<p>In the next few decades, the nuclear industry worldwide is expected to launch a set of reactors with advanced reactor designs. Generation-IV (GEN-IV) reactors are to display superior safety by incorporating additional passive safety concepts as well as improving accident management and minimization of consequences. Canada is in the early stages of conceiving its GEN-IV reactor design – the Supercritical Water Reactor (SCWR). The proposed design is based on the existing CANDU configurations and is expected to offer significant advances in thermal efficiency, fuel cycle sustainability, and relative cost of energy. Of particular interest is the reactor's ability to use inherent or passive safety concepts which will translate to the reactor being walk-away safe in an accident.</p> <p>Steam generators in CANDU remove decay heat by thermosyphoning in a loss of Class-IV power accident. This natural circulation process was a passive feature in GEN-II and GEN-III CANDUs. The SCWR's direct thermodynamic cycle implies steam generators are no longer incorporated into the design. This thesis examines how the SCWR compensates for the removal of a passive safety system element and the difference to the overall safety of the reactor following accidents. These results will be compared to the traditional CANDU's response in accidents to demonstrate the added value of this new reactor in maintaining the goal of no widespread core damage. Comparisons were also made between the SCWR and similar GEN-IV reactors in terms of design and response to various initiating events.</p> <p>Probabilistic Risk Analysis is used in this thesis to assess the SCWR design options. Although the SCWR is in the pre-conceptual design phase, the results of such risk assessment studies could affect the design, operation, and licensing of this new reactor. Future studies can build on this work to conduct more detailed analyses to characterise the SCWR's safety and reliability.</p> / Master of Applied Science (MASc)

Tunnelling in urban areas is one of the most challenging engineering activities, as it has relatively high “risk” due to various uncertainties and the intensity of the possible consequences. Numerous studies have been conducted to address the tunnelling risk, by mainly focusing on the “identification” of the causes and how to control or mitigate the risks. However, limited work has been done on how to quantify the risk by considering the multi-level uncertainties encountered in different phases of the project. The primary objective of this work is to develop a multi-scale risk management (RM) framework to address and quantify the risk of ground surface settlement, induced by tunnelling, in soft clay in urbanized areas. The specific focus is placed on quantifying the risk of tunnel-induced settlement for existing buildings, by taking into account multiple uncertainty levels (e.g. uncertainties of parameters, uncertainties of models, etc.). The framework addresses the tunnel-induced settlement risk, both during the construction of the tunnel as well as after its completion, for buildings with shallow and deep foundations. It offers different classes of assessment to quantify the risk, according to the structure’s current condition and the corresponding limit-state function, that is designated to each class. The RM framework is aligned with ISO 31000 risk management act, consisting of “risk identification”, “risk analysis” and “risk evaluation”. Risk identification includes studies on tunnelling technical reports, field observations, etc., in order to identify the causes of short-term and long-term tunnelling-induced settlement. The risk analysis involves a series of fault tree, event tree and consequence tree analyses to estimate the likelihood of the ground subsidence and subsequent events. For risk evaluation, different probabilistic methods (e.g. first-order reliability method, second-order reliability method and Monte Carlo sampling) are utilized to estimate the risk of surface buildings with shallow and deep foundations. The framework has been implemented in an example problem, to demonstrate the procedure and to address the main influential parameters in each class of assessment using the alpha importance measure. Rt risk tool has been utilized to perform reliability calculations and FORM has been used as the primary method due to its valuable balance between computational cost and accuracy. The outcomes of this RM framework are risk registers and colour-coded risk maps including the exceedance probability of a predefined settlement threshold for each building in the affected area. This framework receives technical data and provides risk-based information for higher-level managers and decision-makers to prioritize their actions and allocate their resources in the most effective way. / Thesis / Master of Applied Science (MASc) / The aim of this study is to provide a multi-level risk management (RM) framework to address and quantify the risk of surface building settlement induced by tunnelling in soft clay in urbanized areas. The focused is placed on quantifying the risk of tunnel-induced settlement of existing buildings, by taking into account multiple uncertainty levels. The framework addresses the tunnel-induced settlement risk, both during the construction of the tunnel as well as after its completion, for buildings with shallow and deep foundations. It offers different classes of assessment to quantify the risk, according to the structure’s current condition and with respect to specific limit-state functions designated for each class. The proposed framework was implemented in an example to demonstrate the procedure and outcomes.

