Mathematical Physics de...Mathematical Physics Arnold Heemink, TU Delft 11/17/08 2 Modelling...
Transcript of Mathematical Physics de...Mathematical Physics Arnold Heemink, TU Delft 11/17/08 2 Modelling...
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Mathematical PhysicsArnold Heemink, TU Delft
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Modelling physical phenomena using (stochastic) (partial) differential equations: Analysis of the model (resonance) Numerical simulation Inverse modelling (parameter estimation) Data assimilation (for real-time forecasting)
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Related courses at TU Delft: Advanced modelling in Science Nonlinear differential equations Environmental simulation and data
assimilation Computational aspect of stochastic
differential equations
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Examples of projects
Modelling coastal sea pollution transport
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Why modelling Environmental Transport?
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Examples of projects
Modelling coastal sea pollution transport Modelling transport of sand
(morphodynamics)
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Small sand dunes on the beach
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Large sand dunes along the North Sea coast
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Examples of projects
Modelling coastal sea pollution transport Modelling transport of sand
(morphodynamics) Modelling atherosclerosis
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Atherosclerosis
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Examples of projects
Modelling coastal sea pollution transport Modelling transport of sand
(morphodynamics) Modelling atherosclerosis Estimation permeability field in oil
reservoir models
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Examples of projects
Modelling coastal sea pollution transport Modelling transport of sand
(morphodynamics) Modelling atherosclerosis Estimation permeability field in oil
reservoir models Real-time forecasting of waterlevels and
tidal flows
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Why forecasting water levels?
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Grid of storm surge forecasting model
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Example of a flow pattern
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Example of a water level forecast
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Grid ofCoastalmodel
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Data locations
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HF radar data
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Measurementsof the vertical velocity profile
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Examples of projects
Modelling coastal sea pollution transport Modelling transport of sand
(morphodynamics) Modelling atherosclerosis Estimation permeability field in oil
reservoir models Real-time forecasting of waterlevels and
tidal flows Estimation of emissions in air pollution
models