AGWA Automated Geospatial Watershed Assessment: GIS-based Hydrologic Modeling Tool for Watershed Assessment and Analysis © Copyright Adriel Heisey
Training Trainers: Dave Goodrich – ARS Phil Guertin – UA Shea Burns – UA/ARS Russ Lyons - UA Presentations Introduction Advanced Modeling Concepts Fire Effects and Modeling Training Modules Introduction – San Pedro Example Post-Fire Assessment – Aspen Fire Post-Fire Rehabilitation
Process-based tool to - Consequences of historical watershed changes - Identify locations for follow-up targeted ambient monitoring - Assist in stressor and source identification - Evaluate effectiveness of management actions Operate with readily available GIS data - USGS DEMs (DEMs in ESRI Grid Format) - STATSGO, SSURGO, FAO soils - NALC, NLCD, GAP land cover/use – users can define their own Applicable across a range of geographies - AZ,OR, NV, NY, VA, WY, MT, Mexico, Kenya, Israel, S.Africa Applicable to multiple spatial and temporal scales Both Stand-alone and Web application Target audience - Researchers - Resource Managers and Decision Makers - Community-based Stakeholders AGWA Goals
Endpoints: runoff, sediment, nitrogen & phosphorus Simple, direct method for model parameterization Provide repeatable results for relative change assessments Two hydrologic models to address multiple scales –SWAT for large basins, daily time steps –KINEROS for small basins, sub-hour time steps –RHEM and WEPP for hillslopes (New) Basic GIS functionality –watershed delineation –single or multiple pour points –watershed discretization –simple, direct method for model parameterization –execute the models –visualize results spatially and difference results across multiple simulations AGWA – Basics
Daily time step Distributed: empirical and physically-based model Curve-number based infiltration – USLE erosion Hydrology, sediment, nutrient, and pesticide yields Larger watersheds (< 1,000 km 2, up to a HUC 8) Similar effort used by BASINS Soil Water and Assessment Tool (SWAT) pseudo- channel 71 channel 73 Abstract Routing Representation to next channel
Event-based (< minute time steps) Distributed: physically-based model with dynamic routing – both for overland flow and erosion Has been used in urban environments Hydrology, erosion, sediment transport (plus N&P with OPUS version) Smaller watersheds (< km 2, up to a HUC 10) Kinematic Runoff and Erosion Model (KINEROS2) Abstract Routing Representation
rainfall intensity (i) flow depth (h) infiltration (f) Finite difference step length (dx) fi x Q t h channel element Excess Runoff From a Plane - KINEROS Other Factors interception hydraulic roughness rain splash erosion soil cohesion (erodibility) Q q Zones of aggregation and degradation can be define.
New Features and Capabilities Incorporation of the Water Erosion Prediction Project Model (WEPP) and the Rangeland Hydrology and Erosion Model (RHEM) into KINEROS. –Detailed representation of hillslope elements (geometry, soil, vegetation) –Parameters are available for most agricultural (WEPP) and rangeland (RHEM) types. –Seamless integration between hillslope erosion modeling and sediment transport. –Ability to “switch” models based on land cover being developed.
Watershed Characterization (model elements) + Land Cover Soils Rain (Observed or Design Storm) Results Run model and import results Intersect model elements with Watershed Delineation using Digital Elevation Model (DEM ) Sediment yield (t/ha)Sediment discharge (kg/s) Water yield (mm)Channel Scour (mm) Transmission loss (mm)Peak flow (m 3 /s or mm/hr) Channel Disch. (m 3 /day)Sediment yield (kg) Percolation (mm)Runoff (mm or m 3 ) ET (mm)Plane Infiltration (mm) Precipitation (mm)Channel Infiltration (m 3 /km) SWAT OutputsKINEROS Outputs AGWA Conceptual Design: Inputs and Outputs Output results that can be displayed in AGWA Hillslope
CSA: 2.5% (6.9 km 2 ) 44 watershed elements 29 channel elements CSA: 20% (55 km 2 ) 8 watershed elements 5 channel elements CSA: 5% (13.8 km 2 ) 23 watershed elements 15 channel elements CSA: 10% (27.5 km 2 ) 11 watershed elements 7 channel elements km N the influence of CSA on watershed complexity Automated Watershed Characterization Note channel initiation Point changing with CSA
Characterizing the Watershed Homogeneous planes Hydrologic parameters represent intersections of topo., cover, soil Information loss as f (geometric complexity) Scaling issues Assigned the weighted average Watershed modeling relies on condensing spatial data into appropriate units for representing processes leaves plenty of room for error!
