dc.contributor.authorShu, Jian Jun
dc.contributor.authorHuo, Wen Yi
dc.description.abstractNumerical analysis has been shown as an important tool in studying the dynamics of harmful algal blooms, exploring the causes, mechanism and prediction of red tides. In this paper, various multivariate statistical methods and biophysical models are reviewed in examining the roles of biological, chemical, physical factors and biological-physical interactions in red tides. These models have achieved some degrees of success in describing the underlying dynamical processes. However, relatively poor knowledge about physiological responses of bloom species to the physical field has greatly limited the predictive ability of existing models. The improvement of existing models will depend on a better understanding of the physical, physiological, and ecological processes and their interactions.en_US
dc.format.extent15 p.en_US
dc.relation.ispartofseriesWSEAS transactions on environment and developmenten_US
dc.rights© 2005, World Scientific and Engineering Academy and Society(WSEAS). This is the author created version of a work that has been peer reviewed and accepted for publication by WSEAS Transactions on Environment and Development, WSEAS.  It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The Journal official URL is: http://worldses.org/journals/environment/.en_US
dc.subjectDRNTU::Engineering::Mathematics and analysis
dc.subjectDRNTU::Engineering::Environmental engineering::Water supply
dc.titleOn modelling harmful algal bloomsen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.versionAccepted versionen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record