In future cities, urban drainage and flood management systems should be designed not only to reliable during normal operating conditions but also to be resilient to exceptional threats that lead to catastrophic failure impacts and consequences. Resilience can potentially be built into urban drainage systems by implementing a range of strategies, for example by embedding redundancy and flexibility in system design or rehabilitation to increase their ability to efficiently maintain acceptable customer flood protection service levels during and after occurrence of failure or through installation of equipment that enhances customer preparedness for extreme events or service disruptions. However, operationalisation of resilience in urban flood management is still constrained by lack of suitable quantitative evaluation methods. Existing hydraulic reliability-based approaches tend to focus on quantifying functional failure caused by extreme rainfall or increases in dry weather flows that lead to hydraulic overloading of the system. Such approaches take a narrow view of functional resilience and fail to explore the full system failure scenario space due to exclusion of internal system failures such as equipment malfunction, sewer (link) collapse and blockage that also contribute significantly to urban flooding. In this research, a new analytical approach based on Global Resilience Analysis (GRA) is investigated and applied to systematically evaluate the performance of an urban drainage system (UDS) when subjected to a wide range of both functional and structural failure scenarios resulting from extreme rainfall and pseudo random cumulative link failure respectively. Failure envelopes, which represent the resulting loss of system functionality (impacts) are determined by computing the upper and lower limits of the simulation results for total flood volume (failure magnitude) and average flood duration (failure duration) at each considered failure level. A new resilience index is developed and applied to link resulting loss of functionality magnitude and duration to system residual functionality (head room) at each considered failure level. With this approach, resilience has been tested and characterized for a synthetic UDS and for an existing UDS in Kampala city, Uganda. In addition, the approach has been applied to quantify the impact of interventions (adaptation strategies) on enhancement of global UDS resilience to flooding. The developed GRA method provides a systematic and computationally efficient approach that enables evaluation of whole system resilience, where resilience concerns ‘beyond failure’ magnitude and duration, without prior knowledge of threat occurrence probabilities. The study results obtained by applying the developed method to the case studies suggest that by embedding the cost of failure in resilience-based evaluation, adaptation strategies which enhance system flexibility properties such as distributed storage and improved asset management are more cost-effective over the service life of UDSs.

abstract: This dissertation consists of three essays, each examining distinct aspects about public organization adaptation to extreme events using evidence from public transit agencies under the influence of extreme weather in the United States (U.S.). The first essay focuses on predicting organizational adaptive behavior. Building on extant theories on adaptation and organizational learning, it develops a theoretical framework to uncover the pathways through which extreme events impact public organizations and identify the key learning mechanisms involved in adaptation. Using a structural equation model on data from a 2016 national survey, the study highlights the critical role of risk perception to translate signals from the external environment to organizational adaptive behavior. The second essay expands on the first one to incorporate the organizational environment and model the adaptive system. Combining an agent-based model and qualitative interviews with key decision makers, the study investigates how adaptation occurs over time in multiplex contexts consisting of the natural hazards, organizations, institutions and social networks. The study ends with a series of refined propositions about the mechanisms involved in public organization adaptation. Specifically, the analysis suggests that risk perception needs to be examined relative to risk tolerance to determine organizational motivation to adapt, and underscore the criticality of coupling between the motivation and opportunities to enable adaptation. The results further show that the coupling can be enhanced through lowering organizational risk perception decay or synchronizing opportunities with extreme event occurrences to promote adaptation. The third essay shifts the gaze from adaptation mechanisms to organizational outcomes. It uses a stochastic frontier analysis to quantify the impacts of extreme events on public organization performance and, importantly, the role of organizational adaptive capacity in moderating the impacts. The findings confirm that extreme events negatively affect organizational performance and that organizations with higher adaptive capacity are more able to mitigate those effects, thereby lending support to research efforts in the first two essays dedicated to identifying preconditions and mechanisms involved in the adaptation process. Taken together, this dissertation comprehensively advances understanding about public organization adaptation to extreme events. / Dissertation/Thesis / Doctoral Dissertation Public Administration and Policy 2020

