Ce travail de thèse porte sur l'étude du comportement morphodynamique d'une plage de poche, partiellement aménagée, lors des événements de tempête. La plage de Zarautz (Espagne) a été choisie comme site d'étude en raison de son climat de vagues et de sa configuration. La plage est limitée latéralement par des falaises rocheuses. Elle présente un système dunaire sur la partie est et une digue aménagée en promenade sur le reste de la plage. Le climat de houle au large de Zarautz (bouée de Bilbao) est caractérisé par une faible variabilité directionnelle. Dans 95 % des cas, les vagues proviennent de directions comprises entre l'Ouest (O) et le Nord (N). Les conditions de vague à l'approche de la plage de Zarautz sont quasi unidirectionnelles et peuvent présenter une variabilité longitudinale. La variabilité temporelle et spatiale des barres sableuses d'avant côte, a été étudiée à partir de l'analyse d'images vidéo enregistrées quotidiennement sur une période de deux années. Les résultats montrent que d'un point de vue hydrodynamique la plage se comporte la plupart du temps comme une plage ouverte. Toutefois, elle peut également présenter une circulation de type cellulaire au cours des événements de haute énergie. La morphologie de la plage présente une grande variabilité spatiale et temporelle. On remarque également des différences morphologiques notables entre la partie aménagée et la partie est de la plage. Pour étudier la réponse morphologique de la plage à des événements de haute énergie, des relevés topographiques ont été menés avant et après plusieurs tempêtes. Les courants d'arrachement, stables et persistants pendant des conditions énergétiques modérées à fortes peuvent éroder localement la zone intertidale de la plage. Dans des conditions de haute énergie et lors de marées de vives eaux le haut de plage et le cordon dunaire sont érodés. A l'inverse, lors de conditions de haute énergie qui coïncident avec des marées de mortes-eaux, l'évolution de l'estran, de l'arrière-plage et de la dune sont essentiellement contrôlées par les caractéristiques des vagues plutôt que par l'amplitude de la marée. Afin d'analyser et de compléter les résultats obtenus, une étude numérique a été réalisée à partir du code open source XBeach. En raison de l'absence de données de bathymétrie, le modèle d'assimilation de données Beachwizard a été utilisé afin d'estimer la bathymétrie à partir des images collectées par la station vidéo. La possibilité de forcer ce modèle avec des conditions de vagues variables le long de la limite du domaine de calcul a été mise en œuvre. Les résultats montrent que la prise en compte de conditions limites variables améliore la capacité du modèle à estimer la bathymétrie. Les tests de calibration du modèle XBeach révèlent que les résultats peuvent varier considérablement en fonction des paramètres choisis. Toutefois, les résultats du modèle XBeach semblent peu sensibles aux caractéristiques du spectre de vagues utilisé pour forcer le modèle. Une série de simulations ont été réalisées afin d'étudier le cluster de tempêtes de Février 2013 en analysant non seulement l'influence de la chronologie des différentes tempêtes mais aussi du niveau d'eau au cours de cette période. Ces simulations ont permis de mettre en évidence que les mouvements sédimentaires sont dominés par un transfert de sable de la dune vers la zone intertidale sans période de reconstruction de la dune. L'érosion des différentes sections de la plage est fortement corrélée au niveau d'eau. L'érosion de la dune et de l'arrière-plage ne se produit que lorsque les niveaux de marée élevés prévalent alors que la zone intertidale est érodée à marée basse. Il apparaît que l'impact des tempêtes sur la plage est beaucoup plus dépendant du niveau d'eau que de la chronologie des événements énergétiques au cours d'un cluster de tempêtes. / The aim of this study is to understand the response of engineered pocket beaches to storms. To that end, a series of video images, field topographical measurements and depth-averaged (2DH) process-based model have been used. The beach of Zarautz was chosen as a study site due to its wave climate characteristics and beach configuration. It is an embayed beach composed by two well defined regions, a dune system and an engineered section. The offshore wave climate is characterised by a low directional variability. The 95 % of the cases ranges from W to N directions. The high energetic events are seasonally variable. Most of the storms take place during winter and autumn. The wave climate at the beach of Zarautz is almost unidirectional and it presents certain alongshore variability. The temporal and spatial variability of nearshore sandbars, using daily video observations over 2 years was carried out. In general the beach acts as an open beach like circulatory system but it may present cellular and transitional circulation during high energy events. The nearshore sandbars evolution covers a wide range of