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Population Growth Modeling

Population Growth Modeling. Begin with a mass balance on microbial growth. X = population biomass, mg/L V = volume, L Q = flow, L/d k = 1 st order rate coefficient, 1/d t = time, d. Exponential growth model.

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Population Growth Modeling

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  1. Population Growth Modeling

  2. Begin with a mass balance on microbial growth X = population biomass, mg/L V = volume, L Q = flow, L/d k = 1st order rate coefficient, 1/d t = time, d

  3. Exponential growth model when applied to growth rate calculations, the notation for the 1st order rate coefficient (k) is replaced by , termed the specific growth rate coefficient. (Mihelcic 1999, Figure 5.4)

  4. Environmental Resistance (Mihelcic 1999, Figure 5.5)

  5. Logistic growth model K = carrying capacity, mg/L (Mihelcic 1999, Figure 5.7)

  6. Example: carry capacity effects (Mihelcic 1999, Figure 5.6)

  7. Monod Model S = food, mg/L Ks = half-saturation constant, mg/L Low values of Ks indicate an ability to acquire food resources at low concentrations. Consider S,X = f (t) (Mihelcic 1999, Figure 5.8)

  8. Example: resource competition (Mihelcic 1999, Figure 5.9)

  9. The Yield Coefficient Y = yield coefficient, mgX/mgS Consider Y to be the amount of biomass produced per unit food consumed.

  10. The Death (Respiration) Coefficient kd = death coefficient , 1/d It isn’t really death, a singular event, but rather losses of biomass to respiration.

  11. Putting It All Together These differential equations are solved using numerical methods. (Mihelcic 1999, Figure 5.10)

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