
Mathematical Modeling of Biofilms
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Content
- Cover
- Copyright
- Contents
- List of Task Group members
- Acknowledgements
- Overview
- 1. Introduction
- 1.1 What is a Biofilm?
- 1.2 Good and Bad Biofilms
- 1.3 What is a Model?
- 1.4 The Research Context for Biofilm Modeling
- 1.5 A Brief Overview of Biofilm Models
- 1.6 Goals for Biofilm Modeling
- 1.7 The IWA Task Group on Biofilm Modeling
- 1.8 Overview of this Report
- 1.8.1 Guidance for Model Selection
- 1.8.2 Biofilm Models Considered by the Task Group
- 1.8.3 Benchmark Problems
- 2. Model Selection
- 2.1 Biofilm Features Relevant to Modeling
- 2.2 Compartments
- 2.2.1 The Biofilm
- 2.2.2 The Bulk Liquid
- 2.2.3 The Mass-Transfer Boundary Layer
- 2.2.4 The Substratum
- 2.2.5 The Gas Phase
- 2.3 Components
- 2.3.1 Dissolved Components
- 2.3.2 Particulate Components
- 2.4 Processes and Mass Balances
- 2.4.1 Transformation Processes
- 2.4.2 Transport Processes
- 2.4.3 Transfer Processes
- 2.5 Model Parameters
- 2.5.1 Significance of Model-Parameter Definitions
- 2.5.2 Significance of Model Parameter Units
- 2.5.3 Significance of Environmental Conditions
- 2.5.4 Plausibility of Parameter Values
- 2.5.5 Sensitivity of Model Parameters
- 2.5.6 System-Specific Parameters
- 2.6 Guidance for Model Selection
- 2.6.1 Overview of the Models
- 2.6.2 Modeling Objectives and User Capability
- 2.6.3 Time Scale
- 2.6.4 Macro Versus Micro Scales
- 2.6.4.1 Substrate Removal
- 2.6.4.2 Biomass Accumulation, Production, and Loss
- 2.6.4.3 Spatial Profiles of Dissolved Components
- 2.6.4.4 Spatial Distribution of Particulate Components
- 2.6.4.5 Physical Structure of the Biofilm
- 3. Biofilm Models
- 3.1 Mass Balances in Biofilm Models
- 3.1.1 Microscopic (Local or Differential) Mass Balances
- 3.1.1.1 General Differential Mass Balances
- 3.1.1.2 Particular Forms of Differential Mass Balances
- 3.1.2 Macroscopic (Global or Integral) Mass Balances
- 3.1.2.1 General Integral Mass Balances
- 3.1.2.2 Particular Forms of the Integral Mass Balance
- 3.1.3 Relationships Among the Various Models
- 3.2 Analytical Models (A)
- 3.2.1 Features
- 3.2.2 Definitions and Equations
- 3.2.2.1 Mass Balances for Substrate in the Bulk Liquid
- 3.2.2.2 Mass Balances for Substrate in the Biofilm
- 3.2.2.3 Mass Balances for Biomass
- 3.2.3 Mathematical Treatment
- 3.2.3.1 One Biological Conversion Process
- 3.2.3.2 Two or More Biological Conversion Processes & Biofilm Architecture
- 3.2.3.3 Kinetics for Multiple Limiting Substrates
- 3.2.3.4 Solving the Problem with a Simple Spreadsheet
- 3.2.4 Applications
- 3.2.4.1 Numerical Versus Analytical Solutions
- 3.2.4.2 Describing an Existing Reactor System
- 3.2.4.3 Designing a Biofilm Reactor
- 3.3 Pseudo-Analytical Models (PA)
- 3.3.1 Features of the Basic Pseudo-Analytical Model
- 3.3.2 Adapting the Pseudo-Analytical Model for Multiple Species
- 3.3.3 The Multi-Species Models
- 3.3.4 Multi-Species Applications
- 3.3.4.1 Standard Condition
- 3.3.4.2 High Influent N:COD
- 3.3.4.3 Low Influent N:COD
- 3.3.4.4 High Detachment Rate
- 3.3.4.5 Oxygen Flux
- 3.3.4.6 Interfacial Concentrations and Biofilm Deepness
- 3.3.5 Summary for Multi-Species PA Models
- 3.4 Numerical One-Dimensional Dynamic Model (N1)
- 3.4.1 Features
- 3.4.2 Definitions and Equations