Idag används affärssystem inom de flesta verksamheter. Syftet med att använda sig av ett affärssystem är att det ska stödja verksamhetens handlingar och bidra till effektivitet inom organisationen. I dagens läge har de flesta verksamheter infört eller tänkt införa/byta ut ett affärssystem vilket ibland inte är så lätt. Införandet och användandet av ett affärssystem kan potentiellt leda till många förändringar. Jag kommer att med denna studie påvisa vilka faktorer verksamheter behöver ha med sig för att lyckas med ett affärssystemsinförande men samtidigt ta upp vilka fallgropar man ska se sig för vid införandet. Detta för att göra införandet så smidigt som möjligt och inte leda till för många ”dåliga” förändringar.För att få svar på detta har jag baserat min uppsats på teoretiskt och empiriskt material. Jag har utgått från existerande teorier och relaterat dessa till mitt empiriska underlag. Den information jag samlar in har jag fått genom två intervjuer av företag som är i ett skede att införa ett nytt affärssystem samtidigt som jag underbyggt dessa intervjuer med relevant teori.Till viss del går denna studie att generalisera men jag ser denna studie mer som ett riktmärke till företag som ska eller har funderat på att byta ut eller införa ett affärssystem.

In order to prevent power system blackout, and enhance system reliability, various forms of special protection systems (SPS) and defense plans have been implemented by utilities around the world. One of the main concerns in the design of an SPS is to assure whether the system could fit with the reliability specification requirements. The failure of SPS to detect the defined conditions and carry out the required actions, or to take unnecessary actions, could lead to serious and costly consequences. Thus, a quantitative reliability assessment for SPS is important and necessary. Using a single point value for the parameter to evaluate the reliability of SPS might give incomplete information about the system reliability due to the uncertainty of reliability model and input data. When a review study suggests that some modifications of the existing scheme are necessary, the sensitivity analysis techniques could provide the tools to do this investigation to identify the most significant components that have essential effects on the reliability of the SPS. In this dissertation, by incorporating an interval theory, a risk reduction worth importance concept, and a probabilistic risk-based index, a procedure is proposed to conduct parameter uncertainty analysis, identify critical factors in the reliability model, perform probabilistic risk assessments (PRA) and determine a better option for the refinement of the studied SPS decision process logic module. One of the existing SPSs of Taipower systems is used to illustrate the practicability and appropriation of the proposed design refinement procedure. With the advent of deregulation in the power industry, utilities have experienced a great pressure to fully utilize their current facilities to the maximum level. SPSs are often considered as a cost effective way in achieving this goal. This dissertation also presents a framework for quantitative assessment of the benefits and risks due to SPS implementation. Changes in energy, spinning reserve and customer interruption costs resulting from SPS operations are evaluated and risks of SPS operations and system security are assessed. The proposed methodologies are useful for power system planners and operators to evaluate the value and effectiveness of SPS for the remedy of transmission congestion and reliability problems.

L'étude probabiliste de sûreté (EPS) parasismique est l'une des méthodologies les plus utiliséespour évaluer et assurer la performance des infrastructures critiques, telles que les centrales nucléaires,sous excitations sismiques. La thèse discute sur les aspects suivants: (i) Construction de méta-modèlesavec les réseaux de neurones pour construire les relations entre les intensités sismiques et les paramètresde demande des structures, afin d'accélérer l'analyse de fragilité. L'incertitude liée à la substitution desmodèles des éléments finis par les réseaux de neurones est étudiée. (ii) Proposition d'une méthodologiebayésienne avec réseaux de neurones adaptatifs, afin de prendre en compte les différentes sourcesd'information, y compris les résultats des simulations numériques, les valeurs de référence fournies dansla littérature et les évaluations post-sismiques, dans le calcul de courbes de fragilité. (iii) Calcul des loisd'atténuation avec les réseaux de neurones. Les incertitudes épistémiques des paramètres d'entrée de loisd'atténuation, tels que la magnitude et la vitesse moyenne des ondes de cisaillement de trente mètres, sontprises en compte dans la méthodologie développée. (iv) Calcul du taux de défaillance annuel en combinantles résultats des analyses de fragilité et de l'aléa sismique. Les courbes de fragilité sont déterminées parle réseau de neurones adaptatif, tandis que les courbes d'aléa sont obtenues à partir des lois d'atténuationconstruites avec les réseaux de neurones. Les méthodologies proposées sont appliquées à plusieurs casindustriels, tels que le benchmark KARISMA et le modèle SMART. / Seismic probabilistic risk assessment (SPRA) is one of the most widely used methodologiesto assess and to ensure the performance of critical infrastructures, such as nuclear power plants (NPPs),faced with earthquake events. SPRA adopts a probabilistic approach to estimate the frequency ofoccurrence of severe consequences of NPPs under seismic conditions. The thesis provides discussionson the following aspects: (i) Construction of meta-models with ANNs to build the relations betweenseismic IMs and engineering demand parameters of the structures, for the purpose of accelerating thefragility analysis. The uncertainty related to the substitution of FEMs models by ANNs is investigated.(ii) Proposal of a Bayesian-based framework with adaptive ANNs, to take into account different sourcesof information, including numerical simulation results, reference values provided in the literature anddamage data obtained from post-earthquake observations, in the fragility analysis. (iii) Computation ofGMPEs with ANNs. The epistemic uncertainties of the GMPE input parameters, such as the magnitudeand the averaged thirty-meter shear wave velocity, are taken into account in the developed methodology.(iv) Calculation of the annual failure rate by combining results from the fragility and hazard analyses.The fragility curves are determined by the adaptive ANN, whereas the hazard curves are obtained fromthe GMPEs calibrated with ANNs. The proposed methodologies are applied to various industrial casestudies, such as the KARISMA benchmark and the SMART model.

