Ensemble Neural Networks for the Development of Storm Surge Flood Modeling: A Comprehensive Review
This review paper focuses on the use of ensemble neural networks (ENN) in the development of storm surge flood models. Storm surges are a major concern in coastal regions, and accurate flood modeling is essential for effective disaster management. Neural network (NN) ensembles have shown great poten...
Main Authors: | Saeid Khaksari Nezhad, Mohammad Barooni, Deniz Velioglu Sogut, Robert J. Weaver |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/11/11/2154 |
Similar Items
-
The Influence of Future Changes in Tidal Range, Storm Surge, and Mean Sea Level on the Emergence of Chronic Flooding
by: Ben S. Hague, et al.
Published: (2024-02-01) -
The SAVEMEDCOASTS-2 webGIS: The Online Platform for Relative Sea Level Rise and Storm Surge Scenarios up to 2100 for the Mediterranean Coasts
by: Antonio Falciano, et al.
Published: (2023-10-01) -
Does mean sea level trend mask historical storm surge trend: evidence from tropical cyclones affecting Japan since 1980
by: Md. Rezuanul Islam, et al.
Published: (2023-01-01) -
Storm Surge Barrier Protection in an Era of Accelerating Sea-Level Rise: Quantifying Closure Frequency, Duration and Trapped River Flooding
by: Ziyu Chen, et al.
Published: (2020-09-01) -
A geospatial dataset for U.S. hurricane storm surge and sea-level rise vulnerability: Development and case study applications
by: Megan C. Maloney, et al.
Published: (2014-01-01)