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5. Sediment transport models

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Title: 5. Sediment transport models


1
5. Sediment transport models
2
Settling velocity (vf) Stokes equation
  • Assumption spherical particles
  • Gravity force drag force
  • Particle reaches a constant settling velocity
  • This velocituy is dependent on fluid viscosity
    (?), density difference between the particle and
    water (?s-?) and particle diameter (d),
  • ggravity constant 9,81 m/s2
  • Velocity range From 0.07 m/d (clay, d1.2 ?m) to
    710 m/d (sand, d200?m), density2.5 gcm-3

3
Settling speed in nature
  • Particles are seldom spherical clay particles
    are like plates
  • Aggregation of particles happens due to the
    electromagnetic forces ? cohesive soils (clays,
    mud)
  • Organic compounds like humic substances have a
    very fragile structure ? changes even in water
    column
  • ? velocity from Stokes equation has to be
    corrected with empirical relations
  • Baba Komar, 1981 vreal0.761vf
  • In sediment transport models vf is calculated
    using the median particle size from a surface
    sediment sample

4
Erosion or resuspension from bottom
  • Acting forces on a particle laying on the bottom
  • difference between gravity on buoyancy
  • drag force by the current
  • lifting force due to the pressure differences as
    caused by water flowing between particles
  • electromagnetic forces causing aggregation
  • Term 1. ? density difference and particle
    (diameter)3
  • Terms 2 and 3. ? shear force caused by current
    and particle (diameter)2
  • Shieldss empirical curve for erosion ? in design
    of structures
  • A simplified erosion curve by Hjulström (erosion
    vs. current velocity)
  • In models we use most often the critical shear
    concept

5
Hjulströms curve for erosion
6
Critical shear
  • Total shear (?) on the lake bottom
  • shear by orbital movements of waves f(wind
    fetch over lake, lake mean depth, wind velocity
    and duration)Materials\Lake Säkylän Pyhäjärvi.pdf
  • shear by currents
  • ? gt critical shear (?cr), erosion happens with
    a rate ?a(excess shear)b
  • ?cr, a and b are experimental values, which we
    calibrate during model application
  • values for ?cr 0.0081 Nm-2, b1..3, a depends
    on sediment
  • In this formulation there is no consolidation
    effects and bottom morphology included

7
Calculation of sediment transport
  • Simple screening toolshttp//el.erdc.usace.army.m
    il/dots/doer/tools.html
  • Using numerical flow models for predicting the
    horizontal current field
  • Suspended solids concentration is calculated with
    concentration equation
  • Following terms in concentration equation
  • advection with settling speed in vertical
    dimension
  • turbulence
  • mass flow from tributaries and to out flowing
    river
  • settling and deposition to bottom
  • erosion or resuspension from bottom

8
Example from Mänttä
2DH flow model with BOD7 water quality
compartment Sediment was light organic
fibre Short term regulation at hydropower plant
9
Example from Karhijärvi
  • Three different models were tested 2DH, 2DV and
    3D model
  • Models were tested in an runoff case in Oct 1992,
    when heavy rains caused erosion from watershed
    and a heavy suspended solids load to lake
  • Data winds on the lake, water current
    observations, turbidity observations
  • ? 3D model gave best results

10
Mänttä Transport model resultSediment fibrous
material
11
Sediment transport in Tanganyika
  • Model simulation
  • lake wide circulation model ?boundary values
    (current velocity) for high resolution model at
    river mouths
  • flow model and suspended sediment transport
    models
  • SS input was estimated from historical data
  • real winds from atmospheric model HIRLAM (this
    model was used first time in tropics)

12
3D FLOW MODEL
Calculated depth-averaged flow on 24.08.97
0400.
Calculated depth-averaged flow on 24.08.97 2000
13
3D SEDIMENT TRANSPORT MODEL
(A), 1200 24.08.97
(B) 000 28.08.97
(C) after 22, 82 and 166 hours after the
simulation start respectively.
14
6. Water quality models
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Concentration equation
  • where,
  • c concentration, qL amount of loading release
    , n length measure against release, u,v,w x-,
    y- ja z- advective velocities in x-, y- ja z-
    directions, Dx, Dy, Dz dispersion coefficients,
    R(T,c) biogeochemical changes in concentration

17
Application of WQ-models
  • We include
  • Advection
  • Dispersion
  • Settling on the bottom
  • Bio- chemical processes
  • Decomposition, respiration, aeration, anaerobic
    release of P from the bottom
  • Select the most important variables concerning
    the problem
  • Oxygen, nutrients (like P,N), chlorophyll-a and
    some conservative substance (like Na)
  • Limiting factors (light, nutrients, ) must be
    included. Check!
  • Temperature corrections must be included. Check!

18
Lake Lappajärvi WQ-model
  • PROBE temperature model
  • Materials\Effects of Climate Change....pdf
  • PROBE-WQ model
  • Materials\Lappajarvi_WQ.pdf

19
Oxygen model
20
Phytoplankton biomass and ToTP
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Interactions in EIA-SYKE-model
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Other WQ-model applications
  • Several case studies Materials\Flow_and_WQ_Models
    _Sarkkula.pdf
  • Lake Pyhäselkä
  • Materials\Pyhaselka.pdf
  • What happened to WQ after real reduction of
    loads?
  • Materials\IAWQ99.pdf

32
Summary of WQ-model calculations
  • Check that you have data to describe WQ in
    variable discharge and loading conditions
  • Select those properties (variables), which
    describe best the effects of loading and
    concentrate calibration on them
  • Use most simple parameterization of the variables
  • First coefficient values from literature and by
    experience
  • Compare the calculated and observed values
  • Select the conditions (weather, discharge and
    loading) during which the effects are described
    .and run the model!!
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