Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/52317
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Type: Journal article
Title: Forecasting and explanation of algal dynamics in two shallow lakes by recurrent artificial neural network and hybrid evolutionary algorithm
Author: Talib, A.
Recknagel, F.
Cao, H.
van der Molen, D.
Citation: Mathematics and Computers in Simulation, 2008; 78(2-3):424-434
Publisher: Elsevier Science BV
Issue Date: 2008
ISSN: 0378-4754
1872-7166
Statement of
Responsibility: 
A. Talib, F. Recknagel, H. Cao and D.T. van der Molen
Abstract: Long-term time-series of the two eutrophic Dutch lakes Veluwemeer and Wolderwijd were subject to predictive modelling by recurrent supervised ANN (RANN) and hybrid evolutionary algorithms (HEA). A combination of bottom-up and top-down eutrophication control measures has been implemented in both lakes since 1979. Dividing the time-series data into training and validation datasets based on three distinctive management periods has facilitated a comparative analysis of the two lakes regarding the long-term dynamics in response to eutrophication control. Results of the study have demonstrated that RANN and HEA can be applied for (1) 5-day-ahead prediction of Oscillatoria spp. and (2) 5-day-ahead prediction of Scenedesmus spp. Firstly RANN achieved reasonably accurate results for 5-day-ahead forecasting of abundances of blue-green algae Oscillatoria and green algae Scenedesmus in both lakes. Secondly HEA achieved similar good forecasting results and also provided model representations for both algae species in the form of rule sets. The limitation with single lake models is that the rule sets discovered are lake specific. Merging of the two lake datasets using merged lake models for both training and testing have produced simpler and generic rule sets that explain the dynamics of Oscillatoria and Scenedesmus for both lakes. The results from this study have shown that both external nutrient control combined with food web manipulation have turned the lakes from hypereutrophic conditions and from Oscillatoria to Scenedesmus dominance. These complex dynamics that are associated with the shift from periods of turbid with Oscillatoria dominance to clear-water conditions with increased Scenedesmus in both lakes are predictable and can be explained by the key-driving variables in the generic rule sets discovered.
Keywords: Recurrent supervised ANN; Hybrid evolutionary algorithms; Forecasting; Eutrophication control; Phytoplankton succession
Description: Copyright © 2008 IMACS Published by Elsevier Ltd.
RMID: 0020080865
DOI: 10.1016/j.matcom.2008.01.037
Description (link): http://www.elsevier.com/wps/find/journaldescription.cws_home/505615/description#description
Appears in Collections:Earth and Environmental Sciences publications
Environment Institute publications

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