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Department of Oceanography
A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles
Abstract
dc:description.abstractIn this study, novel approaches such as artificial neural networks and generalized modelling have highlighted the variability in profile shape and enabled its improved prediction. This will lead to superior regional estimates of primary production.
Degree
thesis:*- Grantor dc:publisher.institution
- Department of Oceanography
- Year dc:date.issued
- 2001
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Silulwane, Nonkqubela F
- Advisors dc:contributor.advisor
-
- Richardson, Anthony J
- Mitchell-Innes, Betty A
- Shillington, Frank
Rights
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/11427/12582
- OAI identifier oai:identifier
- oai:open.uct.ac.za:11427/12582