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Pierre Y. JulienColorado State University
Jiutepec, Mexico
November 20, 2008
Avances en la modelacion de avenidas subitas, transporte
de sedimentos y contaminantes con TREX
PROBLEM: Upland ErosionIntroduct ion
Erosion Picture
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PROBLEM: … and DepositionDeposition pictureI
ntroduct ion
CASC2D- Julien et al. (1995)CASC2D-SED – Johnson et al. (2000), Rojas (2002)
Rainfall
RetentionInfiltration
CASC2D-SED
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Goodwin Creek WatershedApplication
• Location: Panola County (MS)
• Area: 21Km2
• Monitored by ARS-NSL (Oxford, MS)
• 37 rain gages
• 14 stream gages (water and sediment)
• Channel surveys
• GIS data
INPUT DATA (DEM)
Digital Elevation Model
Derive:1. Channel Network2. Slope distribution
Application
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INPUT DATA (soil type)Application
INPUT DATA (land use)Application
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INPUT DATA (rainfall)
10/17/81 event:
Duration: 3.5 hr.
Depth: 73 mm. 0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
0 50 100 150 200 250 300 350Time (min)
Inte
nsity
(in/
h)
1 2
5 6
7 10
12 14
34 35
41 42
52 61
64 65
Rain Gage Number
Raingage location
Application
Receiving Cell
Receiving Cell
Parent material
Deposition
Suspension
Deposition
Suspension
qsy
qsxOutgoing Cell
SEDIMENT ROUTING
Availablematerial
CASC2D-SED
AdvectionCapacity
vs. supply
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UPLAND EROSION (2-D)Modified Kilinc and Richardson equation for the overland:
PC15.0
KWQS23210)s*m/tons(q
035.266.1
ot ⎟⎠⎞
⎜⎝⎛=
CASC2D-SED
DEM
Hydraulics
SoilsLand use
GEOVISUALIZATION rainfall-runoff
10/17/81: calibration event:
Rainfall rates, infiltration, water depth and sediment concentration
Results
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GEOVISUALIZATION rainfall-runoff
10/17/81: calibration event:
Rainfall rates, infiltration, water depth and sediment concentration
Results
012345678
0 200 400 600 800Time [min]
Run
off [
mm
/h]
MODEL CALIBRATION
02468
1012141618
0 200 400 600 800Time [min]
Run
off [
mm
/h]
02468
1012141618
0 200 400 600 800Time [min]
Run
off [
mm
/h]
0
2
4
6
8
10
12
0 200 400 600 800Time [min]
Run
off [
mm
/h]
0
2
4
6
8
10
12
14
0 200 400 600 800Time [min]
Run
off [
mm
/h]
0
2
4
6
8
10
12
14
0 200 400 600 800Time [min]
Run
off [
mm
/h]
ObservedSimulated
Hydrographs
INTERNAL VALIDATION
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02468
101214161820
0 200 400 600 800Time [min]
Qs [
tons
/ ha
/ da
y] 02468
10121416
0 200 400 600 800Time [min]
Qs [
tons
/ ha
/ da
y]
02468
101214161820
0 200 400 600 800Time [min]
Qs [
tons
/ ha
/ da
y]
0
10
20
30
40
50
60
0 200 400 600 800Time [min]
Qs [
tons
/ ha
/ da
y]
05
101520253035404550
0 200 400 600 800Time [min]
Qs [
tons
/ ha
/ da
y]
MODEL CALIBRATION
ObservedSimulated
012345678
0 200 400 600 800Time [min]
Qs [
tons
/ ha
/ da
y]
Sedigraphs
INTERNAL VALIDATION
SEDIMENT RATING CURVES
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NET EROSION (Uniform)
Grid
Size
Net Erosion and Deposition*
*Net difference between erosion and deposition.
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California Gulch Watershed• EPA Superfund Site
• Location: Lake County (CO)
100-year flood: 2-h: 1.73 in
Leadville
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Model Application to California Gulch
Elevation Range:2909 - 3654 m
Mean Slope: 12.6 %
Topography:Basin is 30.6 km2
Transport Issue:Contaminant sources distributed across site (~2000 sources)
Metals: Cd, Cu, Zn
Toxicity to fish and benthos downstream
Contaminant Characterization: Soils
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Halgren, Julien CG/AR Research Progress Meeting June 2008
California Gulch, Colorado
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Real-Time Precip. and FluvialReal-Time FluvialOther Airport Precip.