temporal and spatial variability. Interestingly, the western engineered and more sheltered section of the beach sometimes exhibits a different beach state to that of the eastern section. To study the response of the beach to high energy events, systemically designed topographic surveys were undertaken before and after storm events. The location of the rip currents seems to play a role on the beach erosion. Static and persistent rips during moderate high energy conditions may erode locally the beach intertidal zone. During high energetic conditions and spring tides the beach backshore and dune area is eroded. Dune and backshore sections become important as they act as a buffer, preventing the foreshore erosion. On other hand, during high energetic conditions coinciding with neap tides, the evolution of the foreshore, backshore and dunes might be sensitive to the wave characteristics rather than to the tidal range. The findings obtained from the video images and field measurements were completed by means of the XBeach process based model. Due to the lack of a pre-storm bathymetry the XBeach-Beach Wizard model was used in order to infer the surfzone features. The possibility to force the model with non-uniform alongshore wave conditions was implemented. Results show that this new implementation improves the model skills. The XBeach calibration tests reveal that the results can vary considerably depending on the set of parameters chosen to run the model. Parameters such as short wave run-up, γ, γua, eps and hmin seem to be relevant for the model calibration. A series of storm impact simulations were performed. A chain transport mechanism was found in which the sand is transported from the dunes to the intertidal zone, and never in the other way around. The erosion of the different sections of the beach is highly related to the tidal level rather that to the wave power. The main differences in the beach response between the natural and engineered sections are related to the sand budget. The complete loss of the backshore sand makes the intertidal zone weak to the storms (the chain transport is interrupted). This scenario is only likely to happen at the engineered sector due to the narrow backshore and the absence of a dune system. Some tests were performed in order to relate the 'storm magnitude' to a certain value of beach erosion. These findings point out that, in general, the higher the storm power is, the larger is the beach erosion. However, the wave characteristics that define a given storm play an important role. Furthermore, in some cases a low power storm with high Hs and Tp can produce larger changes on the beach than a large storm with low Hs and Tp.

In a global warming scenario, an increase temperature is expected in addition to the occurrence and intensity of extreme climate events. One example of extreme events is the marine heat waves, which are a major threat to marine macroalgae. Ulva fasciata is a cosmopolitan species that occur in the whole Brazilian coast. This study was performed in two regions of Rio de Janeiro State (RJ) coast. Both regions are tropical, however, Arraial do Cabo/RJ is naturally colder than Niterói/RJ due upwelling phenomenon. This study aimed to: (i) confirm that U. fasciata individuals from these two Brazilian coast regions are of the same species; and (ii), physiologically analyze individuals of U. fasciata in the field and under in-laboratory controlled temperature experiment. We hypothesized that U. fasciata populations grown at thermally different locations would present distinct ecophysiological responses. In the field, it was accessed maximum quantum yield (Fv/Fm) and pigment content, and in laboratory, it was also evaluated growth rate. The in-laboratory controlled experiment comprised three phases: (i) a temperature gradient; (ii) a 5-day heat wave (+ 5 oC); and (iii) a 5-day recovery (- 5 oC). The molecular data allow us to state that the two populations belong to the same species. No differences of the fluorescence-derived factors were observed between individuals from both populations in the field, suggesting acclimation. However, differences were detected along all three experimental phases. The analysis of pigment content field data evidenced that individuals from the population of Niterói (warmer site) had higher concentrations of chlorophyll a than individuals from Arraial do Cabo (colder site). However, individuals of population from Niterói when cultured at 21 oC showed the lowest values of pigment. The differences observed suggest ecotypes. In conclusion, as the planet becomes warmer and extreme weather events become more frequent, the likelihood that heat wave to occur is higher. Therefore, U. fasciata from Arraial do Cabo showed better physiological responses to the effects of heat wave, what could confer them higher competitiveness ability to overcome thermal stress / Num cenário de aquecimento global, um aumento da temperatura é esperado, assim