Modelagem estatística e atribuições dos eventos de precipitação extrema na Amazônia brasileira

Intense precipitation events (IPE) have been causing great social and economic losses in the affected regions. In the Amazon, these events can have serious impacts, primarily for populations living on the margins of its countless rivers, because when water levels are elevated, floods and/or inundations are generally observed. Thus, the main objective of this research is to study IPE, through Extreme Value Theory (EVT), to estimate return periods of these events and identify regions of the Brazilian Amazon where IPE have the largest values. The study was performed using daily rainfall data of the hydrometeorological network managed by the National Water Agency (Agência Nacional de Água) and the Meteorological Data Bank for Education and Research (Banco de Dados Meteorológicos para Ensino e Pesquisa) of the National Institute of Meteorology (Instituto Nacional de Meteorologia), covering the period 1983-2012. First, homogeneous rainfall regions were determined through cluster analysis, using the hierarchical agglomerative Ward method. Then synthetic series to represent the homogeneous regions were created. Next EVT, was applied in these series, through Generalized Extreme Value (GEV) and the Generalized Pareto Distribution (GPD). The goodness of fit of these distributions were evaluated by the application of the Kolmogorov-Smirnov test, which compares the cumulated empirical distributions with the theoretical ones. Finally, the composition technique was used to characterize the prevailing atmospheric patterns for the occurrence of IPE. The results suggest that the Brazilian Amazon has six pluvial homogeneous regions. It is expected more severe IPE to occur in the south and in the Amazon coast. More intense rainfall events are expected during the rainy or transitions seasons of each sub-region, with total daily precipitation of 146.1, 143.1 and 109.4 mm (GEV) and 201.6, 209.5 and 152.4 mm (GPD), at least once year, in the south, in the coast and in the northwest of the Brazilian Amazon, respectively. For the south Amazonia, the composition analysis revealed that IPE are associated with the configuration and formation of the South Atlantic Convergence Zone. Along the coast, intense precipitation events are associated with mesoscale systems, such Squall Lines. In Northwest Amazonia IPE are apparently associated with the Intertropical Convergence Zone and/or local convection.

Relações entre perfil de valores e perfil de uso da tecnologia: Um estudo com os docentes que atuam na modalidade presencial e/ou no ensino a distância

O advento das novas tecnologias e a dinamicidade das mudanças que estas provocam, impactam diretamente em vários aspectos da sociedade, dentre estes, na educação. Novas metodologias e mudanças no processo de ensino-aprendizagem tornam-se práticas cada vez mais frequentes neste campo. O elemento basilar desta nova constituição é o docente, capaz de transformar a utilização desses recursos em ferramentas que favoreçam o processo educativo. Essa readequação do comportamento exigida por essas constantes mudanças é orientada pelos valores pessoais dos sujeitos que vivenciam a situação. Os valores são idealizados como critérios que interferem diretamente nas atitudes, preferências e até mesmo no comportamento humano, influenciando no modo como o indivíduo interpreta as suas próprias atitudes e as dos outros, inclusive no âmbito profissional. Dessa forma, o objetivo geral da presente pesquisa é analisar as relações entre o perfil de uso da tecnologia e os valores dos docentes da UFRN Universidade Federal do Rio Grande do Norte, baseado na escala de valores de Schwartz. Para isso foram utilizados os tipos motivacionais que compõem a teoria de valores de Schwartz, através de questionário aplicado junto aos docentes. Trata-se de uma pesquisa de enfoque analítico quantitativo que utiliza um questionário da escala de valores desenvolvida por Schwartz et al. (2001) conhecida como PVQ (Portrait Values Questionnaire). A pesquisa foi desenvolvida a partir de uma amostra de 200 docentes entre atuantes da modalidade presencial e/ou na modalidade de ensino a distância. A estratégia de análise dos dados utilizou técnicas de estatística descritiva, análise de gráficos, análise das frequências relativas e a técnica estatística MANOVA (Análise Multivariada de Variância). Os resultados apontaram que os docentes utilizam moderadamente os recursos tecnológicos avaliados nesta pesquisa, como ferramenta de apoio pedagógico. Com relação ao perfil de valores, os docentes apresentaram prioridade entre os tipos motivacionais Autodeterminação, Benevolência e Universalismo, enquanto os menos priorizados foram os de Tradição, Realização e Poder, respectivamente. Contudo, não foram identificadas relações significativas entre o perfil de valores e o perfil de uso da tecnologia entre os docentes estudados nesta pesquisa

