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Flood estimation can be classified into two categories, i.e. flood prediction and flood forecasting. Flood prediction is used for the estimation of design floods, which are floods associated with a degree of risk of being equalled or exceeded. Predictions are needed for the design and construction of infrastructure that are at risk to flowing water. Flood forecasting is used for the estimation of flood flows from an impending and/or occurring rainfall event (i.e. the estimation of the magnitude of future flood flows with reference to a specific time in the future). These are needed by catchment and disaster managers for the mitigation of flood damage. The estimation of flood magnitudes for flood forecasting requires the specific knowledge of prevailing surface conditions which are associated with the processes of rainfall conversion into flood runoff. In order to best achieve this, a distributed model (in order to exploit remotely sensed data and capture the spatial scale of the phenomenon) is used to continuously update the surface conditions that are important in this conversion process. This dissertation focuses on both flood estimation categories. In the first part of the dissertation, attention is given to the improvement of two simple event-based design flood prediction methods currently in use by design practitioners, namely the regional maximum flood (RMF) and the rational formula (RF) by comparison with statistically modelled historical flood data. The second part of the dissertation lays the theoretical and practical foundation for the implementation of a fully distributed physically-based rainfall-runoff model for real-time flood forecasting in South Africa. The TOPKAPI model was chosen for this purpose. This aspect of the research involved assimilating the literature on the model, testing the model and gathering and preparing of the input data required by the model for its eventual application in the Liebenbergsvlei catchment. The practical application of the model is left for a follow-up study. / Thesis (M.Sc.Eng.)-University of KwaZulu-Natal, 2007. / Thesis (M.Sc.Eng.)-University of KwaZulu-Natal, 2007

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Approved for public release; distribution is unlimited / This thesis explores the hardware requirements of a local area network and then constructs a multiuser software library package for Turkish Battleships. The software implementation is designed as an expandable package so that future requirements can be met. The software package consists of three major parts. These are Personnel Eval­uations, Combat Information Center and Damage Control. Listings of the programs developed are presented, as well as instructions for their effective use. It is concluded that a PC Local Area network with the proper library programs is feasible for Turkish Battle Ships' computing requirements. / http://archive.org/details/microcomputerapp00gule / Lieutenant Junior Grade, Turkish Navy

The relationship of personality disorders and persistent post concussive syndrome (PPCS) in mild head injury was investigated. Personality disorders were measured with the Millon Clinical Multiaxial Inventory-II (MCM-II). Mild head injury referrals were compared to a moderate head injury group, (n=46), and to a non-head injured neurological control group, (n=93). There was little evidence to suggest that the mild traumatic brain injury (TBI) group had more personality disorders than either of the two comparison groups. The mild TBI group did endorse more passive-aggressive, aggressive-sadistic, self-defeating and borderline personality traits; however, the overall scores were below ranges which indicate a personality disorder. The relationship between personality disorders (the MCMl-Il) and emotional status, as measured by the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) was also examined. Neither maladaptive personality characteristics or psychological distress were related to performance on neuropsychological tests. The results are discussed within the context of physiological and psychological determinants of the PPCS. / Graduate

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