Elliptic Mild Slope Wave Model illustration by CORZ
Modeling Modules

Elliptic Mild Slope Wave Model

The Elliptic Mild Slope Wave Model Module uses an efficient numerical solution of the mild-slope equation.

  • Evidence-led
  • Traceable assumptions
  • Decision-ready outputs
  • Methods proportionate to risk
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Elliptic Mild Slope Wave Model visual
CONTEXTField conditions and systems being assessed
Modeling Modules visual
ANALYSISIntegrated data, methods, and modelling
Hydrodynamic Module visual
DECISIONVisual outputs and actionable recommendations
Executive Brief

Clarity before a decision is made

01Evidence-led
02Traceable assumptions
03Decision-ready outputs
04Methods proportionate to risk
Executive Brief

Elliptic Mild Slope Wave Model

Clarity before a decision is made

The Elliptic Mild Slope Wave Model Module uses an efficient numerical solution of the mild-slope equation.

Partial wave refraction and transmission through piers, harbor structures, and breakwaters can also be represented. A sponge layer, or wave-absorbing layer, may be applied when a numerical solution requires wave energy absorption near the model boundaries.

Elliptic Mild Slope Wave Model visual
01

Decision Supported

Define when and how to use elliptic mild slope wave model, including required data, configuration, validation, and scenarios.

Modeling Modules visual
02

Risk Controlled

Non-representative models, insufficient data, weak validation, and over-interpretation.

Hydrodynamic Module visual
03

Success Criteria

Transparent, validated models that respond to scenarios at the decision scale.

Analysis Scope

What is assessed and why it matters

Advection–Dispersion Module visual
01

Represented physical or biogeochemical processes

This aspect is assessed to clarify its implications for elliptic mild slope wave model.

Bottom Sediment Transport Module visual
02

Domain, grid, resolution, and time scale

This aspect is assessed to clarify its implications for elliptic mild slope wave model.

Water Column Sediment Transport Module visual
03

Forcing, boundaries, and initial conditions

This aspect is assessed to clarify its implications for elliptic mild slope wave model.

Coastal Morphology Module visual
04

Parameterization, calibration, and validation

This aspect is assessed to clarify its implications for elliptic mild slope wave model.

Particle Tracking Module visual
05

Scenarios, sensitivity, and uncertainty

This aspect is assessed to clarify its implications for elliptic mild slope wave model.

Oil Spill Analysis Module visual
06

Limitations and fitness for use

This aspect is assessed to clarify its implications for elliptic mild slope wave model.

Data & Methods

A traceable evidence base

Ecosystem Model visual
01

Observations

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

Survey visual
02

Remote sensing & GIS

Satellite imagery, mapping, spatial analysis, temporal change, and integration of multiple data sources.

Data Processing visual
03

Modeling & scenarios

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

Elliptic Mild Slope Wave Model visual
04

Quality assurance

Metadata, quality controls, assumptions, limitations, data versions, and processing lineage are documented.

Core Deliverables

Decision-ready information

Modeling Modules visual
01

Initial assessment & data gaps

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

Hydrodynamic Module visual
02

Datasets, maps & indicators

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

Advection–Dispersion Module visual
03

Scenarios & risk evaluation

Comparison of existing conditions, alternatives, extremes, sensitivities, consequences, and mitigation options.

Bottom Sediment Transport Module visual
04

Report & executive brief

Methods, results, limitations, recommendations, action priorities, and stakeholder presentation materials.

Decision Value

Benefits for decision makers and policy leaders

Water Column Sediment Transport Module visual
01

Reduce uncertainty

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

Coastal Morphology Module visual
02

Compare options objectively

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

Particle Tracking Module visual
03

Optimize cost and time

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

Oil Spill Analysis Module visual
04

Increase stakeholder confidence

Findings and recommendations are transparent for technical, management, regulatory, and partner review.

Delivery Path

A clear process from need to recommendation

  1. Elliptic Mild Slope Wave Model visual
    01

    Need definition

    Objectives, users, location, project phase, problems, constraints, and the decision to support.

  2. Modeling Modules visual
    02

    Scope & work plan

    Methods, data, surveys, models, schedule, team, deliverables, review gates, and resource estimate.

  3. Survey visual
    03

    Acquisition & quality control

    Collection, inspection, harmonization, documentation, and data-sufficiency assessment.

  4. Data Processing visual
    04

    Analysis & scenario testing

    Processing, modeling, validation, option comparison, sensitivity, and risk evaluation.

  5. Modeling Modules visual
    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.

The Elliptic Mild Slope Wave Model Module uses an efficient numerical solution of the mild-slope equation. This equation is developed from the harmonic motion of infinitesimal-height waves over a seabed with a gradually varying slope. The module incorporates linear wave refraction–diffraction equations, including the effects of wave breaking, bottom friction, and wave damping.

Partial wave refraction and transmission through piers, harbor structures, and breakwaters can also be represented. A sponge layer, or wave-absorbing layer, may be applied when a numerical solution requires wave energy absorption near the model boundaries. The module also includes numerical formulations for wave radiation stresses, which are important for analyzing wave propagation across intersecting wave fields and in areas where strong wave diffraction occurs.

The Elliptic Mild Slope Wave Model Module uses a unique numerical solution method. Harmonic time variation is extracted, and the elliptic equation is formulated as mass and momentum equations. These equations are solved using a finite difference scheme with an Alternating Direction Implicit (ADI) algorithm. Wave-period calculations are derived from wave height, particle velocity components, sea level, and especially wave breaking, which is determined from wave radiation stresses within the modeled area.

This wave model is used to study wave resonance in harbors, long-period waves, and wave forces in relatively small coastal areas where wave diffraction and wave breaking are important. The dominant wave forcing is typically monochromatic and unidirectional. The module can be applied to all seabed depth profiles, although it has limitations in representing nonlinear effects, including wave-amplitude dispersion and wave-wave interactions. This model is particularly suitable for analyzing short-period wave disturbances inside harbors.

Next Step

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.

Useful initial information
  • Location and project phase
  • Decision or objective to support
  • Primary problems and risks
  • Available data
  • Expected outputs and schedule
Value for Decision Makers

Planning a coastal or ocean project?

Share the location, objectives, key challenges, available data, and expected outputs. The CORZ team will help define a proportionate technical approach.

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