Thesis (M.S.)--University of Wisconsin--Madison, 1984. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 85-88).

Thesis (M.S. - Hydrology and Water Resources)--University of Arizona, 1984. / Includes bibliographical references (leaves 143-146).

Thesis (M.S.)--Florida State University, 2004. / Advisor: Dr. Henry E. Fuelberg, Florida State University, College of Arts and Sciences, Dept. of Meteorology. Title and description from dissertation home page (viewed Sept. 27, 2004). Includes bibliographical references.

This study represents an attempt to model the disaggregation of daily rainfall at a point into individual storms for the summer rainy season in southeast Arizona. The purpose of the model is to simulate the number of storms per day and the amount, duration and time of occurrence of each event while maintaining daily statistics. Various storm ratios are introduced to describe the disaggregation of a daily amount into individual storm amounts. Marginal distributions are fit to the storm ratios and event starting times. On multiple-event days, starting times are obtained through the use of order statistics. Conditional distributions are fit to the number of storms per day, given a daily amount, and the duration of each event, given a storm amount. The simulated data compare favorably with the observed data. Statistical tests indicate that the model adequately transforms daily rainfall into a sequence of individual storms.

Extreme rainfall events may have catastrophic impacts on the population and infrastructures, therefore it is essential to have accurate knowledge of extreme rainfall characteristics. Moreover, both the scientific community and policymakers have recently shown a growing interest in the potential impacts of climate change on water resources management. Indeed, changes in the intensity and frequency of occurrence of extreme rainfall events may have serious impacts. As such, it is important to understand not only the current patterns of extreme rainfalls but also how they are likely to change in the future. / The objective of the present research is therefore to find the best method for estimating accurately extreme rainfalls for the current time period and future periods in the context of climate change. The analysis of extreme rainfall data from the province of Quebec (Canada) revealed that, according to L-moment ratio diagrams, the data may be well described by the Generalized-Extreme-Value (GEV) distribution. Results also showed that a simple scaling relationship between non-central moments (NCM) and duration can be established and that a scaling method based on NCMs and scaling exponents can be used to generate accurate estimates of extreme rainfalls at Dorval station (Quebec, Canada). Other results demonstrated that the method of NCMs can accurately estimate distribution parameters and can be used to construct accurate Intensity-Duration-Frequency (IDF) curves. / Furthermore, a regional analysis was performed and homogenous regions of weather stations within Quebec were identified. A method for the estimation of missing data at ungauged sites based on regional NCMs was found to yield good estimates. / In addition, the potential impacts of climate change on extreme rainfalls were assessed. Changes in the distribution of annual maximum (AM) precipitations were evaluated using simulations from two Global Climate Models (GCMs) under the A2 greenhouse gas emission scenario: the Coupled Global Climate Model version 2 (CGCM2A2) of the Canadian Centre for Climate Modelling and Analysis, and the Hadley Centre's Model version 3 (HadCM3A2). Simulations from these two models were downscaled spatially using the Statistical DownScaling Model (SDSM). A bias-correction method to adjust the downscaled AM daily precipitations for Dorval station was tested and results showed that after adjustments, the values fit the observed AM daily precipitations well. The analysis of future AM precipitations revealed that, after adjustments, AM precipitations downscaled from CGCM2A2 increase from current to future periods, while AM precipitations downscaled from HadCM3A2 show a mild decrease from current to future periods, for daily and sub-daily scales.

No description available.

Mode of access: World Wide Web. / Thesis (Ph. D.)--University of Hawaii at Manoa, 2004. / Includes bibliographical references (leaves 162-175). / Electronic reproduction. / Also available by subscription via World Wide Web / xx, 175 leaves, bound ill. (some col.), maps (some col.) 29 cm

Thesis (Ph. D.)--University of Hawaii at Manoa, 2004. / Includes bibliographical references (leaves 162-175).

