Recent advances and new frontiers in riverine and coastal flood modeling

K Jafarzadegan, H Moradkhani… - Reviews of …, 2023 - Wiley Online Library
Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

Recent developments in sea-level rise and its related geological disasters mitigation: a review

L Dong, J Cao, X Liu - Journal of Marine Science and Engineering, 2022 - mdpi.com
With the rapid development of urbanization around the world, the sea-level-rise problem is
gaining more and more attention in the 21st century. Sea-level rise is the result of a …

Storm hazard analysis over extended geospatial grids utilizing surrogate models

AP Kyprioti, AA Taflanidis, NC Nadal-Caraballo… - Coastal …, 2021 - Elsevier
The use of surrogate modeling techniques for storm surge estimation is providing unique
opportunities for coastal hazard analysis and risk assessment. Specifically, surrogate …

Spatio-temporal storm surge emulation using Gaussian Process techniques

AP Kyprioti, C Irwin, AA Taflanidis… - Coastal …, 2023 - Elsevier
Surrogate models (also referenced as metamodels) are recognized as powerful, data-
driven, predictive tools for the approximation (emulation) of storm surge. For this application …

Improvements in storm surge surrogate modeling for synthetic storm parameterization, node condition classification and implementation to small size databases

AP Kyprioti, AA Taflanidis, M Plumlee, TG Asher… - Natural Hazards, 2021 - Springer
Surrogate models are becoming increasingly popular for storm surge predictions. Using
existing databases of storm simulations, developed typically during regional flood studies …

Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions

WH Jung, AA Taflanidis, AP Kyprioti, J Zhang - Reliability Engineering & …, 2024 - Elsevier
Real-time, probabilistic predictions of the expected storm surge represent an important
information source for guiding emergency response decisions during landfalling tropical …

Assessing the risk of extreme storm surges from tropical cyclones under climate change using bidirectional attention-based LSTM for improved prediction

VK Ian, SK Tang, G Pau - Atmosphere, 2023 - mdpi.com
Accurate prediction of storm surges is crucial for mitigating the impact of extreme weather
events. This paper introduces the Bidirectional Attention-based Long Short-Term Memory …

Probabilistic storm surge estimation for landfalling hurricanes: Advancements in computational efficiency using quasi-Monte Carlo techniques

AP Kyprioti, E Adeli, AA Taflanidis, JJ Westerink… - Journal of marine …, 2021 - mdpi.com
During landfalling tropical storms, predictions of the expected storm surge are critical for
guiding evacuation and emergency response/preparedness decisions, both at regional and …

An observation study of the combined river discharge and sea level impact on the duration of saltwater intrusion in Pearl River estuary–Modaomen waterway

H Hu, G Chen, R Lin, X Huang, Z Wei, G Chen - Natural Hazards, 2024 - Springer
The saltwater intrusion occurs in many coastal areas worldwide and has become a serious
menace to freshwater quality. In the Pearl River estuary, saltwater intrusion has threatened …

Integration of node classification in storm surge surrogate modeling

AP Kyprioti, AA Taflanidis, NC Nadal-Caraballo… - Journal of Marine …, 2022 - mdpi.com
Surrogate models, also referenced as metamodels, have emerged as attractive data-driven,
predictive models for storm surge estimation. They are calibrated based on an existing …