como a ocorrência e intensidade de eventos climáticos extremos. Um exemplo de evento extremo são as ondas de calor marinhas, que são a principal ameaça a macroalgas marinhas. Ulva fasciata é uma espécie cosmopolita que ocorre em toda costa brasileira. Esse estudo foi realizado em duas regiões da costa do Estado do Rio de Janeiro (RJ). Ambas regiões são tropicais, mas Arraial do Cabo/RJ é naturalmente mais fria que Niterói/RJ devido ao fenômeno de ressurgência. Esse estudo objetivou: (i), confirmar que os indivíduos de U. fasciata dessas duas localidades da costa brasileira são da mesma espécie; e (ii) analisar fisiologicamente indivíduos de U. fasciata em campo e em experimentos de temperatura em condições controladas de laboratório. Nossa hipótese era de que populações de U. fasciata procedentes de localidades termicamente diferentes iriam apresentar respostas ecofisiológicas distintas. Em campo, foi acessado o rendimento quântico máximo (Fv/Fm) e o conteúdo pigmentar, e em laboratório, foi também avaliada a taxa de crescimento. O experimento em condições controladas de laboratório consistiu de três fases: (i) gradiente de temperatura; (ii) onda de calor (+5 oC) de 5 dias; e (iii) recuperação (- 4 oC) de 5 dias. Os dados moleculares permitiram afirmar que as duas populações pertencem à mesma espécie. Não foram detectadas diferenças nos fatores derivados da fluorescência entre os indivíduos das duas populações avaliadas em campo, sugerindo aclimatação. Contudo, foram detectadas diferenças ao longo das três fases experimentais. A análise do conteúdo pigmentar em campo evidenciou que os indivíduos da população de Niterói (região mais quente) tinham mais clorofila a do que os indivíduos de Arraial do Cabo (região mais fria). No entanto, indivíduos da população de Niterói, quando cultivados em 21 oC, mostraram valores menores de pigmentos. As diferenças observadas sugerem ecótipos. Em conclusão, conforme o planeta se torna mais quente e eventos extremos climáticos se tornam mais frequentes, a probabilidade de ocorrência de ondas de calor é maior. Dessa forma, U. fasciata de Arraial do Cabo mostro melhor resposta fisiológica aos efeitos da onda de calor, o que lhe pode conferir maior capacidade de competição para superar estresses térmicos

Orientador: João Lima Sant'Anna Neto / Resumo: Nos últimos anos as mudanças climáticas têm sido foco de diversas pesquisas de cunho científico e político principalmente após as publicações dos relatórios desenvolvidos pelo IPCC. Segundo o grupo, e fato incontestável para muitos pesquisadores, as mudanças climáticas deverão aumentar consideravelmente o número e intensidade dos eventos meteorológicos extremos. Contudo, tais repercussões não ocorrerão em todos os espaços e com intensidades equivalentes. Cada grupo de acordo com o seu poder aquisitivo, forma organizacional, processo histórico e cultural percebem a eminência do risco de modo singular e, da mesma forma, em um futuro próximo, responderão de modo desigual a partir de mecanismos capazes de se precaverem com maior ou menor resiliência à essas repercussões. Diante desta discussão esta pesquisa teve o objetivo de analisar e pesquisar as repercussões dos eventos extremos, associados a temperatura (frio e calor) e condições de conforto térmico humano e bairros com diferentes padrões socioeconômicos na cidade de Presidente Prudente. A hipótese dessa pesquisa é que a população residente nos setores menos valorizados e mais segregados socio-economicamente é também a camada mais vulnerável e afetada, negativamente, por essas ocorrências extremas e com impactos significativos no conforto térmico e saúde. Para contemplar este universo de análise a pesquisa é composta por três vertentes principais: análise dos eventos extremos de frio e calor e a influência na biometeorologia... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: In recent years, climate changes have been the focus of several scientific and political research studies, especially after the publication of reports elaborated by the IPCC. According to the group, as well as an unquestionable fact for many researchers, climate changes should considerably increase the number and intensity of extreme weather events. However, such repercussions will not occur in all spaces and with equivalent intensities. Each group, according to their purchasing power, organizational form, historical and cultural process, perceives the eminence of risk in a unique way and, in the near future, will respond unequally through mechanisms that will be able to be cautious with more or less resilience about these repercussions. Given this discussion, this research aimed to analyze and research the repercussions of extreme events associated with temperature (cold and heat) and conditions of thermic comfort in differents socioeconomic districts in the Presidente Prudente city. The hypothesis of this research is that the population residing in the least valued and most socially and economically segregated sectors is also the most vulnerable and negatively affected by these extreme occurrences layer, with significant impacts on thermal comfort and health. In order to contemplate this universe of analysis, the research consists of three main strands: analysis of extreme cold and heat events and the influence on human biometeorology through thermal comfort and discomfort;... (Complete abstract click electronic access below) / Doutor

