
Bottom Sediment Transport Module
The Bottom Sediment Transport Module simulates the erosion, transport, deposition, and accumulation of bottom sediments.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
One-Page Visual Summary for Quick Briefing
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Clarity before a decision is made
Bottom Sediment Transport Module
Clarity before a decision is made
The Bottom Sediment Transport Module simulates the erosion, transport, deposition, and accumulation of bottom sediments.
The model allows up to eight sediment fractions for suspended sediments and eight sediment layers for the seabed. It supports both structured grids (rectangular grids) and unstructured flexible meshes (finite-element grids), and can be implemented in either 2D (two-dimensional) or 3D (three-dimensional) simulations.

Decision Supported
Define when and how to use bottom sediment transport 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.
What is assessed and why it matters

Represented physical or biogeochemical processes
This aspect is assessed to clarify its implications for bottom sediment transport module.

Domain, grid, resolution, and time scale
This aspect is assessed to clarify its implications for bottom sediment transport module.

Forcing, boundaries, and initial conditions
This aspect is assessed to clarify its implications for bottom sediment transport module.

Parameterization, calibration, and validation
This aspect is assessed to clarify its implications for bottom sediment transport module.

Scenarios, sensitivity, and uncertainty
This aspect is assessed to clarify its implications for bottom sediment transport module.

Limitations and fitness for use
This aspect is assessed to clarify its implications for bottom sediment transport module.
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.
The Bottom Sediment Transport Module simulates the erosion, transport, deposition, and accumulation of bottom sediments. The module supports two sediment types: cohesive sediments (e.g., silt and clay) and non-cohesive sediments (e.g., sand). It integrates the interaction between suspended sediments in the water column and bottom sediments on the seabed.
The model allows up to eight sediment fractions for suspended sediments and eight sediment layers for the seabed. It supports both structured grids (rectangular grids) and unstructured flexible meshes (finite-element grids), and can be implemented in either 2D (two-dimensional) or 3D (three-dimensional) simulations.
These outputs may be generated for each individual sediment fraction or layer, or as integrated totals across all fractions and layers.
The Bottom Sediment Transport Module is fully coupled with the Hydrodynamic Module, which provides bathymetry, initial water levels, eddy viscosity (flux-based or velocity-based), bed roughness (Manning's coefficient or Chezy coefficient), and hydrodynamic forcing from tides, wind, river discharge, and wave-induced radiation stress (stationary or quasi-stationary conditions).
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