Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 6
Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2157-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-2157-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 6
Research article
 | 
16 Jun 2023
Research article |  | 16 Jun 2023

A predictive equation for wave setup using genetic programming

Charline Dalinghaus, Giovanni Coco, and Pablo Higuera

Viewed

Total article views: 2,135 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,503 574 58 2,135 51 46
  • HTML: 1,503
  • PDF: 574
  • XML: 58
  • Total: 2,135
  • BibTeX: 51
  • EndNote: 46
Views and downloads (calculated since 05 Sep 2022)
Cumulative views and downloads (calculated since 05 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,135 (including HTML, PDF, and XML) Thereof 2,029 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Wave setup is a critical component of coastal flooding. Consequently, understanding and being able to predict wave setup is vital to protect coastal resources and the population living near the shore. Here, we applied machine learning to improve the accuracy of present predictors of wave setup. The results show that the new predictors outperform existing formulas demonstrating the capability of machine learning models to provide a physically sound description of wave setup.
Read more
Altmetrics
Final-revised paper
Preprint