Dowscaling estocástico para extremos climáticos via interpolação espacial

Present day weather forecast models usually cannot provide realistic descriptions of local and particulary extreme weather conditions. However, for lead times of about a small number of days, they provide reliable forecast of the atmospheric circulation that encompasses the subscale processes leading to extremes. Hence, forecasts of extreme events can only be achieved through a combination of dynamical and statistical analysis methods, where a stable and significant statistical model based on prior physical reasoning establishes posterior statistical-dynamical model between the local extremes and the large scale circulation. Here we present the development and application of such a statistical model calibration on the besis of extreme value theory, in order to derive probabilistic forecast for extreme local temperature. The dowscaling applies to NCEP/NCAR re-analysis, in order to derive estimates of daily temperature at Brazilian northeastern region weather stations

Modelos de dispersão para extremos de precipitação. Estudo de caso: o nordeste do Brasil

In this thesis used four different methods in order to diagnose the precipitation extremes on Northeastern Brazil (NEB): Generalized Linear Model s via logistic regression and Poisson, extreme value theory analysis via generalized extre me value (GEV) and generalized Pareto (GPD) distributions and Vectorial Generalized Linea r Models via GEV (MVLG GEV). The logistic regression and Poisson models were used to identify the interactions between the precipitation extremes and other variables based on the odds ratios and relative risks. It was found that the outgoing longwave radiation was the indicator variable for the occurrence of extreme precipitation on eastern, northern and semi arid NEB, and the relative humidity was verified on southern NEB. The GEV and GPD distribut ions (based on the 95th percentile) showed that the location and scale parameters were presented the maximum on the eastern and northern coast NEB, the GEV verified a maximum core on western of Pernambuco influenced by weather systems and topography. The GEV and GPD shape parameter, for most regions the data fitted by Weibull negative an d Beta distributions (ξ < 0) , respectively. The levels and return periods of GEV (GPD) on north ern Maranhão (centerrn of Bahia) may occur at least an extreme precipitation event excee ding over of 160.9 mm /day (192.3 mm / day) on next 30 years. The MVLG GEV model found tha t the zonal and meridional wind components, evaporation and Atlantic and Pacific se a surface temperature boost the precipitation extremes. The GEV parameters show the following results: a) location ( ), the highest value was 88.26 ± 6.42 mm on northern Maran hão; b) scale ( σ ), most regions showed positive values, except on southern of Maranhão; an d c) shape ( ξ ), most of the selected regions were adjusted by the Weibull negative distr ibution ( ξ < 0 ). The southern Maranhão and southern Bahia have greater accuracy. The level period, it was estimated that the centern of Bahia may occur at least an extreme precipitatio n event equal to or exceeding over 571.2 mm/day on next 30 years.

Relações entre perfil de valores e perfil de uso da tecnologia: Um estudo com os docentes que atuam na modalidade presencial e/ou no ensino a distância

O advento das novas tecnologias e a dinamicidade das mudanças que estas provocam, impactam diretamente em vários aspectos da sociedade, dentre estes, na educação. Novas metodologias e mudanças no processo de ensino-aprendizagem tornam-se práticas cada vez mais frequentes neste campo. O elemento basilar desta nova constituição é o docente, capaz de transformar a utilização desses recursos em ferramentas que favoreçam o processo educativo. Essa readequação do comportamento exigida por essas constantes mudanças é orientada pelos valores pessoais dos sujeitos que vivenciam a situação. Os valores são idealizados como critérios que interferem diretamente nas atitudes, preferências e até mesmo no comportamento humano, influenciando no modo como o indivíduo interpreta as suas próprias atitudes e as dos outros, inclusive no âmbito profissional. Dessa forma, o objetivo geral da presente pesquisa é analisar as relações entre o perfil de uso da tecnologia e os valores dos docentes da UFRN Universidade Federal do Rio Grande do Norte, baseado na escala de valores de Schwartz. Para isso foram utilizados os tipos motivacionais que compõem a teoria de valores de Schwartz, através de questionário aplicado junto aos docentes. Trata-se de uma pesquisa de enfoque analítico quantitativo que utiliza um questionário da escala de valores desenvolvida por Schwartz et al. (2001) conhecida como PVQ (Portrait Values Questionnaire). A pesquisa foi desenvolvida a partir de uma amostra de 200 docentes entre atuantes da modalidade presencial e/ou na modalidade de ensino a distância. A estratégia de análise dos dados utilizou técnicas de estatística descritiva, análise de gráficos, análise das frequências relativas e a técnica estatística MANOVA (Análise Multivariada de Variância). Os resultados apontaram que os docentes utilizam moderadamente os recursos tecnológicos avaliados nesta pesquisa, como ferramenta de apoio pedagógico. Com relação ao perfil de valores, os docentes apresentaram prioridade entre os tipos motivacionais Autodeterminação, Benevolência e Universalismo, enquanto os menos priorizados foram os de Tradição, Realização e Poder, respectivamente. Contudo, não foram identificadas relações significativas entre o perfil de valores e o perfil de uso da tecnologia entre os docentes estudados nesta pesquisa