No description available.

Risk assessment is essential for nuclear power plants (NPPs) due to the complex dynamic nature of such systems-of-systems, as well as the devastating impacts of nuclear accidents on the environment, public health, and economy. Lessons learned from the Fukushima nuclear accident demonstrated the importance of enhancing current risk assessment methodologies and developing efficient early warning decision support tools. Static probabilistic risk assessment (PRA) techniques (e.g., event and fault tree analysis) have been extensively adopted in nuclear applications to ensure NPPs comply with safety regulations. However, numerous studies have highlighted the limitations of static PRA methods such as the lack of considering the dynamic hardware/software/operator interactions inside the NPP and the timing/sequence of events. In response, several dynamic probabilistic risk assessment (DPRA) methodologies have been developed and continuously evolved over the past four decades to overcome the limitations of static PRA methods. DPRA presents a comprehensive approach to assess the risks associated with complex, dynamic systems. However, current DPRA approaches are faced with challenges associated with the intra/interdependence within/between different NPP complex systems and the massive amount of data that needs to be analyzed and rapidly acted upon. In response to these limitations of previous work, the main objective of this dissertation is to develop a physics-based DPRA platform and an intelligent data-driven prediction tool for NPP safety enhancement under normal and abnormal operating conditions. The results of this dissertation demonstrate that the developed DPRA platform is capable of simulating the dynamic interaction between different NPP systems and estimating the temporal probability of core damage under different transients with significant analysis advantages from both the computational time and data storage perspectives. The developed platform can also explicitly account for uncertainties associated with the NPP's physical parameters and operating conditions on the plant's response and probability of its core damage. Furthermore, an intelligent decision support tool, developed based on artificial neural networks (ANN), can significantly improve the safety of NPPs by providing the plant operators with fast and accurate predictions that are specific to such NPP. Such rapid prediction will minimize the need to resort to idealized physics-based simulators to predict the underlying complex physical interactions. Moving forward, the developed ANN model can be trained under plant operational data, plants operating experience database, and data from rare event simulations to consider for example plant ageing with time, operational transients, and rare events in predicting the plant behavior. Such intelligent tool can be key for NPP operators and managers to take rapid and reliable actions under abnormal conditions. / Thesis / Doctor of Philosophy (PhD)

The current thesis focuses on estimating the damage levels and evaluating the out-of-plane behavior of fully-grouted reinforced masonry (RM) structural walls under blast loading, a load that they are typically not designed to resist. Twelve third-scale RM walls were constructed and tested under free-field blast tests. Three different reinforcement ratios and three different charge weights have been used on the walls, with scaled distances down to 1.7 m/kg1/3 and two different boundary conditions, to evaluate the walls’ performances. In general, the results show that the walls are capable of withstanding substantial blast load levels with different extents of damage depending on their vertical reinforcement ratio and scaled distance. It worth mention that the current definitions of damage states, specified in ASCE/SEI 59-11 (ASCE 2011) and CAN/CSA S850-12 (CSA 2012) standards, involve global response limits such as the component support rotations that are relatively simple to calculate. However, these quantitative damage state descriptors can be less relevant for cost–benefit analysis. Moreover, the reported experimental results showed that the use of quantitative versus qualitative damage descriptors specified by North American blast standards [ASCE 59-11 (ASCE 2011) and CSA S850-12 (CSA 2012)] can result in inconstancies in terms of damage state categorization. Therefore, revised damage states that are more suitable for a cost–benefit analysis, including repair technique and building downtime, were presented. These damage states are currently considered more meaningful and have been used to quantify the post-earthquake performance of buildings. In addition, a nonlinear single-degree-of-freedom (SDOF) model is developed to predict the out-of-plane behavior of RM structural walls under blast loading. The proposed SDOF model is first verified using quasi-static and free-field blast tests and then subsequently used to extend the results of the reported experimental test results with different design parameters such as threat level, reinforcement ratio, available block width, wall height, and material