Title: Actuarial and Exposure-based Models for Hail Peril Author: Bc. Matúš Drobuliak Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Michal Pešta, Ph.D., Department of Probability and Mathe- matical Statistics Abstract: This thesis covers an introduction to catastrophe modelling and focuses on statistical methods for extreme events. This includes methods of estimating parameters of claim distribution with a focus on probability weighted moments estimation technique. Furthermore, times series modelling, skew t-distribution, and two model clustering techniques are examined as well. This is later utilised in the practical application part of this thesis, which uses real data provided by an insurance company operating in the Czech Republic. Probability distribution fitting of large claims caused by hailstorms and Monte Carlo simulation of future losses are demonstrated later. Keywords: Catastrophe modelling, Hail peril, Probability weighted moments, Extreme events, ARMA-GARCH, Monte Carlo simulation iii

To identify extreme changes in the dynamics of the Indian Summer Monsoon (ISM) in the past, I propose a new approach based on the quantification of fluctuations of a nonlinear similarity measure, to identify regimes of distinct dynamical complexity in short time series. I provide an analytical derivation for the relationship of the new measure with the dynamical invariants such as dimension and Lyapunov exponents of the underlying system. A statistical test is also developed to estimate the significance of the identified transitions. Our method is justified by uncovering bifurcation structures in several paradigmatic models, providing more complex transitions compared with traditional Lyapunov exponents. In a real world situation, we apply the method to identify millennial-scale dynamical transitions in Pleistocene proxy records of the south Asian summer monsoon system. We infer that many of these transitions are induced by the external forcing of solar insolation and are also affected by internal forcing on Monsoonal dynamics, i.e., the glaciation cycles of the Northern Hemisphere and the onset of the tropical Walker circulation. Although this new method has general applicability, it is particularly useful in analysing short palaeo-climate records. Rainfall during the ISM over the Indian subcontinent occurs in form of enormously complex spatiotemporal patterns due to the underlying dynamics of atmospheric circulation and varying topography. I present a detailed analysis of summer monsoon rainfall over the Indian peninsular using Event Synchronization (ES), a measure of nonlinear correlation for point processes such as rainfall. First, using hierarchical clustering I identify principle regions where the dynamics of monsoonal rainfall is more coherent or homogenous. I also provide a method to reconstruct the time delay patterns of rain events. Moreover, further analysis is carried out employing the tools of complex network theory. This study provides valuable insights into the spatial organization, scales, and structure of the 90th and 94th percentile rainfall events during the ISM (June to September). I furthermore analyse the influence of different critical synoptic atmospheric systems and the impact of the steep Himalayan topography on rainfall patterns. The presented method not only helps in visualising the structure of the extremeevent rainfall fields, but also identifies the water vapor pathways and decadal-scale moisture sinks over the region. Furthermore a simple scheme based on complex networks is presented to decipher the spatial intricacies and temporal evolution of monsoonal rainfall patterns over the last six decades. Some supplementary results on the evolution of monsoonal rainfall extremes over the last sixty years are also presented. / Um Extremereignisse in der Dynamik des indischen Sommermonsuns (ISM) in der geologischen Vergangenheit zu identifizieren, schlage ich einen neuartigen Ansatz basierend auf der Quantifikation von Fluktuationen in einem nichtlinearen Ähnlichkeitsmaß vor. Dieser reagiert empfindlich auf Zeitabschnitte mit deutlichen Veränderungen in der dynamischen Komplexität kurzer Zeitreihen. Ein mathematischer Zusammenhang zwischen dem neuen Maß und dynamischen Invarianten des zugrundeliegenden Systems wie fraktalen Dimensionen und Lyapunovexponenten wird analytisch hergeleitet. Weiterhin entwickle ich einen statistischen Test zur Schätzung der Signifikanz der so identifizierten dynamischen Übergänge. Die Stärken