Articles | Volume 18, issue 2
https://doi.org/10.5194/nhess-18-599-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-599-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2018
Research article |
| 28 Feb 2018
| 28 Feb 2018
The use of genetic programming to develop a predictor of swash excursion on sandy beaches
Marinella Passarella
CORRESPONDING AUTHOR
Department of Chemical and Geological Sciences, Coastal and Marine
Geomorphology Group (CMGG), Università degli Studi di Cagliari, 09124 Cagliari, Italy
Evan B. Goldstein
Department of Geological Sciences, University of North Carolina at Chapel Hill, 104 South Rd, Mitchell Hall, Chapel Hill, NC 27599, USA
Sandro De Muro
Department of Chemical and Geological Sciences, Coastal and Marine
Geomorphology Group (CMGG), Università degli Studi di Cagliari, 09124 Cagliari, Italy
Giovanni Coco
School of Environment, Faculty of Science, University of Auckland, Auckland, 1142, New Zealand
Viewed
Total article views: 4,042 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Oct 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,337 | 1,474 | 231 | 4,042 | 184 | 212 |
- HTML: 2,337
- PDF: 1,474
- XML: 231
- Total: 4,042
- BibTeX: 184
- EndNote: 212
Total article views: 3,219 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,798 | 1,206 | 215 | 3,219 | 175 | 200 |
- HTML: 1,798
- PDF: 1,206
- XML: 215
- Total: 3,219
- BibTeX: 175
- EndNote: 200
Total article views: 823 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Oct 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 539 | 268 | 16 | 823 | 9 | 12 |
- HTML: 539
- PDF: 268
- XML: 16
- Total: 823
- BibTeX: 9
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,042 (including HTML, PDF, and XML)
Thereof 3,880 with geography defined
and 162 with unknown origin.
Total article views: 3,219 (including HTML, PDF, and XML)
Thereof 3,095 with geography defined
and 124 with unknown origin.
Total article views: 823 (including HTML, PDF, and XML)
Thereof 785 with geography defined
and 38 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
37 citations as recorded by crossref.
- An Operational Wave System within the Monitoring Program of a Mediterranean Beach A. Ruju et al. https://doi.org/10.3390/jmse7020032
- Characteristics of bulk wave run-up on shoreface-nourished beach Y. Li et al. https://doi.org/10.1016/j.oceaneng.2025.122040
- The 3rd International Workshop on swash-zone processes A. Schueller et al. https://doi.org/10.1016/j.coastaleng.2025.104891
- On the runup parameterisation for reef-lined coasts G. Franklin & A. Torres-Freyermuth https://doi.org/10.1016/j.ocemod.2021.101929
- Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina K. Rubio-Sandoval et al. https://doi.org/10.1016/j.quascirev.2024.108999
- The role of frequency spread on swash dynamics J. Montaño et al. https://doi.org/10.1007/s00367-019-00591-1
- Wave Run-Up on Mortar-Grouted Riprap Revetments M. Kreyenschulte et al. https://doi.org/10.3390/w12123396
- An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping B. Mutlu et al. https://doi.org/10.3390/ijgi8120578
- On the prediction of runup, setup and swash on beaches P. Gomes da Silva et al. https://doi.org/10.1016/j.earscirev.2020.103148
- The Role of Beach Morphology and Mid-Century Climate Change Effects on Wave Runup and Storm Impact on the Northern Yucatan Coast G. Medellín et al. https://doi.org/10.3390/jmse9050518
- Hotspot dune erosion on an intermediate beach N. Cohn et al. https://doi.org/10.1016/j.coastaleng.2021.103998
- Ecosystem services of reed and seagrass debris on a urban Mediterranean beach (Poetto, Italy) A. Ruju et al. https://doi.org/10.1016/j.ecss.2022.107862
