View
221
Download
4
Tags:
Embed Size (px)
Citation preview
CEE 795Water Resources Modeling and GIS
Learning Objectives:• Describe the steps in hydrologic modeling• Evaluate different types of hydrologic models• Summarize the components of AGWA
Handouts: Assignments:
Lecture 8: Hydrologic Modeling and AGWA
April 3, 2006
Design Point
1
5
6
3
2
Hydrologic/Watershed Modeling
Thomas Piechota, Ph.D., P.E.Department of Civil and Environmental Engineering
University of Nevada, Las [email protected]
Design Point
1
5
6
3
2
Definitions
• Watershed: area that topographically contributes to the drainage to a point of interest
• Streamflow: runoff (rate or volume) at a specified point in a watershed.
• Hydrologic budget: accounting of water in a system.
Conceptual Model of Watershed Modeling
Typical Input
• Topography
• Soil Characteristics
• Land cover
• Land use
• Meteorological data
Typical Output
• Streamflow
• Subsurface Flow
• Depth to water table
Steps to Hydrologic Modeling
1. Delineate watershed
2. Obtain hydrologic and geographic data
3. Select modeling approach
4. Calibrate/Verify model
5. Use model for assessment/prediction/design
What is a Watershed?• Area that topographically contributes to the
drainage to a point of interestNatural Watershed
Points of Interest
• Road crossing
• Stream gage
• Reservoir inlet
• Wastewater treatment plant
• Location of stream restoration
Urban Watershed
100
98
105
100
99
97
100
103
108
110
103
100 98
100
98
98
Design Point
USGS Quad Map
Digital Elevation Model (DEM)• Digital file that stores the elevation of the land
surface a specified grid cell size (e.g., 30 meters)
Steps to Hydrologic Modeling
1. Delineate watershed
2. Obtain hydrologic and geographic data
3. Select modeling approach
4. Calibrate/Verify model
5. Use model for assessment/prediction/design
Geographic Data• Land cover
1992 NALC Hillshade DEM STATSGO
ForestOak WoodlandsMesquite WoodlandsGrasslandsDesertscrubRiparianAgricultureUrbanWaterBarren / Clouds
Land CoverForestOak WoodlandsMesquite WoodlandsGrasslandsDesertscrubRiparianAgricultureUrbanWaterBarren / Clouds
Land Cover
0 5 10 km0 5 10 km
NN
• Land use
Geographic Data• Soil type/classification
1992 NALC Hillshade DEM STATSGO
ForestOak WoodlandsMesquite WoodlandsGrasslandsDesertscrubRiparianAgricultureUrbanWaterBarren / Clouds
Land CoverForestOak WoodlandsMesquite WoodlandsGrasslandsDesertscrubRiparianAgricultureUrbanWaterBarren / Clouds
Land Cover
0 5 10 km0 5 10 km
NN
Hydrologic Data• Meteorological Data
– Temperature– Precipitation– Wind speed– Humidity
• Extrapolation of point measurements– Theissen Polygons– Inverse distance weighting
Hydrologic Data• Hydrologic Data
– Streamflow• Peak discharge• Daily flow volume• Annual flow volume
– Soil moisture– Groundwater level
Design Point
1
5
6
3
2
Streamflow
Steps to Hydrologic Modeling
1. Delineate watershed
2. Obtain hydrologic and geographic data
3. Select modeling approach
4. Calibrate/Verify model
5. Use model for assessment/prediction/design
Modeling Approaches (examples)TIME SCALE
Event-based
(minute to day)
Continuous Simulation
(days – years)
Empirical
Regression equ’s
Transfer Functions
Simple models
Rational Method
SCS Unit Hydrograph Simple Model
Physically-based
Based on physical processes
Complicated
Many parameters
KINEROS
Stanford Watershed Model
TOPMODEL
SWAT
VIC-3L
TOPMODEL
Basis for Many Hydrologic Models
• Hydrologic Budget (In – Out = ΔStorage)
Watershed
Precipitation (P)Groundwater in (GWin)
Evaporation (E)
Transpiration (T) Streamflow (Q)
Groundwater out (GWout)
Reservoir
Infiltration (I)
(P + GWin) – (E + T + I + GWout + Q) = ΔStoragereservoir
Which Model Should be Used?
• It Depends on:
– What time scale are you working at?
– What hydrologic quantity are you trying to
obtain?
– What data do you have for your watershed?
