SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference

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Demonstration of The Kineros2-Rhem-Agwa Suite of Modeling Tools

KINEROS2 (K2), developed by the USDA-Agricultural Research Service, is a spatially distributed rainfall-runoff erosion watershed model has been in use for a number of decades. Model improvement has continued for a variety of projects and purposes resulting in an informal suite of K2-based modeling tools. Like any detailed, distributed watershed modeling tool, the K2 suite of tools can require considerable time to delineate watersheds, discretize them into modeling elements and then parameterize these elements. These requirements motivated the development of the Automated Geospatial Watershed Assessment (AGWA) tool (see: www.tucson.ars.ag.gov/agwa or https://www.epa.gov/water-research/automated-geospatial-watershed-assessment-agwa-tool-hydrologic-modeling-and-watershed). AGWA is a GIS interface jointly, developed by the USDA-Agricultural Research Service, the U.S. Environmental Protection Agency, the University of Arizona, and the University of Wyoming to automate the parameterization, execution, and visualization of simulation results of a suite of hydrologic and erosion models (K2, and SWAT) using nationally available data or user provided input. A number of model improvements have been added since the 2019 SEDHYD meeting. They include the incorporation of the RHEM hillslope hydrology and erosion model, the ability for continuous model simulation and a snow component. All these components can be driven by stochastically generated climate variables from CLIGEN. The Climate Assessment Tool (CAT) available in AGWA alters CLIGEN parameters to produce realistic future climate scenarios including intensification. The objectives of this demonstration are to: 1) Allow users to become more familiar with K2-AGWA; 2) Provide visualization of RHEM, snow, and interactive runoff-infiltration and erosion dynamics; and, 3) Display the ArcGIS Pro version of AGWA.

David Goodrich
USDA-ARS
United States

D. Phillip Guertin
Univ. of Arizona
United States

I. Shea Burns
University of Arizona
United States

Carl Unkrich
USDA-ARS
United States

Patrick Broxton
Unversity of Arizona
United States

Yoganand Korgaonkar
University of Arizona
United States

Mariano Hernandez
Unversity of Arizona

Phil Heilman
USDA-ARS
United States

Haiyan Wei
Univ. of Arizona
United States

Mark Kautz
USDA-ARS
United States

C. Jason Williams
USDA-ARS
United States

 



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