Checking for missing content type metadata ...

This resource contains content types with missing metadata required to make it public or discoverable. Show missing content type metadata.

Click on the edit button ( ) below to edit this resource.

Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.

This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.

HECinBOX: an Automated Agent-Based Flood Warning Framework using 2D Unsteady HEC-RAS Simulation

Authors:
Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 21 bytes
Created:	Sep 20, 2026 at 10:28 p.m. (UTC)
Last updated:	Sep 21, 2026 at 3:28 p.m. (UTC)
Citation:	See how to cite this resource

Sharing Status:	Public
Publication Status:	Pending Metadata Review This resource is under review for minimum metadata and to ensure that it adheres to community guidelines.
Views:	23
Downloads:	0
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

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

Deleting all keywords will set the resource sharing status to private.

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

49.3800°

East Longitude

-66.9500°

South Latitude

24.5200°

West Longitude

-124.7700°

Content

Learn more about the BagIt download

Select a file to see file type metadata.

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

Kahrizi, E., Moftakhari, H. (2026). HECinBOX: an Automated Agent-Based Flood Warning Framework using 2D Unsteady HEC-RAS Simulation, HydroShare, http://www.hydroshare.org/resource/cd3bb5c96a0f42e49faf3f0fcd9631cf

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

Comments

There are currently no comments

Notifications (${tasks.length})