DocumentCode
2913707
Title
On detecting and predicting harmful algal blooms in coastal information systems
Author
Shahriar, Md Sumon ; D´Este, Claire ; Rahman, Ashfaqur
Author_Institution
Intell. Sensing & Syst. Lab., CSIRO ICT Centre, Hobart, TAS, Australia
fYear
2012
fDate
21-24 May 2012
Firstpage
1
Lastpage
3
Abstract
In this paper, we present results of predicting algal blooms in one estuary in South East Tasmania, Australia. Further we also present results of a detection method for harmful algal blooms in another estuary in the same region. The research on detecting and predicting algal blooms is towards building a decision support system that will benefit both aquaculture and health services for decision making purposes.
Keywords
aquaculture; decision making; decision support systems; microorganisms; Australia; South East Tasmania; aquaculture; coastal information systems; decision making; decision support system; estuary region; harmful algal bloom detection; harmful algal bloom prediction; health services; Algae; Australia; Biological system modeling; Data models; Linear regression; Neural networks; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2012 - Yeosu
Conference_Location
Yeosu
Print_ISBN
978-1-4577-2089-5
Type
conf
DOI
10.1109/OCEANS-Yeosu.2012.6263406
Filename
6263406
Link To Document