Mathematical Modelling as a Tool for Assessment of North Sea Pollution

Pagee, J.A. van; Glas, P. C. G.; Markus, Arjen; Postma, L.

doi:10.1007/978-3-642-73709-1_22

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…The bloom Besides, the water quality and biological data are usually spare and uncertain for detailed analysis (Chen and Mynett, 2003a). In the last decade, a number of studies have been conducted in this area (Cadée, 1982(Cadée, , 1991Lancelot et al, 1987;Lancelot, 1990;Gieskes and Schaub, 1990;Escaravage et al, 1995;Brussaard et al, 1995;Cadée and Hegeman, 2002;Peperzak, 1993Peperzak, , 2002 and some numerical models had been set up to simulate the water quality and eutrophication (Postma et al, 1987;Los and Brinkman, 1988;Van Pagee et al, 1988;Villars, 1997;Huthnance, 1997;Moll and Radach, 2003). These numerical models are mainly based on detail description of physical processes and usually have many parameters for calibration.…”

Section: Introductionmentioning

confidence: 99%

Modelling algal blooms in the Dutch coastal waters by integrated numerical and fuzzy cellular automata approaches

Chen

Mynett

2006

Ecological Modelling

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Dutch coastal waters Cellular automata Fuzzy logic Delft3D-WAQ a b s t r a c tIn this paper, an integrated numerical and fuzzy cellular automata model was developed to predict possible algal blooms in Dutch coastal waters basing on the irradiance, nutrients and neighbourhood conditions. The numerical module used Delft3D-WAQ to compute the abiotic conditions, and fuzzy cellular automata approach was applied to predict the algal biomass that was indicated by chlorophyll a concentration. The simulated results of year 1995 were compared with that from BLOOM II model, and the advantages, disadvantages as well as future improvement were presented. In general, through this study, it is seen that the integrated modelling deserves more research inputs because: (1) the hydrodynamic processes and nutrients concentrations can be simulated in details by numerical method;(2) the irregular and sparse water quality and biological data, and the empirical knowledge from experts can be explored by the fuzzy logic technique; (3) the spatial heterogeneity, local interactions and the emerge of patchiness could be well captured through the cellular automata paradigm.

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