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The Multivariate Statistical Analysis of Abiotic Parameters of the Lake Tanganyika Sub Catchment


H. H. Nkotagu

Abstract

Results  from  multivariate  statistical  analysis  of  abiotic  parameters  conducted  during  the  dry  season  at  20  accessible  sites  on  8  rivers,  2  lakes  and  a  dam  covering the Lake Tanganyika sub catchment are discussed. Standard  methods  were  used  to  determine  the  levels  of  abiotic  parameters  from  water  samples.  Physical  parameters including DO, EC, Eh, turbidity, temperature, pH and secchi transparency were measured in situ while  chlorophyll  a  was  determined  in  the  laboratory.  Nutrients  such  as  NO3-,  SiO2,  PO43- and  Fe2+  were  determined  along  with  HCO3-.  Factor  analysis  resulted  in  four  factors  including  increased  primary  productivity,   redox   conditions,   dissolution,   and   reduction   processes.   Processes   including   dissolution,   diffusion,   adsorption,   absorption,   nitrification,   denitrification,   mixing   and   reduction   along   with   the   anthropogenic activities, increased photosynthetic activity of algae and the geomorphology of the ecosystems contribute  to  the  variation  of  the  abiotic  parameters.  It  is  recommended  that  quantification  of  river  flows,  sediment load and nutrient budget at various sampling points be determined seasonally for proper evaluation of the hydrologic and limnological functioning of the ecosystem


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eISSN: 2619-8789
print ISSN: 1821-536X