der Methode werden durch die Aufdeckung von Bifurkationsstrukturen in paradigmatischen Modellsystemen nachgewiesen, wobei im Vergleich zu den traditionellen Lyapunovexponenten eine Identifikation komplexerer dynamischer Übergänge möglich ist. Wir wenden die neu entwickelte Methode zur Analyse realer Messdaten an, um ausgeprägte dynamische Veränderungen auf Zeitskalen von Jahrtausenden in Klimaproxydaten des südasiatischen Sommermonsunsystems während des Pleistozäns aufzuspüren. Dabei zeigt sich, dass viele dieser Übergänge durch den externen Einfluss der veränderlichen Sonneneinstrahlung, sowie durch dem Klimasystem interne Einflussfaktoren auf das Monsunsystem (Eiszeitzyklen der nördlichen Hemisphäre und Einsatz der tropischenWalkerzirkulation) induziert werden. Trotz seiner Anwendbarkeit auf allgemeine Zeitreihen ist der diskutierte Ansatz besonders zur Untersuchung von kurzen Paläoklimazeitreihen geeignet. Die während des ISM über dem indischen Subkontinent fallenden Niederschläge treten, bedingt durch die zugrundeliegende Dynamik der atmosphärischen Zirkulation und topographische Einflüsse, in äußerst komplexen, raumzeitlichen Mustern auf. Ich stelle eine detaillierte Analyse der Sommermonsunniederschläge über der indischen Halbinsel vor, die auf Ereignissynchronisation (ES) beruht, einem Maß für die nichtlineare Korrelation von Punktprozessen wie Niederschlagsereignissen. Mit hierarchischen Clusteringalgorithmen identifiziere ich zunächst Regionen mit besonders kohärenten oder homogenen Monsunniederschlägen. Dabei können auch die Zeitverzögerungsmuster von Regenereignissen rekonstruiert werden. Darüber hinaus führe ich weitere Analysen auf Basis der Theorie komplexer Netzwerke durch. Diese Studien ermöglichen wertvolle Einsichten in räumliche Organisation, Skalen und Strukturen von starken Niederschlagsereignissen oberhalb der 90% und 94% Perzentilen während des ISM (Juni bis September). Weiterhin untersuche ich den Einfluss von verschiedenen, kritischen synoptischen Systemen der Atmosphäre sowie der steilen Topographie des Himalayas auf diese Niederschlagsmuster. Die vorgestellte Methode ist nicht nur geeignet, die Struktur extremer Niederschlagsereignisse zu visualisieren, sondern kann darüber hinaus über der Region atmosphärische Transportwege von Wasserdampf und Feuchtigkeitssenken auf dekadischen Skalen identifizieren.Weiterhin wird ein einfaches, auf komplexen Netzwerken basierendes Verfahren zur Entschlüsselung der räumlichen Feinstruktur und Zeitentwicklung von Monsunniederschlagsextremen während der vergangenen 60 Jahre vorgestellt.

The aim of this study was to characterize the extreme events of rainfall in Eastern Amazon, to analyze on ocean-atmosphere conditions in global scale associated with intense occurrence periods of these events, to contribute for temporal variation comprehension of rainfall extreme events, as well as of determinant phenomena to its occurrence and to make further projections. For this purpose, Pluviometric Precipitation stations data from Brazilian National Institute for Meteorology (INMET) located in Belém, Breves, Altamira, Tucuruí and Marabá; and monthly data of precipitation from Delaware University (UDEL). In addition, available meteorological series at ESRL/PSD, particularly, sea surface temperature; u and v components; outgoing long wave radiation; atmospheric vertical movements; divergence fields; satellite images and oceanic and atmospheric climatic indices as Multidecadal Atlantic Oscillation, Pacific Decadal Oscillation (PDO), North Atlantic Oscillation, South Oscillation and Multivariated ENOS index. The methodology has included statistical techniques for rainfall analysis and behavior, as well as major phenomena that influence its annual regime, and events diagnostic as well. It was made class distribution of daily rainfall in Belém-PA, Eastern Amazon, and was clear that rainfall yearly total high values in that region were resulting from extreme events of rainfall that contributed, in average, with 37% from rain yearly total. These extreme events corresponded to 10% from total values of rainy days. There was a rising trend of these events in the last 10 years, attributed to upper troposphere cooling during that beginning of new PDO cold phase. Oceanic and atmospheric indices from Pacífic Ocean have shown to be a valuable tool for prediction of periods with extreme event occurrences. Trade winds, and mainly the sea surface temperature, were determinant factors for extreme events occurrence and development in Eastern Amazon, wavelets transform analysis has shown the energy and annual cycle present in precipitation regime of this region, as well as influence of high frequency phenomena as ENOS at rainy season of analyzed stations. Climate perspectives indicated that PDO is already in the new cold phase and its permanence is not known, much less its causes. However, if that new phase remain for more 15 to 20 years, certainly there will be rise in