil microbial metabolism occurs at the pore scale, the interest in denitrification is mostly at the field and landscape scale. Simulating both scales simultaneously is not feasible. Therefore, denitrification has to be upscaled from the pore to the aggregate scale without losing essential properties of the aggregates. An important key to effectively upscale is the anaerobic aggregate volume fraction.

In order to compare different upscaling techniques we conducted pure culture experiments with varying spatial structures. To avoid confounding effects associated with the transition of bacteria switching from oxic respiration to denitrification, we used bacteria only capable of the former. The investigated upscaling techniques include simplifying the microbial reaction as well as creating an effective one-dimensional diffusion model. We compare computation intensity and approximation quality of experimental results.

How to cite: Zawallich, J., Frohloff, D., Spanner, T., Horn, M. A., Dörsch, P., and Ippisch, O.: How to upscale reaction-diffusion models, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13208, https://doi.org/10.5194/egusphere-egu21-13208, 2021.