A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles

 

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dc.contributor.advisor Richardson, Anthony J en_ZA
dc.contributor.advisor Mitchell-Innes, Betty A en_ZA
dc.contributor.advisor Shillington, Frank en_ZA
dc.contributor.author Silulwane, Nonkqubela F en_ZA
dc.date.accessioned 2015-03-04T19:30:08Z
dc.date.available 2015-03-04T19:30:08Z
dc.date.issued 2001 en_ZA
dc.identifier.citation Silulwane, N. 2001. A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/12582
dc.description Bibliography: leaves 122-136. en_ZA
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Oceanography en_ZA
dc.title A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles en_ZA
dc.type Masters Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Oceanography en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Silulwane, N. F. (2001). <i>A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Oceanography. Retrieved from http://hdl.handle.net/11427/12582 en_ZA
dc.identifier.chicagocitation Silulwane, Nonkqubela F. <i>"A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Oceanography, 2001. http://hdl.handle.net/11427/12582 en_ZA
dc.identifier.vancouvercitation Silulwane NF. A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Oceanography, 2001 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/12582 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Silulwane, Nonkqubela F AB - 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. DA - 2001 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2001 T1 - A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles TI - A novel quantitative, sub-provincial approach to characterizing the shape of chlorophyll profiles UR - http://hdl.handle.net/11427/12582 ER - en_ZA


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