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| Type: | Resource | |
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| Created: | Sep 20, 2026 at 10:28 p.m. (UTC) | |
| Last updated: | Oct 01, 2026 at 8:41 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Public |
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Abstract
Operational flood early warning requires continuous ingestion of forcing data, execution of hydrodynamic models, and translation of outputs into actionable alerts. These steps are often manual or semi-automated, limiting operational use of high-resolution two-dimensional flood models. This paper presents HECinBOX, an open-source, containerized framework that transforms existing HEC-RAS models into continuously operating flood early-warning systems. HECinBOX integrates HEC-RAS simulations with a configurable warning agent, automates retrieval and injection of gauge/forecast data into model boundary conditions, and enables scheduled flood forecasting, mapping, and alert generation. Deterministic modules handle model scanning, data ingestion, boundary condition orchestration, headless HEC-RAS execution, and result extraction, while a stateful agent evaluates user-defined thresholds, tracks prior alerts, and issues alerts. Tested on several ready-to-run HEC-RAS models, including Brays Bayou in Houston, Texas, HECinBOX demonstrates applicability across model configurations and provides a generalizable path from static flood studies to operational, self-updating early-warning systems.
Subject Keywords
Coverage
Spatial
Content
README.md
Access the Software
Please use the following GitHub repository to access the latest version of HECinBOX:
GitHub repository: https://github.com/Ehsankahrizi/HECinBOX/
Website: https://hecinbox.com/
Demo: https://demo.hecinbox.com/
Contact
Ehsan Kahrizi
University of Alabama
Civil, Construction and Environmental Engineering
Additional Metadata
| Name | Value |
|---|---|
| demo_url | https://demo.hecinbox.com/ |
| page_url | https://hecinbox.com/ |
| thumbnail_url | https://raw.githubusercontent.com/Ehsankahrizi/HECinBOX/main/assets/logo_256.png |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Cooperative Institute for Research to Operations in Hydrology (CIROH) | None | NA22NWS4320003 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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