Next Article in Journal
Determining the Horizontal and Vertical Water Velocity Components of a Turbulent Water Column Using the Motion Response of an Autonomous Underwater Vehicle
Next Article in Special Issue
Spatial and Temporal Clustering Analysis of Extreme Wave Events around the UK Coastline
Previous Article in Journal
Correction: Hajieghrary, H.; Mox, D.; Hsieh, M.A. Information Theoretic Source Seeking Strategies for Multiagent Plume Tracking in Turbulent Fields. Journal of Marine Science and Engineering 2017, 5, 3
Previous Article in Special Issue
The Impact of Uncertainties in Ice Sheet Dynamics on Sea-Level Allowances at Tide Gauge Locations
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
J. Mar. Sci. Eng. 2017, 5(2), 24;

Predicting Dynamic Coastal Delta Change in Response to Sea-Level Rise

Geography and Geology, School of Environmental Sciences, University of Hull, Hull 7RX, UK
Royal Netherlands Institute for Sea Research (NIOZ), Department of Estuarine and Delta Systems (EDS), Utrecht University, Yerseke 4400 AC, The Netherlands
Author to whom correspondence should be addressed.
Received: 9 May 2017 / Revised: 9 June 2017 / Accepted: 16 June 2017 / Published: 20 June 2017
(This article belongs to the Special Issue Coastal Sea Levels, Impacts and Adaptation)
Full-Text   |   PDF [1635 KB, uploaded 20 June 2017]   |  


The world’s largest deltas are densely populated, of significant economic importance and among the most valuable coastal ecosystems. Projected twenty-first century sea-level rise (SLR) poses a threat to these low-lying coastal environments with inhabitants, resources and ecology becoming increasingly vulnerable to flooding. Large spatial differences exist in the parameters shaping the world’s deltas with respect to river discharge, tides and waves, substrate and sediment cohesion, sea-level rise, and human engineering. Here, we use a numerical flow and transport model to: (1) quantify the capability of different types of deltas to dynamically respond to SLR; and (2) evaluate the resultant coastal impact by assessing delta flooding, shoreline recession and coastal habitat changes. We show three different delta forcing experiments representative of many natural deltas: (1) river flow only; (2) river flow and waves; and (3) river flow and tides. We find that delta submergence, shoreline recession and changes in habitat are not dependent on the applied combination of river flow, waves and tides but are rather controlled by SLR. This implies that regional differences in SLR determine delta coastal impacts globally, potentially mitigated by sediment composition and ecosystem buffering. This process-based approach of modelling future deltaic change provides the first set of quantitative predictions of dynamic morphologic change for inclusion in Climate and Earth System Models while also informing local management of deltaic areas across the globe. View Full-Text
Keywords: sea level; delta; numerical modelling; tides; waves; coastal erosion; coastal flooding; coastal habitat; coastal management sea level; delta; numerical modelling; tides; waves; coastal erosion; coastal flooding; coastal habitat; coastal management

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

Printed Edition Available!
A printed edition of this Special Issue is available here.

Share & Cite This Article

MDPI and ACS Style

Van De Lageweg, W.I.; Slangen, A.B.A. Predicting Dynamic Coastal Delta Change in Response to Sea-Level Rise. J. Mar. Sci. Eng. 2017, 5, 24.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
J. Mar. Sci. Eng. EISSN 2077-1312 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top