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

Thesis (M.S.)--Oregon State University, 2001. / Typescript (photocopy). Includes bibliographical references (leaves 45-47). Also available on the World Wide Web.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1969. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 266-273).

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1986. / Vita. Abstract. Includes bibliographical references (leaves 143-148). Also available via the Internet.

Thesis (Ph. D.)--University of Texas at Austin, 2005. / Vita. Includes bibliographical references.

Flood is one of the major natural disasters in Australia. It breaks down transportation and communication systems, disrupts businesses and causes damage to properties, loss of stock, crops and also loss of human lives. Better understanding of the impacts resulting from floods and other natural hazards can help to reduce the damages or losses. Flood damage assessment procedures estimate the impact of flood in monetary terms to help decision makers develop new policies, programs and development plans. This study examines different techniques, procedures and underpinning philosophies that have been used in some major emergency management and insurance organizations in the world such as RAM, ANUFLOOD, and HAZUS and NHRC. From this examination the study finds that none of them are suitable for mitigation and emergency purposes in producing economic flood damage estimation at fine resolution with high accuracy. From this perspective the study develops a rigorous procedure for property level economic flood damage assessment. The assessment procedures are embedded within GIS (Geographic Information System) technology which can model and analyse the multidimensional phenomenon of flood and damage characteristics of residential buildings. The damage estimation procedures developed in this study include flood modelling, collection and organisation of building inventory data; adopting a set of stage-damage curves; and measuring damage at property level. The quality of damage estimates derived from the procedures is highly influenced by quality of input data. The study also includes the implementation of the damage assessment procedure on the study area (a segment of Kororoit Creek and its adjacent area). The study uses data from a number of sources including Melbourne Water, NEXIS, VICMAP, a quick survey and literature. The developed procedure will help many practitioners in flood loss assessment and natural hazard risk management to face the challenges they have in establishing damage estimates with high accuracy.

Thesis (M. Phil.)--University of Hong Kong, 1979.

No description available.

No description available.

Thesis (M.S. - Hydrology and Water Resources)--University of Arizona. / Includes bibliographical references (leaves 168-171).