Title: An indicator-based problem reduction scheme for coupled reactive transport models - dataset

Freeman BL, Cleall P, Jefferson AD (2020). An indicator-based problem reduction scheme for coupled reactive transport models - dataset. Cardiff University. http://doi.org/10.17035/d.2019.0079832549

This data is not currently available because: Intent to publish project results

Access Method: Click to email a request for this data to opendata@cardiff.ac.uk

Cardiff University Dataset Creators

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2020

Data format: .xlsx

Estimated total storage size of dataset: Less than 100 megabytes

Number of Files In Dataset: 6

DOI : 10.17035/d.2019.0079832549

DOI URL: http://doi.org/10.17035/d.2019.0079832549

Related URL: http://rm4l.com/


A significant number of transport models have been developed for the simulation of chemical transport in porous media. However, the computational cost can become prohibitively expensive when a problem comprises multiple chemical species; particularly if transport is considered within a significant domain over a long time period. This dataset contains the results produced by a numerical model employing a new indicator-based multi-order problem reduction scheme (PRS) that adresses this issue, as well as those of a full (non-reduced) model. The dataset comprises 6 Excel files, each of which contains predicted chemical concentrations, errors and CPU times of the simulations. The files correspon to: i) a diffusion problem for the validation of the full model, ii) an applicability investigation used to determine the range of applicability of each order of the PRS, iii) a 4 species diffusion problem for the 0th order scheme, iv) a 6 species diffusion problem for the 1st order scheme, v) a 10 species diffusion problem for the 2nd order scheme and vi) a 6 species advection dominant problem for the 1st and 2nd order scheme.

Research results based upon these data are published at http://doi.org/10.1002/nme.6186

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Last updated on 2020-18-11 at 10:11