The treatment and the availability of climatological data are essential to the buildings bioclimatic design. Energy efficiency can only be achieved when the plan considers local weather specificities. This study contributes with the subject through the systematization of climate data for the region of Santa Maria, RS. The data were collected to generate the Test Reference Year (TRY), the Typical Meteorological Year (TMY), the bioclimatic chart (via Analysis Bio and Psychros software), weather files compatible with programs such as EnergyPlus and Design Builder, the diagram of winds (wind rose) elaborated by the software Analysis SOL-AR and the typical day of project. Some of these systematizations already existed but they were related to a lower period of years. The study inputted hourly data of twelve years (2002 to 2013) and updated the data treatment methods. The files generation was based in a scientific bibliography and methodologies that have been employed by research groups concerned with the issue, such as works developed by Duffie and Beckmann (1980), Goulart (1993), Pereira (2004), Carlo and Lamberts (2005) and Roriz (2012). The results were conformed in a language accessible to designers and other agents in order to promote its effective use for better energy efficiency and comfort of building users in Santa Maria s region. Is was obtained 28,5% of comfort and 71,5% of discomfort. The ventilation is the main strategy for the summer, with 18,4%. For the cold, the solar heating, with 29,4%, is the best percentage. In relation to the summer winds direction, the predominant orientation is east. Therewith, the major importance of this research is in the knowledge of bioclimatic guidelines that help architects and engineers in architectonic propositions adjusted to the clime, besides the availability of climate files for thermo-energetic simulation. / O tratamento e a disponibilização de dados climáticos para o projeto bioclimático de edificações são fundamentais. A eficiência energética só pode ser atingida quando o projeto considera as especificidades do clima local. Este estudo contribui com o assunto através da sistematização de dados climáticos para a região de Santa Maria, RS. Os dados foram tratados de forma a gerar o Ano Climático de Referência (TRY) e o Ano Meteorológico Típico (TMY), a carta bioclimática (através dos programas Analysis Bio e Psychros), arquivos climáticos compatíveis com programas como o EnergyPlus e Design Builder, o diagrama de ventos (rosa dos ventos) elaborado pelo software Analysis SOL-AR e o dia de projeto típico. Algumas dessas sistematizações já existiam, porém em um período de anos inferior. O estudo incorporou dados horários de doze anos (2002 a 2013) e atualizou os métodos de tratamento de dados. A geração dos arquivos baseou-se em bibliografia científica e metodologias que vêm sendo empregadas por grupos de pesquisa envolvidos no tema, como em trabalhos desenvolvidos por Duffie e Beckmann (1980), Goulart (1993), Pereira (2004), Carlo e Lamberts (2005) e Roriz (2012). Os resultados foram conformados em uma linguagem acessível aos projetistas e outros agentes a fim de promover seu efetivo uso na melhor eficiência energética e conforto dos usuários de edificação da região de Santa Maria. Obtevese 28,5% de conforto e 71,5% de desconforto. A ventilação é a principal estratégia para verão, com 18,4%. Para o frio, o aquecimento solar, com 29,4%, é a maior porcentagem. Em relação à direção de ventos de verão, a orientação predominante é o leste. Com isso, a grande importância dessa pesquisa está no conhecimento de diretrizes bioclimáticas para auxiliar os arquitetos e engenheiros em suas propostas arquitetônicas adequadas ao clima, além da disponibilidade de arquivos climáticos para simulação energética.

No description available.

PURPOSE: The method for streamflow forecasting by using Fourier Series and Multiple Regression as a mathematical model have been suggested and proved with high accuracy for the streamflow forecasting on Logan River, Utah by Professor Cleve H. Milligan and Dr. Rex L. Hurst. In this thesis the method is extended to the forecasting for the Blacksmith Fork River, south of the Logan River. Because the climatological data are not available in the Blacksmith Fork watershed, this thesis also provides a technique for using the available data from adjacent watersheds. OBJECTIVES: 1. To forecast the streamflow on Blacksmith Fork River, Cache County, Utah by using Fourier Series and Multiple Regression as a mathematical model. 2. To test the consistency of the snow, temperature, precipitation, and streamflow data by statistical methods. 3. To test the significance of the variables considered in the mathematical model.

Tall buildings are wind-sensitive structures and could experience high wind-induced effects. Aerodynamic boundary layer wind tunnel testing has been the most commonly used method for estimating wind effects on tall buildings. Design wind effects on tall buildings are estimated through analytical processing of the data obtained from aerodynamic wind tunnel tests. Even though it is widely agreed that the data obtained from wind tunnel testing is fairly reliable the post-test analytical procedures are still argued to have remarkable uncertainties. This research work attempted to assess the uncertainties occurring at different stages of the post-test analytical procedures in detail and suggest improved techniques for reducing the uncertainties. Results of the study showed that traditionally used simplifying approximations, particularly in the frequency domain approach, could cause significant uncertainties in estimating aerodynamic wind-induced responses. Based on identified shortcomings, a more accurate dual aerodynamic data analysis framework which works in the frequency and time domains was developed. The comprehensive analysis framework allows estimating modal, resultant and peak values of various wind-induced responses of a tall building more accurately. Estimating design wind effects on tall buildings also requires synthesizing the wind tunnel data with local climatological data of the study site. A novel copula based approach was developed for accurately synthesizing aerodynamic and climatological data up on investigating the causes of significant uncertainties in currently used synthesizing techniques. Improvement of the new approach over the existing techniques was also illustrated with a case study on a 50 story building. At last, a practical dynamic optimization approach was suggested for tuning structural properties of tall buildings towards attaining optimum performance against wind loads with less number of design iterations.