- 3.4.3 Mathematical Treatment with AQUASIM
- 3.4.4 Applications
- 3.4.4.1 Substrate Removal
- 3.4.4.2 Biofilm Growth, Microbial Composition and Detachment
- 3.4.4.3 Pseudo 2d Modeling of Plug Flow
- 3.4.4.4 Pseudo 3d Modeling
- 3.5 Numerical One-Dimensional Steady State Model (N1S)
- 3.5.1 Features
- 3.5.2 Definitions and Equations
- 3.5.3 Software Implementation
- 3.6 Multi-Dimensional Numerical Models (N2 and N3)
- 3.6.1 General Features
- 3.6.2 Model Classifications
- 3.6.2.1 Definitions
- 3.6.2.2 Representation of Dissolved Components
- 3.6.2.3 Representation of Particulate Components
- 3.6.2.4 Summary of Multidimensional Models Used
- 3.6.3 2d/3d Models with Discrete Biomass and Solutes in Continuum Space (N2a,N2b,N3a,N3b,N3c)
- 3.6.3.1 Features
- 3.6.3.2 Definitions and Equations
- 3.6.3.3 Solution Methods
- 3.6.3.4 Software Implementation
- 3.6.4 2d Models with Discrete Biomass and Discrete Solutes (The Cellular Automata Models N2c, N2d, N2e, N2F)
- 3.6.4.1 Discretization of the Physical Domain
- 3.6.4.2 Definition of Substrate and Microbial Particles
- 3.6.4.3 Discretization of Monod-type Substrate-Utilization Kinetics
- 3.6.4.4 Stochastic Representation of Microbial Growth, Inactivation, and Endogenous Respiration
- 3.6.4.5 Simulation of Microbial Dynamics within the Biofilm (N2f)
- 3.6.4.6 Simulation of Advective Flux (N2d, N2e)
- 3.6.5 Applications
- 3.6.5.1 Formation of Biofilm Structure & Activity in Relation with the Environment
- 3.6.5.2 Model Comparison with Experimental Data
- 3.6.5.3 Interactions in Multispecies Biofilms
- 4. Benchmark Problems
- 4.1 Introduction
- 4.2 Benchmark 1: Single-Species, Flat Biofilm
- 4.2.1 Definition of the System to be Modeled
- 4.2.2 Models Applied and Cases Investigated
- 4.2.3 Results for the Standard Condition (Case 1)
- 4.2.4 Results for Oxygen Limitation (Case 2)
- 4.2.5 Results for Biomass Limitation (Case 3)
- 4.2.6 Results for Reduced Diffusivity in the Biofilm (Case 4)
- 4.2.7 Results for External Mass Transfer Resistance (Case 5)
- 4.2.8 Lessons Learned from Bm1
- 4.3 Benchmark 2: Influence of Hydrodynamics
- 4.3.1 Definition of the System Modeled
- 4.3.2 Cases Investigated
- 4.3.3 Models Applied
- 4.3.3.1 Three Dimensional Model (N3c)
- 4.3.3.2 Two-Dimensional Models
- 4.3.3.3 One-Dimensional Models
- 4.3.4 Results and Discussion
- 4.3.4.1 System Behavior as Revealed by 3d Simulation
- 4.3.4.2 Comparation of Models in BM2 and their Performance
- 4.3.4.3 Comparison of Model Requirements
- 4.3.4.4 Lessons Learned from BM2
- 4.4 Benchmark 3: Microbial Competition
- 4.4.1 Definition of the System Modeled
- 4.4.2 Cases Investigated
- 4.4.3 One-Dimensional Models Applied
- 4.4.3.1 The General One-Dimensional, Multi-Species, and Multi-Substrate Model
- 4.4.3.2 Simplifications and Distinguishing Features of the Models
- 4.4.4 Results from One-Dimensional Models
- 4.4.4.1 Standard Case
- 4.4.4.2 High Influent N:Cod
- 4.4.4.3 Low Influent N:Cod
- 4.4.4.4 Low Production Rate for Inert Biomass
- 4.4.4.5 High Detachment for a Thin Biofilm
- 4.4.4.6 Oxygen Sensitivity by Nitrifiers
- 4.4.5 Lessons Learned from the 1d BM3 Models
- 4.4.6 Two-Dimensional Models Applied
- 4.4.7 Results for the Two-Dimensional Models
- 4.4.8 Lessons Learned from the 2d BM3 Models
- Nomenclature
- References
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