The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs
Joint Authors
Bai, Xiao-zhe
Zhang, Hui-yan
Wang, Xiao-yi
Wang, Li
Xu, Ji-ping
Yu, Jia-bin
Source
Advances in Mathematical Physics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Globally, cyanobacteria blooms frequently occur, and effective prediction of cyanobacteria blooms in lakes and reservoirs could constitute an essential proactive strategy for water-resource protection.
However, cyanobacteria blooms are very complicated because of the internal stochastic nature of the system evolution and the external uncertainty of the observation data.
In this study, an adaptive-clustering algorithm is introduced to obtain some typical operating intervals.
In addition, the number of nearest neighbors used for modeling was optimized by particle swarm optimization.
Finally, a fuzzy linear regression method based on error-correction was used to revise the model dynamically near the operating point.
We found that the combined method can characterize the evolutionary track of cyanobacteria blooms in lakes and reservoirs.
The model constructed in this paper is compared to other cyanobacteria-bloom forecasting methods (e.g., phase space reconstruction and traditional-clustering linear regression), and, then, the average relative error and average absolute error are used to compare the accuracies of these models.
The results suggest that the proposed model is superior.
As such, the newly developed approach achieves more precise predictions, which can be used to prevent the further deterioration of the water environment.
American Psychological Association (APA)
Bai, Xiao-zhe& Zhang, Hui-yan& Wang, Xiao-yi& Wang, Li& Xu, Ji-ping& Yu, Jia-bin. 2017. The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs. Advances in Mathematical Physics،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1123327
Modern Language Association (MLA)
Bai, Xiao-zhe…[et al.]. The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs. Advances in Mathematical Physics No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1123327
American Medical Association (AMA)
Bai, Xiao-zhe& Zhang, Hui-yan& Wang, Xiao-yi& Wang, Li& Xu, Ji-ping& Yu, Jia-bin. The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs. Advances in Mathematical Physics. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1123327
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123327