FM2PROF

What is FM2PROF?

FM2PROF (FlowFM to Profile) is a Python package that extracts 1D cross-sectional data from 2D hydrodynamic model results. It bridges the gap between detailed 2D flood modelling and efficient 1D hydraulic analysis by automatically generating cross-section geometries and roughness parameters from 2D FlowFM simulation outputs.

How It Works

1. Input: 2D FlowFM map files (NetCDF) + cross-section location definitions
2. Processing: Spatial classification, geometry extraction, roughness calculation
3. Output: 1D model files compatible with 1D hydraulic software (currently supported: D-Flow 1D, SOBEK 3)

2D FlowFM Results    →    FM2PROF    →    1D Cross-Sections
(detailed mesh)           (extraction)    (efficient profiles)

Quick Start

Installation

pip install fm2prof

Basic Usage

Python API:

from fm2prof import Project

# Load configuration and run
project = Project('config.ini')
project.run()

# Or configure programmatically
project = Project()
project.set_input_file('2DMapOutput', 'model_map.nc')
project.set_input_file('CrossSectionLocationFile', 'crosssections.csv')
project.set_output_directory('./output')
project.run()

Command Line:

# Create new project
python fm2prof create MyProject

# Edit MyProject.ini with your file paths, then run
python fm2prof run MyProject --overwrite

Required Input Files

Optional:

• Region Polygons: Define floodplain vs main channel areas (GeoJSON)
• Section Polygons: Specify extraction boundaries (GeoJSON)

Example Output

FM2PROF generates:

• Cross-section geometries (bed levels, widths, areas)
• Roughness tables (Manning's n values per sub-section)
• Visualisation plots for quality checking

Documentation & Examples

• 📚 Full Documentation: deltares.github.io/Fm2Prof
• 🚀 Tutorial: Getting Started Guide
• 📓 Jupyter Notebooks: Interactive examples in /notebooks
• 🔧 Configuration Reference: Complete parameter documentation

Key Features

🌊 Using Geometric and Hydraulic Information

• Volume-preserving 1D geometry
• Roughness weighting methods (area-based, distance-based)
• Flow-dependent storage areas
• Transition height calculations for overbank flow

⚡ Performant

• Leverages MeshKernel for fast polygon operations
• Efficient NetCDF data handling
• K-Nearest Neighbour for rapid classification

🔧 Flexible Configuration

• INI-based configuration files
• Python API for programmatic control

📊 Multiple Output Formats

• D-Flow 1D compatible files
• SOBEK 3 format support
• Generic CSV/JSON outputs
• Visualisation and diagnostic plots

Use Cases

Typical Workflow

1. Run 2D FlowFM Model: Generate detailed flood simulation
2. Define Cross-Sections: Specify where 1D profiles are needed
3. Configure FM2PROF: Set extraction parameters and output options
4. Extract Profiles: Run FM2PROF to generate cross-sectional data
5. Build 1D Model: Import results into 1D hydraulic software
6. Validate: Compare 1D vs 2D results for key locations

Real-World Applications

• Dutch National Flood Forecasting River Models: all river models are using fm2prof generated profiles and roughnesses
• Maeslant barrier forecasting model: the hydraulic forecasting of the Maeslant Barrier uses fm2prof generated geometry and roughnesses

Requirements

• Python: 3.10 or higher
• Key Dependencies: NumPy, Pandas, NetCDF4, Shapely, MeshKernel
• Supported 2D software: D-FlowFM, D-Hydro
• Supported 1D Software: D-Flow 1D, SOBEK 3

Contributing

We welcome contributions! See our Contributing Guide for:

• 🐛 Bug reports and feature requests
• 💻 Code contributions and pull requests
• 📖 Documentation improvements
• 🧪 Test case submissions

Support & Community

• Issues: GitHub Issues
• Contact: FM2PROF development team at Deltares
• License: GPL-3.0-or-later AND LGPL-3.0-or-later

Citation

If you use FM2PROF in research, please cite:

FM2PROF Development Team (2024). FM2PROF: FlowFM to Profile Extraction Tool. 
Deltares. https://github.com/Deltares/Fm2Prof