Data Locations:
CG/AR Progress Review: June 2008
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Erosion and Sediment Transport
Spatially Distributed Model Inputs
Elevation (m)High : 3650
Low : 2900
Digital ElevationModel
Soils
Soil TypeWet Alluvial Land (Wa)
Gravel Pit (GP)
Rosane Loam (Rtc)
Troutville Gravelly Sandy Loam (TrE)
Perian Soi ls (PIF)
Water (Ponds) (W)
Newfork Gravelly Sandy Loam (NfB)
Perian Gravelly Sandy Loam (PgD)
Leadville Sandy Loam (LeE)
Mine Pits and Dumps (MP)
Slickens (mill taili ngs) (Sw)
Placer Diggings and Tailings (Pn)
Bross Gravelly Sandy Loam (BrF)
Tomichi Sandy Loam (ToE)
Low Densi ty Urban (Leadville Sandy Loam)
High Density Urban (Leadville Sandy Loam)
Commerical (Leadville Sandy Loam)
Land Use
Land UseOpen Water
Perennial Snow/Ice
Low Density Urban
High Density Urban
Commercial
Bare Rock/Sand
Deciduous Forest
Evergreen Forest
Mixed Forest
Shrubland
Grasslands/Herbaceous
Pasture/Hay
Row Crops
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TREX Schematic
–
Water depths from a rainfall event*
*1-in-100 year intensity, 2 hour duration uniform rainfall event.
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Event transport of sediment (TSS)*
*Transport is computed by grain size. Total solids shown.
CG1
0
50
100
150
200
250
300
0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08Flow (m3/s)
TSS
(mg/
L)
Simulated (June 12-13, 2003)
Simulated (Sept 5-8, 2003)
Observed (1984-2004)
Simulated vs. Observed TSS
CG4
0
200
400
600
800
1000
1200
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35
Flow (m3/s)
TSS
(mg/
L)
Simulated (June 12-13, 2003)Simulated (Sept 5-8, 2003)Observed (1984-2004)
CG6
0
50
100
150
200
250
300
350
400
450
500
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16Flow (m3/s)
TSS
(mg/
L)
Simulated (June 12-13, 2003)
Simulated (Sept 5-8, 2003)
Observed (1984-2004)
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California Gulch Watershed
Total Zinc Transport: June 12-13, 2005
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Simulated vs. Observed ZincCG1
0
5
10
15
20
25
30
35
0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08Flow (m3/s)
Tota
l Zn
(mg/
L)
Simulated (June 12-13, 2003)
Simulated (Sept 5-8, 2003)
Observed (1984-2004)
CG4
0
10
20
30
40
50
60
0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35Flow (m3/s)
Tota
l Zn
(mg/
L)
Simulated (June 12-13, 2003)
Simulated (Sept 5-8, 2003)
Observed (1984-2004)
CG6
0
10
20
30
40
50
60
0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16Flow (m3/s)
Tota
l Zn
(mg/
L)
Simulated (June 12-13, 2003)
Simulated (Sept 5-8, 2003)
Observed (1984-2004)
Total Zinc Transport: 1-in-100-yr Event
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Zinc Accumulation: 1-in-100-yr Event
CSU Watershed Model TREX
Flow Depth [ft] 100 yr StormSurface Water Depth [ft]
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Total rainfall of Typhoon Maemi from 9/8/2003 to 9/13/2003)
Mangun mountain, South Korea
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Annual average: 3,450 tons/km2/year.
Soil loss mapsTyphoon Maemi: 2,920 tons/km2/year.
Imha reservoir
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CASC2D-SED Modeling 2004
CONCLUSIONS
• TREX simulates the hydrologic response of watershed at resolutions of 30m.
• The model has been calibrated on several watersheds for water, sediment and metal fluxes.
• MPEG movies enhance the visualization of hydrologic processes including sediment and metals.
• The model is available on the web … for free!
TREX and CASC2D-SED Web Pages
At Colorado State UniversityUnder direction of Dr. Pierre Julien
Current manual, source code, example, MPEG movies
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Acknowledgments
Dr. Mark Velleux, CSU, now HydroqualDr. John England, CSU, also USBRDr. Rosalia Rojas, CSUHyeon Sik Kim, CSU, also KOWACOJames Halgren, PhD candidate at CSUSeema Shah-Fairbank, PhD candidate at CSU
CASC2D-SED Modeling 2004
MuchasGracias!
