Accelerated flood modeling
AssigneeInternational Business Machines Corporation
InventorsMichiaki Tatsubori, TATSUYA ISHIKAWA, BLAIR NICHOLAS VICTOR EDWARDS, Nikola Elvis Stoyanov, Ophelie Meuriot
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AssigneeInternational Business Machines Corporation
InventorsMichiaki Tatsubori, TATSUYA ISHIKAWA, BLAIR NICHOLAS VICTOR EDWARDS, Nikola Elvis Stoyanov, Ophelie Meuriot
Estimating the term…
An approach is provided for accelerated flood modeling. Using a down-sampling neural network, a low-resolution elevation map is generated from a high-resolution elevation map. Using a partial differential equation (PDE) model, a low-resolution water depth map is generated from the low-resolution elevation map and one or more boundary conditions. Using an up-sampling neural network, a high-resolution water depth map is generated from the low-resolution water depth map. The down-sampling and up-sampling neural networks are trained by minimizing a loss between the generated high-resolution water depth map and ground truth data generated by the PDE model using the high-resolution elevation map as direct input and without using the low-resolution elevation map.
A computer system comprising:
A computer program product comprising:
A computer-implemented method comprising:
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