Unstructured Cellular Automata in Ecohydraulics Modelling (Hardcover)

1 INTRODUCTION1.1 BACKGROUND 1.2 RESEARCH SCOPE 1.3 OBJECTIVES AND RESEARCH QUESTIONS 1.4 THESIS OUTLINE 2 THE CONCEPT OF CELLULAR AUTOMATA 2.1 A BRIEF HISTORICAL OVERVIEW2.2 CELLULAR AUTOMATA WITH DIFFERENT STRUCTURED LATTICE CONFIGURATIONS 2.3 NEIGHBOURHOOD SCHEMES OF CELLULAR AUTOMATA 2.4 TRANSITION RULES OF CA 2.4.1 Deterministic CA rules 2.4.2 Probabilistic CA rules2.4.3 Data-driven based rules 2.4.4 Asynchronous rules2.5 BOUNDARIES OF CA 2.6 BEHAVIOUR AND CLASSIFICATION OF CA 2.7 APPLICATIONS OF CELLULAR AUTOMATA 3 THE CONCEPT OF UNSTRUCTURED CELLULAR AUTOMATA 3.1 MOTIVATIONS TO DEVELOP UNSTRUCTURED CELLULAR AUTOMATA 3.2 CELL CONFIGURATIONS OF UNSTRUCTURED CELLULAR AUTOMATA 3.2.1 Unstructured Cellular Automata with triangle elements 3.2.2 Unstructured Cellular automata with polygon elements 3.3 EFFECTS OF INITIAL CONDITIONS IN UCA3.3.1 Initial spatial distribution 3.3.2 Initial percentage analysis 3.4 EFFECTS OF DIFFERENT NEIGHBOURHOOD SCHEMES IN UCA 3.4.1 Three-sided type3.4.2 Moore type UCA3.4.3 Three-vertex type 3.4.4 Star-like Voronoi polygons 3.5 ANALYSIS AND DISCUSSION 4 COMPUTATIONAL THEORY OF UNSTRUCTURED CELLULAR AUTOMATA4.1 CELLULAR AUTOMATA RELATIONS WITH OTHER MODELLING METHODOLOGIES 4.1.1 Artificial Life and Cellular Automata4.1.2 Fractal Theory and Cellular Automata 4.1.3 Markov Processes and Cellular Automata 4.1.4 Diffusion-Limited Aggregation model (DLA) and Cellular Automata 4.1.5 Individual Based Model (IBM) and Cellular Automata 4.2 CELLULAR AUTOMATA AND PARTIAL DIFFERENTIAL EQUATIONS 4.2.1 Analogies and differences between CA and PDEs 4.2.2 General comparison of CA and PDE 4.3 EFFECTS OF CELL SIZE IN UNSTRUCTURED CELLULAR AUTOMATA 4.3.1 Original meshes & Locally refined meshes 4.3.2 Rough meshes & Globally refined meshes 4.3.3 Analysis and discussion 5 UNSTRUCTURED CELLULAR AUTOMATA FOR SPATIAL DYNAMIC ECOLOGICAL MODELLING 5.1 UCA FOR PREY-PREDATOR MODEL 5.2 UCA FOR ALGAE BLOOM MODEL 5.3 SPATIAL WATER QUALITY MODEL FOR SPIKED POLLUTION 5.3.1 Non-uniform diffusion water quality model 5.3.2 Application for study case (Numerical experiment) 6 SPATIAL EVOLUTION OF BENTHONIC MACROINVERTEBRATE UNDER FLOW REGULATION USING HYBRID MODELLING6.1 INTRODUCTION 6.1.1 Description of study area 6.1.2 Data Collection 6.2 HYBRID MODEL DEVELOPMENTS6.2.1 Two-dimensional water quality module 6.2.2 macroinvertebrate habitat module 6.2.3 Model verification6.2.4 Scenario analyses 6.3 QUANTIFY SPATIAL DISTRIBUTION OF MACROINVERTEBRATE USING CELLULAR AUTOMATA 6.3.1 Patch analysis of macroinvertebrate habitat using cellular automata 6.3.2 Cellular automata Homogeneity 6.4 RESULTS AND DISCUSSIONS 7 INDIVIDUAL-BASED AND SPATIAL-BASED UNSTRUCTURED CELLULAR AUTOMATA AND APPLICATION TO AQUATIC ECOSYSTEM MODELLING 7.1 DESCRIPTION OF STUDY AREA 7.2 INFLUENCING FACTORS FOR WATER LILY GROWTH 7.3 SPATIAL-BASED UCA MODEL SETUP 7.4 INDIVIDUAL BASED MODELLING USING UNSTRUCTURED CELLULAR AUTOMATA 7.5 ANALYSIS OF RESULTS7.6 FUTURE STUDY 8 CONCLUSIONS AND RECOMMENDATIONS CONCLUSIONSRECOMMENDATIONS FOR FUTURE WORK REFERENCESAPPENDICESABOUT THE AUTHOR