Time-varying nonlinear modeling and analysis of algal bloom dynamics

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• 作者：Li Wang ; Xiaoyi Wang ; Jiping Xu ; Huiyan Zhang ; Junyang Yao ; Xuebo Jin…
• 关键词：Time ; varying model ; Ecological dynamics ; Nonlinear ; Optimization ; Algal bloom
• 刊名：Nonlinear Dynamics
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：84
• 期：1
• 页码：371-378
• 全文大小：900 KB
• 参考文献：1.Zaiwen, L., Siying, L., Xiaoyi, W., et al.: Forecast methods for algal bloom in rivers and lakes. Water Resour. Prot. 05, 42–47 (2008)
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• 作者单位：Li Wang (1)
  Xiaoyi Wang (1)
  Jiping Xu (1)
  Huiyan Zhang (1)
  Junyang Yao (1)
  Xuebo Jin (1)
  Cuiling Liu (1)
  Yan Shi (1)
  
  1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048, China
  
• 刊物类别：Engineering
• 刊物主题：Vibration, Dynamical Systems and Control
  Mechanics
  Mechanical Engineering
  Automotive and Aerospace Engineering and Traffic
  
• 出版者：Springer Netherlands
• ISSN：1573-269X

文摘

The ecological dynamic models of algal bloom in existence are of poor environmental adaptability and hard to reflect nonlinear dynamic change of algal bloom formation mechanism. To solve this problem, time variable is applied to mechanism-based model according to algal bloom nonlinear dynamic in this paper, and mechanism feature of algal bloom is represented by time function model and effecting function model. Data-driven modeling approaches including tabu search and genetic algorithm are also adopted to optimize structure and parameter for the time-varying nonlinear modeling to improve environmental adaptability and accuracy of the model. High-precision numerical solutions of the optimized time-varying nonlinear model is obtained by fourth-order Adams predictor–corrector method. This method finally realizes effective prediction of algal bloom.