Uma fundamentação para sinais e sistemas intervalares

In this work we use Interval Mathematics to establish interval counterparts for the main tools used in digital signal processing. More specifically, the approach developed here is oriented to signals, systems, sampling, quantization, coding and Fourier transforms. A detailed study for some interval arithmetics which handle with complex numbers is provided; they are: complex interval arithmetic (or rectangular), circular complex arithmetic, and interval arithmetic for polar sectors. This lead us to investigate some properties that are relevant for the development of a theory of interval digital signal processing. It is shown that the sets IR and R(C) endowed with any correct arithmetic is not an algebraic field, meaning that those sets do not behave like real and complex numbers. An alternative to the notion of interval complex width is also provided and the Kulisch- Miranker order is used in order to write complex numbers in the interval form enabling operations on endpoints. The use of interval signals and systems is possible thanks to the representation of complex values into floating point systems. That is, if a number x 2 R is not representable in a floating point system F then it is mapped to an interval [x;x], such that x is the largest number in F which is smaller than x and x is the smallest one in F which is greater than x. This interval representation is the starting point for definitions like interval signals and systems which take real or complex values. It provides the extension for notions like: causality, stability, time invariance, homogeneity, additivity and linearity to interval systems. The process of quantization is extended to its interval counterpart. Thereafter the interval versions for: quantization levels, quantization error and encoded signal are provided. It is shown that the interval levels of quantization represent complex quantization levels and the classical quantization error ranges over the interval quantization error. An estimation for the interval quantization error and an interval version for Z-transform (and hence Fourier transform) is provided. Finally, the results of an Matlab implementation is given

Influência de eventos hidrológicos extremos na qualidade da água de reservatórios na região tropical semiárida

Reservoirs are artificial ecosystems, intermediate between rivers and lakes, with diferent morphological and hydrological characteristics that can provide many important benefits to society. However, the use of this water for human consumption, watering livestock, leisure, irrigated agricultural production and pisciculture development, directly influence the increase loading of nutrients to aquatic environments and contribute to acceleration of eutrophication. Furthermore, global climate models are predicting a higher occurrence of extreme events such as floods and severe droughts, which will create hydrological stresses in lakes. In the semiarid northeast we can see the occurrence of these events, the drought of the years 2012, 2013 and 2014 was the worst drought in 60 years, according to the National Water Agency (ANA). Thus, this study aimed to evaluate the quality of the semiarid tropical water sources, identifying temporal patterns in periods with extreme hydrological events (floods and severe droughts). The study results showed that Gargalheiras and Cruzeta reservoirs presented significative changes in the limnological variables between rain and severe drought periods, with better appearance and in the most of the water quality variables in the rainy season and higher nutrientes concentrations and high electrical conductivity values in severe season, indicating decay of its quality. However, we found diferent behaviors between the reservoirs in severe drought. While Gargalheiras showed a typical behavior of the region, with high concentrations of algal biomass, indicating the worsening eutrophication, Cruzeta demonstrated a colapse in the total phytoplankton biomass, evidenced by the decrease in chla concentrations. This fact occurred because the low depth and proximity with the sediment facilited the inorganic solids resuspension and, consequently, resulted in turbid water column and light by limitation. In addition, the different behaviors between the reservoirs indicate that the responses of these environments problems such as extreme events must take into account factors such the region climate, size, depth of the reservoir and the basin characteristics.