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Presented by
George Doubleday1
•What is The Woodlands
•Purpose of this Research
•Build and Calibrate VfloTM model for The Woodlands
•Compare storms with different development scenarios
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Master planned community north of Houston, TX Idealized by George Mitchell
Minimize impact of urbanization on hydrology
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Founded in 1974
Over 97,000 residents
today
160 miles hike and bike
trails
6,000 acres of green
space
Source: www.thewoodlands.com
4
I 45
“LID enhances our ability to protect surface and ground water quality, maintain the integrity of aquatic living resources and ecosystems, and preserve the physical integrity of receiving streams.” Department of Natural Resources – Maryland
Utilize stormwater control practices throughout an urban watershed
Aim to preserve the pre-development hydrology while allowing for beneficial human use
“LID is a comprehensive technology-based approach to managing urban stormwater” DNR - Maryland
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Use hydrologic model, VfloTM, to demonstrate The Woodlands as a premier example for stormwater management
Compare stormwater outflows from different development scenarios Undeveloped 2006 Development Highly Urbanized
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GIS Pre-processing
Input data into VfloTM
Calibrate to observed data
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Fully distributed physics-based hydrologic model Variability of runoff controlling factors Soil properties, land use/cover, elevation data
Infiltration calculated by Green and Ampt Equation
Runoff is routed from grid cell to grid cell Finite Elements method Kinematic Wave Analogy
Rainfall input can be rain gage data or radar rainfall
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Developed by Vieux, Inc.
Land Use
Soils
DEM
VfloTM
Model 9
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Overland
Direction
Channel
Flow Characteristic
s
Infiltration Excess
Calculated at Each Cell Rainfall Rate
Infiltration Rate
Runon From Upslope
Whooo!!
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Created storage-elevation relationships with GIS
Rating curves developed with spillway equation(3/2)H 2gCb
3
2=Q
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Ordered NEXRAD-Radar Rainfall data April 2009 event and Hurricane Ike Calibrated model at Sawdust Rd. (USGS
gage 08068450)
Calibration adjustments: channel cell and overland cell roughness▪ Mostly effected timing and peak flows
Initial saturation Hydraulic conductivity
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4% volume difference
3% peak flow difference
2.3 hr time to peak difference
8,000 cfs peak
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16% volume difference
37% peak flow difference
0 hr time to peak difference
3500 cfs peak
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Even with no losses the peak flow is under-predicted
Conclude that the Radar Rainfall does not accurately represent entire event
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Five historical storm events
1979 USEPA study on The Woodlands
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1983 USGS LandSat image to verify pre-development land use type
Manning’s roughness value for forest and woody wetland vegetation Initially set n = 0.094
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Undeveloped model matches observed historical flows
Channel n = 0.032Overland n = 0.066
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2006 development causes about 100-200 cfs increase in peak flow
Some shift in timing
Design of The Woodlands effectively mitigates the impact of development on hydrology
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Existing Cypress Creek VfloTM model used to average roughness and impervious values for Houston highly urbanized areas n = 0.024 Imperviousness = 27%
Added roughness of 0.015 for all channel cells to represent a hypothetical concrete channel network
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Replace with this…
Channel n = 0.015 Overland n = 0.024
Drastic change in timing and peak flow
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Peak Flow Comparisons (cfs)
Undeveloped
2006 Development
(% diff.)
Intense Development
(% diff.)
10/28/1974 375 573 (53%) 1543 (312%)
11/10/1974 825 952 (15%) 3301 (300%)
11/24/1974 755 807 (7%) 2102 (178%)
12/10/1974 500 491 (2%) -
Hurricane Ike 6112 8119 (33%) 17017 (178%)
Avg. Diff. - 22% 242%
Time to Peak Comparisons (hrs)
Undeveloped
2006 Development
(∆ hrs)
Intense Development
(∆ hrs)
10/28/1974 20 14.67 (5) 7.5 (12.5)
11/10/1974 15 5.0 (10) 2.8 (12)
11/24/1974 26 13.3 (13) 5.5 (21)
12/10/1974 27.3 5.33 (22) -
Hurricane Ike 16.8 5.66 (11) 1.5 (15)
Avg. Diff. - 12.5 hrs 15.1 hrs
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Can VfloTM accurately predict stormwater runoff from small sub-areas within the watershed? Select small sub-areas within the
calibrated model of The Woodlands ▪ 10 – 200 acres in size
Compare to peak flows calculated from the Rational Method
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