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Modelling Of Future Flood Risk Across Canada Under Climate Change, Ayushi Gaur
Modelling Of Future Flood Risk Across Canada Under Climate Change, Ayushi Gaur
Electronic Thesis and Dissertation Repository
Climate change has induced changes in key climate variables and hydrological cycle in Canada. In this study, future runoff projections made by 21 GCMs following four Representative Concentration Pathways (RCPs) are used as inputs into a macro-scaled hydrodynamic model: CaMa-Flood to simulate 25 km resolution daily streamflow across Canada for historical (1961-2005) and future (2061-2100) time-periods. Future changes in flood-hazard as a consequence of changes in flooding frequencies of historical 100-year and 250-year return period flood events, and changes in the month of occurrence of extreme flows are analyzed. Changes in flood risk at Canada’s 100 most populous cities and …
Predictive Shutdown Systems For Nuclear Power Plants, Drew J. Rankin
Predictive Shutdown Systems For Nuclear Power Plants, Drew J. Rankin
Electronic Thesis and Dissertation Repository
This dissertation investigates the use of a Kalman filter (KF) to predict, within the shutdown system (SDS) of a nuclear power plant (NPP), whether a safety parameter measurement will reach a corresponding trip set-point (TSP). The proposed predictive SDS (PSDS) designs aim to initiate shutdown actions at a time which is earlier than conventional shutdown initiation. These early detections are, in turn, expected to improve safety and productivity margins within the NPP. The KF-based point-PSDS design utilizes a linear time-varying (LTV) system model to predict mean safety parameter measurements for comparison against the TSP. The KF considers noise covariances that …
Climate Change Impact On Flood Hazard In The Grand River Basin, Ontario, Canada, Abhishek Gaur
Climate Change Impact On Flood Hazard In The Grand River Basin, Ontario, Canada, Abhishek Gaur
Electronic Thesis and Dissertation Repository
Rapidly changing climatic conditions across the globe are believed to have an impact on key climate variables and the hydrologic cycle. Changes in magnitude and frequency of peak flow patterns have been noted in rivers worldwide. The associated risk is projected to increase many folds during the 21st century. Therefore, it is necessary to quantify these impacts for effective water resource planning and management in future. Methodology chosen to do so should be able to capture variations in climate variables at fine temporal, spatial and distributional scales. Also, it should be able to cover uncertainties associated with future climatic, …