Knowledge Resource Center for Ecological Environment in Arid Area
| 项目编号 | DE-SC0019437 |
| Experimental and Modeling Studies of Transport and Retention of Motile Microbes in Pore-Networks for Improved Prediction of Metal Bioremediation | |
| Parashar, Rishi | |
| 主持机构 | Board of Regents, obo, Nevada System of Higher Education (NSHE) - Desert Research Institute |
| 开始日期 | 2018 |
| 结束日期 | 2021 |
| 资助经费 | 545838(USD) |
| 项目类别 | Grant |
| 资助机构 | US-DOE（美国能源部） |
| 语种 | 英语 |
| 国家 | 美国 |
| 中文简介 | Energy - Basic Energy Sciences |
| 英文简介 | Experimental and Modeling Studies of Transport and Retention of Motile Microbes in Pore-Networks for Improved Prediction of Metal BioremediationRishi Parashar, Desert Research InstituteGroundwater supplies in several places can get contaminated by various pollutants including heavy metals and radionuclides. Although regulations have helped reduce the input of new metals to the environment, the old sites continue to leach toxic metals into groundwater aquifers. Metals present unique challenges for remediation and are usually unreachable for treatment in subsurface by the many methods available to decontaminate surface soils. In certain cases, remediation practices to clean the groundwater rely on subsurface bacteria to biologically and chemically alter the state of pollutants so that they turn into relatively innocuous substances. By stimulating the activity of natural microorganisms it is possible to manipulate the redox state of contaminants and greatly decrease their solubility, rendering them immobile and therefore reducing the risk of human exposure. Accurate numerical models of bioremediation are needed to support design and evaluation of field implementations. Existing models of contaminant bioremediation do not account for the movement of microorganisms, either passive movement with flowing groundwater or active movement by motile bacteria. We hypothesize that inclusion of microbial motility characteristics into a model of bacterial transport will significantly impact model predictions of metal bioremediation. A series of experiments with motile bacteria, using microfluidic devices and advance imaging techniques, will be conducted at the Environmental molecular Sciences Laboratory (EMSL) located at the Pacific Northwest National Lab (PNNL) to quantify the fundamental character of bacterial motion in porous media during active swimming. The experiments will form the basis for development and testing of new models of microbial transport and retention. While motility (a cell-scale phenomenon) cannot be explicitly included in field-scale models, effective transport and attachment/detachment rates can be. Micro-scale experimental observations and the models developed will be included in pore-scale simulations that will be used to generalize and upscale microbial transport to a broader range of pore geometries and flow conditions. The results of pore-scale simulations will be used to parameterize effective transport and retention properties for field-scale models of microbial transport that can be incorporated into existing simulators of metal bioremediation. The laboratory experiments, developed numerical models, and simulations will form the basis for testing of new modeling approaches to study microbial transport and retention, and investigation of upscaling methodologies applicable to field scale problems. For a test case, we will leverage the ongoing research at a field research site in Rifle, Colorado, for which sophisticated numerical models have already been developed. Those models will be extended based on our laboratory experiments and pore-scale studies to evaluate the impacts on predictions of field-scale reduction in bioavailability of uranium. The primary outcome will be a quantitative determination of the role that microbial motility plays in in-situ bioremediation. If, as expected, these effects are shown to be significant, then the models developed here will provide significant improvements to the existing field-scale simulators at the Rifle Integrated Field Research Challenge site. Most importantly, the enhanced models will support improved evaluation and design of future bioremediation implementations, thereby promoting better solutions to contamination problems and reducing risk of exposure to human and environmental receptors. |
| 来源学科分类 | Energy - Basic Energy Sciences |
| URL | SN20883 |
| 资源类型 | 项目 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/356077 |
| 推荐引用方式 GB/T 7714 | Parashar, Rishi.Experimental and Modeling Studies of Transport and Retention of Motile Microbes in Pore-Networks for Improved Prediction of Metal Bioremediation.2018. |
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