rainfall extreme events in Eastern Amazon, due to slowly cooling of upper troposphere, resulting in most vertical development of cumulonimbus clouds, responsible by high total values of rainfall. / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / O objetivo principal desse estudo foi fazer a caracterização dos eventos extremos de precipitação no leste da Amazônia, a análise das condições oceano-atmosfera em escala global associadas a períodos com intensa ocorrência desses eventos, contribuir para a compreensão da variação temporal dos eventos extremos de chuva, assim como dos fenômenos determinantes para a sua ocorrência e fazer projeções futuras. Para tal, foram utilizados dados de precipitação pluviométrica do Instituto Nacional de Meteorologia (INMET) das estações de Belém, Breves, Altamira, Tucuruí e Marabá e dados de precipitação mensal da Universidade de Delaware (UDEL). Em adição a isso, séries de variáveis meteorológicas disponíveis no ESRL/PSD, em especial, temperatura da superfície do mar, componentes u e v do vento, radiação de onda longa emergente, movimentos verticais atmosféricos, campos de divergência, imagens de satélite e índices climáticos oceânicos e atmosféricos, como a Oscilação Multidecadal do Atlântico, Oscilação Decadal do Pacifico (ODP), Oscilação do Atlântico Norte, Oscilação Sul e Índice Multivariado de ENOS. A metodologia incluiu técnicas estatísticas para análise e comportamento da precipitação, assim como os fenômenos que mais influenciam em seu regime anual, além dos diagnósticos dos eventos. Foi elaborada a distribuição de classes da precipitação diária em Belém (PA), leste da Amazônia, e ficou claro que os altos totais anuais de chuva nessa região foram decorrentes de eventos extremos de precipitação, que contribuíram, em média, com 37% do total anual de chuva. Esses eventos extremos representaram 10% dos totais de dias chuvosos. Houve uma tendência de aumento desses eventos nos últimos 10 anos, o que foi atribuído ao resfriamento da troposfera superior durante esse início da nova fase fria da ODP. Os índices oceânicos e atmosféricos do Oceano Pacifico, mostraram ser uma ferramenta valiosa para a previsão de períodos com ocorrência de eventos extremos. Os ventos Alísios, e principalmente a temperatura da superfície do mar, foram fatores determinantes para o desenvolvimento e ocorrência de eventos extremos no leste da Amazônia, A análise da Transformada de Ondeleta (TO) mostrou a energia e o ciclo anual presente no regime de precipitação dessa região, assim como a influência de fenômenos de alta freqüência como o ENOS no período chuvoso das estações analisadas. As perspectivas climáticas indicaram que a ODP já está em sua nova fase fria. Não se sabe por quanto tempo a ODP irá permanecer em sua nova fase, muito menos as suas causas, porém, se ela perdurar por mais 15 a 20 anos, que é o esperado, certamente haverá um aumento nos eventos extremos de chuva na região Amazônica, devido ao paulatino resfriamento da troposfera superior, resultando em maior desenvolvimento vertical de nuvens tipo cumulonimbo, responsável pelos altos totais pluviométricos.

Sujet médiatique récent, le phénomène des changements climatiques est devenu en ce début de XXIe siècle une préoccupation récurrente. Nous nous sommes alors interrogés non pas sur les mécanismes de ces dérèglements et les modélisations de leurs manifestations mais sur leurs représentations sociales auprès des acteurs touristiques territorialisés et travaillant dans un domaine soumis à l'aléa climatique : les sports d'hiver. Nous avons voulu connaître ainsi de quelle manière se traduisent sur un territoire donné et pour une activité ciblée les connaissances scientifiques actuelles en lien avec les changements climatiques. Au travers des méthodes d'enquête et d'analyse utilisées en psychologie sociale et en sociologie, que la géographie s'est appropriées, nous avons identifié les représentations sociales de la clientèle et des opérateurs touristiques des stations de sports d'hiver des Pyrénées-Orientales. Nous avons également identifié les comportements et les stratégies managériales induits par ces représentations. / Climate change has become a public concern only recently. Numerous studies have already been published on the mechanisms of the phenomenon and several climate models have already been established. Yet less scientific literature deals with the social aspects of this issue. This thesis analyses the ways the scientific knowledge regarding climate change is interpreted by the tourism actors of a specific territory and of a specific tourism activity field subject to climate hazards, the winter tourism. By using survey and analysis methods from social psychology and sociology we have identified social representations of climate change of skiers and tourist operators from the Eastern Pyrenees ski resorts. We have also identified the behavior and the management strategies resulting from these social representations.

