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…
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…
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…
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…
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…