- Climate change and coastal morphodynamics: Interactions on regional scales P. Chowdhury et al. https://doi.org/10.1016/j.scitotenv.2023.166432
- Blind testing of shoreline evolution models J. Montaño et al. https://doi.org/10.1038/s41598-020-59018-y
- A predictive equation for wave setup using genetic programming C. Dalinghaus et al. https://doi.org/10.5194/nhess-23-2157-2023
- Filling Missing and Extending Significant Wave Height Measurements Using Neural Networks and an Integrated Surface Database D. Bujak et al. https://doi.org/10.3390/wind3020010
- Reconstructing past sea-level changes from storm-built beach ridges A. Rovere et al. https://doi.org/10.1016/j.geomorph.2025.109659
- Extreme wave transformation and runup on a beach fronted by a very steep forereef profile J. Rodríguez-Burguette et al. https://doi.org/10.1016/j.apor.2025.104648
- Relative Magnitude of Infragravity Waves at Coastal Dikes with Shallow Foreshores: A Prediction Tool C. Lashley et al. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000576
- Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations M. Itzkin et al. https://doi.org/10.1016/j.coastaleng.2024.104641
- A review of machine learning applications to coastal sediment transport and morphodynamics E. Goldstein et al. https://doi.org/10.1016/j.earscirev.2019.04.022
- Ensemble models from machine learning: an example of wave runup and coastal dune erosion T. Beuzen et al. https://doi.org/10.5194/nhess-19-2295-2019
- Alongshore runup variability across contrasting beach states: Insights from field observations A. Gracia-Barrera et al. https://doi.org/10.1016/j.geomorph.2025.109640
- Experimental investigation on wave roller area evolution in the surf zone Y. Wu et al. https://doi.org/10.1016/j.apor.2025.104460
- Analysis of the contributing factors to infragravity swash based on long-term observations Y. Matsuba & T. Shimozono https://doi.org/10.1016/j.coastaleng.2021.103957
- Implications of sea-level rise for overwash enhancement at South Portugal Ó. Ferreira et al. https://doi.org/10.1007/s11069-021-04917-0
- Review on Applications of Machine Learning in Coastal and Ocean Engineering T. Kim & W. Lee https://doi.org/10.26748/KSOE.2022.007
- Storm Waves at the Shoreline: When and Where Are Infragravity Waves Important? O. Billson et al. https://doi.org/10.3390/jmse7050139
- Predicting wave runup on composite beaches M. Conlin et al. https://doi.org/10.1016/j.coastaleng.2025.104743
- The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes G. Dodet et al. https://doi.org/10.1007/s10712-019-09557-5
- Parameterization of waves interacting with homogenous permeable breakwaters: Integrating physical and numerical models with machine learning B. Covarrubias-Contreras et al. https://doi.org/10.1016/j.oceaneng.2025.120563
- Extraction of urban built-up areas from nighttime lights using artificial neural network T. Xu et al. https://doi.org/10.1080/10106049.2018.1559887
- An initial analysis of swash flow velocity patterns W. Li et al. https://doi.org/10.1016/j.coastaleng.2025.104853
- The Field Geomorphologist in a Time of Artificial Intelligence and Machine Learning C. Houser et al. https://doi.org/10.1080/24694452.2021.1985956
- Field Observations of Alongshore Runup Variability Under Dissipative Conditions in the Presence of a Shoreline Sandwave N. Senechal et al. https://doi.org/10.1029/2018JC014109
- Modeling Ocean Swell and Overtopping Waves: Understanding Wave Shoaling with Varying Seafloor Topographies C. Wong & K. Chow https://doi.org/10.3390/jmse12081368
- Numerical Assessment of Infragravity Swash Response to Offshore Wave Frequency Spread Variability A. Ruju et al. https://doi.org/10.1029/2019JC015063
37 citations as recorded by crossref.
