Reference number : GC-2017-Q4-01334, amendment number : , agreement type : G, recipient legal name : Najafi, Mohammad Reza (The University of Western Ontario), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Flooding, as a major natural disaster worldwide, threatens human lives and causes billions of dollars in damage_x000D_
each year. Accurate flood risk assessment, through proper representation of flood hazard, vulnerability and_x000D_
exposure, is crucial for the design, planning and management of societies and infrastructure. This project will_x000D_
develop a novel probabilistic flood modelling framework for accurate and precise estimation of flood_x000D_
characteristics (i.e. flood volume, extent, depth, velocity, time to peak, among others) which, coupled with the_x000D_
risk assessment package developed by RiskLogik, will be used to generate resilience plans for critical_x000D_
infrastructure. The proposed framework will provide a single most reliable estimate of flood characteristics that_x000D_
is suitable for risk and resilience assessment, and will quantify uncertainties in hydrologic and hydrodynamic_x000D_
modelling, flow hydrographs, parameters, and topographic data. The project will investigate an innovative_x000D_
extreme value approach that does not require threshold selection for flood estimation, and will propose a_x000D_
multi-objective performance measure for model optimization. The integrated framework (flood model_x000D_
integrated with RiskLogik's software) will systematically assess the vulnerability of critical infrastructure to_x000D_
flood risks in Canada and around the globe and evaluate/generate resilience plans. There will be considerable_x000D_
economic, social and environmental benefits for municipalities and other stakeholders in Canada and around_x000D_
the globe through the development of flood mitigation strategies using this framework., program purpose french : Flooding, as a major natural disaster worldwide, threatens human lives and causes billions of dollars in damage_x000D_
each year. Accurate flood risk assessment, through proper representation of flood hazard, vulnerability and_x000D_
exposure, is crucial for the design, planning and management of societies and infrastructure. This project will_x000D_
develop a novel probabilistic flood modelling framework for accurate and precise estimation of flood_x000D_
characteristics (i.e. flood volume, extent, depth, velocity, time to peak, among others) which, coupled with the_x000D_
risk assessment package developed by RiskLogik, will be used to generate resilience plans for critical_x000D_
infrastructure. The proposed framework will provide a single most reliable estimate of flood characteristics that_x000D_
is suitable for risk and resilience assessment, and will quantify uncertainties in hydrologic and hydrodynamic_x000D_
modelling, flow hydrographs, parameters, and topographic data. The project will investigate an innovative_x000D_
extreme value approach that does not require threshold selection for flood estimation, and will propose a_x000D_
multi-objective performance measure for model optimization. The integrated framework (flood model_x000D_
integrated with RiskLogik's software) will systematically assess the vulnerability of critical infrastructure to_x000D_
flood risks in Canada and around the globe and evaluate/generate resilience plans. There will be considerable_x000D_
economic, social and environmental benefits for municipalities and other stakeholders in Canada and around_x000D_
the globe through the development of flood mitigation strategies using this framework., agreement title english : A Novel Probabilistic Flood Modelling Framework to Improve Infrastructure Resilience, agreement title french : A Novel Probabilistic Flood Modelling Framework to Improve Infrastructure Resilience, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-01-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada