Syllabus
| # | Title | Description |
|---|---|---|
| 1 | The analysis of the processes that shape the Earth’s surface and their associated landforms has been dominated by field research attempts. This field tradition of geomorphic research can be traced back to the world’s early explorers, which provided the impetus for physiographic mapping and the necessary context to consider landscape origin and evolution. The focus on field geomorphic research is logical because geomorphologists can conduct research activities at the exact locations where processes operate and landforms are created. It should be noted that field research is not the only methodological approach available to the geomorphic research community. A second approach is numerical modeling. Modeling is broadly defined to include empirical and statistical approaches to quantify geomorphic phenomena, analytical approaches to define or extend governing equations, and numerical models of varying complexity to simulate and heuristically investigate geomorphic systems. A third methodological approach available to the geomorphic research community is physical modeling and experimentation using laboratory facilities. Combined field survey data and empirical, physical, statistical, and mathematical modeling approaches can aid in a better understanding of the interactions between biotic and abiotic landscape components and geomorphic processes that shape the earth’s surface and their associated landforms to help to implement geo-conservation and restoration efforts. | |
| 2 | Critical Thinking, Systems Thinking, Creative Thinking, Future Thinking | |
| 3 | Lectures using PowerPoint. Collaborative learning. Projects-based learning. Questions and Answers | |
| 4 | Active participation of students in collaborative learning and projects-based learning | |
| 5 | Projects: 8 Class activity: 8 Final exam: 4 | |
| 6 | Bennett, S. J., Ashmore, P., & Neuman, C. M. (2015). Transformative geomorphic research using laboratory experimentation. Geomorphology, 244, 1-8. Marti, C., Bezzola, G.R., 2006. Bed load transport in gravel bed rivers. In: Sambrook Smith, G.H., Best, J.L., Bristow, C.S., Petts, G.E. (Eds.), Braided Rivers: Process, Deposits, Ecology and Management. International Association of Sedimentologists, Special Publication 36, pp. 199–215. Hox, J. J., Moerbeek, M., & Van de Schoot, R. (2017). Multilevel analysis: Techniques and applications. Routledge. Manly, B. F. (2008). Statistics for environmental science and management. Chapman and Hall/CRC. Witt, A., Malamud, B. D., Rossi, M., Guzzetti, F., & Peruccacci, S. (2010). Temporal correlations and clustering of landslides. Earth Surface Processes and Landforms, 35(10), 1138-1156. Brazier, R. E. (2013). Erosion and sediment transport: finding simplicity in a complicated erosion model. Environmental Modelling: Finding Simplicity in Complexity, 253-266. Mulligan, M. A. R. K. (2004). Modelling catchment hydrology. John Wiley and Sons Ltd: Chichester. Hjort, J., & Luoto, M. (2013). Statistical methods for geomorphic distribution modeling. "Treatise on Geomorphology", 59-73. Darby, S. E., Alabyan, A. M., & Van de Wiel, M. J. (2002). Numerical simulation of bank erosion and channel migration in meandering rivers. Water Resources Research, 38(9), 2-1. Parker, G., Shimizu, Y., Wilkerson, G. V., Eke, E. C., Abad, J. D., Lauer, J. W., ... & Voller, V. R. (2011). A new framework for modeling the migration of meandering rivers. Earth Surface Processes and Landforms, 36(1), 70-86. Hancock, G. R., Lowry, J. B. C., Coulthard, T. J., Evans, K. G., & Moliere, D. R. (2010). A catchment scale evaluation of the SIBERIA and CAESAR landscape evolution models. Earth Surface Processes and Landforms, 35(8), 863-875. | |
| 7 | ||
| 8 | Pdf File |