- An Operational Wave System within the Monitoring Program of a Mediterranean Beach A. Ruju et al. https://doi.org/10.3390/jmse7020032
- Characteristics of bulk wave run-up on shoreface-nourished beach Y. Li et al. https://doi.org/10.1016/j.oceaneng.2025.122040
- The 3rd International Workshop on swash-zone processes A. Schueller et al. https://doi.org/10.1016/j.coastaleng.2025.104891
- On the runup parameterisation for reef-lined coasts G. Franklin & A. Torres-Freyermuth https://doi.org/10.1016/j.ocemod.2021.101929
- Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina K. Rubio-Sandoval et al. https://doi.org/10.1016/j.quascirev.2024.108999
- The role of frequency spread on swash dynamics J. Montaño et al. https://doi.org/10.1007/s00367-019-00591-1
- Wave Run-Up on Mortar-Grouted Riprap Revetments M. Kreyenschulte et al. https://doi.org/10.3390/w12123396
- An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping B. Mutlu et al. https://doi.org/10.3390/ijgi8120578
- On the prediction of runup, setup and swash on beaches P. Gomes da Silva et al. https://doi.org/10.1016/j.earscirev.2020.103148
- The Role of Beach Morphology and Mid-Century Climate Change Effects on Wave Runup and Storm Impact on the Northern Yucatan Coast G. Medellín et al. https://doi.org/10.3390/jmse9050518
- Hotspot dune erosion on an intermediate beach N. Cohn et al. https://doi.org/10.1016/j.coastaleng.2021.103998
- Ecosystem services of reed and seagrass debris on a urban Mediterranean beach (Poetto, Italy) A. Ruju et al. https://doi.org/10.1016/j.ecss.2022.107862
- Climate change and coastal morphodynamics: Interactions on regional scales P. Chowdhury et al. https://doi.org/10.1016/j.scitotenv.2023.166432
- Blind testing of shoreline evolution models J. Montaño et al. https://doi.org/10.1038/s41598-020-59018-y
- A predictive equation for wave setup using genetic programming C. Dalinghaus et al. https://doi.org/10.5194/nhess-23-2157-2023
- Filling Missing and Extending Significant Wave Height Measurements Using Neural Networks and an Integrated Surface Database D. Bujak et al. https://doi.org/10.3390/wind3020010
- Reconstructing past sea-level changes from storm-built beach ridges A. Rovere et al. https://doi.org/10.1016/j.geomorph.2025.109659
- Extreme wave transformation and runup on a beach fronted by a very steep forereef profile J. Rodríguez-Burguette et al. https://doi.org/10.1016/j.apor.2025.104648
- Relative Magnitude of Infragravity Waves at Coastal Dikes with Shallow Foreshores: A Prediction Tool C. Lashley et al. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000576
- Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations M. Itzkin et al. https://doi.org/10.1016/j.coastaleng.2024.104641
- A review of machine learning applications to coastal sediment transport and morphodynamics E. Goldstein et al. https://doi.org/10.1016/j.earscirev.2019.04.022
- Ensemble models from machine learning: an example of wave runup and coastal dune erosion T. Beuzen et al. https://doi.org/10.5194/nhess-19-2295-2019
- Alongshore runup variability across contrasting beach states: Insights from field observations A. Gracia-Barrera et al. https://doi.org/10.1016/j.geomorph.2025.109640
- Experimental investigation on wave roller area evolution in the surf zone Y. Wu et al. https://doi.org/10.1016/j.apor.2025.104460
- Analysis of the contributing factors to infragravity swash based on long-term observations Y. Matsuba & T. Shimozono https://doi.org/10.1016/j.coastaleng.2021.103957
- Implications of sea-level rise for overwash enhancement at South Portugal Ó. Ferreira et al. https://doi.org/10.1007/s11069-021-04917-0
- Review on Applications of Machine Learning in Coastal and Ocean Engineering T. Kim & W. Lee https://doi.org/10.26748/KSOE.2022.007
- Storm Waves at the Shoreline: When and Where Are Infragravity Waves Important? O. Billson et al. https://doi.org/10.3390/jmse7050139
- Predicting wave runup on composite beaches M. Conlin et al. https://doi.org/10.1016/j.coastaleng.2025.104743
- The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes G. Dodet et al. https://doi.org/10.1007/s10712-019-09557-5
- Parameterization of waves interacting with homogenous permeable breakwaters: Integrating physical and numerical models with machine learning B. Covarrubias-Contreras et al. https://doi.org/10.1016/j.oceaneng.2025.120563
- Extraction of urban built-up areas from nighttime lights using artificial neural network T. Xu et al. https://doi.org/10.1080/10106049.2018.1559887
- An initial analysis of swash flow velocity patterns W. Li et al. https://doi.org/10.1016/j.coastaleng.2025.104853
- The Field Geomorphologist in a Time of Artificial Intelligence and Machine Learning C. Houser et al. https://doi.org/10.1080/24694452.2021.1985956
- Field Observations of Alongshore Runup Variability Under Dissipative Conditions in the Presence of a Shoreline Sandwave N. Senechal et al. https://doi.org/10.1029/2018JC014109
- Modeling Ocean Swell and Overtopping Waves: Understanding Wave Shoaling with Varying Seafloor Topographies C. Wong & K. Chow https://doi.org/10.3390/jmse12081368
- Numerical Assessment of Infragravity Swash Response to Offshore Wave Frequency Spread Variability A. Ruju et al. https://doi.org/10.1029/2019JC015063
Saved (final revised paper)
Latest update: 25 Jul 2026
Altmetrics
Final-revised paper
Preprint