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Modelling of Aquatic Ecosystems

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Calculation of stoichiometric coefficients for all substances j of process i ... constant values of benthic algae biomass (SALG (D.ALG)) and of sedimented ... – PowerPoint PPT presentation

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Title: Modelling of Aquatic Ecosystems


1
Modelling of Aquatic Ecosystems
  • Exercise 6
  • 06.05.2009

2
Exercise 5 additional constraints
  • Calculation of stoichiometric coefficients for
    all substances j of process i with the help of k
    additional constraints
  • Example ALG death exercise 5
  • constraints list (c ( "C.ALG"
    paramY.ALG.death,
  • "C.POMD" 1,
  • "C.POMI" 1)
  • (-1)YALG,death ((1-fi)YALG,death) 1
    (fiYALG,death)1 0

3
Model exercise 6.1
4
Model exercise 6.1
5
Model exercise 6.1
  • State variables
  • phosphate (C.HPO4),
  • O2 (C.O2),
  • ammonium (C.NH4),
  • nitrate (C.NO3), nitrite (C.NO2)
  • constant values of benthic algae biomass (SALG
    (D.ALG)) and of sedimented organic particles
    (SPOM (D.POM))
  • Considered processes
  • growth of SALG on HPO4 and NH4 resp. NO3,
  • respiration of SALG
  • first (NH4 to NO2) and second (NO2 to NO3) step
    of nitrification,
  • oxic mineralization of SPOM
  • Considered interface fluxes
  • oxygen exchange with the atmosphere,
  • advection between the three river reaches

6
Exercise 6.3 Identifiability
  • Change in oxygen concentration due to change in
    oxygen exchange coefficient can be compensated by
    a change in the ALG and POM density
  • ? Kinetic parameters of primary production and
    ecosystem respiration (mineralization, etc.) are
    not identifiable from oxygen concentration data
    if oxygen exchange coefficient is unknown

7
Exercise 6.4 Simplifying assumptions
  • Prismatic river reach, constant friction, wide
    rectangular river bed
  • Constant flow velocity v in time and across river
    cross-section
  • Constant vertical turbulent diffusion coefficient
    Kz
  • Constant lateral diffusion and dispersion
    coefficient ey
  • Vertical mixing substance enters the river
    homogeneously spread over the river width,
    lateral dimension and time dependence can be
    omitted
  • Lateral mixing substance enters the river well
    mixed over the river depth, vertical dimension
    and time dependence can be ignored

8
Exercise 6.4 Vertical/lateral mixing distance
  • Vegetation in summer decreases flow velocity (v)
    and increases water depth (h) and vertical
    turbulent diffusion (Kz)
  • higher Kz is partially compensated by difference
    in water depth resulting in similar vertical
    mixing distances (smix,z)
  • For deeper rivers the coefficient of lateral
    turbulent diffusion and dispersion (ey) is higher
  • Higher ey causes a smaller lateral mixing
    distance
  • Vertical mixing is much faster than lateral
    because the width of the river is much larger
    than the depth

9
Exercise 6.4 Longitudinal dispersion
  • Significantly larger lateral mixing in summer
    reduces longitudinal dispersion
  • Dispersion increases with increasing velocity
    differences across the river
  • Dispersion increases with increasing width of the
    river, because of decreasing lateral mixing
  • Dispersion decreases with lateral turbulent
    diffusivity (u h), as this increases mixing
    across the river

10
Exercise 6.4 Numerical dispersion
  • To avoid numerical dispersion being larger than
    longitudinal dispersion the length of the
    modelled river sections (mixed reactors) must
    fulfill
  • ?x ltlt Ex 2wh / Q Ex 2 / v

11
Exercise 6.4 Tracer experiment
  • Mass of dye tracer needed for experiment, so that
    it fulfills Cmax m/hw 1/2v2Ext
  • with Cmax 0.4 g/m3 and t 600 s
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