SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

PREDICTING COASTAL PROFILE EVOLUTION

Denis Baramiya

First published: 2019-12-05https://doi.org/10.5593/sgem2019v/1.4/s02.035View metrics

Abstract

A long-term prediction of coastal profile evolution is done basing on several years' measurements. The adopted diffusion model is first calibrated against real data obtained from over more than 20 years measurements, and then extrapolated. A realistic prediction is then made by solving numerically a diffusion equation with coefficients obtained by the extrapolated values. In previous studies, taking into account the time dependence of the coefficients, we were able to reduce to 10 years the number of time measurements needed for calibration. Here we consider the possibility of predicting coastal profiles using only 5 years measurements. Numerical experiments made by using the JARKUS dataset have shown that our model is indeed able to predict the depth profile evolution occurring 3 years from now with a relative error less than about 10%.

Publication Impact Profile

Publication details

Title
PREDICTING COASTAL PROFILE EVOLUTION
Authors
Denis Baramiya
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings19th, Science and Technologies in Geology, Exploration And Mining
Publisher
STEF92 Technology
Year
2019
Pages
285-292
SWS Citekey
Baramiya20192285292
ISSN
1314-2704
ISBN
978-619-7408-97-3
Language
en
Publication type
Conference Paper
Keywords
References5
  1. De Vriend H. I., Capobianco M., Chesher T., de Swart TH. E., Latteux B., and Stive M. J. F., “Approaches to long-term modelling of coastal morphology: a Review”, Coastal Engineering, Elsevier Science Publ. B.V., Amsterdam, 1993, vol. 21, pp. 225–269.

  2. Larson M., Hanson H., and Kraus N.C., “Analytical solutions of the one-line model of shoreline change”, Report to U.S. Army Corps of Engineers, Coastal Engineering Research Center, 6, 1987.

  3. Beavers R., Howd P., Birkemeier W., and Hathaway K., “Evaluating profile data and depth of closure with sonar altimetry”, Proc. Hauppauge Coastal Sediments, NY, 1, 1999, pp. 479–490.

  4. Baramiya, N. Gorbenko, M. Lavrentiev, R. Spigler “Diffusion model to predict the coastal profile evolution” // Proc. OCEANS'19 MTS/IEEE Marseille, France, June 17-21, 2019.

  5. A. J. Smola, B. Schölkopf “A tutorial on support vector regression”, Statistics and computing, 2004, vol. 14, no 3, pp. 199–222.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list

Connected events

SGEM WORLD SCIENCE Conferences

The EPS Library connects published research with the scientific events where it was presented, reviewed and prepared for long-term scholarly discovery.

International Scientific GeoConference SGEM
SGEM GeoConference

International Scientific GeoConference SGEM

Explore the main SGEM WORLD SCIENCE forum for Earth and Planetary Sciences, where research becomes conference presentation, proceedings publication and long-term library visibility.

Visit sgem.org
SGEM Vienna Green
SGEM Vienna Green

Green Sciences and Sustainability

Explore SGEM Vienna Green — connecting sustainability, environmental science, climate research, green technologies and interdisciplinary solutions for the future.

Visit sgemviennagreen.org

International Indexing & Global Visibility of Our Scientific Publications

Scopus

Scopus Scientific Database

Compendex

Engineering abstracts
& indexing

Clarivate

Scientific Databases

EBSCO

EBSCO
Science Services Database

OpenAIRE

Linked research discovery
& metadata

ProQuest

Scientific Databases
Part of Clarivate

Crossref

We are a voting CrossRef member - the official DOI provider

ScienceOpen

Research discovery
& metadata

HAL

Multidisciplinary archive
& metadata

Petroleum Abstracts

Scientific Database
Part of Clarivate

Google Scholar

Google Scholar
Scholarly Search

RSCI

Russian Science Citation Index
Part of Web of Science

OpenAlex

Open research index
& metadata

Mendeley

Scientific Databases
Part of Elsevier

GeoRef

GeoRef — AGI
Geoscience Bibliographic Database