– How fast of a computer do you have?
Spatial Scaling of Models
LumpedParameters assigned to each subbasin
A1A2
A3
Fully-DistributedParameters assigned to each grid cell
Semi-DistributedParameters assigned to each grid cell, but cells with same parameters are grouped
Stanford Watershed Model(HSPF)• Physically-based and continuous simulation
STANFORD WATERSHED MODEL
To Stream
Actual ET
Potential ETPrecipitationTemperature
RadiationWind,Dewpoint
Snowmelt
InterceptionStorage
Lower ZoneStorage
GroundwaterStorage
InterflowUpper Zone Storage
Overland Flow
Deep or InactiveGroundwater
CEPSC*
BASETP*
AGWETP*
DEEPFR*
LZSN*
INFILT*
INTFW*UZSN*
AGWRC*
NSUR*SLSUR*LSUR*
IRC*
Delayed Infiltration
DirectInfiltration
PERC
1 ET
2 ET
3 ET
4 ET
5 ET
LZETP*
* Parameters
Output
Process
Input
Storage
ET - Evapotranspiration
n Order taken tomeet ET demand
Decision
Kinematic Runoff and Erosion Model (KINEROS)
• Developed by USDA• http://www.tucson.ars.ag.gov/kineros/
• Event oriented & physically based• Describes the processes of
interception, infiltration, surface runoff and erosion
TOPMODEL• Semi-distributed &
physically-based• Relates hydrologic
processes (e.g., overland flow, subsurface flow) to topographic characteristics of watershed
• Efficiency of lumped model and physical theory of a distributed model
Infiltration
Drainage
MacroporeFlow
Subsurface Flow
TotalFlow
OverlandFlow
Source Area
Precipitation
Evapotranspiration
TOPMODEL Example
Pacific OceanPacific Ocean
Variable Infiltration Capacity (VIC-3L)
• Continuous simulation and physically-based• Macroscale hydrologic model that solves full water
and energy balances
VIC-3L Example
Anamoly Three Layers Soil Moisture( Upper Mississippi Basin)
-200
-100
0
100
200
Jan-50 Sep-63 May-77 Feb-91 Oct-04
Time (Month)
Anom
aly
Soil
Moi
stur
e (in
ch)
layer1 layer2 layer3
Steps to Hydrologic Modeling
1. Delineate watershed
2. Obtain hydrologic and geographic data
3. Select modeling approach
4. Calibrate/Verify model
5. Use model for assessment/prediction/design
Calibrating a Model• Typically the model is calibrated against
observed streamflow data• Depending on the model complexity,
parameters are adjusted until observed streamflow equals model streamflow
• Which observed value to use:– Qpeak
– Qvolume
– tpeak
Qpeak
Q
t
ttpeakpeak QQvolumevolume
Sensitive Parameters
• Precipitation
• Soil parameters– Hydraulic conductivity– Soil water holding capacity
• Evaporation (for continuous simulation)
• Flow routing parameters (for event-based)
Uncertainties• Precipitation
– Extrapolation of point to other areas– Temporal resolution of data
• Soils information– Surveys are based on site visits and then
extrapolated
• Routing parameters– Usually assigned based on empirical studies
Steps to Hydrologic Modeling
1. Delineate watershed
2. Obtain hydrologic and geographic data
3. Select modeling approach
4. Calibrate/Verify model
5. Use model for assessment/prediction/design
Use of Models
• Assessment– What happens if land use/land cover is
changed?
• Prediction– Flood forecasting
• Design– How much flow will occur in a 100 year
storm?
AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT A GIS-BASED WATERSHED MODELING TOOLA GIS-BASED WATERSHED MODELING TOOL
William Kepner and Darius SemmensWilliam Kepner and Darius SemmensUS – EPA Landscape Ecology Branch Las Vegas, NVUS – EPA Landscape Ecology Branch Las Vegas, NV
David Goodrich, Mariano Hernandez, Shea Burns, David Goodrich, Mariano Hernandez, Shea Burns, Averill Cate, Soren Scott, and Lainie LevickAverill Cate, Soren Scott, and Lainie Levick
USDA-ARS Southwest Watershed Research Center, Tucson, AZUSDA-ARS Southwest Watershed Research Center, Tucson, AZ
Phillip GuertinPhillip GuertinUniversity of Arizona, Tucson, AZUniversity of Arizona, Tucson, AZ
Scott MillerScott MillerUniversity of Wyoming, Laramie, WYUniversity of Wyoming, Laramie, WY
Project Background & Acknowledgements
• Long-Term Research Project – Landscape Ecology Branch – 5 years
• Interdisciplinary– Watershed management– Landscape ecology– Atmospheric modeling– Remote sensing– GIS
• Multi-Agency– USDA – ARS– US – EPA– University of Arizona– University of Wyoming– USGS
• Student Support– 2 Post-Doc– 2 PhD– 2 Masters
USDA-ARS David Goodrich Mariano Hernandez Averill Cate Ian Burns Casey Tifft Soren ScottUS-EPA Bill Kepner Darius Semmens Dan Heggem Bruce Jones Don EbertUniversity of Arizona Phil GuertinUniversity of Wyoming Scott Miller
• PC-based GIS tool for watershed modeling
– KINEROS & SWAT (modular)
• Investigate the impacts of land-use/cover change on runoff, erosion, and water quality at multiple scales
• Compare and visualize results
• Targeted for use by research scientists and management specialists
• Useful in conducting TMDL analyses
• Widely applicable
Introduction
(SWAT)• Daily time step• Distributed: empirical and physically-based model• Hydrology, sediment, nutrient, and pesticide yields• Larger watersheds (> 1,000 km2)• Similar effort used by BASINS
71
7373
Soil and Water Assessment Tool
71
73
pseudo-channel 71
channel 73
Abstract Routing Representation
to next channel
(KINEROS2)• Event-based (< minute time steps)
• Distributed: physically-based model with dynamic routing
• Hydrology, erosion, sediment transport
• Smaller watersheds (< 100 km2)
74
72
Kinematic Runoff and Erosion Model
73
71 71
73
72
74Abstract Routing Representation
AGWA ArcView Interface
Watershed Discretization (model elements) ++
LandCover
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 (m3/s or mm/hr)
Channel Disch. (m3/day)Sediment yield (kg)
Percolation (mm)Runoff (mm or m3)
ET (mm)Plane Infiltration (mm)
Precipitation (mm)Channel Infiltration (m3/km)
SWAT OutputsKINEROS Outputs
AGWA Conceptual Design: Inputs and Outputs
Output results that can be displayed in AGWA
Navigating Through AGWA
Subdivide Watershed Into Model Elements
SWAT KINEROS
Generate rainfall input files
Daily Rainfall from…Gauge locationsThiessen mapPre-defined continuous record
Storm Event from…NOAA Atlas-IIPre-defined return-period / magnitude“Create-your-own”
Intersect Soils & Land Cover
Generate Watershed Outline grid
polygon
Choose the model to run
look-up tables
Navigating Through AGWA, Cont’d…
Subwatersheds & ChannelsContinuous Rainfall Records
Prepare input data
Run The Hydrologic Model & Import Results
Display/Compare Results
SWAT outputs:•Runoff, water yield (mm)•Channel Discharge (m3/day)•Evapotranspiration (mm)•Percolation (mm)•Transmission Losses (mm)•Sediment Yields (mm)
Channel & Plane ElementsEvent (Return Period) Rainfall
KINEROS outputs:•Runoff (mm,m3)•Sediment Yield (kg/ha)•Infiltration (mm)•Transmission losses (m3/km)•Peak runoff rate (m3/s) •Peak sediment discharge (kg/s)
external to AGWA
Visualization for each model
element
NLCD
Land cover A B C D Cover (%)
High intensity residential (22) 81 88 91 93 15
Bare rock/sand/clay (31) 96 96 96 96 2
