govardhan.pdf
TRANSCRIPT
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Basic Fluid Mechanics
for Geologists
Training Course on Fluid Physicsin Geological Environments Jointly Organized
by C-MMACS and JNCASR, BangaloreJanuary 19 - 23, 2004
Raghuraman N. Govardhan
Mechanical EngineeringIndian Institute of Science, Bangalore
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Outline of Lecture
• Fundamental concepts & Fluid Statics
- Fluid definition, Continuum, description and classification of fluid
motions, viscosity and other basics, Fluid statics in incompressibleand compressible fluids
• Governing equations for fluid flow &
Applications
- Integral & differential form of the governing equations, Pipe flow,
friction losses, flow measurement & Rainfall-run-off modelling
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Fundamental concepts
- Definition of a fluid
- Continuum
- Velocity field (streamlines)
- Thermodynamic properties (p, T, ρ)
- Viscosity
- Reynolds number
- Non-Newtonian fluids
Fluid Statics
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What is a fluid ?
Definitions of fluid on the Web:
• Any substance that FLOWs, such as a liquid or gas.
• A substance that is either a liquid or a gas
• Fluids differ from solids in that they cannot resist changes intheir shape when acted upon by a force.
• Anything that flows, either liquid or gas. Some solids can alsoexhibit fluid behavior over time.
• any substance that cannot maintain its own shape
Not directly relevant:
• in cash or easily convertible to cash; "liquid (or fluid) assets"
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Fluid – Solid : Distinction
Reaction to an applied shear
SOLID
FLUID
F
F
θθθθ(t)
F
F
θθθθ
flow
Static deformation
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Fluid Definition
A fluid cannot resist a shear stressby a static deformation.
Fluid includes Liquids and Gases –
Distinction between the two comes from the effect ofcohesive molecular forces.
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Fluid as a Continuum
Before defining Fluid property like density, pressure at a “point” :
Note:
- Fluids are aggregations of molecules
- Moving freely relative to each other (unlike a solid)
Fluid density : mass / unit volume depends on elementalvolume
!! "
#$$%
& = →
V
mV V
δ
δ ρ δ δ *lim
*V
*V
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Density at a “point”
*V
*V 3910* mmV −≈δ
ρ
Microscopicuncertainty
Macroscopicuncertainty
!! "
#$$%
& V
m
δ
δ
!! "
#$$%
& = →
V mV V
δ δ ρ δ δ *lim
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Density field
Most problems are concerned with physical
dimensions much larger than this limitingvolume
So density is essentially a point function andcan be thought of as a continuum
),,,( t z y x ρ ρ =
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Velocity field
Perhaps the most importantproperty in a flow is the
velocity vector field:
),,,( t z y xV V =
wk v jui ˆˆ ++=
u, v, w are f(x,y,z,t)
(taken from www.amtec.com)
Eulerian representation
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Velocity field
Lagrangian representation
Flow quantities are heredefined as functions of timeand the choice of a materialelement of fluid
),( t aV V =
awhere = location of fluid particle at t=0
Lagrangian specification describes the dynamical history of the selected fluid element
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Material derivative
4 ρ
Density variation following a fluid particle
31 ρ 2 ρ
Convectivederivative
Localderivative
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Streamline
Visual representation of a velocity or flow field: Streamlines
Streamlines are lines drawn in the flow field so that at a given instant
they are tangent to the velocity vector at every point in the flow.
Local velocity vector
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Thermodynamic properties
- Pressure (p)- Density (ρ)
- Temperature (T)
When work, heat and energy balances are treated
- Internal energy (e)
- Enthalpy (h = u + p/ρ)- Entropy (s)- Specfic heats (Cp & Cv)
Transport properties
- Viscosity (µ)- Thermal conductivity (k)
All these are functions of (x,y,z,t)
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Viscosity
Shear stress causes continuous shear deformation in a fluid.
