UM
Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs
Zhengchao Xie2; Inchio Lou2; Wai Kin Ung1; Kai Meng Mok2
2012-12-01
Source PublicationMathematical Problems in Engineering
ISSN1024123X 15635147
Volume2012
Abstract

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, SiO alkalinity, bicarbonate (HCO 3 -), dissolved oxygen (DO), total nitrogen (TN), UV turbidity, conductivity, nitrate, total nitrogen (TN), orthophosphate (PO 4 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. © 2012 Zhengchao Xie et al.

DOIhttp://dx.doi.org/10.1155/2012/397473
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Mathematics
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000312789200001
PublisherHINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA
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Cited Times [WOS]:17   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorInchio Lou
Affiliation1.Laboratory & Research Center, Macao Water Supply Co. Ltd., Conselheiro Borja, Macau
2.Faculty of Science and Technology, University of Macau, Taipa, Macau
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Zhengchao Xie,Inchio Lou,Wai Kin Ung,et al. Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs[J]. Mathematical Problems in Engineering,2012,2012.
APA Zhengchao Xie,Inchio Lou,Wai Kin Ung,&Kai Meng Mok.(2012).Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs.Mathematical Problems in Engineering,2012.
MLA Zhengchao Xie,et al."Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs".Mathematical Problems in Engineering 2012(2012).
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