Articles | Volume 16, issue 23
https://doi.org/10.5194/gmd-16-7059-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
05 Dec 2023
Methods for assessment of models |
| 05 Dec 2023
| 05 Dec 2023
An emulation-based approach for interrogating reactive transport models
Related authors
Biogeosciences, 22, 863–957, 2025
Biogeosciences, 22, 659–674, 2025
The Cryosphere, 17, 477–497, 2023
Cited articles
Abd, A. S. and Abushaikha, A. S.: Reactive transport in porous media: a review of recent mathematical efforts in modeling geochemical reactions in petroleum subsurface reservoirs, SN Appl. Sci., 3, 401, https://doi.org/10.1007/s42452-021-04396-9, 2021.
Ahmmed, B., Mudunuru, M. K., Karra, S., James, S. C., and Vesselinov, V. V.: A comparative study of machine learning models for predicting the state of reactive mixing, J. Comput. Phys., 432, 110147, https://doi.org/10.1016/j.jcp.2021.110147, 2021.
Anderson, R. T., Vrionis, H. A., Ortiz-Bernad, I., Resch, C. T., Long, P. E., Dayvault, R., Karp, K., Marutzky, S., Metzler, D. R., Peacock, A., White, D. C., Lowe, M., and Lovley, D. R.: Stimulating the In Situ Activity of Geobacter Species To Remove Uranium from the Groundwater of a Uranium-Contaminated Aquifer, Applied and Environmental Microbiology, 69, 5884–5891, https://doi.org/10.1128/AEM.69.10.5884-5891.2003, 2003.
Arora, B., Dwivedi, D., Faybishenko, B., Wainwright, H. M., and Jana, R. B.: 10. Understanding and Predicting Vadose Zone Processes, in: Reviews in Mineralogy & Geochemistry, vol. 85, edited by: Druhan, J. L. and Tournassat, C., De Gruyter, 303–328, https://doi.org/10.1515/9781501512001-011, 2020.
Bain, J. G., Blowes, D. W., Robertson, W. D., and Frind, E. O.: Modelling of sulfide oxidation with reactive transport at a mine drainage site, J. Contam. Hydrol., 41, 23–47, https://doi.org/10.1016/S0169-7722(99)00069-8, 2000.
