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FUZZY AND CONCEPTUAL-FUZZY MODELLING OF COMPLEX RIVER SYSTEMS WITH SCARCE DATA: CASE OF LETABA RIVER
(University of the Witwatersrand, 2011) Katambara, Z.
The investment in water infrastructure on a number of river systems in South Africa and many other regions of the world so as to meet the ever growing demands for water over the last few decades, has not been matched by the implementation of adequate hydrometric data collection and water-use accountability practices. This has resulted in complex rivers systems with scarce data. A typical example in South Africa is the Letaba River system. The main objective of this research was to investigate the applicability of fuzzy inference based and hybrid fuzzy inference-conceptual modelling approaches to highly developed and complex river systems with scarce data using Letaba River as a case study. For completeness, a standalone conceptual model was included and three models were therefore studied; a fuzzy inference, a hybrid fuzzy inference-conceptual, and a standalone conceptual model