Les événements extrêmes sont l'expression de la variabilité climatique naturelle. Puisque les émissions anthropiques affectent le climat mondial, il est naturel de se demander si les événements extrêmes observés récemment sont une manifestation du changement climatique. Cette thèse se propose de contribuer à la compréhension de l'influence du changement climatique anthropique sur les événements extrêmes observés, tout en évaluant si et comment cette information scientifique - et plus généralement, l'attribution d'événements extrêmes (AEE) - pourrait être utile à la société. Je propose des outils statistiques et j'utilise un ensemble d'entretiens qualitatifs pour répondre à ces questions.La partie statistique s'applique aux vagues de chaleur européennes. Je quantifie le rôle joué par la circulation atmosphérique dans l'intensité de quatre vagues de chaleur récente. Cette analyse s'appuie sur des analogues de circulations, qui identifient des jours ayant une circulation similaire à celle de l'événement étudié. Ensuite, je dissocie l'influence du changement climatique sur les processus dynamiques et non dynamiques menant aux vagues de chaleur. Je calcule des tendances sur l'occurrence de circulations favorisant les fortes chaleurs et sur la température pour une circulation fixée, pour les vagues de chaleur de 2003 en Europe de l'Ouest et de 2010 en Russie. Je trouve que la significativité des résultats dépend de l'événement étudié, ce qui montre l'intérêt de calculer des tendances pour des types de circulation atmosphérique précis.La partie épistémologique analyse les utilisations sociales potentielles de l'AEE. Je mesure comment elle pourrait informer les négociations internationales sur le climat, en particulier les pertes et préjudices, en réponse à des arguments de scientifiques dans ce sens. Je trouve que le seul rôle que l'AEE puisse jouer pour renforcer les pertes et préjudices est un rôle de sensibilisation des politiques, en marge du processus de négociations. Je compare également les motivations avancées par les scientifiques dans les entretiens avec les résultats existants sur l'utilité sociale de ce type d'information scientifique. Je montre que la pertinence sociale des résultats d'AEE est ambiguë, et qu'il y a un manque de données empiriques pour mieux comprendre comment différents acteurs s'approprient et réagissent à cette information. / Extreme events are an expression of natural climate variability. Since anthropogenic emissions affect global climate, it is natural to wonder whether recent observed extreme events are a manifestation of anthropogenic climate change. This thesis aims at contributing to the understanding of the influence of anthopogenic climate change on observed extreme events, while assessing whether and how this scientific information - and more generally, the science of extreme event attribution (EEA) - could be useful for society. I propose statistical tools to achieve the former, while relying on qualitative interviews for the latter.The statistical part focuses on European heatwaves. I quantify the role played by the atmospheric circulation in the intensity of four recent heatwaves. This analysis is based on flow analogues, which identify days with a similar circulation pattern than the event of interest. I then disentangle the influence of climate change on the dynamical and non-dynamical processes leading to heatwaves. I calculate trends in the occurrence of circulation patterns leading to high temperatures and trends in temperature for a fixed circulation pattern, applied to the 2003 Western Europe and 2010 Russia heatwaves. I find that the significance of the results depend on the event of interest, highlighting the value of calculating trends for very specific types of circulation.The epistemological part evaluates the potential social uses of extreme event attribution. I assess how it could inform international climate negotiations, more specifically loss and damage, in response to a number of claims from scientists going in this direction. I find that the only potential role EEA could play to boost the loss and damage agenda would be to raise awareness for policy makers, aside from the negotiation process itself. I also evaluate how the different motivations stated by EEA scientists in interviews fare compared to the existing evidence on social use of this type of scientific information. I show that the social relevance of EEA results is ambiguous, and that there is a lack of empirical data to better understand how different non-scientific stakeholders react and appropriate EEA information.

