Spatial Pattern Dynamics In Aquatic Ecosystem Modelling
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Spatial Pattern Dynamics in Aquatic Ecosystem Modelling
This thesis focuses on the simulation of spatial patterns in aquatic ecosystems. Various modelling approaches are explored to reveal processes and factors contributing to the spatial pattern development at various scales. Spatial pattern dynamics of aquatic populations in aquatic ecosystems are represented by the combination of models, knowledge and data.
Spatial Pattern Dynamics in Aquatic Ecosystem Modelling
In this work, several modelling approaches are explored to represent spatial pattern dynamics of aquatic populations in aquatic ecosystems by the combination of models, knowledge and data in different scales. It is shown that including spatially distributed inputs retrieved from Remote Sensing images, a conventional physically-based Harmful Algal Bloom model can be enhanced. Also, Cellular Automata based models using high resolution photographs prove to be good in representing aquatic plant growth. Multi-Agent Systems can capture well the spatial patterns exhibited in GIS density maps. A synthesis modelling framework was developed to include biological/ecological growth and diffusive processes, and local effects in conventional modelling framework. The results of the complementary modelling paradigms investigated in this research can be of help in achieving a sustainable environmental management strategy.
Computational Methods and Experimental Measurements XVI
This book contains the results of the sixteenth in a biennial series of meetings organised by the Wessex Institute of Technology to facilitate that communication between scientists who perform experiments, researchers who develop computer codes, and those who carry out measurements on prototypes. The conference was first held in 1984. While computer models are now more reliable and better able to represent more realistic problems, experimental measurements need to be conditioned to the requirements of the computational models. Progress of engineering sciences depends on the orderly and progressive concurrent development of all three fields.The papers contained in the book cover such topics as: Computational and experimental methods; Computer interaction and control of experiments; Fluid flow; Structural and stress analysis; Computer methods; Materials characterization; Heat transfer and thermal processes; Data acquisition and signal processing; Advances in measurements and data acquisition; Multiscale modelling; Industrial applications.