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Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March 17, 2006
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Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

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Page 1: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX

Philip BedientRice University

CEE DepartmentHouston, Texas

March 17, 2006

Page 2: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Background of Floodplain StudiesFloodplain studies:

Provide Water surface profiles and floodplain maps for land development and impact statements caused by urbanizationInclude the analysis of historic floods for model calibrationFeature the computation of the water surface profile for at least the 1% annual chance (100-yr) floodUsually do not include solutions for the flood problem

Page 3: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

New Technologies for Floodplain Analysis

LIDAR and Radar provide accurate data sets for topography and storm eventsGIS Linked with new hydrologic models allows rapid ability to map resultsThe floodplains created can be overlain on aerial, land use, and public utilities maps to show potential impact

Page 4: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

ObjectivesThe models developed will be within a GIS framework for easy data

manipulation and integration.

Use a lumped parameter hydrological model, HEC-HMS, and a hydraulic river analysis system, HEC-RAS, to develop a floodplain based on existing land use and land classification, LIDAR, and both NEXRAD and design storm rainfall data.

Use the same hydrologic and hydraulic models to predict the impact of urbanization on the North Main Drain and Cameron County Drainage District 1 Watersheds

Develop and model feasible flood mitigation options to reduce the effects of flooding on North Main Drain and Cameron County Drainage District 1 watersheds.

Page 5: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Overview of Brownsville, TXBrownsville is a medium-sized city in the south of Texas, located just north of the Rio Grande.It is characterized by very flat slopes and clay-rich soils which make the area very susceptible to floodingAccording to the 2000 US Census, Brownsville’s population has grown from 99,000 to 140,000 since 1990

Page 6: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Overview of Brownsville, TXBrownsville has 4 watersheds

2 main drainage ditches: Cameron County Drainage District 1 Ditch – 23 mi2 North Main Drain – 10 mi2

2 resaca networks: Resaca de la Guerra – 5 mi2 Town Resaca – 6 mi2

Page 7: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

LIDAR and Watersheds

Page 8: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Why Accurate Floodplain Predictions are Important for Brownsville

Major events within the last 40 years have caused extensive flooding, a couple being larger than the 100-yr rainfall total of 11.7 inches within 24 hrs.Causes of flooding:

Slope and soil typeTopographic anomaliesRapid urbanizationUndersized drainage channels

  Storm Rainfall (inches)  

DATE TOTAL DAILY REMARKS

Sep-67 15.4 12.1 Hurricane Beulah

Aug-80 6.9 5.5 Hurricane Allen

Sep-84 15.2 7.9

Sep-88 5.4 4.7 Hurricane Gilbert

Oct-96 10.6 10.6 Tropical Storm Josephine

Page 9: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.
Page 10: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Overall MethodologyMETHODOLOGY

Page 11: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Methodology - LIDAR

LIDAR is Light Detection and Ranging and uses laser light reflection, GPS, and INSFlight Specs:

Flying Speeds: 200 – 250 km/hFlying Height: 300 – 1000 mScan Angles: 20 – 30 degPulse Rates: 2000 – 50,000 pulses/sec

Page 12: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Disadvantages of LIDARDisadvantages:

Accuracy depends on the accuracy of the GPS and INSProcessing the raw data is not exact

The digital terrain model is a regular surface which does not present remarkable discontinuities

The height of the points are independent of far points, but are correlated to points in the same surroundings

Page 13: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

USGS 30m DEM

Page 14: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

LIDAR DEM

Page 15: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Rainfall Data

Rainfall Duration

2-Year

10-Year

100-Year

1 hour 2 3.2 4.6

2 hours 2.68 4.08 5.9

3 hours 2.9 4.48 6.53

6 hours 3.3 5.42 8.25

12 hours 3.9 6.48 10

24 hours 4.6 7.475 11.75

NEXRAD TP-40 Design Storms

Page 16: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

HEC-HMS

Page 17: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

HEC-HMS Transforms

Model created by HEC-GeoHMS extension in ArcViewSimulates the runoff-precipitation response of a watershedBasin translation and attenuation represented by Clark Unit Hydrograph (TC&R)Flood wave attenuation in an open channel is modeled via the Modified Puls method (Storage – Discharge relationship depended on momentum and continuity equations)