characteristics. In general, brittle behavior was observed in the walls with a reinforcement ratio higher than 0.6%. This is attributed to the fact that seismically detailed structural masonry walls designed to respond in a ductile manner under in-plane loads might develop brittle failure under out-of-plane loads because of their reduced reinforcement moment arm. In addition, increased ductility can be achieved by using two reinforcement layers instead of a single layer, even if the reinforcement ratio is reduced. Also, it is recommended to consider the use of larger concrete masonry blocks for the construction of RM structural walls that are expected to experience blast loads in order to reduce the slenderness ratio and for the placement of two reinforcement layers. Finally, a probabilistic risk assessment (PRA) framework is proposed in order to develop design basis threat (DBT) fragility curves for reinforced concrete block shear wall buildings, which can be utilized to meet different probabilities of failure targets. To illustrate the proposed methodology, an application is presented involving a medium–rise reinforced masonry building, under different DBT levels. The DBT fragility curves are obtained via Monte Carlo sampling of the random variables and are used to infer the locations, within the building premises, that are most suitable for the erection of barriers for blast hardening. / Thesis / Doctor of Philosophy (PhD)

La prima parte dell’elaborato presenta le origini e lo sviluppo delle politiche di valutazione del rischio per le sostanze chimiche. Dopo un primo inquadramento storico, l’attenzione è stata dedicata a temi emergenti come la valutazione delle incertezze, la necessità di integrazione delle valutazioni del rischio per l’uomo e per l'ambiente. La seconda parte presenta l’evoluzione delle politiche di valutazione del rischio dei prodotti fitosanitari, soprattutto a livello europeo (dall’applicazione della direttiva 91/414 all’attuale regolamento 1107/2009), con particolare attenzione all’applicazione del principio di precauzione. Il terzo capitolo approfondisce le fasi e gli approcci delle attuali procedure di valutazione ambientale del rischio dei pesticidi usati a livello europeo e americano; è stato in particolar modo esplorato il tema dell’individuazione degli obiettivi specifici di protezione in fase preliminare di valutazione del rischio. Il quarto capitolo tratta di un tema attualmente molto dibattuto, ovvero la valutazione dei potenziali effetti combinati sugli organismi non bersaglio esposti a più sostanze attive simultaneamente. Infine, l’obiettivo del quinto capitolo è quello di valutare la contaminazione ambientale dovuta all’applicazione di fungicidi a base rame su melo. A tale scopo è stato testato un nuovo modello per il calcolo integrato dell’esposizioni umana e ambientale MERLIN – Expo, sviluppato grazie al progetto europeo 4FUN. I risultati ottenuti per le acque superficiali e il sedimento sono stati confrontati con i risultati degli attuali modelli usati in Unione Europea, i modelli FOCUS. Le simulazioni probabilistiche hanno anche permesso di effettuare valutazioni di incertezza e sensitività sui parametri utilizzati nelle simulazioni. / This PhD thesis is a multidisciplinary work on the risk assessment of plant protection products including both legislative and scientific aspects. The first part of the thesis introduces the origin of risk assessment procedures with a wide glance on the whole process of risk analysis to protect the humans and the environment. The accent is put on emerging issues and trends, such as the uncertainties appraisal, the necessity of integration between human and environmental impacts without ignoring socio- economic and behavioural factors. The second chapter deals with the origin and development of global risk assessment policies on pesticides. It focuses in particular on European policies, from the original Directive 91/414 to the current Regulation 1107/2009 and the application of the precautionary principle. A brief comparison with US approaches for risk assessment is also presented. The third chapter gives an overview on the risk assessment procedures that nowadays provide the highest achievable protection for the environment, starting with the definition of clear and specific protection goals. The fourth chapter addresses the issue of combined risk assessment of pesticides: current approaches for the evaluation of effects on non-target organisms are analysed. The last chapter is dedicated to the estimation of the environmental contamination following the application of copper –based fungicides sprayed on orchards by using MERLIN - Expo, which is a multimedia model developed in the frame of the FP7 EU project 4FUN. The performance of the MERLIN- Expo software in estimating the contamination of the metal is also analysed through a comparison with the currently used FOCUS standard models for the calculation of pesticides concentrations in surface water and sediment. Both deterministic and probabilistic simulations have been run; the latter has allowed to perform uncertainty and sensitivity assessment.

