Modeling algae dynamics in Meiliang Bay of Taihu Lake and parameter sensitivity analysis

Ecological modeling and eutrophication—A review

“…BLOOM module simulates algae species processes according to their stoichiometry, calculating their composition linearly in contrast to other models that use mass conservation techniques (Li et al., ). Based on the knowledge that the changes on of algal species physiology depend on the limitation conditions, phosphorus, nitrogen, and energy of the different algal types are distinguished (Li et al, ) and modeled as different variables (Troost et al, ). Another feature of BLOOM is the idea of conditional steady states.…”

“…Li et al. () used Delft3D‐BLOOM based on the hydrodynamic Delft3D‐FLOW, to develop an algae dynamic model for Meiliang Bay in Taihu Lake (China). The model was calibrated against field data and was used to simulate 48 parameters that affect growth, respiration, and mortality of the major algal groups and diatoms.…”

“…Delft3D-ECO/GEM contains the algae model BLOOM that calculates algal composition through linear programming technique (Li, Chen, & Xu, 2015). BLOOM simulates the effect of nutrients and/or light limitation on phytoplankton growth and species interactions (Los & Bokhorst, 1997;Los & Brinkman, 1988;Los, Villars, & Ouboter, 1994; Van der Molen, Los, Van Ballegooijen, & Van der Vat, 1994).…”

“…where C: concentration (g/m 3 ); u, v, w: components of the velocity vector (m/s); D x , D y , D z : components of the dispersion tensor (m 2 /s); x, y, z: coordinates in three spatial dimensions (m); S: source and sinks of mass due to loads and boundaries; P: sources and sinks of mass due to processes; and t: time (seconds). BLOOM module simulates algae species processes according to their stoichiometry, calculating their composition linearly in contrast to other models that use mass conservation techniques (Li et al, 2015). Based on the knowledge that the changes on of algal species physiology depend on the limitation conditions, phosphorus, nitrogen, and energy of the different algal types are distinguished (Li et al, 2015) and modeled as different variables .…”

“…Water quality targets were based on OSPAR agreements, while the model's use revealed that some of them were spatially inconsistent or with respect to the DIN to DIP ratio. Li et al (2015) used Delft3D-BLOOM based on the hydrodynamic Delft3D-FLOW, to develop an algae dynamic model for Meiliang Bay in Taihu Lake (China). The model was calibrated against field data and was used to simulate 48 parameters that affect growth, respiration, and mortality of the major algal groups and diatoms.…”