Forest (41) 55 75 80 50
Shrubland (51) 63 77 85 88 25
Grasslands/herbaceous (71) 80 87 93 70
Small grains (83) 65 76 84 88 80
CURVE NUMBERHydrologic Soil Group
SWAT Parameter Estimation
- Example: Curve Number from NLCD land cover
Higher numbers result in higher runoff
Texture Ksat Suction Porosity Smax CV Sand Silt Clay Dist Kff Clay 0.6 407.0 0.475 0.81 0.50 27 23 50 0.16 0.34
Fractured Bedrock 0.6 407.0 0.475 0.81 0.50 27 23 50 0.16 0.05
Clay Loam 2.3 259.0 0.464 0.84 0.94 32 34 34 0.24 0.39
Sandy Clay Loam 4.3 263.0 0.398 0.83 0.60 59 11 30 0.40 0.36
Silt 6.8 203.0 0.501 0.97 0.50 23 61 16 0.23 0.49
Loam 13.0 108.0 0.463 0.94 0.40 42 39 19 0.25 0.42
Sandy Loam 26.0 127.0 0.453 0.91 1.90 65 23 12 0.38 0.32
Gravel 210.0 46.0 0.437 0.95 0.69 27 23 50 0.16 0.15
KINEROS Parameter Estimation Parameters based on soil texture (STATSGO, SSURGO, FAO)
Parameters based on land-cover classification (e.g. NLCD)
Land Cover Type Interception (mm/hr) Canopy (%) Manning's n Forest 1.15 30 0.070 Oak Woodland 1.15 20 0.040 Mesquite Woodland 1.15 20 0.040 Grassland 2.0 25 0.050 Desertscrub 3.0 10 0.055 Riparian 1.15 70 0.060 Agriculture 0.75 50 0.040 Urba n 0.0 0.0 0.010
AZ061
Component 1
20%
Component 2
45% Component 3
35%
9 inches
Layer 1
Layer 2
Layer 3
2
2
5
Layers for component 3
Components for MUID AZ061
Intersection of model element with soils map
AGWA Soil Weighting (KINEROS)
• Area and depth weighting of soil parameters
• Area weighting of averaged MUID values for each watershed element
AZ076
AZ067
Parameter Manipulation (optional)
Ksat
Can manually change parameters for each channel and plane element
Stream channel attributes
Upland plane attributes Ksat
Automated tracking of simulation inputs
Calculate and view differences between
model runs
Multiple simulation runs for a given watershed
Color-ramping of results for each element to show spatial variability
Visualization of Results
Spatial and Temporal Scaling of Results
High urban growth1973-1997
Upper San PedroRiver Basin
#
#
ARIZONA
SONORA
Phoenix
Tucson
<<WY >>WY
Water yield change between 1973 and 1997
SWAT Results
Sierra Vista Subwatershed
KINEROS Results
N
ForestOak WoodlandMesquite DesertscrubGrasslandUrban1997 Land Cover
Concentrated urbanization
Using SWAT and KINEROS for integrated watershed assessment Land cover change analysis and impact on hydrologic response
Urbanization Effects (KINEROS2)
Pre-urbanization
1973 Land cover
Post-urbanization
1997 Land cover
• Results from pre- and post-urbanization simulations using the 10-year, 1-hour design storm event
Limitations of GIS - Model Linkage
• Model Parameters are based on look-up tables- need for local calibration for accuracy- FIELD WORK!
• Subdivision of the watershed is based on topography- prefer it be based on intersection of soil, lc, topography
• No sub-pixel variability in source (GIS) data- condition, temporal (seasonal, annual) variability- MRLC created over multi-year data capture
• No model element variability in model input- averaging due to upscaling
Most useful for relative assessment unless calibrated
Land-Cover Modification Tool Allows users to build management scenarios Location of land-cover alterations specified 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
Alternative Futures: Base Change Scenarios1. CONSTRAINED – Assumes population increase less than 2020 forecast
(78,500). Development in existing areas, e.g. 90% urban.
2. PLANS – Assumes population increase as forecast for 2020 (95,000). Development in mostly existing areas, e.g. 80% urban and 15% suburban.
3. OPEN – Assumes population increase more than 2020 forecast (111,500). Most constraints on land development removed. Development occurs mostly into rural areas (60%) and less in existing urban areas (15%).