La chair de poisson et de mammifères marins constitue une source importante de protéines et de bons nutriments, tels que le sélénium (Se), la vitamine E et les acides gras polyinsaturés à longues chaînes. Cependant, la chair de ces animaux peut aussi bioaccumuler la forme organique de mercure (Hg), le méthylmercure (MeHg). Ce contaminant a fait l’objet de plusieurs études épidémiologiques, notamment en raison de sa neurotoxicité résultant d’une exposition in utero, étroitement reliée à l’ingestion de poissons fortement contaminés en MeHg. En réponse à ce risque toxicologique, les autorités sanitaires ont émis des lignes directrices quant à la consommation de poissons dans le but de protéger la population. Cependant, ces recommandations présentent certaines limites qui sont liées aux prémisses et aux omissions de l’équation déterministe utilisée pour évaluer l’exposition au MeHg par Santé Canada: (1) elles considèrent que 100% du Hg présent dans la chair de poisson est sous forme de MeHg, (2) elles supposent que le MeHg est distribué de façon homogène à l’intérieur de la chair de poisson, (3) elles prennent pour acquis que 100% du MeHg sera absorbé par le consommateur et (4) par l’utilisation d’une approche déterministe, elles omettent la potentielle incertitude et variabilité intra-populationnelle au niveau des données. L’objectif de cette thèse visait à explorer ces limites, afin de mieux comprendre l’exposition du consommateur au MeHg. Nous avons tout d’abord évalué la distribution du MeHg, du Se (antagoniste du MeHg) et de l’arsenic (As : antagoniste du Se) à l’intérieur de l’appareil musculaire d’un même poisson, en fonction de sa composition en biomolécules (protéines et lipides). Nos résultats démontrent que la présence concomitante de muscles rouges et blancs induit un gradient important de biomolécules à l’intérieur de l’appareil musculaire d’un même individu, provoquant par le fait même une variation moyenne de 2.2 fois quant à la distribution des métal(loide)s, qui se distribuent en fonction de leurs affinités biochimiques. Ces résultats confirment que le MeHg peut se distribuer de façon hétérogène à l’intérieur du muscle de poisson, ce qui pourrait mener à une sous- ou surestimation de l’exposition au MeHg pour le consommateur, en fonction de la partie du poisson qui est consommée. Par la suite, nous nous sommes attardés à l’hypothèse stipulant que 100% du MeHg est absorbé par le consommateur. Une des méthodes utilisées pour estimer la fraction de MeHg qui serait disponible à être absorbée par la paroi intestinale consiste à mesurer la bioaccessibilité, c’est-à-dire la fraction soluble de MeHg, à l’aide d’un modèle de digestion in vitro. Plusieurs études ayant utilisé cette approche observent que la cuisson de la chair de poisson diminue significativement la bioaccessibilité du MeHg, ce qui diminuerait sa potentielle absorption intestinale. Nous avons donc conduit une expérience in vivo en utilisant un modèle porcin et en parallèle, nous avons utilisé un modèle de digestion in vitro. Selon les profils sanguins porcins, la biodisponibilité orale du MeHg provenant de la chair de thon cuite n’est pas moins élevée que celle mesurée avec la chair de thon crue. En contraste, nous avons obtenu une bioaccessibilité de MeHg moins élevée avec la chair de thon cuite. Nos résultats démontrent que les modèles de digestion in vitro actuels ne sont pas suffisamment optimisés pour être utilisés directement dans les calculs d’exposition au MeHg, tels que proposés récemment dans la littérature. Finalement, nous avons testé l’impact d’ajout de variables supplémentaires dans l’équation déterministe actuellement utilisée par Santé Canada pour évaluer l’exposition du consommateur au MeHg, en conduisant une évaluation probabiliste du risque. Notamment, nous avons considéré (1) la proportion de Hg méthylée par rapport à la quantité de Hg, (2) la bioaccessibilité et (3) l’augmentation de la concentration du MeHg suite à la cuisson de la chair de poisson, créée par la perte d’humidité. Nos résultats sont clairs : chaque ajout de variable indépendante augmente ou diminue significativement l’exposition calculée, soulignant la sensibilité de l’équation utilisée pour évaluer l’exposition au MeHg. Ceci suggère que de plus amples recherches devront être conduites avant d’effectuer une quelconque modification dans l’équation de l’exposition au MeHg, par souci de ne pas sous-estimer celle-ci. Cette thèse illustre que les recommandations sont difficilement généralisables puisque la chair de poisson et de mammifères présente des propriétés différentes, en fonction