During the COVID-19 pandemic, customer shopping habits have changed. Some industries experienced an abrupt shift during the pandemic outbreak while others navigate in new normal states. For some merchants, the highly-uncertain new phenomena of COVID-19 expresses as outliers in time series of volume of sales. As forecasting models tend to replicate past behavior of a series, outliers complicates the procedure of forecasting; the abnormal events tend to unreliably replicate in forecasts of the subsequent year(s). In this thesis, we investigate how to forecast volume of sales during the abnormal time period of COVID-19, where the classical ARIMA family of models produce unreliable forecasts. The research revolved around three time series exhibiting three types of outliers: a level shift, a transient change and an additive outlier. Upon detecting the time period of the abnormal behavior in each series, two experiments were carried out as attempts for increasing the predictive accuracy for the three extreme cases. The first experiment was related to imputing the abnormal data in the series and the second was related to using a combined model of a pre-pandemic and a post-abnormal forecast. The results of the experiments pointed at significant improvement of the mean absolute percentage error at significance level alpha=0.05 for the level shift when using a combined model compared to the pre-pandemic best-fit SARIMA model. Also, at significant improvement for the additive outlier when using a linear impute. For the transient change, the results pointed at no significant improvement in the predictive accuracy of the experimental models compared to the pre-pandemic best-fit SARIMA model. For the purpose of generalizing to large-scale conclusions of methods' superiority or feasibility for particular abnormal behaviors, empirical evaluations are required. The proposed experimental models were discussed in terms of reliability, validity and quality. By residual diagnostics, it was argued that the models were valid; however, that further improvements can be made. Also, it was argued that the models fulfilled desired attributes of simplicity, scaleability and flexibility. Due to the uncertain phenomena of the COVID-19 pandemic, it was suggested not to take the outputs as long-term reliable solutions. Rather, as temporary solutions requiring more frequent updating of forecasts. / Under coronapandemin har kundbeteenden och köpvanor förändrats. I vissa branscher upplevdes ett plötsligt skifte vid pandemiutbrottet och i andra navigerar handlare i nya normaltillstånd. För vissa handlare är förändringarna så pass distinkta att de yttrar sig som avvikelser i tidsserier över försäljningsvolym. Dessa avvikelser komplicerar prognosering. Då prognosmodeller tenderar att replikera tidsseriers tidigare beteenden, tenderas det avvikande beteendet att replikeras i försäljningsprognoser för nästkommande år. I detta examensarbete ämnar vi att undersöka tillvägagångssätt för att estimera försäljningsprognoser under den abnorma tidsperioden av COVID-19, då klassiska tidsseriemodeller felprognoserar. Detta arbete kretsade kring tre tidsserier som uttryckte tre avvikelsertyper: en nivåförskjutning, en övergående förändring och en additiv avvikelse. Efter att ha definierat en specifik tidsperiod relaterat till det abnorma beteendet i varje tidsserie, utfördes två experiment med syftet att öka den prediktiva noggrannheten för de tre extremfallen. Det första experimentet handlade om att ersätta den abnorma datan i varje serie och det andra experimentet handlade om att använda en kombinerad pronosmodell av två estimerade prognoser, en pre-pandemisk och en post-abnorm. Resultaten av experimenten pekade på signifikant förbättring av ett absolut procentuellt genomsnittsfel för nivåförskjutningen vid användande av den kombinerade modellen, i jämförelse med den pre-pandemiskt bäst passande SARIMA-modellen. Även, signifikant förbättring för den additiva avvikelsen vid ersättning av abnorm data till ett motsvarande linjärt polynom. För den övergående förändringen pekade resultaten inte på en signifikant förbättring vid användande av de experimentella modellerna. För att generalisera till storskaliga slutsatser giltiga för specifika avvikande beteenden krävs empirisk utvärdering. De föreslagna modellerna diskuterades utifrån tillförlitlighet, validitet och kvalitet. Modellerna uppfyllde önskvärda kvalitativa attribut såsom enkelhet, skalbarhet och flexibilitet. På grund av hög osäkerhet i den nuvarande abnorma tidsperioden av coronapandemin, föreslogs det att inte se prognoserna som långsiktigt pålitliga lösningar, utan snarare som tillfälliga tillvägagångssätt som regelbundet kräver om-prognosering.

