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Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs
Joint Authors
Mok, K. M.
Lou, Inchio
Ung, Wai Kin
Xie, Zhengchao
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Understanding and predicting dynamic change of algae population in freshwater reservoirs is particularly important, as algae-releasing cyanotoxins are carcinogens that would affect the health of public.
However, the high complex nonlinearity of water variables and their interactions makes it difficult to model the growth of algae species.
Recently, support vector machine (SVM) was reported to have advantages of only requiring a small amount of samples, high degree of prediction accuracy, and long prediction period to solve the nonlinear problems.
In this study, the SVM-based prediction and forecast models for phytoplankton abundance in Macau Storage Reservoir (MSR) are proposed, in which the water parameters of pH, SiO2, alkalinity, bicarbonate (HCO3 -), dissolved oxygen (DO), total nitrogen (TN), UV254, turbidity, conductivity, nitrate, total nitrogen (TN), orthophosphate (PO4 3−), total phosphorus (TP), suspended solid (SS) and total organic carbon (TOC) selected from the correlation analysis of the 23 monthly water variables were included, with 8-year (2001–2008) data for training and the most recent 3 years (2009–2011) for testing.
The modeling results showed that the prediction and forecast powers were estimated as approximately 0.76 and 0.86, respectively, showing that the SVM is an effective new way that can be used for monitoring algal bloom in drinking water storage reservoir.
American Psychological Association (APA)
Xie, Zhengchao& Lou, Inchio& Ung, Wai Kin& Mok, K. M.. 2012. Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029569
Modern Language Association (MLA)
Xie, Zhengchao…[et al.]. Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs. Mathematical Problems in Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1029569
American Medical Association (AMA)
Xie, Zhengchao& Lou, Inchio& Ung, Wai Kin& Mok, K. M.. Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029569
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029569