Newtonian fluid
show a linear relation between applied shear (ττττ) and resultingstrain rate (dθ /dt)
τ ∝∝∝∝ (dθ /dt)
τ = µµµµ (dθ /dt) τ = µµµµ (du/dy)
µ = viscosity coefficient
ττττ
ττττ
θθθθ(t) u
u + du
dy
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Newtonian fluid
Viscosity coefficient (µ)
Kinematic viscosity ( ν) = µ /ρ
µ kg/(m s) ν kg/(m s)
Air: 1.8 x 10-5 1.5 x 10-5
Water: 1.0 x 10-3 1.0 x 10-6
Newtonian fluid (µ) depends on (T, P)
• Generally variation with pressure is weak
less than 10% for 50 times increase in P for air
• Temperature has a strong effect
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Factors affecting viscosity
LI QU I D S
• decreases with increasing
temperature, since theinteratomic forces weaken
• increases under very highpressures.
GASES
• increases with increasingtemperature, since the rate ofinteratomic collisions increases
and
• is typically independent ofpressure and density.
( ) ( )2
00
0ln T T cT T ba ++=!! "
#
$$%
&
µ
µ
7.0
00!! "
#$$%
& =!!
"
#$$%
&
T
T
µ µ
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Effect of temperature on viscosity
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Non-Newtonian fluids
Do not follow linear relationship between applied shear(ττττ) and resulting strain rate (dθ /dt)
ττττ
(dθ /dt)
Newtonian
Pseudoplastic
Dilatant
Bingham Plastic
Yieldstress
Plastic
Rheology
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Magma Viscosity
Magmatic liquid viscosity depends on:
composition (especially Si), temperature,time and pressure, each of which effectthe melt structure.
It is possible to estimate the viscosity of a magmaticliquid at temperatures well above liquidustemperatures (that is, temperatures at which onlyliquid is present) from chemical compositions andempirical extrapolation of experimental data. Therange of temperatures of naturally flowing magmas,however, is near or within the crystallizationinterval, where stress-strain relationships are notlinear (that is, they are crystal-liquid mixtures andshow Bingham behavior). Under such conditions,the only way to predict viscosities is by analogy withsimilar compositions investigated experimentally.
Information source and for further reading:http://www.geo.ua.edu/volcanology/lecture_notes_files/controls_on_magma_viscos.html
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Magma viscosity
Silica composition
The strong dependence of viscosity of molten
silicateson Si content can be illustrated by those of
various Na-Si-O compounds:
0.24:1:4
1.52:1:3
281:1:2.5
10100:1:2
(poise) Na:Si:O
The decrease in viscosity can be attributed to a reduction
in the proportion of framework silica tetrahedral, and
therefore strong Si-O bonds in the magma.
Temperature
Temperatures of erupting magmas normally fallbetween 700° and 1200°C; lower values, observed in partly
crystallized lavas, probably correspond to the limiting conditions under which magmas flow. Magmas do not
crystallize instantaneously, but over an interval of temperature.
Temperature has a strong influence on viscosity: as temperature increases viscosity decreases, an effect particularly
evident in the behavior of lava flows. As lavas flow away from their source or vent, they lose heat by radiation and
conduction, so that their viscosity steadily increases.For example:
a) measured viscosity of a Mauna Loa flowincreased 2-fold over a 12-mile distance from vent;
b) measured viscosity of a small flow fromMt. Etna increased 375-fold in a distance of about 1500 feet.
The decrease in viscosity can be attributed toan increase in distance between cations and anions, and therefore, a decreasein Si-O bond
strength.
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Magma viscosity
Time
At temperatures below the beginning of crystallization viscosity also increases with time. If magma is
undisturbed at a constant temperature, its viscosity may continue to increase for many hours before it reaches asteady value. The viscosity increases with time results partly an increasing proportion of crystals (which raise the
effective magma viscosityby their interference in melt flow), and partly from increasing orderingand
polymerizing (linking) of the framework tetrahedra.