Made available in DSpace on 2014-12-17T15:26:36Z (GMT). No. of bitstreams: 1 RaimundoNCSpdf.pdf: 571294 bytes, checksum: e7a16fe2d495057f30a58acfdd36fce6 (MD5) Previous issue date: 2008-12-05 / The work is to make a brief discussion of methods to estimate the parameters of the Generalized Pareto distribution (GPD). Being addressed the following techniques: Moments (moments), Maximum Likelihood (MLE), Biased Probability Weighted Moments (PWMB), Unbiased Probability Weighted Moments (PWMU), Mean Power Density Divergence (MDPD), Median (MED), Pickands (PICKANDS), Maximum Penalized Likelihood (MPLE), Maximum Goodness-of-fit (MGF) and the Maximum Entropy (POME) technique, the focus of this manuscript. By way of illustration adjustments were made for the Generalized Pareto distribution, for a sequence of earthquakes intraplacas which occurred in the city of Jo?o C?mara in the northeastern region of Brazil, which was monitored continuously for two years (1987 and 1988). It was found that the MLE and POME were the most efficient methods, giving them basically mean squared errors. Based on the threshold of 1.5 degrees was estimated the seismic risk for the city, and estimated the level of return to earthquakes of intensity 1.5?, 2.0?, 2.5?, 3.0? and the most intense earthquake never registered in the city, which occurred in November 1986 with magnitude of about 5.2? / O objetivo desse trabalho ? fazer uma breve discuss?o dos m?todos de estima??o dos par?metros da distribui??o generalizada de Pareto (GPD). Sendo abordadas as seguintes t?cnicas: m?xima verossimilhan?a (MLE), m?xima verossimilhan?a penalizada (MPLE), m?todos dos momentos (moments), Pickands (Pickands), momentos ponderados pela probabilidade: viesado e n?o-viesado (PWMB, PWMU), diverg?ncia m?dia da densidade (MDPD), melhor qualidade do ajuste (MGF), mediana (MED) e o m?todo da m?xima entropia (POME), t?cnica que neste trabalho receber? uma maior aten??o. A t?tulo de ilustra??o foram feitos ajustes para a distribui??o generalizada de Pareto, para uma seq??ncia de sismos intraplacas, ocorridos no munic?pio de Jo?o C?mara, NE Brasil que foi monitorado continuamente durante dois anos (1987 e 1988). Verificou-se que o MLE e o POME foram os m?todos mais eficientes, dando basicamente os mesmos erros m?dios quadr?ticos. Com base no limiar de 1,5? foi estimado o risco s?smico para o munic?pio, sendo estimado o n?vel de retorno para os sismos de intensidade 1,5?, 2,0?, 2,5?, 3,0? e para o sismo mais intenso j? registrado no munic?pio, ocorrido em novembro de 1986 que teve a magnitude de 5,2?

Made available in DSpace on 2014-08-20T13:25:40Z (GMT). No. of bitstreams: 1 Tese_Doutorado_Antonio_Sergio_Bonini.pdf: 2347670 bytes, checksum: 55095ae0badf05144e217978479f2c94 (MD5) Previous issue date: 2008-09-23 / The minimum air temperature is one of the meteorological variables which exercises relevant influence over environmental conditions, being one of the determining factors to the growth and development of the plants. The evaluation of the minimum air temperature, in the Southern Region of Brasil, is directly related to the identification of the more adequate periods for the sowing or planting of the various cultivation, for it permits the establishment of the critical plant phase to coincide with the period of a minor probability of harmful temperature occurrence to the cultivation. Through the thirty years of daily data study of the minimum air temperature, in twelve surface meteorological stations, in the State of Rio Grande do Sul, during the months of the year, the characterization period was done with a minimum temperature within the following interval t < 3ºC. The probability of minimum temperature to be found in the referred interval was obtained through the calculation of the conditional probability and the probability of occurrence of days with the minimum temperature within an interval of seven days, using the first-order Markov Chain Model. The results obtained showed that the probability of a determined day to be found at a minimum particular temperature depends on the precedent state, confirming, satisfactorily, the adjustment of the Markov Chain Model. The study promoted the mapping of the Ecoclimatic regions of Rio Grande do Sul based on description of the minimum temperature sequence and frost risk, thought Markov Chain Model, the use of the multiple linear regression model and Conrad & Pollak Method, thus identifying the probability dates of occurrence of the first and the last frost of the year, to help in the planning and epoch of cultivation. / A temperatura mínima do ar é uma das variáveis meteorológicas que exerce relevante influência sobre as condições ambientais, sendo um dos fatores determinantes do crescimento e desenvolvimento das plantas. A avaliação da temperatura mínima do ar, na Região Sul do Brasil, está diretamente relacionada com a identificação dos períodos mais adequados para a semeadura/plantio das diversas culturas, pois permite estabelecer que as fases críticas da planta coincidam com o período de menor probabilidade de ocorrência de temperaturas prejudiciais à cultura. Através do estudo de 30 anos de dados diários de temperatura mínima do ar de doze estações meteorológicas de superfície, no Estado do Rio Grande do Sul, durante os meses do ano, foi feita a caracterização dos períodos com temperatura mínima do ar dentro do intervalo t < 3ºC. A probabilidade de a temperatura mínima se encontrar no referido intervalo foi obtida através dos cálculos de probabilidade condicional e da probabilidade de ocorrência de dias com temperatura mínima dentro de um período de sete dias, utilizando-se o modelo da Cadeia de Markov de primeira ordem. Os resultados obtidos mostraram que a probabilidade de um determinado dia encontrar-se com uma temperatura mínima particular, depende do estado precedente, comprovando satisfatoriamente o ajuste do Modelo da Cadeia de Markov. O estudo promoveu o mapeamento das Regiões Ecoclimáticas do Rio Grande do Sul com base na descrição da seqüência de temperaturas mínimas e riscos de geadas, por meio do Método Cadeia de Markov, do uso do modelo de regressão linear múltipla e do Método Conrad & Pollak, identificando, dessa forma, as probabilidades das datas de ocorrência da primeira e da última geada do ano, para auxiliar no planejamento e épocas de cultivo.

