CONTEXTField conditions and systems being assessed
Modeling Modules
Advection–Dispersion Module
The Advection–Dispersion Module simulates the transport, dispersion, and decay of dissolved or suspended substances and materials within aquatic environments.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
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ANALYSISIntegrated data, methods, and modelling
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
Advection–Dispersion Module
Clarity before a decision is made
The Advection–Dispersion Module simulates the transport, dispersion, and decay of dissolved or suspended substances and materials within aquatic environments.
Water movement within the Advection–Dispersion Module is provided by the Hydrodynamic Module, with both modules operating as a fully coupled modeling system. This integrated framework can be implemented using either 2D (two-dimensional) or 3D (three-dimensional) simulations on structured rectangular grids or unstructured flexible meshes (finite-element grids).
Decision Supported
Define when and how to use advection–dispersion module, including required data, configuration, validation, and scenarios.
Risk Controlled
Non-representative models, insufficient data, weak validation, and over-interpretation.
Success Criteria
Transparent, validated models that respond to scenarios at the decision scale.
Analysis Scope
What is assessed and why it matters
Represented physical or biogeochemical processes
This aspect is assessed to clarify its implications for advection–dispersion module.
Domain, grid, resolution, and time scale
This aspect is assessed to clarify its implications for advection–dispersion module.
Forcing, boundaries, and initial conditions
This aspect is assessed to clarify its implications for advection–dispersion module.
Parameterization, calibration, and validation
This aspect is assessed to clarify its implications for advection–dispersion module.
Scenarios, sensitivity, and uncertainty
This aspect is assessed to clarify its implications for advection–dispersion module.
Limitations and fitness for use
This aspect is assessed to clarify its implications for advection–dispersion module.
Data & Methods
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.
Core Deliverables
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.
Decision Value
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.
Delivery Path
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.
The Advection–Dispersion Module simulates the transport, dispersion, and decay of dissolved or suspended substances and materials within aquatic environments. These substances (hereafter referred to as components) may include chemical, physical, or biological marine pollutants.
The advection-dispersion module simulates the processes of transport, dispersion, and decay of dissolved or suspended substances or materials. These substances or materials (also referred to as components) can be marine pollutants of a chemical, physical, or biological nature. The movement of water mass in the advection-dispersion module is derived from the hydrodynamics module through a coupled model that integrates both modules. This coupled model can be applied in 2D (two-dimensional) and 3D (three-dimensional) formats, as well as using either a rectangular grid or a flexible mesh (finite mesh). The types of components whose dispersion is modeled using either 2D or 3D grids include Conservative, Decaying, Heat Dissipating, and Heat Exchange, while mesh types are incorporated into the transport component module for both 2D and 3D models.
The data required to simulate the advection-dispersion model consists of basic hydrodynamic data, including bathymetry, initial sea level, eddy viscosity (flux- or velocity-based), and bottom roughness (Manning Number or Chezy Number), with hydrodynamic forces such as tides, wind, discharge, and wave refraction (stationary or quasi-stationary).
The data required for the advection-dispersion module include the types and concentrations of components from their sources (point sources) whose dispersion will be modeled, initial concentrations throughout the water body to be modeled, deposited concentrations—both at the water surface from atmospheric input sources and from the water bottom—component concentration decay factors, heat dissipation coefficients for heat dispersion simulations, and dispersion coefficients with two options: current-independent or current-dependent. The model outputs the concentration distribution of each component from its sources into the water body to be modeled.
Related Options
Explore related topics and services
Hydrodynamic Module
The Hydrodynamic Module simulates variations in water levels and current circulation generated by multiple driving forces, including tides, wind, river discharge, and wave-induced radiation stress…
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Learn more →Water Column Sediment Transport Module
The Water Column Sediment Transport Module simulates the transport, dispersion, settling, erosion, and deposition of suspended sediments throughout the water column.
Learn more →Coastal Morphology Module
The Coastal Morphology Module is an integrated numerical modeling system that combines wave, hydrodynamic, and sediment transport modules to simulate the time-dependent evolution of coastal morphology.
Learn more →Particle Tracking Module
The Particle Tracking Module is one of the most efficient tools for studying the distribution of dissolved and suspended particles in aquatic environments.
Learn more →Oil Spill Analysis Module
The Oil Spill Analysis Module simulates the physical and chemical processes governing the transport, weathering, and fate of spilled oil in marine environments.
Learn more →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