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dc.contributor.advisorDu Plessis, S.
dc.contributor.authorVan Ginkel, C.E.
dc.date.accessioned2009-10-29T06:43:52Z
dc.date.available2009-10-29T06:43:52Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/10394/2305
dc.descriptionThesis (Ph.D. (Botany))--North-West University, Potchefstroom Campus, 2008.
dc.description.abstractThe occurrence and extent of harmful algal blooms (especially cyanobacteria and dinoflagellates) seem to be increasing worldwide. For water resource managers to be prepared for these events, and to enable managers to warn potable industry and recreational users of these incidents, it is essential to develop predictive capability as a part of the management actions.
dc.publisherNorth-West University
dc.titleInvestigating the applicability of ecological informatics modelling techniques for predicting harmfull algal blooms in hypertrophic reservoirs of South Africaen
dc.typeThesisen
dc.description.thesistypeDoctoral


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