On the runup parameterisation for reef-lined coasts
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{FRANKLIN:2022:OM,
-
author = "Gemma L. Franklin and Alec Torres-Freyermuth",
-
title = "On the runup parameterisation for reef-lined coasts",
-
journal = "Ocean Modelling",
-
volume = "169",
-
pages = "101929",
-
year = "2022",
-
ISSN = "1463-5003",
-
DOI = "doi:10.1016/j.ocemod.2021.101929",
-
URL = "https://www.sciencedirect.com/science/article/pii/S1463500321001797",
-
keywords = "genetic algorithms, genetic programming, Runup, Reef,
Parameterisation, Machine learning, SWASH model",
-
abstract = "The degradation of coastal ecosystems in recent years,
combined with more intense storms and greater sea
levels associated with climate change, are likely to
increase vulnerability to coastal flooding along
reef-lined coasts. Therefore, there is a need to
accurately predict extreme water levels to identify
areas with high vulnerability and implement mitigation
measures. Runup parameterisations allow a rapid
assessment of coastal vulnerability at a regional to
global scale, however these formulations are primarily
developed for beaches. Hydrodynamic forcing and reef
geometry are key parameters for the estimation of
coastal flooding in reef environments. The present
study aims to develop runup parameterisations for an
idealised 2DV reef-lined coast profile using a widely
validated nonlinear non-hydrostatic numerical model
(SWASH). The numerical model is employed to simulate
different combinations of wave conditions, water
levels, and reef geometries. A machine learning (ML)
approach, in the form of genetic programming, is used
to identify the most suitable predictors for wave runup
based on the numerical results. Analysis of runup
results suggests that runup parameterisations can be
improved for reef environments by incorporating the
crest elevation, lagoon width, reef flat depth, and
forereef slope. A dimensional and non-dimensional
parameterisation that include reef geometry are
presented. Further research efforts should be devoted
to incorporate the effects of bed roughness and
three-dimensional processes in this framework that were
not taken into account in the present work",
- }
Genetic Programming entries for
Gemma L Franklin
Alec Torres-Freyermuth
Citations