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The purpose of this project was to propose and validate a stochastic rainfall time series model for the UK, where the model is to be applied to the design of sewer systems. After reviewing the literature, the Neyman-Scott Rectangular Pulses model was selected as being potentially suitable for the project. Some mathematical properties for the model were derived, and used to fit the model to 10 years of hourly rainfall time series. The model performed well, and so could be used with reasonable confidence for the remaining part of the project. A full investigation was carried out to find an optimum combination of historical rainfall statistics to be used to fit the model to hourly rainfall time series. A method of fitting the model to daily rainfall time series was also required. It was found that the hourly rainfall statistics used to fit the model to the hourly rainfall time series could successfully be predicted from daily rainfall statistics. Regression equations were developed so that the mean and variance of the maximum daily rainfalls could be predicted using the parameters of the model. These regression equations were included in the fitting procedure when the model showed a poor fit to the historical daily maxima, so that the model was then able to closely match the historical maxima. The model was fitted to rainfall data taken from 112 sites scattered throughout the UK. The parameters of the model were regressed on site characteristics (e. g. altitude, distance from coast, etc), so that the model could be used to generate hourly rainfall time series at sites lacking in data. Finally, a method of disaggregating the generated hourly rainfall time series to 5 minutely time series was developed and tested.

Building a new software system requires careful planning and investigation in order to avoid any problems in the later stages of the development. By using a universally accepted design notation such as the Unified Modeling Language (UML), ambiguities in the system specification can be eliminated or minimised. The aspect that frequently needs to be investigated before the implementation stage can be commenced concerns the proposed system’s performance. It is necessary to predict whether a particular design will meet the performance requirement - i.e. is it worth implementing the system - or not. One way to obtain this performance prediction is by using simulation programs to mimic the execution of the system. Unfortunately, it is often difficult to transform the design into a simulation program without some sound knowledge of simulation techniques. In addition, new simulation programs need to be built each time for different systems - which can be tedious, time consuming and error prone. The currently available UML tools do not provide any facilities for generating simulation programs automatically from UML specifications. This shortcoming is the main motivation for this research. The work involved here includes an investigation of which UML design notations can be used; the available simulation languages or environments for running the simulation; and more importantly, a framework that can capture the simulation information from UML design notation. Using this framework, we have built tools that enable an automatic transformation of a UML design notation into a simulation program. Two tools (parsers) that can perform such a transformation have been constructed. We provide case studies to demonstrate the applicability of these tools and the usefulness of our simulation framework in general.

Thesis (M.S.)--University of Texas at Dallas, 2007. / Includes vita. Includes bibliographical references (leaves 67-73)

Thesis (M.Eng.Sc.)--University of Adelaide, Dept. of Engineering, 1999. / Bibliography: leaves 109-113.

Thesis (Ph. D.)--Washington State University, August 2008. / Includes bibliographical references (p. 131-141).

Thesis (Ph.D.)--University of Central Florida, 2008. / Adviser: James F. Courtney. Includes bibliographical references (p. 231-236).

Thesis (M.S.)--Ohio University, June, 1994. / Title from PDF t.p.

Thesis (M.S. in Electrical Engineering (Space Systems Engineering))--Naval Postgraduate School, June 1990. / Thesis Advisor(s): Ewing, Gerald R. Second Reader: Panholzer, Rudolf. "June 1990." Description based on signature page as viewed on October 20, 2009. DTIC Indicator(s): Electrical Power Supplies, Solar arrays, Petite satellites, Amateur satellites, DC DC Converters. Author(s) subject terms: PANSAT satellite, electrical power system, battery charge regulator. Includes bibliographical references (p. 111-114). Also available online.