Reconstructing environmental forcings on aeolian dune fields : results from modern, ancient, and numerically-simulated dunes
| dc.contributor.advisor | Kocurek, Gary | |
| dc.creator | Eastwood, Erin Nancy. | en |
| dc.date.accessioned | 2014-09-08T21:27:20Z | en |
| dc.date.issued | 2011-12 | en |
| dc.date.submitted | December 2011 | en |
| dc.date.updated | 2014-09-08T21:27:20Z | en |
| dc.description | text | en |
| dc.description.abstract | This dissertation combines studies of aeolian bedforms and aeolian dune-field patterns to create a comprehensive set of tools that can be used in tandem (or separately) to extract information about climate change and landscape evolution, and to identify the controls on formation for specific modern dune fields or ancient aeolian sequences. The spatial distribution of surface processes, erosion/deposition rates, and lee face sorting on aeolian dunes are each a function of the incident angle. This correlation between stratification style and incidence angle can be used to develop a “toolbox” of methods based on measurements of key suites of parameters found in ancient aeolian deposits. Information obtained from the rock record can be used as input data for different kinds of numerical models. Regional-scale paleowind conditions can be used to validate paleoclimate and global circulation models. Understanding the natural variability in the Earth’s climate throughout its history can help predict future climate change. Reconstructed wind regimes and bedform morphologies can be used in numerical models of aeolian dune-field pattern evolution to simulate patterns analogous to those reconstructed from ancient aeolian systems. Much of the diversity of aeolian dune-field patterns seen in the real world is a function of the sediment supply and transport capacity, which in turn determine the sediment availability of the system. Knowledge of the sediment supply, availability, and transport capacity of aeolian systems can be used to predict the amount of sand in the system and where it might have migrated. This information can be extremely useful for development and production of oil and gas accumulations, where a discovery has been made but the spatial extent of the aeolian reservoir is unknown. | en |
| dc.description.department | Earth and Planetary Sciences | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/2152/25791 | en |
| dc.subject | Aeolian | en |
| dc.subject | Sediment transport | en |
| dc.subject | Dune-field evolution | en |
| dc.subject | Dune-field development | en |
| dc.subject | Paleoclimate reconstructions | en |
| dc.subject | White Sands Dune Field, NM | en |
| dc.subject | Permian Cedar Mesa Sandstone, Utah | en |
| dc.subject | Numerical modeling | en |
| dc.subject | Sediment supply | en |
| dc.subject | Transport capacity | en |
| dc.subject | Dune-field patterns | en |
| dc.subject | Clustered bedforms | en |
| dc.subject | Superimposed bedforms | en |
| dc.subject | Climate change | en |
| dc.subject | Landscape evolution | en |
| dc.subject | Wind regimes | en |
| dc.title | Reconstructing environmental forcings on aeolian dune fields : results from modern, ancient, and numerically-simulated dunes | en |
| dc.type | Thesis | en |
| thesis.degree.department | Geological Sciences | en |
| thesis.degree.discipline | Geological Sciences | en |
| thesis.degree.grantor | The University of Texas at Austin | en |
| thesis.degree.level | Doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |