With global climate change causing more frequent extreme weather, mountain flash floods present challenges to architecture. Designing buildings in mountainous regions becomes complex, requiring consideration of rainwater runoff and downstream impacts. This study evaluates rainstorm risks for specific building locations, aiming to expedite optimization solutions. It explores using parametric architectural design and neural networks to assess risks in mountainous building designs and seeks optimal solutions.

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Exploring the Method of Evaluating Flooding Risk of Building Groups in Mountainous Area with GAN and GA

  • Jiawei Yao

摘要

With global climate change causing more frequent extreme weather, mountain flash floods present challenges to architecture. Designing buildings in mountainous regions becomes complex, requiring consideration of rainwater runoff and downstream impacts. This study evaluates rainstorm risks for specific building locations, aiming to expedite optimization solutions. It explores using parametric architectural design and neural networks to assess risks in mountainous building designs and seeks optimal solutions.