km N pseudo- channel 11 channel 14 Abstract Routing Representation to channel 64 Watershed Configuration for SWAT channel and subwatershed hydrology
Watershed Configuration for KINEROS km N Abstract Routing Representation upland, lateral and channel elements in cascade
N Contributing Source Area: 2000 acres - ~5% of total watershed area 33 planes - 7 upland elements - 25 lateral element 19 channels STATSGO ID: AZ061 Grassland & desertscrub Moderate relief Sample Configuration - KINEROS Watershed ID: 73 Area: 7.45 km2 Slope: 3.53 % Width: 945 m Length: 7876 m Interception: 2.60 mm Cover: % Manning's n: Pavement: 0.00 % Splash: Rock: 0.43 Ks: 6.67 mm/hr Suction: 115 mm Porosity: Max saturation: 0.93 Cv of Ks: 0.95 Sand: 50 % Silt: 33 % Clay: 17 % Distribution: 0.30 Cohesion: 0.006
AGWA ArcGIS 9.x Interface
San Pedro River, AZ – AGWA Example
Kepner et al., EPA-NERL/ESD
Change in Land Cover Extent
Human Use Index Area near Sierra Vista, AZ Fast-growing city Courtesy Bill Kepner, US-EPA
Spatial and Temporal Scaling of Results High urban growth Upper San Pedro River Basin >WY Water yield change between 1973 and 1997 SWAT Results Sierra Vista Subwatershed KINEROS Results N Forest Oak Woodland Mesquite Desertscrub Grassland Urban 1997 Land Cover Concentrated urbanization Using SWAT and KINEROS for integrated watershed assessment Land cover change analysis and impact on hydrologic response
Runoff (mm/hr) Time (min) Time (min) KINEROS model runs for rainfall events 5-year, 30-minute rainfall100-year, 60-minute rainfall Simulated Runoff From the Small Watershed Near Sierra Vista
Output – Tools for Water Quality Planning year Event TMDL Priority LOW MEDIUM 20020Miles N EW S 4048M il e s 3036Miles
Management Toolkit Use of vegetation monitoring data for model parameterization Land Cover Modification Tool Livestock Management (fencing, water, stocking) Stock ponds/ reservoirs – Wetlands (new) Buffer strips or filter strips (KINEROS) Post-Fire effects LID BMPs (new) Multi-watershed analysis
Land-Cover Modification Tool Allows user to specify type and location of land-cover alterations by either drawing a polygon on the display, or specifying a polygon map Types of Land-Cover Changes: Change entire user-defined area to new land cover Change one land-cover type to another in user-defined area Change land-cover type within user-supplied polygon map Create a random land-cover pattern e.g. to simulate burn pattern, change to 64% barren, 31% desert scrub, and 5% mesquite woodland
Wallow Fire, Arizona Nutrioso Creek South Fork Little Colorado River Centerfire Creek-San Francisco River Upper Blue River Upper Eagle Creek Middle Black Arizona Phoenix Tucson Pre-firePost-fire Percent Change Peak Flow (cfs) Sediment Yield (tons/ac) Total Sediment (tons) ” 25 year 6 hour event
Worldwide Interest Google Analytics – visits to AGWA website since November, ,698 registered users based on downloads 6 continents and 159 countries
AGWA Web Page: documentation, software, and publications Versions - Arcview 3.x - ArcGIS 9.0,1,2,3 - ArcGIS DotAGWA 1.x - Below MS-Win7 AGWA Information
Hydrology and Erosion modeling in the same place Can be applied across a range of scales (hillslope HUC8) Models have been used and tested in different geographies Parameterization without calibration – can be used on ungaged watersheds. –Best for Relative Change Analysis R&D – developing model parameters/tools to evaluate the impact of changing watershed conditions –Urban Growth – Increase in Impervious Area – LID BMPs –Rangeland Conditions – Change in Vegetation Cover –Energy Develop – Increase Soil Disturbance, Salt Movement –Wildland Fire – Fire Severity – Increase in Soil Disturbance AGWA – Why use it?
Input?