ripple1d 0.8.3

HEC-RAS model automation

ripple1d

Utilities for repurposing HEC-RAS models for use in the production of Flood Inundation Maps (FIMs) and rating curves for use in near-real time flood forecasting on the NOAA National Water Model network. Go to ReadTheDocs for more information on ripple1d.

Contents

• api : Source code for the Flask API and Huey queueing system for managing parallel compute.
• ripple1d: Source code for the ripple1d library.
• tests: Unit tests.up

Requirements

OS Dependency: Ripple requires Python version >=3.10 and a Windows environment with Desktop Experience (GUI, not a headless Windows server) and HEC-RAS installed (currently version 6.3.1 is supported).

Installing Ripple

NOTE: Using a python virtual environment is not required but is highly recommended.

Using pip

Activate virtual environment as shown below and install the ripple1d package using pip using PowerShell:

    pip install ripple1d

Verify the Installation

Verify the installation by importing ripple1d in a Python shell:

    python
    >>> import ripple1d
    >>> print(ripple1d.__version__)

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Credits and References

1. Office of Water Prediction (OWP)
2. Dewberry
3. Raytheon
4. Earth Resources Technology, Inc.
5. ras2fim
6. USACE HEC-RAS
7. NOAA National Water Model (NWM)

Special Thanks to: David Bascom (FEMA), Christina Lindemer (FEMA), Dave Rosa (FEMA), Paul Rooney (FEMA), Julia Signell and Dan Pilone of Element84, and the developers of STAC.