Made available in DSpace on 2014-08-20T14:25:52Z (GMT). No. of bitstreams: 1 dissertacao_gilson_carlos_da_silva.pdf: 6390842 bytes, checksum: 4ee553c938a05c41b76eeb4831643835 (MD5) Previous issue date: 2011-08-31 / The time-variation feature of extreme precipitation events (those can result in flooding) on east and north regions of the Santa Catarina State, one of the Brazilian regions most attained by damages owning to heavy rain episodes, is analyzed in this study. For this, it were selected some cities whose history of flooding based on many sources, as the Defesa Civil Estadual was employed to built a threshold to identify the precipitation events that can cause flooding. The observed precipitation data, from 1951 to 2010, from ANA (Agência Nacional de Águas) was used to the analysis of daily rainfall occurred until fifteen days before the flooding and for the counting of this type of event. The methodology employed to detect these events was based on mean thresholds following the rainfall observed on the selected cities. The counting of the occurrences generated the time-variation over such period, indicating positive and also some negative, although not significant tendencies on this region, and a significative linear correlation with global scale climate phenomena in some of the cities. It is also observed the seasonal behavior for the present time and for a future climate scenario, ranging from 2070 to 2100, which aim is to give information to a better planning of the cities, through the regional climate model HadRM3P, from Hadley Centre (UK), simulated and provided by CCST (Centro de Ciências do Sistema Terrestre) do INPE (Instituto Nacional de Pesquisas Espaciais), considering the A2 scenario (more pessimist) following IPCC (Intergovernmental Panel on Climate Change). In comparison against present climate, the estimated projection by climatic model shows an increasing of the frequency of these extreme precipitation events in all selected cities, for all seasons mainly in autumn. / Este estudo analisa o aspecto temporal dos eventos extremos de precipitação com potencial para causar inundação na região Leste e Norte do Estado de Santa Catarina, uma das regiões brasileiras que mais sofrem transtornos devido à chuva intensa. Foram selecionadas algumas cidades cujo histórico de inundação construído através de várias fontes, como a Defesa Civil Estadual foi usado para a confecção de um limiar para identificar tais eventos. Foram utilizados dados de precipitação da ANA (Agência Nacional de Águas) no período de 1951 a 2010, para análise da chuva diária ocorrida até quinze dias antes das inundações e para a quantificação dos eventos extremos de precipitação com potencial para provocar inundação. A metodologia empregada para detecção desses eventos foi a de limiares médios, baseada na análise pontual da precipitação nas cidades atingidas. A quantificação do número de eventos gerou a variação temporal no período, em que pode-se analisar as ocorrências de tendência positiva e também alguma negativa, embora não significativa na região, além de correlação linear significativa, em algumas cidades, com fenômenos climáticos de escala global. É examinado também o aspecto climatológico sazonal do presente e de um cenário climático para o final do século (2070-2100), cujo objetivo é fornecer informações para um melhor planejamento das cidades, usando dados do modelo climático regional HadRM3P, do Hadley Centre (UK), simulados e fornecidos pelo Centro de Ciências do Sistema Terrestre do Instituto Nacional de Pesquisas Espaciais (CCST/INPE), considerando o cenário A2 (mais pessimista) do IPCC (Painel Intergovernamental sobre Mudanças Climáticas). Na comparação com o clima presente, a projeção simulada pelo modelo climático indicou aumento da frequência de ocorrência dos eventos em todas as cidades, para todas as estações do ano, principalmente para o outono.