Appendix A - Courses
Land Resource Science
|
LRS*6000 Physical Environment of Crops and Forests F [0.50]
|
| Recent literature on temperature, humidity, radiation, wind, gases and particles in crop and forest environments; evapotranspiration and photosynthesis of plant communities; modification of microclimates; applied micrometeorology. Offered in even-numbered years. |
|
LRS*6040 Micrometeorology W [0.50]
|
| Exchanges of mass, momentum and energy between the surface and the atmosphere will be studied in the context of larger-scale meterology. Diffusion and turbulence in and above plant canopies will be examined from theoretical and practical perspectives. Topics include time-series analysis, micrometeorological measurement theory, and basic principles of atmospheric science. Offered in even-numbered years. |
|
LRS*6280 Soil Physics F [0.50]
|
| The soil as a physical system with special regard to soil water movement and the diffusion and dispersion of chemical substances. Numerical techniques and computer solutions will be developed. |
|
LRS*6300 Applied Soil Physics F [0.50]
|
| The application of soil physical principles to practical problems concerning soil physical quality, erosion, land reclamation and industrial-waste disposal on land |
| Prerequisite(s): |
SOIL*3070. |
|
LRS*6320 Non-equilibrium Thermodynamics of Porous Media W [0.50]
|
| Transport processes in porous media such as soils, clays, and membranes are dealt with in the framework of non-equilibrium thermodynamics with emphasis on the coupling between water, solutes, heat and electric charge transport. Offered in alternate years. |
|
LRS*6380 Advanced Soil Chemistry W [0.50]
|
| The mathematical development of solute speciation models for aqueous solutions, surface complexation models for inorganic soil constituents and descrete and continuous functional group models for humic materials. |
|
LRS*6440 Field Sampling Strategies and Geostatistics W [0.50]
|
| Concepts and practical aspects of collecting, synthesizing and interpreting data from spatially and temporally variable and/or correlated fields. Hands-on experience in describing spatial structure of large data sets (supplied by student or instructor) using available software. (alternate years) |
|