de l’espèce animale considérée. Cette thèse démontre que l’équation déterministe utilisée par Santé Canada dans l’évaluation de l’exposition au MeHg devrait être mieux approfondie par la sphère scientifique, particulièrement dans le cas des mammifères marins. / Fish flesh and marine mammals is an important source of proteins and nutrients, such as selenium (Se), vitamin E and long chain polyunsaturated fatty acids. However, flesh of those animals may bioaccumulate the organic form of mercury (Hg), methylmercury (MeHg). This contaminant has been the subject of various epidemiological studies, namely because of its neurotoxicity through in utero exposure, closely related to highly MeHg contaminated fish consumption. In response to this toxicological risk, health authorities have set fish consumption guidelines in order to protect the population. Still, those guidelines present limits that are related to premises and omissions of the determinist equation used by Health Canada in order to assess the exposure to MeHg: (1) it considers that 100% of Hg in fish flesh is MeHg, (2) it supposes that MeHg is homogeneously distributed within fish flesh, (3) it takes for granted that 100% of MeHg will be absorbed by the consumer and (4) by using a determinist approach, they omit the potential uncertainty and intra-population variability in the data. The aim of this thesis was to address these limits, in order to better understand the exposure of MeHg for consumers. We first assessed the distribution of MeHg, Se (MeHg antagonist) and arsenic (As, Se antagonist) within fish musculature, as a function of its biomolecule composition (proteins and lipids). Our results demonstrated that the concomitant presence of white and red muscle induces a large gradient of protein and lipid within the muscular apparatus of the same individual. This in turn causes on average a variation by 2.2-fold regarding MeHg, Se and As bioaccumulation, which are distributed according to their biochemical affinity. Those results confirmed that MeHg can distribute heterogeneously within fish muscle, which could lead to an under- or overestimation of MeHg exposure for consumers, as function of the part of the fish consumed. Subsequently, we focused on the hypothesis stipulating that 100% of MeHg is absorbed by the consumer. A method used to assess the fraction of MeHg that would be available to be further absorbed by the gut wall consists of measuring the bioaccessibility, i.e. the soluble fraction of MeHg, using an in vitro digestion model. Several studies that assessed the bioaccessibility of cooked fish flesh observed a decreased of MeHg solubility, that would potentially diminish its intestinal absorption. However, those results have not been yet validated in vivo. To that end, we conducted an in vivo experience using the pig model and, in parallel, we used an in vitro digestion model. According to the pig’s blood profile, the oral bioavailability of MeHg from cooked tuna flesh is not less bioavailable than the MeHg from the raw tuna. Contrasting results have been found with the in vitro model, with a decrease of MeHg bioaccessibility observed when fish flesh is cooked. Our results demonstrated that in vitro digestion models are not optimized to be directly used in MeHg exposure calculus as recently proposed in the literature. Finally, we tested the impact of adding variables to the deterministic equation currently used by Health Canada to assess consumer exposure to MeHg, by conducting a probabilistic risk assessment. We considered (1) the proportion of Hg that is MeHg, (2) the MeHg bioaccessibility and (3) the increased of MeHg level after the cooking of fish flesh due to moisture loss. Our results showed that each individual variable significantly increases or decreases the calculated exposure. Thereby, it highlights the sensitivity of the equation used to assess the exposure of MeHg. It strongly suggests that more research is needed to improve Hg exposure calculation to avoid underestimating the potential health risks of MeHg exposure. This thesis presents important results regarding the exposure of MeHg through fish and marine mammals’ consumption. This thesis shows that the recommendations are difficult to generalize since the flesh of fish and mammals has different properties, depending on the animal species considered. The conclusions of this thesis demonstrate that the premises and omissions of the deterministic equation used by Health Canada in the assessment of exposure to Hg should be better investigated by the scientific sphere, especially in the case of marine mammals.