Sliding isolation bearings are used widely around the world to minimize damage to structures and their contents during earthquakes. Past studies have typically focused on the behavior of sliding isolation bearing under design conditions; however, as the performance-based earthquake engineering advances, it is necessary and critical to understand the ultimate or even failure behavior, of structural systems under extreme conditions. Using a double friction pendulum bearing with non-articulated slider as an example, this thesis comprehensively investigates the extreme behavior of the sliding bearing components as well as steel frame buildings isolated using these bearings. This thesis is comprised of two major parts. The first includes numerical and experimental studies of double friction pendulum bearings at the component-level. Finite element investigation shows that depending on the superstructure mass there are two major failure modes for the double friction pendulum bearings. When the superstructure mass is sufficiently large, the failure mode is dominated by the restraining rim yielding; however, when the mass is relatively small, its failure mode shifts to bearing uplift. A simplified analytical model which can directly simulate the impact and uplift behavior of double friction pendulum bearing is also implemented, comparing well to the finite element analysis. Then, to validate the ability of the models to predict extreme behavior as well as to investigate the effect of the restraining rim design, which varies around the world, an experimental study was carried out. Uplift behavior and significant rim yielding were observed during the shake table tests. Moreover, other response parameters, including uplift and shear forces, are evaluated and compared among different rim designs. It is found the restraining rim design has a substantial influence on the bearing’s extreme behavior. The second part of the thesis investigates the system-level behavior of steel frame buildings isolated with double friction pendulum bearings. It is found that the stiffness of the superstructure largely dictates the system-level failure modes and collapse probability. Initially, bearings with rigid restraining rims are investigated. For flexible moment-resisting frames, the system-level failure modes are mixed: both the bearing uplift and superstructure yielding contribute; also, using current code-minimum design results in acceptably low probability of collapse. However, for stiff concentrically-braced frames, the impact force can impose large ductility demands on the superstructure regardless of its strength. As a result, the system-level failure comes exclusively from superstructure yielding, and only by increasing bearing’s displacement capacity beyond the minimum code allowed can the design meet as acceptably low collapse probability. When flat rims are used instead for the bearing design, the failure modes for both building types are exclusively bearing failure. Furthermore, while it is more apparent for concentrically-braced frames, using flat rims for the bearings can reduce the collapse probability compared to using rigid rims. / Thesis / Doctor of Philosophy (PhD)

Dans le contexte du changement climatique, il est nécessaire d'affiner les informations relatives à l'évolution du climat dans un pays, susceptible d'être négativement impacté par le réchauffement global, comme le Maroc. En effet, les différentes études de projections futures, dont celles du GIEC, sont basées majoritairement sur les sorties de modèles climatiques à faible résolution qui ne permettent pas d'aborder les échelles régionales et locales. La première partie de ce travail concerne l'étude des tendances et évolutions observées au niveau du climat du Maroc à travers un certain nombre d'indices climatiques. Outre la forte variabilité interannuelle des précipitations et l'augmentation de la fréquence des sécheresses depuis le début des années 1980, la distribution des précipitations du Maroc a bien connu un changement au cours de la période 1961-2008. Ce changement, consistant en une évolution vers des conditions plus sèches, a coïncidé avec une augmentation de la température moyenne en toutes saisons. L'évaluation des changements futurs est réalisée tout d'abord à l'aide d'une descente d'échelle dynamique effectuée avec le modèle ARPEGE-Climat dans sa version à résolution variable. L'examen des capacités du modèle, dont la résolution est de l'ordre de 50km sur le Maroc, a montré son aptitude à simuler correctement la