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Tuning deep flooding risk with adaptive strategy: An application for NYC
Kairui Feng
, Siyuan Xian
,
Ning Lin
Civil & Environmental Engineering
High Meadows Environmental Institute
Research output
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peer-review
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Dive into the research topics of 'Tuning deep flooding risk with adaptive strategy: An application for NYC'. Together they form a unique fingerprint.
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Keyphrases
Flood Risk
100%
Adaptation Strategies
100%
Seawall
100%
Deep Flooding
100%
Reinforcement Learning
33%
Climate Change Impacts
33%
Climate Projections
33%
Sea Level Rise
33%
Long-term Climate
33%
Design Basis
16%
Coastal Zone
16%
Climate Change
16%
Proposed Design
16%
Rapid Development
16%
Learning Strategies
16%
Climate Model Projections
16%
Protected Areas
16%
New York City
16%
Lifetime Cost
16%
Storm Activity
16%
Climate Conditions
16%
Damage Potential
16%
Construction Cost
16%
Storm Surge Flooding
16%
Building Level
16%
Meta-learning Strategy
16%
Traditional Design Method
16%
Exposure Data
16%
Coastal Flood Risk Management
16%
Deep Uncertainty
16%
Engineering
Retaining Walls
100%
Adaptive Strategy
100%
Climate Change
33%
Design Method
16%
Damage Potential
16%
Construction Cost
16%
Coastal Flood Risk
16%
Reinforcement Learning
16%
Exposure Level
16%
Climate Change Effect
16%