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. 2021 Mar 3;55(6):3940–3955. doi: 10.1021/acs.est.0c05264

Table 1. Comparison among the Main Algae-Bacteria Models Available in the Literature for Wastewater Remediationa.

  RWQM1 PHOBIA modified RWQM1b modified ASM3 Bioalgae1 Bioalgae2 ALBAb
Reference Reichert, 2001 Wolf, 2007 Broekhuizen 2012 Arashiro, 2017 Solimeno, 2017 Solimeno, 2019 Casagli, 2021/this work
Model Structure/Characteristics
State variable (no.) 24 16 24 16 19 19 17
Biological processes (no.) 22 13 22 21 18 18 19
Parameters (no.) 120 75 138 47 94 108 72c
Growth kinetic type multiplicative minimum multiplicative multiplicative multiplicative multiplicative multiplicative/minimumd
Dependence on organic and inorganic carbon CORG CORG, CO2, HCO3 CORG, CO2, HCO3, CO32– CORG CORG, CO2, HCO3 CORG, CO2, HCO3 CORG, CO2, HCO3, CO32–
Considered N-forms NH3, NH4+, NO3, NO2 NH3+, NO3 NH3, NH4+, NO3, NO2, N2 NH4+, NO3, NO2 NH3, NH4+, NO3, NO2 NH3, NH4+, NO3, NO2 Norg, NH3, NH4+, NO3, NO2 HNO2, HNO3, N2
Considered P-forms H2PO4, HPO42– - H2PO4, HPO42– - SPO4e SPO4f H3PO4, H2PO4, HPO42–, PO43–
Continuity check (mass conservation) C, O, N, P n.s. C, O, N, P (COD, N, P) n.s. n.s. C, H, O, N, P, COD
Algal biomass composition C100H232O26N14P n.s. C100H232O26N14P C106H181O45N16P C100H232O26N14P C100H232O26N14P C100H183O48N11P
Bacterial biomass composition C150H335O13N30P n.s. C150H335O13N30P C5H7O2N C150H335O13N30P C150H335O13N30P C60H87O23N12P
PAR model Steele Eilers and Peters Smith Poisson Eilers and Peters Eilers and Peters Bernard and Remond
pH model NH4+, NH3, CO2, HCO3, CO32–, H2PO4, HPO42–, Ca2+, H+, OH NH4+, NH3, CO2, HCO3, CO32–, H+, OH, ΔCAT,AN NH4+, NH3, CO2, HCO3, CO32–, H2PO4, HPO42–, Ca2+, H+, OH - NH4+, NH3, CO2, HCO3 CO32–, H+, OH NH4+, NH3, CO2, HCO3, CO32–, H+, OH NH4+, NH3, CO2, HCO3, CO32–, H3,PO4, H2PO4, HPO42–, PO43–, NO2, HNO2, NO3, HNO3, H+, OH, ΔCAT,AN, TA
pH growth dependence - - Gaussian law - - CPMI CPM
Temperature simulation/growth dependence -/Arrhenius - -/Arrhenius - -/Arrhenius -/CTMI √/CTMI
Ammonification - - - - - -
DO inhibition - - - -
NH3 inhibition - - - - - -
Gas–liquid mass transfer O2 - O2 - O2, CO2, NH3 O2, CO2, NH3 O2, CO2, NH3, evaporation
Experimental Setup
Reactor type river environment laboratory incubator raceway cylindrical photobioreactor raceway cylindrical photobioreactor raceway
Reactor installation/volume outdoor indoor(lab)/3L outdoor/8 m3 indoor(lab)/2 L outdoor/1 m3 indoor(lab)/4 L outdoor/17 m3, 1 m3
Influent wastewater discharge MM MWW DSC MWW MWW SWW, DSC
Calibration data set - - 365 d √ (24 h) √ (4 d) √ (8 d) √ (30 d)
Validation
Short-term dynamics - -   √ (24 h) √ (4 d) n.s. 3, 14 d
Long-term dynamics - - 330 d - √ (175 d) - √ (413 d, 189 d)
Sensitivity analysis - -
Seasonal analysis - - - - - -
Parameter uncertainty - - - -
Confidence intervals for model predictions - - - - -
a

Abbreviations: √: implemented; n.s. not specified or provided in the relative publications; IC: Inorganic Carbon; DSC: Diluted Swine Centrate; MM: Mineral Medium; MWW: Municipal WasteWater; SWW: Synthetic Municipal WasteWater; TA: Total Alkalinity; CTMI: Cardinal Temperature Model with Inflection; CPMI: Cardinal pH Model with Inflection; CPM: Cardinal pH Model.

b

Demonstrative scale reactors (>5 m3).

c

Not including chemical constants, their temperature dependence, and stoichiometric coefficients.

d

In the ALBA model, only the Monod limitation terms relative to nutrients availability were implemented in the minimum function, while the dependence on inhibitory and environmental factors is multiplied for the minimum term (in the PHOBIA model, all the multiplicative terms considered are included in the minimum function).

e

P limitation term only on algae.

f

P limitation term on algae and bacteria.