Page 18: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

HEC-RAS

Cross Sections WSE Profiles

Page 19: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.
Page 20: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

HECRAS Bridge CS

Page 21: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

HEC RAS Input Window

Page 22: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Multiple Cross Sections

River

Bridge

Page 23: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.
Page 24: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

HEC RAS Profile Plots

Page 25: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

3-D Floodplain

Page 26: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Output Table

Page 27: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Extracting Cross Sections

Geo-RAS ExtensionElevations extracted from LIDAR by cross section shapefilesCross sections, streamlines, flowpaths, are exported from ArcView into HEC-RAS

Page 28: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

HEC-RAS and HEC-HMS IterationsStorage/Outflow calculated based oninputted flows and channel geometry

Rating Curves developed based onCalculated storage/outflow

Rating Curve inputted intoHEC-HMS Modified Puls

Page 29: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Floodplain Delineation Based on Land Use

Used current and future Land Use and Land Classification for impervious values, % developed, and roughness coefficientsUsed the 2, 5, 10, 25, 50, and 100-yr design storms for BrownsvilleCalibrated the models with the May 7, 2004 rainfall data from NEXRAD

Page 30: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Floodplain Analysis - Houses

Page 31: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

CalibrationUsed the May 7, 2004 storm for calibration:

8.41 inches in 34 hoursModeled between a 2- and 5-yr stormObserved high water marks:

Paredes Ln Rd: 20.53 ft Old Port Isabel: 16.93 ft

Modeled high water marks: Paredels Ln Rd: 20 ft (3%) Old Port Isabel: 16.75 ft (1%)

Page 32: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Flood Mitigation OptionsDetention/Retention Ponds

With controlling inlet and outlet structure

DiversionsChannel Modifications/Improvements

Channel MaintenanceChannel Widening and Lining

Hydraulic Structure ImprovementsImproving CulvertsElevating Bridges

PumpingBuyoutsDevelopment Controls

Page 33: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Option A: Construction of 12 detention ponds and the improvement of a hydraulic structure

Option B: Option A plus a channel improvement from Paredes Ln Road to FM 802

Option C: Option B plus an extend channel improvement to the end of the watershed and the elevation of two bridges

Page 34: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Existing Conditions

100-yr

Page 35: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Existing Conditions Option A 100-yr

Page 36: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Existing Conditions Option B 100-yr

Page 37: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Existing Conditions Option C 100-yr

Page 38: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Flood Mitigation Results

5

10

15

20

25

30

0102030405060

Thousands

Distance from Outlet (ft)

Water Surface Elevation (ft)

Existing

Option A

Option B

Option C

100-yr Existing Dev WSE alternative comparison for CCDD1

Page 39: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Full Development Conditions 100-yr

Page 40: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Full Dev. Conditions Option A 100-yr

Page 41: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Full Dev. Conditions Option B 100-yr

Page 42: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Full Dev. Conditions Option C 100-yr

Page 43: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

10

12

14

16

18

20

22

24

26

28

30

0102030405060

Thousands

Distance from Outlet (ft)

Water Surface Elevation (ft)

Existing

Option A

Option B

Option C

Flood Mitigation Results

100-yr Full Dev WSE alternative comparison for CCDD1

Page 44: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Conclusions - ObjectivesCreating a flood study within a GIS framework allows for easy manipulation of the data and models.Using a lumped parameter hydrological model (HEC-HMS) in conjunction with a river analysis system (HEC-RAS) can accurately predict floodplainsThe use of a high resolution DEM (LIDAR) provides accurate floodplain prediction with little calibration.The models allowed easy flood analysis to determine feasible mitigation options for the area

Page 45: Hydrologic Models for Urban Floodplain Mapping and Damage Reduction in Brownsville, TX Philip Bedient Rice University CEE Department Houston, Texas March.

Conclusions – Flood AnalysisThe topography, soil, and rapid development of Brownsville makes the area susceptible to flooding for even small storm events.Option C for the CCDD1 ditch provides protection from the 100-yr storm for existing and future developmentStream and rain gages are needed for better model validation. Restrict the amount of allowable discharge into the drainage systems from future developments