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Skip to Search Results- 51Edmonton Social Planning Council
- 26Sustainable Forest Management Network
- 16Adamowicz, Wiktor
- 13Veeman, Michele M.
- 11Unterschultz, Jim
- 10Jeffrey, Scott
- 97Sustainable Forest Management Network
- 88Edmonton Social Planning Council (ESPC)
- 76Resource Economics and Environmental Sociology, Department of
- 49Resource Economics and Environmental Sociology, Department of/Project Reports (Resource Economics & Environmental Sociology)
- 44Oil Sands Research and Information Network (OSRIN)
- 42Sustainable Forest Management Network/Project Reports (Sustainable Forest Management Network)
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2009
This project report was completed by 14 graduate and undergraduate students in a social impact assessment course (AREC 450-550) during the Winter Term, January to April, 2009. The overall goal of this project was to learn specific concepts and methods for social impact assessment by undertaking...
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1992
Moerth, Carol A., Lacuna-Richman, Celeste, Bauer, Leonard, Gill, Dhara S.
A central role of the farm operator, and one that determines the ability of the operator to cope with uncertainty, is the making of decisions. The situations which necessitate decisions on the farm are complicated by the dual nature of the farm household which encompasses two separate, yet...
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1991
Thacker, D. J., Chanasyk, D. S., Powter, C. B., Macyk, T. M., Naeth, M. A., White, D. J.
To provide coordinated direction for reclamation research in Alberta, the need to review the current understanding and the role of soil physical properties in soil disturbance related activities was identified. Surface coal mining, pipeline and wellhead construction, oil sands extraction, timber...
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Step-by-Step mixture calculations for each time interval by sampling from joint distribution of wind speed (υ) and Solar radiation (s)
Download2024-02-26
Faridpak, Behdad, Musilek, Petr
Reduction of the calculation burden of probabilistic analyses arising from numerous uncertainties by utilizing a sequence of the inner approximation. A step-by-step approach is developed, defining the Lebesgue measure as the convergence criterion for the mixture of probability distributions