
Coastal Erosion
Coastal erosion is the gradual landward retreat of the shoreline caused by natural coastal processes, primarily the long-term action of waves and storm events.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
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Clarity before a decision is made
Coastal Erosion
Clarity before a decision is made
Coastal erosion is the gradual landward retreat of the shoreline caused by natural coastal processes, primarily the long-term action of waves and storm events.
The impacts of coastal erosion extend beyond environmental degradation. From a strategic perspective, erosion can reduce coastal land area, threaten public infrastructure, and alter administrative or territorial boundaries.

Decision Supported
Define the approach, priorities, and actions for coastal erosion using traceable evidence.

Risk Controlled
Environmental impact, design failure, operational disruption, uncontrolled cost, and weak assumptions.

Success Criteria
Comparable options, quantified risk, and implementable recommendations.
What is assessed and why it matters

Shoreline position and change rate
This aspect is assessed to clarify its implications for coastal erosion.

Waves, currents, tides, and sediment
This aspect is assessed to clarify its implications for coastal erosion.

Sea-level rise and land subsidence
This aspect is assessed to clarify its implications for coastal erosion.

Coastal structures and human activity
This aspect is assessed to clarify its implications for coastal erosion.

Erosion–accretion scenarios
This aspect is assessed to clarify its implications for coastal erosion.

Protection and adaptation alternatives
This aspect is assessed to clarify its implications for coastal erosion.
A traceable evidence base

Observations
Field surveys, in-situ measurements, laboratory results, historical records, and operating information as required.

Remote sensing & GIS
Satellite imagery, mapping, spatial analysis, temporal change, and integration of multiple data sources.

Modeling & scenarios
Model setup, calibration, validation, existing–planned–extreme scenarios, and sensitivity analysis.

Quality assurance
Metadata, quality controls, assumptions, limitations, data versions, and processing lineage are documented.
Decision-ready information

Initial assessment & data gaps
Objectives, study area, available data, additional needs, initial risks, and recommended level of detail.

Datasets, maps & indicators
Quality-controlled data, thematic maps, time series, indicators, and comparable visualizations.

Scenarios & risk evaluation
Comparison of existing conditions, alternatives, extremes, sensitivities, consequences, and mitigation options.

Report & executive brief
Methods, results, limitations, recommendations, action priorities, and stakeholder presentation materials.
Benefits for decision makers and policy leaders

Reduce uncertainty
Assumptions, data, variability, and limitations are stated so decision risk is not hidden.

Compare options objectively
Alternative locations, designs, operations, or policies are assessed using consistent indicators.

Optimize cost and time
Data needs and analysis depth are proportionate to risk so resources are used efficiently.

Increase stakeholder confidence
Findings and recommendations are transparent for technical, management, regulatory, and partner review.
A clear process from need to recommendation
- 01

Need definition
Objectives, users, location, project phase, problems, constraints, and the decision to support.
- 02

Scope & work plan
Methods, data, surveys, models, schedule, team, deliverables, review gates, and resource estimate.
- 03

Acquisition & quality control
Collection, inspection, harmonization, documentation, and data-sufficiency assessment.
- 04

Analysis & scenario testing
Processing, modeling, validation, option comparison, sensitivity, and risk evaluation.
- 05

Recommendation & handover
Maps, report, executive brief, presentation, supporting data, and follow-up plan.
Full technical basis and contextOpen this section to read the complete source technical narrative.
Coastal erosion is the gradual landward retreat of the shoreline caused by natural coastal processes, primarily the long-term action of waves and storm events. Continuous wave attack removes beach sediments over time, resulting in shoreline recession. In addition to natural processes, coastal erosion can also be accelerated by human activities, particularly sand mining, coastal reclamation, and other developments that disturb the natural sediment balance. These activities may cause rapid shoreline retreat and significantly increase the vulnerability of coastal areas.
The impacts of coastal erosion extend beyond environmental degradation. From a strategic perspective, erosion can reduce coastal land area, threaten public infrastructure, and alter administrative or territorial boundaries. Environmentally, it can result in the loss of valuable coastal habitats, degradation of ecosystems, increased sediment redistribution, and declining coastal resilience.
Numerical coastal modeling provides a reliable scientific approach for predicting shoreline evolution caused by natural erosion processes. Long-term simulations can evaluate the cumulative effects of waves, storms, and coastal hydrodynamics over periods of years or even decades. As wave energy continuously erodes coastal sediments, the removed material is transported and deposited elsewhere within the coastal system. Numerical models simulate this dynamic balance between erosion, sediment transport, and deposition, enabling accurate prediction of future shoreline changes under various environmental scenarios.
Hydrodynamic models are used to simulate coastal circulation and water level variations. Wave conditions and wave energy are evaluated using advanced wave models, including Spectral Wave Models, Shallow Water Spectral Wave Models, Parabolic Mild Slope Models, Elliptic Mild Slope Models, Wave Refraction–Diffraction Models, and Boussinesq Wave Models. Sediment transport is simulated using Bed-Load Sediment Transport, Suspended Sediment Transport, and Particle Tracking Models. Long-term shoreline evolution is then predicted using Coastal Morphology Models together with Littoral Processes and Shoreline Dynamics Models. Finally, simulation outputs are integrated with supporting spatial datasets using a Marine Geographic Information System (Marine GIS) to produce comprehensive maps and decision-support products for coastal management.
Share the need, location, available data, and the decision to be supported.
The CORZ team will review the objective, scope, data availability, risk level, schedule, and required outputs to prepare a proportionate approach.
- Location and project phase
- Decision or objective to support
- Primary problems and risks
- Available data
- Expected outputs and schedule