Pressure
The effect of pressure is relatively unknown, but viscosity appears to decrease with increasing
pressure at least at temperatures above the liquidus. As pressure increases at constant temperature,
the rate at which viscosity decreases is less in basaltic magma than that in andesitic magma. The
viscosity decrease may be related to a change in the coordination number of Al from 4 to 6 in the
melt, thereby reducing the number of framework-forming tetrahedra.
• Bubble content
• Crystal content
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Fluid density
Liquids
Water ~ 1000 kg/m3
- Density in liquids is nearly constant- water density increases by 1% if the pressure is increased by a factor of 220 !- for a temperature increase of 100 K, density decreases by 5%
- Magma - Magma densities range from about 2200 kg/m3 to 2800 kg/m3, illustrating a
close density-melt composition relationship.Magma density decreases with increasing temperature and gas content. These densitiesincrease a few percent between liquid and crystalline states.
Gases
Air ~ 1.2 kg/m3
- Density is highly variable
- ideal gas law : p = ρRT (perfect gas law)
- real gas: at low temperatures & high pressure – intermolecular forcesbecome important
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Reynolds number
Dimensionless parameter correlating viscous behaviour
forcesViscous forces Inertial =
Low Re:
- Viscous forces dominate- Flow is “Laminar”
- flow structure is characterized by smooth motion in laminae or layers
High Re:
- Viscous forces are very small- Flow is “Turbulent”
- flow structure is characterized by random three-dimensional motions
of fluid particles
ν µ ρ VLVL ==Re
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Low & High Reynolds number
Low Re
Viscous
Laminar
High Re
Inertial
Turbulent
ν µ
VLVL==Re
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Reynolds pipe experiment
Laminar
Transition : Re ~ 2000
Turbulent
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Low & High Reynolds number
Low ReViscous
Laminar
High ReInertial
Turbulent
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Classification of flows
Continuum
Fluid Mechanics
Inviscid
µ = 0
Turbulent
High Re
Laminar
Low Re
Viscous
Compressible Incompressible
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Fluid statics
Fluids by definition cannot resist shear ' in fluids at rest there can be no shear
Only stresses are normal pressure forces
Net force in x-direction
dz dy p
z
x
y
dz dydx x
pdF x
∂
∂−=
dz dydx x
p p )( ∂
∂+
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Hydrostatic equation
dz dydx z
pk
y
p j
x
pi F d pressure !!
"
#$$%
&
∂
∂+
∂
∂+
∂
∂−= ˆˆˆ
( ) pdz dydx
F d f d
pressure
pressure ∇−==
g f d gravity ρ =
For equilibrium the pressure gradient force has to be balanced by the body forces
(like gravity)
per unit volume
0=+ pressure gravity f d f d
g p ρ =∇
g z
p ρ −=
∂
∂0=
∂
∂
y
p0=
∂
∂
x
p
z g p ∆−=∆if in co m p r e s si b le , ρ=constant, then
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Atmosphere
For the purpose of calculating the pressure and density of the atmosphere, we can
regard air as a perfect gas obeying the perfect gas law equation. Substituting the
perfect gas law into the differential equation of force balance, and integrating, we find an
expression for the pressure:
where p0 is the atmospheric pressure at the earth's surface, z=0. The density ρ may befound readily by dividing equation by RT(z).
Note that the atmospheric absolute temperature T(z) must be known as a function
of altitude in order to evaluate the integral.
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Atmosphere
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Fluid statics - atmosphere
Can determine pressure, density as functions of altitude from the “hydrostatic equation”.
I n t e r n a t i o n a l St a n d a r d A t m o sp h e r e
Created by ICAO (International Civil Aviation Organization)
The ISA is a "model" of the atmosphere, designed to allow for standardized comparisonof conditions on a given day.