Percent Change in Runoff under Future Scenarios
• There is considerable variation – particularly between extremes produced by constrained and open scenarios (Kepner et al., 2004)
• Surface runoff will increase in all three scenarios
• Sediment yield will increase especially as new surfaces are disturbed and surface runoff increases
(Derived from using future land covers
and AGWA)
Plans
Applications of National & International Significance
NationalNational• NYCDEP – NYCDEP – Catskill/Delaware watershed Catskill/Delaware watershed
assessmentassessment• Upper San Pedro Partnership – Upper San Pedro Partnership – watershed watershed
planning, cost-benefit analysisplanning, cost-benefit analysis• EMAP – EMAP – Oregon (AGWA-ATtILA) integrated Oregon (AGWA-ATtILA) integrated
alternative futures assessmentalternative futures assessment• ReVA – ReVA – SEQL alternative futuresSEQL alternative futures• EPA Region 9 – EPA Region 9 – CWA 404 and NEPACWA 404 and NEPA• EPA Region 10 – EPA Region 10 – 404/NEPA, transportation planning404/NEPA, transportation planning• NWS – NWS – Real-time flood warningReal-time flood warning• USFS – USFS – Post-fire assessment & rehabilitation planningPost-fire assessment & rehabilitation planning• AZ – AZ – State is using AGWA for TMDL planning and education of municipal officialsState is using AGWA for TMDL planning and education of municipal officials
InternationalInternational• NATO Committee on the Challenges to Modern Society (CCMS) – NATO Committee on the Challenges to Modern Society (CCMS) – Integrated Integrated
hydrologic/ecological landscape change assessmenthydrologic/ecological landscape change assessment• Southwest Consortium for Environmental Research and Policy (SCERP) – Southwest Consortium for Environmental Research and Policy (SCERP) –
U.S./Mexico trans-border watershed managementU.S./Mexico trans-border watershed management• UNESCO Global Network for Water and Development Information (G-WADI) – UNESCO Global Network for Water and Development Information (G-WADI) –
International arid-region hydrologic modelingInternational arid-region hydrologic modeling
• AGWA 1.1 released at the Fed. Interagency AGWA 1.1 released at the Fed. Interagency Hydrologic Modeling Conference, July 2002Hydrologic Modeling Conference, July 2002
• Externally peer-evaluated through two separate federal review Externally peer-evaluated through two separate federal review processes (EPA/600/R-02/046 & ARS/137460)processes (EPA/600/R-02/046 & ARS/137460)
• AGWA added to AGWA added to • EPA Council for Regulatory Environmental Modeling (CREM) databaseEPA Council for Regulatory Environmental Modeling (CREM) database• NASA Applied Sciences Directorate model and analysis systemsNASA Applied Sciences Directorate model and analysis systems• USGS Surface-water Modeling Interest Group archivesUSGS Surface-water Modeling Interest Group archives
• AGWA 1.4 released in July, 2004AGWA 1.4 released in July, 2004
• AGWA integrated into BASINS 3.1 release, August 2004AGWA integrated into BASINS 3.1 release, August 2004
• Training – national and internationalTraining – national and international
• Free public download and full documentation via parallel EPA Free public download and full documentation via parallel EPA and ARS web sitesand ARS web sites
• 1200+ registered users (excluding BASINS users)1200+ registered users (excluding BASINS users)
AGWA Milestones
AGWA Support & Distribution• Fact Sheets, Product Announcement, Brochures
• Documentation and User Manual
• Quality Assurance Report Research Plan Code Structure (Avenue
Scripts, Dialogs, System Calls)
EPA and USDA/ARS companion Websites
Journal Publications (Hernandez et al. 2000, Miller et al. 2002a, Miller et al. 2002b, Kepner et al., 2004)
Training: Las Vegas (2001); Reston (2002); Tucson (2003); San Diego (2004)
• AGWA Web Sites
http://www.epa.gov/nerlesd1/land-sci/agwa/index.htm
http://www.tucson.ars.ag.gov/agwa
Future Directions
• Final ArcView version (AGWA 1.5) release at FIHMC (April 2006)Final ArcView version (AGWA 1.5) release at FIHMC (April 2006)
• Detailed, peer reviewed design plan for AGWA migration to ArcGIS Detailed, peer reviewed design plan for AGWA migration to ArcGIS and Internet completed April, 2005and Internet completed April, 2005
• Beta-release of ArcGIS and Internet versions, 2006Beta-release of ArcGIS and Internet versions, 2006
• Final ArcGIS and Internet release with full documentation, 2007 Final ArcGIS and Internet release with full documentation, 2007
Migrating to ArcGIS (AGWA 2.0) and the Internet (DotAGWA)
Integration of additional models
• Opus – USDA-ARS integrated simulation model for transport of non-Opus – USDA-ARS integrated simulation model for transport of non-point source pollutants (2007)point source pollutants (2007)
• MODFLOW – USGS ground-water model will be coupled with AGWA-MODFLOW – USGS ground-water model will be coupled with AGWA-KINEROS surface-water model (planning meeting 2006)KINEROS surface-water model (planning meeting 2006)
• GAP habitat models – integrated hydrologic and ecological GAP habitat models – integrated hydrologic and ecological assessments (proposal pending)assessments (proposal pending)