FUZZY AND CONCEPTUAL-FUZZY MODELLING OF COMPLEX RIVER SYSTEMS WITH SCARCE DATA: CASE OF LETABA RIVER
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Date
2011
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University of the Witwatersrand
Abstract
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
Description
Keywords
water infrastructure, river systems, Fuzzy