circulation de grande échelle ainsi que la variabilité interannuelle des précipitations marocaines en dépit d'une sous-estimation de leur quantité. A l'horizon 2021-2050, une baisse des cumuls généralisée à tout le pays concernerait la saison d'hiver (DJF). Si on se limite à la zone située à l'ouest des montagnes de l'Atlas, la baisse concernerait la partie la plus pluvieuse de l'année (ONDJFM). Cette baisse serait accompagnée d'une diminution du nombre de jours humides et du nombre d'événements de fortes précipitations ainsi que d'une augmentation de la persistance temporelle de la sécheresse. Ce changement de la distribution des précipitations coïnciderait avec un réchauffement qui se manifesterait à la fois aux échelles saisonnière et annuelle. Les sorties d'une dizaine de modèles régionaux de climat (MRC) du projet FP6-ENSEMBLES, sont utilisées pour balayer une partie de la marge des incertitudes relatives aux changements climatiques et notamment celles inhérentes à la modélisation. Les changements futurs issus de ces MRC, compatibles dans l'ensemble avec ceux issus d'ARPEGE-Climat, optent dans la plupart des cas pour une réduction des cumuls pluviométriques de l'hiver accompagnée généralement d'une baisse du nombre d'événements de fortes précipitations et d'une augmentation du nombre maximal de jours consécutifs secs. L'examen, réalisé à la fois à l'aide du modèle ARPEGE-Climat et des MRC d'ENSEMBLES, de la possibilité d'utilisation d'une méthode de réduction d'échelle statistique basée sur les régimes de temps de l'Atlantique nord pour la déduction des changements futurs des précipitations locales, montre la déficience de ce type d'approche dans le cas de la pluviométrie hivernale marocaine. La méthode de correction par quantiles étendues aux régimes de temps de l'Atlantique nord et appliquée aux sorties d'ARPEGE-Climat confirme le signe des changements issus de ce modèles, malgré un effet légèrement modérateur de leurs amplitudes. L'évaluation des impacts potentiels sur l'hydrologie à l'aide du modèle hydrologique GR2M et des scénarios climatiques d'ARPEGE-Climat, montre une future réduction des débits mensuels au niveau du bassin versant de la Moulouya du fait de la concomitance de précipitations moins abondantes et d'une évapotranspiration potentielle accrue par l'augmentation de température. Enfin, une descente d'échelle dynamique réalisée à l'aide du modèle à aire limitée ALADIN-Climat à très haute résolution (12km) sur la moitié nord du pays permet de confirmer dans l'ensemble les projections issues d'ARPEGE-Climat à la fois en termes de moyennes et d'extrêmes. / In the context of climate change, it is important to improve climate information concerning countries that may be negatively impacted by global warming such as Morocco. Indeed, various studies of future projections, including IPCC ones, are mainly based on the outputs of low resolution climate models that do not allow accessing the regional and local scales. The first part of this work focuses on the study and analysis of observed climate evolution and trends in Morocco through a set of climate indices. Moroccan rainfall is characterized by a high interannual variability and more frequent droughts have occurred since the early 1980s. Furthermore, a clear change is shown in the distribution of precipitation during the period 1961-2008. It consists in a shift towards warmer and drier conditions. The assessment of future climate changes is done, firstly, using a variable resolution version of the global GCM ARPEGE-Climat with high resolution over Morocco (50km). The examination of this version capability shows the ability of the model to well reproduce the large scale circulation as well as the interannual variability of Moroccan rainfall despite an underestimation of its amount. A reduction of winter rainfall over the whole country is projected by the model for 2021-2050. In the region located west of the Atlas Mountains, the reduction could concern the wettest part of the year (ONDJFM). The changes in rainfall characteristics may also occur through a decrease in the number of wet days and the number of heavy precipitation events and by more persistent droughts. Furthermore, an increase of mean temperature is projected at annual and seasonal scales. The outputs of ten RCMs of the FP6-ENSEMBLES (ENSEMBLES) project are used to assess the uncertainties associated to future climate change. The changes issued from ARPEGE-Climat are in the range covered by the ten RCMs. Most of the models agreed on a reduction of winter