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An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions
Neural computing & applications (Print), 2022In this research paper, we study the capability of artificial neural network models to emulate storm surge based on the storm track/size/intensity history, leveraging a database of synthetic storm simulations. Traditionally, computational fluid dynamics (
Ehsan Adeli +3 more
semanticscholar +1 more source
The contribution of hurricane remote ocean forcing to storm surge along the Southeastern U.S. coast
Coastal Engineering, 2022The dynamics controlling the spatial and temporal expressions of storm surges over the coastal wetlands and communities of the South Atlantic Bight (SAB) is complex and not well understood. Leveraging a newly developed high-density hyper-local network of
Kyungmin Park +6 more
semanticscholar +1 more source
Implementation of an Artificial Neural Network for Storm Surge Forecasting
Journal of Geophysical Research: Atmospheres, 2021Accurate and timely storm surge forecasts are essential during tropical cyclone events in order to assess the magnitude and location of the impacts.
A. Ramos‐Valle +3 more
semanticscholar +1 more source
Journal of Environmental Management, 2021
Storm surge is a natural disaster, often causing economic damage and loss of human life in the coastal communities. In recent decades, with more people attracted to coastal areas, the potential economic losses resulted from storm surges are increasing ...
Si Wang +5 more
semanticscholar +1 more source
Storm surge is a natural disaster, often causing economic damage and loss of human life in the coastal communities. In recent decades, with more people attracted to coastal areas, the potential economic losses resulted from storm surges are increasing ...
Si Wang +5 more
semanticscholar +1 more source
Application of recurrent neural network for prediction of the time-varying storm surge
Coastal Engineering Journal, 2021This study investigates the overall performance of non-linear regression models based either on DNN or on RNN for the fast predictions of time-varying storm surge heights.
Yusuke Igarashi, Y. Tajima
semanticscholar +1 more source
Can economic development alleviate storm surge disaster losses in coastal areas of China?
Marine Policy, 2021Storm surge disasters are a major obstacle to the sustainable and healthy development of China's marine economy and society. By constructing a comprehensive index of storm surge disaster losses, this study uses the feasible generalized least squares ...
Xiaojing Yi +3 more
semanticscholar +1 more source
The Influence of Channel Deepening on Tides, River Discharge Effects, and Storm Surge
Journal of Geophysical Research: Oceans, 202116 17 We combine archival research, semi-analytical models, and numerical simulations to address the 18 following question: how do changes to channel geometry alter tidal properties and flood 19 dynamics in a hyposynchronous, strongly frictional estuary ...
S. Talke, R. Familkhalili, D. Jay
semanticscholar +1 more source
, 2020
The Sundarban Biosphere Reserve (SBR), which is one of the important coastal regions of India, is vulnerable to storm surge hazards. It experiences storm surge flood of varying magnitudes every year causing immense loss to life and property.
M. Sahana, S. Rehman, H. Sajjad, H. Hong
semanticscholar +1 more source
The Sundarban Biosphere Reserve (SBR), which is one of the important coastal regions of India, is vulnerable to storm surge hazards. It experiences storm surge flood of varying magnitudes every year causing immense loss to life and property.
M. Sahana, S. Rehman, H. Sajjad, H. Hong
semanticscholar +1 more source