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Spatial pattern dynamics in aquatic ecosystem modelling

Author: Hong Li
Publisher: Leiden, Netherlands : CRC Press/Balkema, ©2009.
Dissertation: doctoral Delft University of Technology 2009
Edition/Format:   Thesis/dissertation : Thesis/dissertation : EnglishView all editions and formats

Focuses on the simulation of spatial patterns in aquatic ecosystems. This title explores various modelling approaches to reveal processes and factors contributing to the spatial pattern development  Read more...


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Additional Physical Format: Online version:
Li, Hong, 1972-
Spatial pattern dynamics in aquatic ecosystem modelling.
Leiden, Netherlands : CRC Press/Balkema, ©2009
Material Type: Thesis/dissertation
Document Type: Book
All Authors / Contributors: Hong Li
ISBN: 9780415558976 0415558972
OCLC Number: 465370148
Description: xx, 181 pages : illustrations ; 25 cm
Contents: AbstractSamenvattingAcknowledgementChapter 1 Introduction1.1 Research scope1.1.1 Background1.1.2 Available approaches 1.2 Objectives and research questions 1.3 Thesis outline Chapter 2 Theoretical background 2.1 Introduction2.2 General description 2.3 Population life-system 2.4 Processes and factors influencing aquatic population dynamics 2.4.1 Impact of abiotic factors 2.4.2 Mortality, intraspecific interaction and interspecific competition 2.4.3 Biological growth and feedback to the external environment 2.4.4 Spatial patterns and local interactions2.5 Summary Chapter 3 Developments in modelling paradigms3.1 Introduction3.2 Overview3.3 Physically- based modelling 3.4 Data-driven modelling 3.5 Discrete cellular automata3.6 Individual / agent based and multi-agent systems 3.7 Emerging research needs 3.8 SummaryChapter 4 Harmful algal bloom prediction using data-driven techniques4.1 Introduction4.2 Background 4.2.1 Harmful algal bloom events4.2.2 Case study area 4.3 Methodology 4.4 Results 4.4.1 Correlation analysis and principle component analysis4.4.2 Dominant factor analysis using ANN 4.4.3 FL model based on the best scenario of ANN 4.5 Summary Chapter 5 Enhancing physically-based algal dynamics modelling using remote sensing images 5.1 Introduction5.2 Background 5.3 BLOOM/GEM modelling instrument5.3.1 Overview5.3.2 General description of processes in BLOOM/GEM5.4 Model application to the southern North Sea 5.4.1 Schematization5.4.2 Hydrodynamics and the BLOOM/GEM model5.5 Enhanced algal spatial pattern prediction in the Delft3DBloom/Gem model using RS images5.5.1 Filling missing data in TSM maps retrieved from remote sensing images 5.5.2 Enhancing HAB modelling with TSM maps retrieved from RS images5.5.3 Discussions and remarks5.6 Summary Chapter 6 Spatial pattern dynamics in cellular automata based aquatic ecosystem modelling6.1 Introduction6.2 Cellular automata 6.2.1 Background 6.2.2 Types of CA models 6.3 Photography-based cellular automata in aquatic plant dynamics modelling 6.3.1 Introduction6.3.2 Influencing factors for water lily growth 6.3.3 Model setup6.3.4 Analysis of results6.3.5 Conclusions and discussion6.4 Summary Chapter 7 Revealing spatial pattern dynamics in aquatic ecosystem modelling with multi-agent systems 7.1 Introduction7.2 Multi-agent systems 7.2.1 Concept 7.2.2 Components in MAS modelling7.2.3 Advantages and possible problems in MAS modelling 7.2.4 MAS model construction7.2.5 MAS in aquatic ecological modelling7.3 Multi-agent system for Lake Veluwe, Netherlands 7.3.1 Introduction7.3.2 Conceptual model and operational rules7.3.3 Sensitivity analysis7.3.4 Analysis of model results7.3.4 Discussion 7.4 SummaryChapter 8 A synthesis of physically-based water quality modelling and multi-agent-based population dynamics modelling 8.1 Introduction8.2 Delft3D-WAQ open process library 8.2.1 Background 8.2.2 Adding modules into the DELWAQ open process library 8.3 Synthesis of multi-agent based aquatic plant dynamics model into open process library 8.3.1 Purpose8.3.2 State variables and scales8.3.3 Processes 8.3.4 Sub modules and modelling procedure8.4 Simulation experiments 8.4.1 Sensitivity analysis8.4.2 Application in Lake Veluwe 8.5 Analysis of results8.5.1 Sensitivity analysis results 8.5.2 Modelling results for Lake Veluwe 8.6 Discussion and summary Chapter 9 Conclusions and recommendations9.1 Conclusions9.1.1 Differential equation-based approaches9.1.2 Discrete cellular automata models 9.1.3 Multi-agent systems 9.1.4 A synthesis of a multi-process ecohydraulics system9.2 RecommendationsReferences
Responsibility: by Hong Li.


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