5 papers
Deep Learning Imputation of Missing Radius of Maximum Winds (Rmax) Values in Tropical Cyclone Best-Track Data
Swastik Agrawal, Nishkal Hundia, Ziyue Liu +1
Probabilistic coastal hazard assessments require accurate characterization of tropical cyclone (TC) parameters, yet datasets often contain missing records for the radius of maximum…
An Efficient Regional Storm Surge Surrogate Model Training Strategy Under Evolving Landscape and Climate Scenarios
Ziyue Liu, Mohammad Ahmadi Gharehtoragh, Brenna Kari Losch +1
Coastal communities face significant risk from storm-induced coastal flooding, which causes substantial societal and economic losses worldwide. Machine learning techniques have inc…
Assessing the Risks of Typhoon-Induced Multi-Hazards in South Korea
Ziyue Liu, Michelle T. Bensi
Tropical cyclone-induced coastal hazards can significantly damage coastal infrastructure, and these risks may intensify under future climate change. As a result, there is increasin…
A Multi-Tiered Bayesian Network Coastal Compound Flood Analysis Framework
Ziyue Liu, Meredith L. Carr, Norberto C. Nadal-Caraballo +3
Coastal compound floods (CCFs) are triggered by the interaction of multiple mechanisms, such as storm surges, storm rainfall, tides, and river flow. These events can bring signific…
A Bayesian Network Method for Deaggregation: Identification of Tropical Cyclones Driving Coastal Hazards
Ziyue Liu, Meredith L. Carr, Norberto C. Nadal-Caraballo +2
Bayesian networks (BN) have advantages in visualizing causal relationships and performing probabilistic inference analysis, making them ideal tools for coastal hazard analysis and…