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A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles
Bibliography: leaves 122-136.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Oceanography
2015
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| _version_ | 1867613244719366145 |
|---|---|
| access_status_str | Open Access |
| author | Silulwane, Nonkqubela F |
| author2 | Richardson, Anthony J |
| author_browse | Richardson, Anthony J Silulwane, Nonkqubela F |
| author_facet | Richardson, Anthony J Silulwane, Nonkqubela F |
| author_sort | Silulwane, Nonkqubela F |
| collection | Thesis |
| description | Bibliography: leaves 122-136. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/12582 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:04.194Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Oceanography |
| publisherStr | Department of Oceanography |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/12582 A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles Silulwane, Nonkqubela F Richardson, Anthony J Mitchell-Innes, Betty A Shillington, Frank Oceanography Bibliography: leaves 122-136. In 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. 2015-03-04T19:30:08Z 2015-03-04T19:30:08Z 2001 Master Thesis Masters MSc http://hdl.handle.net/11427/12582 eng application/pdf Department of Oceanography Faculty of Science University of Cape Town |
| spellingShingle | Oceanography Silulwane, Nonkqubela F A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles |
| thesis_degree_str | Master's |
| title | A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles |
| title_full | A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles |
| title_fullStr | A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles |
| title_full_unstemmed | A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles |
| title_short | A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles |
| title_sort | novel quantitative sub provincial approach to characterizing the shape of chlorophyll profiles |
| topic | Oceanography |
| url | http://hdl.handle.net/11427/12582 |
| work_keys_str_mv | AT silulwanenonkqubelaf anovelquantitativesubprovincialapproachtocharacterizingtheshapeofchlorophyllprofiles AT silulwanenonkqubelaf novelquantitativesubprovincialapproachtocharacterizingtheshapeofchlorophyllprofiles |