Cross-scale models for iron oxides bioreduction rates
Bioreduction rates of iron (Fe) oxides are a key variable for predicting the fate and transport of Fe and contaminants in subsurface environments. Such rates, however, vary significantly at different spatial scales, and change in orders of magnitude even within the same scale. This study first collected and consistently processed the data of Fe oxide bioreduction rates from literature, which were then used to train a machine learning (ML) model that resulted in a well-fitted relationship between the cross-scale bioreduction rates and common influencing factors including electron donor concentrations, electron numbers, Fe concentrations, cell numbers, and reaction Gibbs free energy. Sensitivity analysis was performed to provide insights into the relative role of the influencing factors and how they affect the rates. The result indicated that their effects were generally consistent with saturation type models. New experiments of iron oxide bioreduction were performed to validate the ML-based cross-scale model. The result showed that ML-based model well predicted the experimental results, indicating the effectiveness of the model. The result has a strong implication for developing the models of cross-scale reaction rates of iron oxide bioreduction in environmental systems and for predicting the fate and transport of iron and contaminants.
First ; Corresponding
National Natural Science Foundation of China;
|WOS Research Area|
Engineering ; Geology ; Water Resources
Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
|WOS Accession No|
|ESI Research Field|
Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||School of Environmental Science and Engineering|
State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control,School of the Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
|First Author Affilication||School of Environmental Science and Engineering|
|Corresponding Author Affilication||School of Environmental Science and Engineering|
|First Author's First Affilication||School of Environmental Science and Engineering|
Zhu，Huiyan,Wang，Shuai,Gao，Kun,et al. Cross-scale models for iron oxides bioreduction rates[J]. Journal of Hydrology,2023,624.
Zhu，Huiyan,Wang，Shuai,Gao，Kun,&Liu，Chongxuan.(2023).Cross-scale models for iron oxides bioreduction rates.Journal of Hydrology,624.
Zhu，Huiyan,et al."Cross-scale models for iron oxides bioreduction rates".Journal of Hydrology 624(2023).
|Files in This Item:||There are no files associated with this item.|
|Recommend this item|
|Export to Endnote|
|Export to Excel|
|Export to Csv|
|Similar articles in Google Scholar|
|Similar articles in Baidu Scholar|
|Similar articles in Bing Scholar|
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.