ce 374 k – hydrology - university of texas at austin dt de = − • conservation of mass – mass...

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CE 374 K – Hydrology Systems and Continuity Daene C. McKinney

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Page 1: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

CE 374 K – Hydrology

Systems and Continuity

Daene C. McKinney

Page 2: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

DecisionSupportSystem

Data Measurement

Precipitation, Temperature, Humidity, StreamflowWater Quality, Groundwater, Snow pack,

Evapotranspiration

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Data Processing &

Archiving

Data baseData modelData display

Analysis

Rainfall/runoff, Flooding, Hydraulics, Water Allocation,

Water Pollution, Environmental Flows

Decision Making

MCDMOperating rulesExpert systemOptimization, WarningsRisk management, Dispute Resolution

Decision Implementation

Infrastructure control, Institutional policies & incentivesWarnings, Alarms

River Basin Management

Page 3: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Water Resources Planning and Management

• Identification, formulation and analysis of projects and designs

• Based on scientific, legal, ethical, economic, …, concepts• Problems Considered

– Municipal and industrial supply– Irrigation– Flood control– Hydroelectric power– Navigation– Water quality– Recreation– Fisheries– Drainage & sediment control– Preservation and enhancement of natural water areas,

ecological diversity, archeology, etc

Page 4: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Water Resource Systems Analysis

• Water resources problems are– Complex, interconnected, and overlapping– Involving water allocations, economic development, and

environmental preservation

• Systems analysis– Break complex system down into components and analyze

the interactions between the components– Central method used in water resources planning

Page 5: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

System

Inputs, I Outputs, Q

Parameters, β

Policies or controls, α

Transformation function

Q(t) = Ω(α, β) * I(t)

Some Systems:WatershedAquiferDevelopment AreaDetention Basin

Page 6: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

System Transformation Function

• Mathematical model• Typically a set of algebraic equations • Derived from differential equations of

– Conservation of Mass (e.g., continuity)– Conservation of Momentum (e.g., Manning)– Conservation of Energy (e.g., friction loss)

Q(t) = Ω(α, β) * I(t)

Page 7: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

System Characteristics

• Linear vs nonlinear– Linear - superposition is valid

• If I1 Q1 and I2 Q2

• Then I1 +I2 Q1 + Q2

• Lumped vs distributed parameter (spatially varying)

• Steady-state vs transient (time dependent)• Deterministic vs stochastic (random)

Page 8: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Atmospheric Moisture

Interception

Snowpack

Surface

Soil Moisture

Groundwater

Streams and Lakes

Runoff

RainSnow

Evaporation

Evapotranspiration

Evaporation

Throughfall and Stem Flow

Snowmelt

Infiltration

Overland Flow

Percolation

Groundwater Flow

Channel Flow

Pervious ImperviousWatershedBoundary

Energy

Page 9: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Hydrologic Processes(Precipitation, Evaporation, Infiltration, Runoff)

• Transform the distribution of water in the hydrologic cycle

• Governed by fundamental conservation principles

• Reynold’s Transport Theorem allows us to derive these fundamental principles

Atmospheric Moisture

Interception

Snowpack

Surface

Soil Moisture

Groundwater

Streams and Lakes

Runoff

RainSnow

Evaporation

Evapotranspiration

Evaporation

Throughfall and Stem Flow

Snowmelt

Infiltration

Overland Flow

Percolation

Groundwater Flow

Channel Flow

Pervious ImperviousWatershedBoundary

Energy

Atmospheric Moisture

Interception

Snowpack

Surface

Soil Moisture

Groundwater

Streams and Lakes

Runoff

RainSnow

Evaporation

Evapotranspiration

Evaporation

Throughfall and Stem Flow

Snowmelt

Infiltration

Overland Flow

Percolation

Groundwater Flow

Channel Flow

Pervious ImperviousWatershedBoundary

Energy

Page 10: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Systems• Laws of Mechanics

– Written for systems– System = arbitrary quantity

of mass of fixed identity– Fixed quantity of mass, m

0=dtdm

dtmd )( VFr

r= dt

dWdtdQ

dtdE

−=

• Conservation of Mass

– Mass is conserved and does not change

• Momentum– If surroundings

exert force on system, mass will accelerate

• Energy– If heat is added

to system or work is done by system, energy will change

Page 11: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Control Volumes

• Solid Mechanics– Follow the system,

determine what happens to it

• Fluid Mechanics– Consider the behavior in a

specific region or Control Volume

• Convert System approach to CV approach– Look at specific regions,

rather than specific masses• Reynolds Transport

Theorem– Relates time derivative of

system properties to rate of change of property in CV

)(extensiveenergymomentum,mass,=

∫ ∀=∫=CVCV

ddmB βρβ

)(intensivemassunitperofamount BdmdB

=

Page 12: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Reynolds Transport Theorem

( ) ( )

( ) ( ) ( ) ( )t

BBt

BBt

BBBBdtdB

tIttIIItIIttIIt

tIIIttIIIIIt

Δ−

+Δ−

=

Δ+−+

=

Δ+Δ+→Δ

Δ+→Δ

0

0

lim

lim

I II III

∫∫ ⋅+∫∫∫ ∀=CSCV

dddtd

dtdB AV

rrβρβρ

Page 13: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Continuity Equation(Conservation of Mass)

