Thesis (M.E.F.E.)--Iniversity of Canterbury, 2004. / Typescript (photocopy). "October 2004." Includes bibliographical references. Also available via the World Wide Web.

Thesis (M.S.)--Mississippi State University. Department of Geosciences. / Title from title screen. Includes bibliographical references.

"The purpose of this thesis is to demonstrate and enhance the technical basis of the procedure for evaluating lifesafety within the Building Firesafety Engineering Method (BFSEM). A framework for the analysis has been documented, but not extensively tested in a building situation. Hence, procedures to obtain the necessary input data and to evaluate that data needed to be developed. In addition, the general framework had to be tested rigorously enough to identify weaknesses. "

Thesis (M. App. Sc.)--Carleton University. / Includes bibliographical references (p. 228-236). Also available in electronic format on the Internet.

Thesis (M. App. Sc.)--Carleton University, 2005. / Includes bibliographical references (p. 322-325). Also available in electronic format on the Internet.

Thesis (M.E.F.E.)--University of Canterbury, 2007. / Typescript (photocopy). Includes bibliographical references (p. 136-143). Also available via the World Wide Web.

Thesis (M.S.)--Mississippi State University. Department of Geosciences. / Title from title screen. Includes bibliographical references.

Thesis (M.S.) -- Mississippi State University. Department of Geosciences. / Title from title screen. Includes bibliographical references.

Due to the tragedy that occurred in the city of Santa Maria, the fire of the nightclub Kiss, emerged in the state of Rio Grande do Sul the need for a more current, more rigid and more effective legislation for prevention and fire protection. This paper aims to identify the index of fire safety in buildings of an institution of higher education that are in accordance with current legislation prevention and fire protection in the state of Rio Grande do Sul. The method the risk assessment of fire used this study is the method Gretener. The technique that will be used in this exploratory research is the case study, applied to buildings of an institution of higher education with Plan for the Prevention and Protection against fires (PPCI) developed under state law and distinct classifications as the occupation. The findings indicated that all buildings analyzed present an acceptable fire safety index according to the Gretener method and does not require any intervention on the safety measures against fire. Therefore the state law stick with your goal is, among others, establish a set of effective measures of prevention and fire protection for buildings. / Em decorrência da tragédia ocorrida na cidade de Santa Maria, o incêndio da boate Kiss, surgiu no estado do Rio Grande do Sul a necessidade de uma legislação mais atual, mais rígida e mais efetiva em relação a prevenção e proteção contra incêndio. O presente trabalho propõe identificar o índice de segurança contra incêndio de edificações de uma instituição de ensino superior que estão em conformidade com a atual legislação estadual de prevenção e proteção contra incêndio do estado do Rio Grande do Sul. O método de avaliação do risco de incêndio utilizado neste estudo é o Método de Gretener. A técnica utilizada nesta pesquisa exploratória é o estudo de caso, aplicado em prédios de uma instituição de ensino superior com Plano de Prevenção e Proteção Contra Incêndio (PPCI) elaborados conforme a legislação estadual e com classificações distintas quanto a ocupação. Os resultados desse trabalho indicaram que todas as edificações analisadas apresentam um índice de segurança contra incêndio aceitável de acordo com o método de Gretener, não necessitando de nenhum tipo de intervenção nas medidas de segurança contra incêndio. Portanto a legislação estadual cumpre com seu objetivo que é, dentre outros, estabelecer um conjunto de medidas eficientes de prevenção e proteção contra incêndio para as edificações.

M.Sc. / The need for a fire-induced flashover (power line arcing to the ground) probability index for Eskom transmission (high voltage power) lines became evident soon after the installation the Advanced Fire Information System (AFIS) in 2004. AFIS is a satellite based fire detection system that utilizes polar and geostationary satellite sensors to detect fires as small as 50 m x 50 m in size. As soon as a fire is detected by either, the Terra, and Aqua Moderate Resolution Imaging Spectro-radiometer (MODIS) or Meteosat Second Generation (MSG) geostationary satellites close to any of the 28 000 km of Eskom transmission lines, a cell phone and email text warning is sent out to line managers responsible for the management of the particular section of line affected. Between 3000 - 6000 fires are recorded annually close to Eskom transmission lines with a fire-induced flashover rate of 100 - 150 transmission line trips per year. Fire-induced flashovers occur when the air around high voltage transmission lines are ionised due to a hot flame (> 500° C). As the air becomes conductive, electricity can move from the line to the ground in the form of a lightning flash. Studies have shown that one flashover can cause an average of three voltage depressions (dips) on the electrical transmission system, and each voltage depression can cause damage to a customer’s production ranging between R5000 and R150000 per dip. The aim of this study was to develop a prediction model with the ability to accurately predict fire-induced flashover occurrences on Eskom transmission lines in order to reduce the large amount of false alarms (SMS and email messages) produced annually by AFIS. The prediction model in the form of a probability index was derived from a combination of remote sensing satellite products as well as weather forecast variables. With the MODIS active fire product as base layer, weather forecast variables in the form of air temperature, relative humidity, wind speed and wind direction, as well as topographical elevation and a satellite derived vegetation condition product served as input to the predictor data set of the model, while flashover statistics for 2007 provided the target data set within a Classification and Regression Tree (CART) analysis. iii The prediction capabilities for each of the variables were evaluated based on their prediction accuracy and Receiver Operation Characteristic (ROC) value in terms of the validation data set. Wind speed, relative humidity, wind direction and air temperature were shown to have the highest predictor importance and were used to develop the probability index calculated from a logistic regression analysis. The Fire-induced Flashover Probability Index (FIFPI) was tested through simulations of predictor variables and was also compared to existing Fire Danger Indices (Willis et al. 2001). The FIFPI was able to outperform most of the standard Fire Danger Indices (FDI’s) with only the McArthur Grassland Index (MK 4) which demonstrated some prediction capability. The importance of wind direction as an environmental component in the prediction of flashovers became clear as it tended to decrease the misclassification rate from 4.45% when only wind speed, relative humidity and temperature were used to 3.87% when wind direction was added. The research has shown that wind speed, wind direction, relative humidity and temperature can be used as an indicator of possible fire-induced flashovers underneath Eskom transmission lines. However, additional research is needed to verify the results from 2007. Ideally at least 3 years of data should be used.