Based on the International Standard Atmosphere:for dry air (ICAO 1964):
1. At mean sea level pressure=101325 Pa, temp=15 deg C
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Atmosphere - pressure
Linearly varying temperature
Constant temperature region
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Standard Atmosphere
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SECOND SESSION
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Outline of Lecture
• Fundamental concepts & Fluid Statics
- Fluid definition, Continuum, description and classification offluid motions, viscosity and other basics, Fluid statics inincompressible and compressible fluids
• Governing equations for fluid flow &Applications
- Integral & differential form of the governing equations,
- Pipe flow, friction losses, flow measurement
& Rainfall-run-off modelling
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Approach
Fluid flow analysis:
• Control volume, or large-scale
• Differential, or small-scale
Flow must satisfy the three basic laws of mechanics:
• Conservation of mass (continuity)
• Conservation of Linear momentum (Newton’s second law)
• Conservation of energy (first law of thermodynamics)
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System
All the laws of mechanics are written for a system, which is defined as anarbitrary quantity of mass of fixed identity.
Mass:(dmsys /dt) = 0
Momentum: F = m (dV/dt)
Energy:
dQ/dt – dW/dt = dE/dt
Difficult to follow a fluid of fixed identity. Easier to look at a specific region ….
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Control Volume
Write the basic laws for a specific region:
Consider a fixed Control Volume:
Let B =any property (mass, momentum, energy)
β = B per unit mass = dB/dm
dAnudV dt
d
dt
dB
CS CV
sys)( ⋅+!
! "
#$$%
& = ((((( ρ β β ρ
Flux out ofthe CV
Increase withinCV
nu
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Integral form
Mass:
B = mβ = dm/dm =1
From system, (dmsys /dt) = 0
dAnudV
dt
d
dt
dm
CS CV
sys)( ⋅+!
!
"
#$$
%
& = ((((( ρ ρ
0)( =⋅+!! "
#$$%
& ((((( dAnudV dt
d
CS CV
ρ ρ
f
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Integral form
Momentum:
From system,
um B =
u=
dAnuudV udt
d F
CS CV
)( ⋅+!! "
#$$%
& = ((((() ρ ρ
dAnuudV udt
d
dt
umd F
CS CV
sys)(
)(⋅⋅+!
! "
#$$%
& ⋅== ((((() ρ ρ
dAnuudV udt
d
dt
umd
CS CV
sys)(
)(⋅⋅+!
! "
#$$%
& ⋅= ((((( ρ ρ
I l f
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Integral form
Energy:
From system,
E B =
e=
e = einternal + ekinetic + epotential + eelectrostatic
dAnudV dt
d
dt
dW
dt
dQ
CS CV
)( ⋅+!! "
#$$%
& =− ((((( β ρ β ρ
dAnudV dt
d
dt
E d
dt
dW
dt
dQ
CS CV
sys)(
)(⋅+!
! "
#$$%
& ==− ((((( β ρ β ρ
dAnudV dt
d
dt
E d
CS CV
sys)(
)(⋅+!
! "
#$$%
& = ((((( β ρ β ρ
Control Volume Analysis
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Control Volume Analysis
0=⋅nu
0)( =⋅+!! "
#$$%
& ((((( dAnudV dt
d
CS CV
ρ ρ
dAnuudV udt d F
CS CV
)( ⋅+!! "
#$$%
& = ((((() ρ ρ
Control Volume
0=⋅nu
1u 2u
Consider steady flow of waterthrough a bend,
Mass:
Steady
2211 Au Au =
Momentum
Steady
)( 22
21
2
1 Au Au F y ρ ρ +−=) 0=) x F
y
x
Diff ti l f
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Differential form
0)( =⋅+!!
"
#$$
%
& ((((( dAnudV
dt
d
CS CV
ρ ρ
0)( =! "
#$%
& ⋅∇+
∂
∂((( dV ut CV
ρ ρ
0)( =⋅∇+∂∂ u
t ρ ρ
Can be written in the form:
Mass
Valid for any volume V, possible only if:
0)( =⋅∇+ u Dt D ρ
)( ρ ρ ρ ∇⋅+∂∂= u
t Dt D
Integral form :
(or)
Diff ti l f
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Differential form
τ ρ ρ ⋅∇+∇−=
*+
,
-.