precipitation associated with a decrease in the number of heavy precipitation events and an increase in the number of maximum consecutive dry days. The evaluation of a statistical downscaling approach that uses large scale fields such as North Atlantic weather regimes to construct local scenarios of future climate change shows the deficiency of this approach in the case of Moroccan winter precipitation. This result is obtained by both ARPEGE-Climat and the ENSEMBLES RCMs. The quantile-quantile correction method extended to weather regimes and applied to the outputs of ARPEGE-Climat confirms the sign of the changes despite a slight reduction of their amplitudes. The assessment of potential impacts on hydrology done using the hydrological model GR2M and the climate scenarios issued from ARPEGE-Climat shows a future reduction of the Moulouya watershed discharges. This is due to the combination of a rainfall decrease and an enhanced potential evapotranspiration induced by increasing temperature. Finally, a dynamical downscaling achieved using the limited area model ALADINClimat with very high resolution (12km) on the northern half of the country allows a further assessment of future climate changes and related uncertainties. The projections issued from ARPEGE-Climat are generally confirmed both in terms of average and of extremes

Orientador: José Eduardo Zaine / Resumo: As corridas de detritos ou debris flows são os fenômenos de movimentação de massa mais impactantes no Brasil, com destaque para a região serrana do Estado de São Paulo. São movimentos de massa complexos, que se comportam na forma de fluxos altamente densos, responsáveis pelo grande aporte de material grosseiro no decorrer das drenagens, com grande poder de impacto e raio de destruição. Esta pesquisa buscou aprimorar o conhecimento acerca dos movimentos de massa do tipo corrida de detritos, por meio de uma classificação bibliográfica sistemática do fenômeno, assim como dos seus principais fatores indutores na região da Serra do Mar. A área escolhida para o estudo foi uma bacia hidrográfica no município de Cubatão/SP, devido ao grande histórico de eventos desse tipo, como os ocorridos em 1994, que foram responsáveis pela paralização das operações na Refinaria Presidente Bernardes, resultando em altos prejuízos financeiros. Em 2013, no Rio Pilões, outro evento de magnitude similar comprometeu a infraestrutura da Sabesp, resultando em uma morte. Tomando como recorte de estudo a bacia hidrográfica do Rio das Pedras, o objetivo principal foi desenvolver, por meio de metodologias de gestão e mapeamento uma proposta de gerenciamento preventivo à ocorrência de corridas de detrito em bacias hidrográficas na Serra do Mar. Assim, por meio da avaliação da suscetibilidade, aplicação de equações empíricas, mapeamento geológico-geomorfológico e definição de cenários de risco com precipitação... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The debris flows are the most striking mass movement phenomena in Brazil, with emphasis on the mountain region of the State of São Paulo. They are complex mass movements, which behave in the form of highly dense flows, responsible for the great contribution of coarse material during the drainage, with great impact power and radius of destruction. This research aimed to improve the knowledge about mass movements of the type of debris run, through a systematic bibliographic classification of the phenomenon, as well as its main inductive factors in the Serra do Mar region. The area chosen for the study was a basin in the municipality of Cubatão / SP, due to the great history of events of this type, such as those occurred in 1994, which were responsible for the paralysis of operations at the Presidente Bernardes Refinery, resulting in high financial losses. In 2013, at Rio Pilões, another event of similar magnitude compromised Sabesp's infrastructure, resulting in one death. Taking as a study study the Rio das Pedras river basin, the main objective was to develop, through management and mapping methodologies, a proposal of preventive management to the occurrence of detritus races in watersheds in the Serra do Mar. Thus, through the evaluation of susceptibility, the application of empirical equations, geological-geomorphological mapping and the definition of risk scenarios with critical precipitation, resulted in a better estimate of a risk scenario closer to the real one possible... (Complete abstract click electronic access below) / Mestre

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