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Transactions of the ASABE | 2012

KINEROS2-AGWA: Model Use, Calibration, and Validation

D. C. Goodrich; I. S. Burns; Carl L. Unkrich; Darius J. Semmens; D.P. Guertin; Mariano Hernandez; S. Yatheendradas; Jeffrey R. Kennedy; Lainie R. Levick

KINEROS (KINematic runoff and EROSion) originated in the 1960s as a distributed event-based model that conceptualizes a watershed as a cascade of overland flow model elements that flow into trapezoidal channel model elements. KINEROS was one of the first widely available watershed models that interactively coupled a finite difference approximation of the kinematic overland flow equations to a physically based infiltration model. Development and improvement of KINEROS continued from the 1960s on a variety of projects for a range of purposes, which has resulted in a suite of KINEROS-based modeling tools. This article focuses on KINEROS2 (K2), a spatially distributed, event-based watershed rainfall-runoff and erosion model, and the companion ArcGIS-based Automated Geospatial Watershed Assessment (AGWA) tool. AGWA automates the time-consuming tasks of watershed delineation into distributed model elements and initial parameterization of these elements using commonly available, national GIS data layers. A variety of approaches have been used to calibrate and validate K2 successfully across a relatively broad range of applications (e.g., urbanization, pre- and post-fire, hillslope erosion, erosion from roads, runoff and recharge, and manure transport). The case studies presented in this article (1) compare lumped to stepwise calibration and validation of runoff and sediment at plot, hillslope, and small watershed scales; and (2) demonstrate an uncalibrated application to address relative change in watershed response to wildfire.


2005 Watershed Management Conference - Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges | 2005

Rapid Post-Fire Hydrologic Watershed Assessment using the AGWA GIS-based Hydrologic Modeling Tool

David C. Goodrich; H. Evan Canfield; I. Shea Burns; D. J. Semmens; S. N. Miller; M. Hernandez; Lainie R. Levick; David P. Guertin; William G. Kepner

Rapid post-fire watershed assessment to identify potential trouble spots for erosion and flooding can potentially aid land managers and Burned Area Emergency Rehabilitation (BAER) teams in deploying mitigation and rehabilitation resources. These decisions are inherently complex and spatial in nature and require a distributed hydrological modeling approach. The extensive data requirements and the task of building input parameter files have presented obstacles to the timely and effective use of complex distributed rainfallrunoff and erosion models by BAER teams and resource managers. Geospatial tools and readily-available digital sources of pre-fire land cover, topography, and soils combined with rainfall-runoff and erosion models can expedite assessments if properly combined, provided a post-fire burn-severity map is available. The AGWA (Automated Geospatial Watershed Assessment) hydrologic modeling tool was developed to utilize nationally available spatial data sets and both empirical (SWAT) and more process-based (KINEROS2) distributed hydrologic models (see: www.tucson.ars.ag.gov/agwa). Through an intuitive interface the user selects an outlet from which AGWA delineates and discretizes the watershed using a Digital Elevation Model (DEM). The watershed model elements are then intersected with soils and land cover data layers to derive the requisite model input parameters. The chosen model is then run, and the results are imported back into AGWA for graphical display. AGWA can difference results from pre- and post-fire model simulations and display the change on the modeled watershed. This allows managers to identify potential problem areas where mitigation activities can be focused. An overview of AGWA and an application of it to the 2003 Aspen fire north of Tucson, Arizona are discussed herein.


Innovations in Watershed Management under Land Use and Climate Change. Proceedings of the 2010 Watershed Management Conference, Madison, Wisconsin, USA, 23-27 August 2010 | 2010

The AGWA - KINEROS2 Suite of Modeling Tools

D. C. Goodrich; Carl L. Unkrich; R. E. Smith; D. P. Guertin; Mariano Hernandez; I. S. Burns; J. E. Massart; Lainie R. Levick; Scott N. Miller; Darius J. Semmens; William G. Kepner

