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Skip to Search Results- 1Adria, Marco (Supervisor)
- 1Alshehri, Naeem S.
- 1Altaf Arain, M.
- 1Anderson, Gwen.
- 1Anderson, R.S.
- 1Baker, I.T.
- 26Graduate and Postdoctoral Studies (GPS), Faculty of
- 26Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 2Renewable Resources, Department of
- 2Renewable Resources, Department of/Journal Articles (Renewable Resources)
- 1Law, Faculty of
- 1Law, Faculty of/Journal Articles (Law)
- 11Department of Civil and Environmental Engineering
- 3Department of Mechanical Engineering
- 3Faculty of Nursing
- 2Department of Chemical and Materials Engineering
- 2Department of Computing Science
- 1Department of Biological Sciences
- 4Deutsch, Clayton (Civil and Environmental Engineering)
- 2Li, Zukui (Chemical and Materials Engineering)
- 1AbouRizk, Simaan (Civil & Environmental Engineering)
- 1AbouRizk, Simaan (Civil and Environmental Engineering)
- 1Boisvert, Jeff (Mine Engineering)
- 1Cunha, Jose Carlos (Petrobras America Inc.)
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Fall 2010
Bioclimate envelope models are widely used to project potential species habitat under changing climate. Conceptually, these models are also well suited to match natural resource management practices to new climatic realities, for example by guiding species choice in reforestation programs....
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Fall 2022
Life cycle assessment (LCA) is becoming a popular tool to quantify environmental impacts including greenhouse gas (GHG) emissions. Because of the high number of assumptions and low quality of available data, the results of LCA are often viewed with skepticism. It is common for studies to provide...
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Fall 2021
This thesis aims to investigate, develop and advance solution techniques for optimization under uncertainty in process control, scheduling and operations research applications. Decision rule methods offer a rich and flexible framework for solving these classes of problems. Recent literature has...
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Decision Models for Operation and Maintenance of Offshore Wind Farms Considering Uncertainties
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Wind energy is an important renewable resource to meet the continually increasing global energy demand. The high wind power potential in the sea has led to the development of wind farms in the sea, referred to as offshore wind farms (OWFs). OWFs are an array of wind turbines built in the sea to...
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Fall 2010
Modeling spatial variables involves uncertainty. Uncertainty is affected by the degree to which a spatial variable has been sampled: decreased spacing between samples leads to decreased uncertainty. The reduction in uncertainty due to increased sampling is dependent on the properties of the...
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Fall 2017
Network connectivity is an indispensable component of any computer related activities. Any computer-like machine is connected to some kind of a network, which is further connected to another computer network. Technological advances allow users to connect any devices and use multiple applications....
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2015-08-15
Climate change is an important issue and educators have a responsibility to prepare students to face the challenges and future changes that climate change presents. Unfortunately, public uncertainty about the extent and causes of climate change and the interdisciplinary nature of the climate...
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Characterizing the performance of ecosystem models across time scales: A spectral analysis of the North American Carbon Program site-level synthesis
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Black, T.A., Izaurralde, R.C., Lokupitiya, E., Munger, J.W., Schaefer, K., Weng, E., Richardson, A.D., Altaf Arain, M., Luo, Y., Ciais, P., Ricciuto, D.M., Stoy, P.C., Dietze, M.C., Poulter, B., Barr, A.G., Liu, S., Hollinger, D., Tian, H., Suyker, A.E., Verbeeck, H., Price, D.T., Grant, R.F., Peng, C., Baker, I.T., Vargas, R., Anderson, R.S., Tonitto, C., Sahoo, A.K., Chen, J.M., Flanagan, L.B., Riley, W.J., Wang, W., Lafleur, P., Gough, C.M., Verma, S.B., Kucharik, C.J.
Ecosystem models are important tools for diagnosing the carbon cycle and projecting its behavior across space and time. Despite the fact that ecosystems respond to drivers at multiple time scales, most assessments of model performance do not discriminate different time scales. Spectral methods,...
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Fall 2023
Calculating and modeling a variogram from sparsely sampled data can be complex and time-consuming due to the need for expertise in selecting the appropriate parameters and fitting functions to the experimental variogram. To assist with variogram modeling, a novel approach based on Convolutional...