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Coastal Geomorphology Response to Environmental and Climate Change

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Oceans and Coastal Zones".

Deadline for manuscript submissions: closed (15 April 2025) | Viewed by 705

Special Issue Editors


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Guest Editor
1. ISQ Group—Interface and Technology Center, Rua do Mirante, nº 258, 4415-491 Grijó, Portugal
2. RISCO, Civil Engineering Department, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
3. proMetheus, Instituto Politécnico de Viana do Castelo, 4900-348 Viana do Castelo, Portugal
Interests: coastal management; coastal morpho and hydrodynamics; integrated coastal spatial planning; satellite oceanography; coastal overtopping and flooding; GIS and remote sensing, machine learning, and artificial intelligence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. RISCO, Civil Engineering Department, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
2. Porto University Center (CUP), Lusofona University, 4000-098 Porto, Portugal
Interests: coastal management; coastal phenomena; forecasting capacity; coastal structures design; shoreline evolution in medium- to long-term perspective; cost–benefit analysis of coastal erosion mitigation solutions; integrated coastal zone planning and management and the development of coastal numerical tools

Special Issue Information

Dear Colleagues,

Coastal environments worldwide are highly dynamic areas characterised by rich biodiversity and rapid morphological changes. However, they are also subject to significant anthropogenic pressure and environmental changes. The response of coastal geomorphology is closely linked to sediment dynamics, and is influenced by coastal interventions, infrastructure developments, and environmental changes such as variations in waves, currents, and storms. Understanding these responses is essential to prevent coastal degradation, to maintain coastal planning and management, and to enhance their resilience to anthropogenic pressures and climate change.

It is crucial to disseminate the latest scientific knowledge on sediment planning, management, and dynamics in coastal environments in response to both natural and climate-induced changes, as well as the impact of built infrastructure. This Special Issue invites significant research contributions on in situ and remote sensing sediment monitoring (both natural and artificial), natural coastal deposition and artificial nourishment, coastal erosion and morphodynamics, coastal dredging, the effects of climate change, and decision support systems. Case studies that address specific challenges are particularly welcome, as are analytical, physical, and numerical modelling contributions, and novel approaches that involve machine learning and artificial intelligence.

Dr. Joaquim Pais-Barbosa
Dr. Márcia Lima
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • geomorphology
  • climate change
  • infrastructures
  • modelling
  • nature-based solutions
  • monitoring
  • machine learning and artificial intelligence

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Published Papers (1 paper)

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Research

26 pages, 12924 KiB  
Article
A Comparative Analysis of In-Situ Wave Measurements and Reanalysis Models for Predicting Coastline Evolution: A Case Study of IJmuiden, The Netherlands
by Joaquim Pais-Barbosa, Frederico Romão, Márcia Lima and Carlos Coelho
Water 2025, 17(7), 1091; https://doi.org/10.3390/w17071091 - 5 Apr 2025
Viewed by 358
Abstract
This study investigates the influence of wave-climate datasets derived from in situ measurements and reanalysis models on predictive modelling accuracy for coastline evolution, focusing on the IJmuiden coastal stretch in The Netherlands. By analyzing wave parameters, sediment dynamics, and nourishment interventions, the research [...] Read more.
This study investigates the influence of wave-climate datasets derived from in situ measurements and reanalysis models on predictive modelling accuracy for coastline evolution, focusing on the IJmuiden coastal stretch in The Netherlands. By analyzing wave parameters, sediment dynamics, and nourishment interventions, the research evaluates the performance of a numerical model in simulating shoreline changes over a 40-year period. Using the LTC (Long-Term Configuration) model, scenarios incorporating artificial sand nourishment volumes of 200,000 m3/year and 250,000 m3/year were tested against conditions without nourishment. The results highlighted the critical role of significant wave height, direction, and dataset variability in sediment accretion and erosion patterns. Datasets from in situ measurements (Measured-YM6) and reanalysis sources (ERA5, AENWS-WPR, and AENWS-WPR North) demonstrate variable performance, with ERA5 proving to be the most reliable under both nourished and non-nourished scenarios. The findings emphasize the importance of integrating high-resolution wave datasets into numerical models to improve predictions, optimize nourishment strategies, and enhance coastal resilience against erosion. The study underscores the necessity of nourishment interventions to mitigate sediment loss, stabilize shorelines, and support sustainable coastal-management practices in the face of climate change. Full article
(This article belongs to the Special Issue Coastal Geomorphology Response to Environmental and Climate Change)
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