Prediction of Seawater Intrusion Run-Up Distance Based on <i>K</i>-Means Clustering and ANN Model

Prediction of Seawater Intrusion Run-Up Distance Based on <i>K</i>-Means Clustering and ANN Model

Coastal regions are increasingly vulnerable to sea-level rise and extreme storm events, making the accurate prediction of wave run-up on seawalls crucial for effective flood and erosion protection. This study presents a novel hybrid approach combining <i>K</i>-means clustering with artif...

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Bibliographic Details
Main Authors: Jiatao Li, Zhenzhu Meng, Junkang Zhang, Yukai Chen, Jiewen Yao, Xinyue Li, Peng Qin, Xian Liu, Chunmei Cheng
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Journal of Marine Science and Engineering
Subjects:
seawater intrusion
run-up distance
K-means clustering
artificial neural network
seawall
Online Access:https://www.mdpi.com/2077-1312/13/2/377
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