/∇⋅+
∂
∂ p g uu
t
u
gravitational
force
Pressure
gradient
viscous
force
Momentum
If we assume Newtonian fluid
u p g uut u 2∇+∇−=*+
,-./ ∇⋅+∂∂ µ ρ ρ
!
"
#$
%
& ⋅∇∇+∇+∇−=*
+
,-.
/∇⋅+
∂
∂)(
3
12 uu p g uu
t
u µ ρ ρ
ρ = constant
Navier-Stokes equation
Differential form
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Differential form
heatconduction
ViscousDissipation
Energy
steady motion of a frictionless non- conducting fluid
B = constant
Bernoulli equation
(for material fluidelement)
Bernoulli equation
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Bernoulli equation
Commonly used form in pipe flows (in terms of head):
pumpturbine friction hhh z g
V g
p z g
V g
p −++!! "
#$$%
& ++=!!
"
#$$%
& ++ 2
2
221
2
11
22 ρ ρ
1
2
Flow measurement
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Flow measurement
Flow measurement
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Flow measurement
Fox & McDonald
Pipe flow – Major loss
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Pipe flow – Major loss
Major losses: Frictional losses in piping system
P1
P2R: radius, D: diameter
L: pipe lengthτw: wall shear stress
Consider a laminar, fully developed circular pipe flow
p P+dp
τw[ ( )]( ) ( ) ,
,
p p dp R R dx
dp R
dx
p p ph
g
L
D f
L
D
V
g
w
w
Lw
− + =
− =
= −
= = FHIK=
FH
IKFHG
IKJ
π τ π
τ
γ γ
τ
ρ
2
1 2
2
2
2
4
2
Pressure force balances frictional force
integrate from 1 to 2
where f is defined as frictional factor characterizing pressure loss due to pipe wall shear stress
∆!! "
#$$%
& ! "
#$%
& =!
"
#$%
& !! "
#$$%
& =
g
V
D
Lf
D
L
g h w L
2
4 2
ρ ρρ ρ
τ ττ τ
!!
"
#$$
%
& !
"
#$
%
& =!
"
#$
%
& !!
"
#$$
%
& =
g
V
D
Lf
D
L
g
h w L
2
4 2
ρ ρρ ρ
τ ττ τ
Pipe flow
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W hen the pipe flow is laminar, it can be shown (not here) that
by recognizing that as R eynolds num ber
Therefore, frictional factor is a function of the Reynolds num ber
Similarly, for a turbulent flow , f = function of Reynolds number also
. A nother parameter that influences the friction is the surface
roughness as relativeto the pipe diam eterD
Su ch thatD
P ipe frictional factor is a function of p ipe R eynolds
num ber and the relative roughness of pipe.
Th is relation is sketched in the M oody d iagram as show n in the follow ing page.
Th e diagram show s f as a function of the Reynolds num ber (R e), w ith a series of
param etric curves related to the relative roughness D
f VD
VD
f
f F
f F
= =
=
=
= FHIK
FHIK
64
64
µ
ρ
ρ
µ
ε
ε
ε
, R e ,
Re,
(Re)
.
R e, :
.
! "
#$%
& =
D F f
ε Re,
D
ε
Pipe flow
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Losses in Pipe Flows
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p
Major Losses: due to friction, significant head loss is associated with the straight portions of
pipe flows. This loss can be calculated using the Moody chart.
Minor Losses: Additional components (valves, bends, tees, contractions, etc) in pipe flows also contribute to the total head loss of the system. Their contributions
are generally termed minor losses.
The head losses and pressure drops can be characterized by using the loss coefficient,
K L, which is defined as
One of the example of minor losses is the entrance flow loss. A typical flow pattern
for flow entering a sharp-edged entrance is shown in the following page. A venacontracta region is formed at the inlet because the fluid can not turn a sharp corner.