∫∫ ⋅+∫∫∫ ∀=CSCV

dddtd

dtdB AV

rrβρβρ

1system; theof mass === dmdMMB β

∫∫ ⋅+∫∫∫ ∀=CSCV

dddtd AV

rrρρ0

constantif =ρ

0=∫∫ ⋅+∫∫∫ ∀CSCV

dddtd AV

rr

)()( tQtIdtdS

−=

0)()( =−+ tItQdtdS

Inflow – Outflow = Change in Storage

Page 14: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Discrete Time Continuity

)()( tQtIdtdS

−=

dttQdttIdS )()( −=

∫−∫=∫Δ

Δ−

Δ

Δ−−

tj

tj

tj

tj

S

SdttQdttIdS

j

j )1()1()()(

1

jjjj QISS −=− −1

jjjj QISS −+= −1Volume of water in storage at the end of the next time period Δt, Sj, equals the volume in storage at the beginning of that period, Sj-1, plus the volume of inflow, Ij-1, minus the volume of outflow, Qj-1

),(termeachofUnits333

sft

sm

TL

=

),(termeachofUnits 333 ftmL=

Page 15: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Shoal Creek Flood Memorial Day 1981

• Normal flow = 90 gpm• Storm peak = 6.5 million gpm• 13 lives lost

Page 16: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Shoal Creek Flood Memorial Day 1981

• 6.31 in. of rain fell uniformly over 7.03 sq. mi.• What was the equivalent volume of water?

( )

hours 8in gallonsmillion 770gal921,908,770

gal/ft48052.7*ft525,055,103

ft/mi5280*mi03.7*in12ft1*in31.6

33

22

==

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0

Time (hr)

Runo

ff (c

fs)

0

1

2

3

Prec

ip (i

n)

Page 17: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

Example – Shoal Creek• Given:

– Incremental precipitation over the watershed, pulse– Streamflow measured at the outlet, continuous

• Find: Storage as function of time

• Convert streamflow to pulse data

• Average streamflow over time interval

• Equivalent depth over the watershed

• Continuity Eq. ( )∑ −+==

j

iiij QISS

10

hour21

=Δt

( ) tQQ ii Δ+ +121

( ) tQQA ii Δ+ +12

11

111200010 ;;0 QISSQISSS −+=−+==

Page 18: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0

Time (hr)

Run

off (

cfs)

0

1

2

3

Prec

ip (i

n)

Shoal Creek Flood

Time Time Incremental Instantaneous Incremental Incremental Cumulative Interval Precip Streamflow Streamflow Storage Storage

j t Ij Q(t) Qj ΔSj Sj

hr in cfs in in in0.0 0 203 0.00

1 0.5 0.15 246 0.02 0.13 0.132 1.0 0.26 283 0.03 0.23 0.363 1.5 1.33 828 0.06 1.27 1.624 2.0 2.20 2323 0.17 2.03 3.655 2.5 2.08 5697 0.44 1.64 5.296 3.0 0.20 9531 0.84 -0.64 4.657 3.5 0.09 11025 1.13 -1.04 3.618 4.0 0.00 8234 1.06 -1.06 2.559 4.5 0.00 4321 0.69 -0.69 1.85

10 5.0 0.00 2246 0.36 -0.36 1.4911 5.5 0.00 1802 0.22 -0.22 1.2712 6.0 0.00 1230 0.17 -0.17 1.1013 6.5 0.00 713 0.11 -0.11 1.0014 7.0 0.00 394 0.06 -0.06 0.9315 7.5 0.00 354 0.04 -0.04 0.8916 8.0 0.00 303 0.04 -0.04 0.86

6.31

01 SSS −=Δ

1I 1Q

1112 QISS −+=

( )∑ −+==

j

iiij QISS

10

Page 19: CE 374 K – Hydrology - University of Texas at Austin dt dE = − • Conservation of Mass – Mass is conserved and does not change • Momentum – If surroundings ... dS I t dt

0.0

0.5

1.0

1.5

2.0

2.5

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0

Streamflow (in)Precip (in)

Shoal Creek Flood

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

2.0

2.5

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0

Change in Storage (in)

0.0

1.0

2.0

3.0

4.0

5.0

6.0

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0

Storage (in)

Shoal Creek at Northwest Park, Austin, Texas, May 24-25, 1981Area= 7.03 mi2 195985152

Time Time Incremental Instantaneous Incremental Incremental Cumulative Interval Precip Streamflow Streamflow Storage Storage

j t Ij Q(t) Qj ΔSj Sj

hr in cfs in in in0.0 0 203 0.00

1 0.5 0.15 246 0.02 0.13 0.132 1.0 0.26 283 0.03 0.23 0.363 1.5 1.33 828 0.06 1.27 1.624 2.0 2.20 2323 0.17 2.03 3.655 2.5 2.08 5697 0.44 1.64 5.296 3.0 0.20 9531 0.84 -0.64 4.657 3.5 0.09 11025 1.13 -1.04 3.618 4.0 0.00 8234 1.06 -1.06 2.559 4.5 0.00 4321 0.69 -0.69 1.85

10 5.0 0.00 2246 0.36 -0.36 1.4911 5.5 0.00 1802 0.22 -0.22 1.2712 6.0 0.00 1230 0.17 -0.17 1.1013 6.5 0.00 713 0.11 -0.11 1.0014 7.0 0.00 394 0.06 -0.06 0.9315 7.5 0.00 354 0.04 -0.04 0.8916 8.0 0.00 303 0.04 -0.04 0.86

6.31