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Integrating Water Resources Engineeringand

Geographic Information Systems (GIS)

National Weather ServiceNational Weather Service

NWSRFS International WorkshopNWSRFS International Workshop

October 21-23, 2003October 21-23, 2003

Kansas City, MissouriKansas City, Missouri

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Introductions…

David Preusch, P.E. (Manager, Water Resources, Alexandria, VA)

Michael Baker Jr., Inc.

3601 Eisenhower Avenue

Alexandria, VA 22304

dpreusch@mbakercorp.com

(703) 317-6252

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About Baker

• Founded in 1940

• Employee Owned Company

• Two core businesses: Engineering and Energy

• Headquartered in Pittsburgh, PA

• 4,200 employees in 30+ offices around the world

• Consistently ranked in the top 10% of Professional Design Service Firms

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Baker’s National Flood Hazard Analysis and Mapping Services for FEMA

• Engineering, hydrology & hydraulics, floodplain studies, and floodplain mapping services for FEMA since 1985.

• Helped develop standards and regulations for National Flood Insurance Program

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Combining 3-D smart maps that contain hidden information about planimetric features to analyze spatially distributed data

What is Geographic Information Systems (GIS) or

Geospatial Information Technology (GIT)?

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Example

Smart Map 1 = Floodplain Map containing the horizontally controlled extent of the floodplain

Smart Map 2 = Plat map containing location of structures and the their value

Combined in a GIS– Tells you how many houses are in the floodplain and the value of the structures at risk

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INTEGRATING GIS WITH WATERSHED MODELING

Water Resources Division

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RAINFALL-RUNOFF PROCESS

RUNOFF

INFILTRATION f (Land Use, Soil Types)

WATERSHED BOUNDARY

HYDROGRAPH f (Drainage Area, tc,

Rainfall)

Q

T

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The terrain data can viewed from any perspective.

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Images can be draped over the terrain data.

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Subbasin boundaries are delineated by simply designating outlets along the stream network anywhere within the watershed.

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The area outside ofthe watershed is removed.

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Land use data can be digitized from the orthophotos or imported in several common GIS formats.

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GIS soils data can be obtained from the National ResourcesConservation Service (NRCS), formerly SCS.

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Composite Runoff Curve Numbers for each basin are automatically computed utilizing the land use and soils data.

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NEXRAD data from historic rainfall events can be imported and used to calibrate the rainfall-runoff model

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Hydrologic output graphics allow the user toquickly visualized the modeling results.

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INTEGRATING GIS WITH HYDRAULIC MODELING

Water Resources Division

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Different aerial view of the stream valleyDifferent aerial view of the stream valley

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A DEM or TIN is used for the topographyA DEM or TIN is used for the topography

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The left and right overbank flow paths are digitizedThe left and right overbank flow paths are digitized

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Centerline, channel banks, and overbank flow paths brought onto TINCenterline, channel banks, and overbank flow paths brought onto TIN

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Remaining cross sections “cut”. Now distances between cross sections

are calculated along the centerline and in the left and right overbanks.

Remaining cross sections “cut”. Now distances between cross sections

are calculated along the centerline and in the left and right overbanks.

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HEC-RAS calculates water surface profileHEC-RAS calculates water surface profile

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Water surface intersected with TIN yields floodplain boundariesWater surface intersected with TIN yields floodplain boundaries

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Floodplain on TINFloodplain on TIN

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Aerial view of flooded stream valleyAerial view of flooded stream valley

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INTEGRATING H&H RESULTS WITH OTHER

DATA USING GIS TOOLS

Water Resources Division

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Sample data set – Napa Valley TIN & site aerial DOQQ

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Sample data set – Contour development in ArcView

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Sample data set – Migrating GIS data to HEC-RAS

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Sample data set – Development of HEC-RAS model

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Sample data set – 1-D hydraulic solution

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Sample data set – Exporting HEC-RAS solutions to ArcView

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Sample house data set – Napa Valley

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Excel expansion of GIS shapefile table

damage $237,349 $298,275cases 18 23

HOUSES_27_Address Simulation Cost GROUND_ELETIME_2 Boolean Damage $ TIME_31 3213 BROWNS VALLEY RD $235,463 31 0.00 0 $0 0.00 0 $02 3211 BROWNS VALLEY RD $248,745 29 0.00 0 $0 0.00 0 $03 3207 BROWNS VALLEY RD $242,855 29 0.00 0 $0 0.28 1 $12,5314 3205 BROWNS VALLEY RD $245,002 27 0.27 1 $12,642 1.26 1 $12,6425 3174 VALLEY GREEN LN $225,259 28 1.45 1 $11,623 2.17 1 $11,6236 3201 BROWNS VALLEY RD $221,339 26 0.84 1 $11,421 1.94 1 $11,4217 3136 VALLEY GREEN LN $293,656 27 0.22 1 $15,153 1.54 1 $15,1538 3141 BROWNS VALLEY RD $269,412 35 0.00 0 $0 0.00 0 $09 3142 VALLEY GREEN LN $283,349 26 0.39 1 $14,621 1.64 1 $14,621

10 3146 VALLEY GREEN LN $290,886 26 1.50 1 $15,010 2.67 1 $15,01011 3140 VALLEY GREEN LN $273,639 26 0.00 0 $0 1.20 1 $14,12012 3162 VALLEY GREEN LN $219,004 27 1.33 1 $11,301 2.32 1 $11,30113 3144 VALLEY GREEN LN $200,929 26 0.80 1 $10,368 2.00 1 $10,36814 3160 VALLEY GREEN LN $216,916 27 0.00 0 $0 0.68 1 $11,19315 3150 VALLEY GREEN LN $284,533 26 0.94 1 $14,682 2.03 1 $14,68216 3154 VALLEY GREEN LN $203,644 27 0.42 1 $10,508 1.43 1 $10,50817 3152 VALLEY GREEN LN $241,757 26 0.53 1 $12,475 1.58 1 $12,47518 3158 VALLEY GREEN LN $287,873 27 0.44 1 $14,854 1.44 1 $14,85419 3156 VALLEY GREEN LN $263,666 26 1.24 1 $13,605 2.23 1 $13,60520 3148 VALLEY GREEN LN $272,292 26 0.97 1 $14,050 2.10 1 $14,05021 3172 VALLEY GREEN LN $263,152 28 0.30 1 $13,579 1.23 1 $13,57922 3166 VALLEY GREEN LN $266,604 27 0.68 1 $13,757 1.67 1 $13,75723 3170 VALLEY GREEN LN $256,989 27 0.59 1 $13,261 1.57 1 $13,26124 3168 VALLEY GREEN LN $279,856 27 0.74 1 $14,441 1.72 1 $14,441

Total

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Target site prior to start of storm event

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Sample data set - 1st time step

No. Houses damaged: 18

Total damage: $237,349

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Sample data set – 2nd time step

No. houses damaged: 23

Total damage: $298,275

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Sample data set – 3rd time step

No. houses damaged: 29

Total damage: $376,517

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Sample data set – 4th time step

No. houses damaged: 36

Total damage: $460,957

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Sample data set – 5th time step

No. houses damaged: 41

Total damage:$518,490

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Sample data set – 6th time step

No. houses damaged: 44

Total damage: $559,249

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Sample data set – 7th time step

No. houses damaged: 50

Total damage: $638,018

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Sample data set – 8th time step - Peak discharge

No. houses damaged: 52

Total damage: $665,099

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QUESTIONS??