Flow separation and associated viscous effects will tend to decrease the flow energy;
the phenomenon is fairly complicated. To simplify the analysis, a head loss and the
associated loss coefficient are used in the extended Bernoulli’s equation to take intoconsideration this effect as described in the next page.
K h
V g
p p K V
L
L
LV = = =
2 2
12
2
2 12/,
∆∆
ρ ρ so that
Minor Loss
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V2 V3
V1
gh K
z z g K
V V p p p
g
V K h z
g
V ph z
g
V p
L L
L L L
+=−
+=≈==
=++=−++
∞1
2)(2(
11,0,
2,
22:EquationsBernoulli'Extended
313131
2
33
2
331
2
11
γ γ
(1/2)ρV22 (1/2)ρV3
2
K L(1/2)ρV32
p→ p∞
gz V
p ρ ρ
++
2
2
Open channel flow
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Open channel flow
Rh = A/P
A= cross-sectional area
P =“wetted perimeter”
Hydraulic radius
Open channel
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Open channel
Rh = A/P
P =“wetted perimeter”
Hydraulic radius
Open Channel
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Open Channel
Rainfall/Runoff Relationships
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Rainfall/Runoff Relationships
Depending on the nature of precipitation, soil type,moisture history, etc., an ever-varying portion ofthe precipitation becomes runoff, moving viaoverland flow into stream channels
• these stormflow events are typically recorded ashydrographs of discharge, or stream height(stage) vs. time
• A hydrograph is a plot of discharge vs. time at anypoint of interest in a watershed, usually its outlet.Hydrographs are the ultimate measure of awatershed's response to precipitation events
• for any storm, the initial precipitation does notcontribute directly to flow at the outlet, instead itis stored or absorbed. This is termed the initialabstraction (Fig. 2), precipitation that falls beforethe storm hydrograph begins.
• direct runoff is that portion of the precipitationthat moves directly into the channel, appearing inthe hydrograph
• losses represent storage of precipitation upstreamfrom the outlet after the storm hydrographbegins. Often lumped with abstraction.
• excess precipitation runs off, and forms the stormhydrograph
GEOS 4310/5310 Lecture Notes, Fall 2002Dr. T. Brikowski, UTD
Rainfall/Runoff
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Idealized model: Hortonian Overland Flow• when precipitation exceeds infiltration capacity of soil,
Hortonian overland flow results
• infiltration rate declines exponentially as soil saturates• Horton model (1940) assumes uniform infiltration capacity for
watershed
Overland Flow (OF) actually unimportant in most watersheds(studies performed in 1960's)• often only 10% of a watershed regularly supplies OF during a
storm event• in those areas, often only 10-30% of precip. becomes OF
• vegetation also absorbs much precip.• well-vegetated watersheds in humid climate rarely show OF• arid zones (sparse vegetation) during high-intensity rainfall
will show Hortonian OF
Rainfall/Runoff
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Best model: variable source area
• interflow (subsurface stormflow) is prime contributor to streamflow• OF is important near streams, where slopes become saturated by
interflow• return flow (emergence of interflow) also important near streams
Baseflow Characteristics
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storm hydrograph has twocontributions
• ``Fast'' response:overland flow, interflow,etc. direct runoff
• Baseflow: discharge ofgroundwater flow tostream
hydrograph separation helps
distinguish thesecomponents
Gaining/losing stream
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g/ g
Flash flood prediction
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p
Starting from precipitation …
…. Storm hydrograph
actual discharge volume flow rate (Q) andheight (d) in discharge channel
Outline of Lecture
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• Fundamental concepts & Fluid Statics
- Fluid definition, Continuum, description and classification of fluid
motions, viscosity and other basics, Fluid statics in incompressibleand compressible fluids
• Governing equations for fluid flow &Applications
- Control Volume analysis using basic laws of Fluid Mechanics,
Pipe flow, friction losses, flow measurement & Rainfall-run-off-modelling