付記する学位プログラム名: グローバル生存学大学院連携プログラム / 京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第21058号 / 工博第4422号 / 新制||工||1687(附属図書館) / 京都大学大学院工学研究科社会基盤工学専攻 / (主査)教授 寶 馨, 教授 堀 智晴, 准教授 佐山 敬洋 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

Submitted by ANDREA TEIXEIRA DE LIMA FRANCESCHINI null (andreafranceschini@globo.com) on 2016-04-29T15:19:08Z No. of bitstreams: 1 ANDREA_FINAL_UHU.pdf: 3602762 bytes, checksum: c42ba78af6b7cd87356ba1f56a3f2c3c (MD5) / Approved for entry into archive by Felipe Augusto Arakaki (arakaki@reitoria.unesp.br) on 2016-05-02T18:27:17Z (GMT) No. of bitstreams: 1 franceschini_atl_me_soro.pdf: 3602762 bytes, checksum: c42ba78af6b7cd87356ba1f56a3f2c3c (MD5) / Made available in DSpace on 2016-05-02T18:27:17Z (GMT). No. of bitstreams: 1 franceschini_atl_me_soro.pdf: 3602762 bytes, checksum: c42ba78af6b7cd87356ba1f56a3f2c3c (MD5) Previous issue date: 2016-03-02 / Este estudo analisou a variabilidade das precipitações ocorridas na área da Unidade de Gerenciamento de Recursos Hídricos Sorocaba e Médio Tietê da Região Hidrográfica do rio Tietê (UGRHI 10) e suas anomalias. Foram escolhidos 50 postos pluviométricos que representaram a área de estudo e adotou-se como intervalo de tempo o período de 1974 a 2008. Foi estudada a precipitação através dos seguintes parâmetros estatísticos: média, desvio padrão, coeficiente de variação, máximos, mínimos e amplitude. Também foi realizado a análise de séries temporais, sendo calculados os índices de concentração diário IC e mensal ICP, além da relação entre a porcentagem de dias consecutivos chuvosos e os percentuais acumulados de precipitação que contribuíram com as percentagens acumuladas de dias durante a ocorrência: PP5, PP10, PP15, PP20, PP50. A heterogeneidade da precipitação mensal foi analisada utilizando o índice de concentração da chuva (ICP), que é a quantidade de chuvas do mês, calculada para cada um dos pluviômetros e para cada ano, durante o período de estudo. A quantificação do déficit ou do excesso de precipitação em diferentes escalas de tempo foi realizada através do cálculo do Índice Padronizado de Precipitação (IPP) verificando a disponibilidade hídrica da área de estudo. Foi aplicada a Geoestatística para verificação da correlação espacial existente entre os postos pluviométricos escolhidos. No resultado destacam-se duas áreas: a primeira abrangendo as regiões sudeste e noroeste e a segunda as regiões centro-leste e centro-oeste. Na primeira que apresenta altitudes e declividades elevadas ocorreram os maiores valores do índice de concentração, enquanto a segunda que apresenta relevo suave e colinas amplas ocorreram os menores valores. Em relação as chuvas mensais, toda a Unidade apresentou concentração moderada. O ano de 1983 foi úmido apresentando excesso de precipitação, conforme observado nos valores de IPP positivos; já 1985 foi um ano seco, com déficit de precipitação onde foram encontrados os maiores valores negativos de IPP. / This study analyzed the variability of precipitation occurred in the area of Sorocaba Water Resources Management Unit and the Middle Tietê River Basin River Tietê (UGRHI 10) and its anomalies 50 rain gauges were chosen representing the study area and adopted as range the time period from 1974 to 2008. He was studying the fallout and its statistical parameters: mean, standard deviation, coefficient of variation, maximum, minimum and amplitude. It was performed the analysis of time series, with calculation of indices of daily IC and monthly ICP concentration and the relation between the percentage of rainy days in a row and the cumulative percentage of precipitation that contributed to the cumulative percentages of days the occurrence: PP5 , PP10, PP15, PP20, PP50. The heterogeneous monthly rainfall was analyzed using the concentration ratio rain ICPs is the amount of rainfall in the month calculated for each of the gauges and for each year during the study period. The quantification of the deficit or excess rainfall in different time scales was performed by calculating the Standardized Precipitation Index (IPP) checking the water availability in the study area. It was applied to Goestatistics to verify the existing spatial correlation between the selected rainfall stations. In the result we highlight two areas: the first covering the southeast and northwest and the second the central-eastern region and the midwest. In the first presenting elevations and slopes occurred the highest values of the concentration index and the second presenting mild relief and large hills showed the lowest values. Regarding the monthly rainfall, the entire unit had moderate concentration. The year 1983 was humid presenting excess rainfall, as noted in its positive IPP values since 1985 was a dry year with rainfall deficit where the biggest negative IPP were found.