KINEROS originated in the 1970’s as a distributed event-based rainfall-runoff erosion model. A unique feature at that time was its interactive coupling of a finite difference approximation of the kinematic overland flow equations to the Smith-Parlange infiltration model. Development and improvement of KINEROS has continued for a variety of projects and purposes. As a result, a suite of KINEROS2-based modeling tools has been developed that can be executed from a single shell. The tools range from the event-based KINEROS2 flash-flood forecasting tool to the continuous KINEROS2-Opus2 (K2-O2) biogeochemistry tool. The KINEROS2 flash flood forecasting tool is being tested with the National Weather Service (NWS). It assimilates the NWS Digital Hybrid Reflectivity (DHR) radar product in near-real time and can simultaneously run ensembles using multiple radar-reflectivity relationships. In addition to simulation of runoff and sediment transport, K2-O2 can simulate common agricultural management practices, plant growth, nutrient cycling (nitrogen, phosphorus and carbon), water quality and chemical runoff. Like any detailed, distributed watershed modeling software, the KINEROS2 suite of tools often requires considerable effort to implement; it is necessary to delineate watersheds, discretize them into modeling elements, and parameterize these elements. This need motivated the development of the Automated Geospatial Watershed Assessment (AGWA) tool. This ArcGIS-based tool uses commonly available, national GIS data layers to fully parameterize, execute, and visualize results from both the SWAT and KINEROS2 models. By employing these two models AGWA can conduct hydrologic modeling and watershed assessments at multiple temporal and spatial scales. A variety of new capabilities have been added to AGWA to configure KINEROS2 inputs to simulate a number of land-management practices or changes (fire, urbanization, and best management practices) as well as incorporate decision-management tools for rangelands. An overview of these tools will be provided.


Journal of Flood Risk Management | 2010

Flood hazard awareness and hydrologic modelling at Ambos Nogales, United States–Mexico border

Laura M. Norman; H. Huth; Lainie R. Levick; I. Shea Burns; D. Phillip Guertin; F. Lara-Valencia; D. Semmens


Scientific Investigations Report | 2016

Hydrological conditions and evaluation of sustainable groundwater use in the Sierra Vista Subwatershed, Upper San Pedro Basin, southeastern Arizona

Bruce Gungle; James B. Callegary; Nicholas V. Paretti; Jeffrey R. Kennedy; Christopher J. Eastoe; Dale S. Turner; Jesse E. Dickinson; Lainie R. Levick; Zachary P. Sugg


Open-File Report | 2010

Nogales flood detention study

Laura M. Norman; Lainie R. Levick; D. Phillip Guertin; James Callegary; Jesus Quintanar Guadarrama; Claudia Zulema Gil Anaya; Andrea Prichard; Floyd Gray; Edgar Castellanos; Edgar Tepezano; Hans Huth; Prescott Vandervoet; Saul Rodriguez; Jose Nunez; Donald Atwood; Gilberto Patricio Olivero Granillo; Francisco Octavio Gastellum Ceballos


Archive | 1999

Influences of Map Scale on Drainage Network Representation

Scott N. Miller; D. Phillip Guertin; Lainie R. Levick


Archive | 2008

NEMO Watershed-Based Plan Santa Cruz Watershed

Kristine Uhlman; D. Phillip Guertin; Lainie R. Levick; Terry Sprouse; Erin Westfall; Cassie Holmgren; Ariel Fisher


Archive | 2006

NEMO Watershed Based Plan Middle and Lower San Pedro Watershed

Lainie R. Levick; Mickey Reed; Elisabeth vanderLeeuw; D. Phillip Guertin; Kristine Uhlman


Archive | 2005

NEMO Watershed Based Plan Upper Gila Watershed

Hoori Ajami; D. Phillip Guertin; Lainie R. Levick; Kristine Uhlman

Collaboration


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D. Phillip Guertin

Agricultural Research Service

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Darius J. Semmens

United States Environmental Protection Agency

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Mariano Hernandez

United States Department of Agriculture

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Scott N. Miller

Agricultural Research Service

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William G. Kepner

United States Environmental Protection Agency

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D. C. Goodrich

United States Department of Agriculture

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Carl L. Unkrich

United States Department of Agriculture

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David C. Goodrich

Agricultural Research Service

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