Numerical Modeling of Time‐lapse Electrical Resistivity Data for Improved Imaging of Managed Aquifer Recharge
| atmire.migration.oldid | 1811 | |
| dc.contributor.advisor | Pidlisecky, Adam | |
| dc.contributor.author | Ferguson, Curtis Matthew | |
| dc.date.accessioned | 2014-01-29T22:16:58Z | |
| dc.date.available | 2014-03-15T07:00:21Z | |
| dc.date.issued | 2014-01-29 | |
| dc.date.submitted | 2013 | en |
| dc.description.abstract | Time‐lapse electrical resistivity tomography (ERT) is becoming more useful for identifying spatial and temporal variability in unsaturated flow and transport processes. This research is focused on the numerical forward modeling of synthetic time‐lapse ERT data to simulate the response of a Managed Aquifer Recharge (MAR) pond in the Pajaro Valley, California. One of the issues identified at this site is that during the operation of the pond there is a time‐varying water layer, which has a large effect on the ERT data. We illustrate through forward modeling scenarios that small positional errors in either pond stage or topography will create large misfits between observed and calculated ERT data resulting in inversion artifacts. We develop a method to improve the accuracy of the pond stage or topographic positions by 1) estimating the time of electrode wetting for a subset of time‐lapse ERT data and, 2) applying a correction to the model by adjusting the stage height or electrode positions accordingly. Although the developed framework has some limitations, it has potential to improve MAR imaging capabilities at this site. | en_US |
| dc.identifier.citation | Ferguson, C. M. (2014). Numerical Modeling of Time‐lapse Electrical Resistivity Data for Improved Imaging of Managed Aquifer Recharge (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27143 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/27143 | |
| dc.identifier.uri | http://hdl.handle.net/11023/1330 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Geophysics | |
| dc.title | Numerical Modeling of Time‐lapse Electrical Resistivity Data for Improved Imaging of Managed Aquifer Recharge | |
| dc.type | master thesis | |
| thesis.degree.discipline | Geoscience | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |