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Relevant bibliographies by topics / Uncertainties and risk analysis

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Academic literature on the topic 'Uncertainties and risk analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Uncertainties and risk analysis"

1

Merz, B., H. Kreibich, and H. Apel. "Flood risk analysis: uncertainties and validation." Österreichische Wasser- und Abfallwirtschaft 60, no. 5-6 (2008): 89–94. http://dx.doi.org/10.1007/s00506-008-0001-4.

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Cox, Louis Anthony Tony. "Confronting Deep Uncertainties in Risk Analysis." Risk Analysis 32, no. 10 (2012): 1607–29. http://dx.doi.org/10.1111/j.1539-6924.2012.01792.x.

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Osadská, Vladimíra. "Stochastic Methods in Risk Analysis." TRANSACTIONS of the VŠB – Technical University of Ostrava, Safety Engineering Series 12, no. 1 (2017): 61–67. http://dx.doi.org/10.1515/tvsbses-2017-0008.

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Abstract In this paper, we review basic stochastic methods which can be used to extend state-of-the-art deterministic analytical methods for risk analysis. We can conclude that the standard deterministic analytical methods highly depend on the practical experience and knowledge of the evaluator and therefore, the stochastic methods should be introduced. The new risk analysis methods should consider the uncertainties in input values. We present how large is the impact on the results of the analysis solving practical example of FMECA with uncertainties modelled using Monte Carlo sampling.

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Paté-Cornell, M. Elisabeth. "Uncertainties in risk analysis: Six levels of treatment." Reliability Engineering & System Safety 54, no. 2-3 (1996): 95–111. http://dx.doi.org/10.1016/s0951-8320(96)00067-1.

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Wang, Renyou, Urmila Diwekar, and Catherine E. Grégoire Padró. "Efficient sampling techniques for uncertainties in risk analysis." Environmental Progress 23, no. 2 (2004): 141–57. http://dx.doi.org/10.1002/ep.10020.

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Liu, Mei. "Program Evaluation and Review Technique (PERT) in Construction Risk Analysis." Applied Mechanics and Materials 357-360 (August 2013): 2334–37. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2334.

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Construction project scheduling is one of the most critical factors for project success measurement. Critical Path Method (CPM) is commonly used in the construction industry for project scheduling. CPM is a deterministic method that ignores uncertainties in activities through the network, which determines the duration of the projects. Program Evaluation and Review Technique (PERT) is a probabilistic method based on the assumption that the duration of a single activity can be described by a probability density function. PERT takes into account the uncertainties during the construction process t

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Berchtold, Florian, Lukas Arnold, Christian Knaust, and Sebastian Thöns. "Uncertainty Modelling in Metamodels for Fire Risk Analysis." Safety 7, no. 3 (2021): 50. http://dx.doi.org/10.3390/safety7030050.

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In risk-related research of fire safety engineering, metamodels are often applied to approximate the results of complex fire and evacuation simulations. This approximation may cause epistemic uncertainties, and the inherent uncertainties of evacuation simulations may lead to aleatory uncertainties. However, neither the epistemic ‘metamodel uncertainty’ nor the aleatory ‘inherent uncertainty’ have been included in the results of the metamodels for fire safety engineering. For this reason, this paper presents a metamodel that includes metamodel uncertainty and inherent uncertainty in the results

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Cauvin, Maxime, Thierry Verdel, and Romuald Salmon. "Modeling Uncertainties in Mining Pillar Stability Analysis." Risk Analysis 29, no. 10 (2009): 1371–80. http://dx.doi.org/10.1111/j.1539-6924.2009.01237.x.

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Stefan, R. I., George Emil Baiulescu, Hassan Y. Aboul-Enein, and Jacobus F. van Staden. "Estimation of uncertainties in clinical analysis." Accreditation and Quality Assurance 4, no. 6 (1999): 225–29. http://dx.doi.org/10.1007/s007690050356.

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Xu, Junrui, and James H. Lambert. "Risk-Cost-Benefit Analysis for Transportation Corridors with Interval Uncertainties of Heterogeneous Data." Risk Analysis 35, no. 4 (2014): 624–41. http://dx.doi.org/10.1111/risa.12231.

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Dissertations / Theses on the topic "Uncertainties and risk analysis"

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Stergiou, Evangelos Kiremidjian Anne S. "Treatment of uncertainties in seismic-risk analysis of transportation systems /." Berkeley, Calif. : Pacific Earthquake Engineering Research Center, 2008. http://peer.berkeley.edu/publications/peer_reports.html.

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Costa, Ana Paula de Araujo. "Quantificação do impacto de incertezas e analise de risco no desenvolvimento de campos de petroleo." [s.n.], 2003. http://repositorio.unicamp.br/jspui/handle/REPOSIP/287305.

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Orientador: Denis J. Schiozer<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica, Instituto de Geociencias<br>Made available in DSpace on 2018-08-03T22:12:51Z (GMT). No. of bitstreams: 1 Costa_AnaPauladeAraujo_D.pdf: 9915429 bytes, checksum: a40f2db4e99e0acac5a9bca4b773c0f8 (MD5) Previous issue date: 2003<br>Resumo: Na análise de decisão aplicada ao desenvolvimento de campos de petróleo deve ser levado em consideração o risco associado a vários tipos de incertezas. Na transição entre as fases de avaliação e desenvolvimento, a importância do risco associ

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Ben, Abdallah Nadia. "Modeling sea-level rise uncertainties for coastal defence adaptation using belief functions." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP1616.

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L’adaptation côtière est un impératif pour faire face à l’élévation du niveau marin,conséquence directe du réchauffement climatique. Cependant, la mise en place d’actions et de stratégies est souvent entravée par la présence de diverses et importantes incertitudes lors de l’estimation des aléas et risques futurs. Ces incertitudes peuvent être dues à une connaissance limitée (de l’élévation du niveau marin futur par exemple) ou à la variabilité naturelle de certaines variables (les conditions de mer extrêmes). La prise en compte des incertitudes dans la chaîne d’évaluation des risques est essen

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Silva, Nelson Camurugi Senhorinho. "Metodologia de planejamento estratégico de lavra incorporando riscos e incertezas para a obtenção de resultados operacionais." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3134/tde-03062008-101455/.

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O planejamento estratégico de lavra corresponde ao processo para se determinar o \"melhor\" projeto e sequenciamento da lavra, segundo uma estratégia previamente estabelecida. É considerado um elemento chave para o sucesso de um empreendimento de mineração, uma vez que subsidia o processo decisório sobre a sua condução e desenvolvimento. Métodos de planejamento estratégico de lavra convencionais estão baseados em modelos determinísticos, que não são capazes de tomar em consideração a variabilidade intrínseca dos principais elementos que os compõem, consequentemente, podem apresentar resultados

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Abily, Morgan. "Modélisation hydraulique à surface libre haute-résolution : utilisation de données topographiques haute-résolution pour la caractérisation du risque inondation en milieux urbains et industriels." Thesis, Nice, 2015. http://www.theses.fr/2015NICE4121/document.

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Pour l'évaluation du risque inondation, l’emploi de modèles numériques 2D d’hydraulique à surface libre reposant sur la résolution des équations de Saint-Venant est courant. Ces modèles nécessitent entre autre la description de la topographie de la zone d’étude. Sur des secteurs urbains denses ou des sites industriels, cette topographie complexe peut être appréhendée de plus en plus finement via des technologies dédiées telles que le LiDAR et la photogrammétrie. Les Modèles Numériques d'Elévation Haute Résolution (HR MNE) générés à partir de ces technologies, deviennent employés dans les étude

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Mekki, Mohammed. "Approche probabiliste dans la détermination des courbes de vulnérabilité des structures en génie civil." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0061/document.

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Dans le contexte du calcul sismique basé sur la notion de performance, lesingénieurs se trouvent confrontés à une tâche difficile pour estimer la performance etévaluer les risques des systèmes sol-structure en interaction. Afin d’accomplir cette tâcheavec succès, toutes les sources d'incertitudes aléatoires et épistémiques doivent être prisesen compte au cours du processus de conception. Ainsi, des méthodes appropriées sontnécessaires pour l'étude de la propagation de l'incertitude des paramètres du systèmedécrivant la structure, le sol, et les charges appliquées aux réponses structurelles end

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Lewis, Matthew. "Uncertainties within future flood risk storm surge inundation modelling." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601160.

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Key uncertainties within inundation modelling of storm tide overflow were investigated for two regions. A northern Bay of Bengal LISFLOOD-FP inundation model was developed from freely available data sources, and forced with a storm surge model (IIDT) hind-cast of the 2007 cyclone Sidr flood event because no quality water-level records exist. Validation showed inundation prediction accuracy, with a Root Mean Squared Error (RMSE) on predicted water-level of...., 2 rn, which was similar in magnitude to the forcing water-level uncertainty. Indeed, when observed natural variability within five key

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Skinner, Daniel J. C. "A novel approach for indentifying uncertainties within environmental risk assessments." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7862.

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Uncertainties can manifest within the different aspects of environmental risk assessments, affecting the validity of the risk estimate and, in turn, weakening the basis for risk management actions. This research investigated the issues associated with uncertainty characterisation and identification in environmental risk assessments. This led to the creation of a defensible typology of uncertainties, and the creation and validation of a novel uncertainty identification system (UnISERA), based on the elicited views of experts regarding the levels (i.e. magnitudes), natures (i.e. reason for exist

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Zhang, Guohong. "Estimating uncertainties in integrated reservoir studies." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/204.

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To make sound investment decisions, decision makers need accurate estimates of the uncertainties present in forecasts of reservoir performance. In this work I propose a method, the integrated mismatch method, that incorporates the misfit in the history match into the estimation of uncertainty in the prediction. I applied the integrated mismatch method, which overcomes some deficiencies of existing methods, to uncertainty estimation in two reservoir studies and compared results to estimations from existing methods. The integrated mismatch method tends to generate smaller ranges of uncertainty

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Slawski, J. K. "Flaws, approximations and uncertainties in the estimation of the exposed-to-risk." Master's thesis, University of Cape Town, 1991. http://hdl.handle.net/11427/8372.

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Bibliography: leaves 62-64.<br>This research analyses the theoretical basis of exposed-to-risk estimation. It defends the conventional actuarial approach against criticisms raised by Hoem (1984), and, in so doing, examines in detail the development of the actuarial profession's estimation techniques. Maximum likelihood estimates are shown to be closely related to the estimates of decremental probabilities derived using the conventional actuarial approach. The correct treatment of deaths when estimating the initial exposed-to-risk is considered and contrasted with what is often used in practice

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Books on the topic "Uncertainties and risk analysis"

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Aven, T. Risk analysis: Assessing uncertainties beyond expected values and probabilities. Wiley, 2008.

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Risk analysis: Assessing uncertainties beyond expected values and probabilities. Wiley, 2008.

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service), SpringerLink (Online, ed. Measurement Uncertainties: Physical Parameters and Calibration of Instruments. Springer Berlin Heidelberg, 2012.

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Benaroya, Haym. Mechanical vibration: Analysis, uncertainties, and control. Prentice Hall, 1998.

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L, Nagurka Mark, ed. Mechanical vibration: Analysis, uncertainties, and control. 3rd ed. Taylor & Francis, 2009.

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Mechanical vibration: Analysis, uncertainties, and control. 2nd ed. Marcel Dekker, 2004.

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Management, Institute of Risk, ed. Risk analysis. Witherby & Co., 2003.

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Dickson, G. C. A. Risk analysis. Institute of Risk Management, 1987.

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Aven, Terje. Risk analysis. John Wiley & Sons, 2015.

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Aven, Terje. Risk Analysis. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119057819.

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Book chapters on the topic "Uncertainties and risk analysis"

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Kulkarni, Ram B., and Barney P. Popkin. "Addressing Uncertainties in Environmental Site Audits." In The Analysis, Communication, and Perception of Risk. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2370-7_15.

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Killough, G. G., and D. C. Dunning. "Analysis of Uncertainties in CRAC2 Calculations: The Inhalation Pathway." In Uncertainty in Risk Assessment, Risk Management, and Decision Making. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5317-1_23.

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Pyy, Pekka, and Urho Pulkkinen. "Treatment of Uncertainties in Human Reliability Analysis." In Reliability Data Collection and Use in Risk and Availability Assessment. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83721-0_30.

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Ward, R. C., D. C. Kocher, B. B. Hicks, R. P. Hosker, J. Y. Ku, and K. S. Rao. "Analysis of Uncertainties in CRAC2 Calculations: Wet Deposition and Plume Rise." In Uncertainty in Risk Assessment, Risk Management, and Decision Making. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5317-1_25.

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Cho, Sungbaek, and Zbigniew Ciechanowicz. "Dealing with Uncertainties in Risk Analysis Using Belief Functions." In Information and Communications Security. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45600-7_14.

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Bernier, Jacques. "Quantitative Analysis of Uncertainties in Water Resources: Application for Predicting the Effects of Changes." In Engineering Risk in Natural Resources Management. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-015-8271-1_22.

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Berner, N., and J. Scheuer. "MCDET analysis: From input specification of uncertainties to the probabilistic evaluation of critical variables of dynamic systems." In Risk, Reliability and Safety: Innovating Theory and Practice. CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-107.

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Grigoroudis, Evangelos, and Konstantinos Petridis. "Evaluation of National Environmental Efficiency Under Uncertainty Using Data Envelopment Analysis." In Understanding Risks and Uncertainties in Energy and Climate Policy. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03152-7_7.

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Crespo del Granado, Pedro, Christian Skar, Haris Doukas, and Georgios P. Trachanas. "Investments in the EU Power System: A Stress Test Analysis on the Effectiveness of Decarbonisation Policies." In Understanding Risks and Uncertainties in Energy and Climate Policy. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03152-7_4.

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Rawlins, Jonty, and Felix Kanungwe Kalaba. "Adaptation to Climate Change: Opportunities and Challenges from Zambia." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_167.

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AbstractContext appropriate adaptation interventions and strategies that respond directly to localized climate change stressors, hazards, and vulnerabilities are critical for the sustainable development of countries like Zambia. This chapter examines both localized and systemic climate change risk pathways and barriers to adaptation action in Zambia.A three-staged methodology was applied, combining content analysis, focus group discussions, and expert interviews. Livelihood diversification was identified as the central adaptation option across Zambia, despite little empirical research detailing possible risks of diversification. The dominant adaptation discourse is focused specifically on diversifying within agriculture-based livelihoods. However, as all agricultural activities are impacted by climate change, diversification also needs to be explored in value-added or alternative sectors. With this, a weak policy framework and enabling environment are exacerbating cycles of poverty that underpin climate change vulnerability in Zambia. Moreover, maladaptation risks of existing diversification interventions are high as generic approaches often do not provide suitable options to complex and localized risk profiles.To implement a sustainable transition toward climate resilient and compatible development in Zambia, the authors recommend that a systematic livelihood diversification strategy should be rolled out and future research programs designed to support this. Specifically, this necessitates a system-wide analysis of pre-identified livelihood diversification pathways that can be adapted to different scenarios given the current and future climate uncertainties at local scales. The approach should focus on harnessing the positive feedback loops for systematic change to build resilience, while minimizing the dominant risk pathways and eliminating persistent barriers that enable positive feedback loops driving vulnerability to climate change. Thorough stakeholder engagement and incremental development of diversification options, incentives, penalties, and other governance and/or policy mechanisms will be needed to support these processes.

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Conference papers on the topic "Uncertainties and risk analysis"

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Zeidler, A., A. Huber, D. Hug, and P. Dobesberger. "Decision uncertainties in natural hazard risk management: damage potential." In RISK ANALYSIS 2012. WIT Press, 2012. http://dx.doi.org/10.2495/risk120241.

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Sato, Yuji. "RISK PERCEPTION OF UNCERTAINTIES IN SUPPLY CHAIN." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2018. http://dx.doi.org/10.13033/isahp.y2018.047.

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Taylor, Craig, William Graf, Yajie (Jerry) Lee, Charles Huyck, and Zhenghui Hu. "Sample Treatment of Uncertainties in Earthquake Portfolio Risk Analysis." In First International Symposium on Uncertainty Modeling and Analysis and Management (ICVRAM 2011); and Fifth International Symposium on Uncertainty Modeling and Anaylsis (ISUMA). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41170(400)30.

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Li, Jun, Pinghe Ni, Hong Hao, and Yong Xia. "Probabilistic Response Analysis of Offshore Structural Risers with Uncertainties." In Proceedings of the 6th International Symposium on Reliability Engineering and Risk Management. Research Publishing Services, 2018. http://dx.doi.org/10.3850/978-981-11-2726-7_cshm09.

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Galimova, A. F., М. А. Stepanov, and О. А. Geideko. "Risk Analysis in the Modeling for Greenfield with Geological Uncertainties." In Geomodel 2019. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201950158.

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Vuillet, M., L. Peyras, C. Carvajal, D. Serre, and Y. Diab. "Subjective Probabilities to Integrate Uncertainties in Levee Performance Assessment." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.013.

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Zellmer, L. Gene. "Habitat Flexibility nd Synergy Mitigate Multiple Risks and Uncertainties." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.282.

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Beven, Keith, Philip Younger, and Jim Freer. "Struggling with Epistemic Uncertainties in Environmental Modelling of Natural Hazards." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.002.

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Wang, C., W. Gao, and S. Tangaramvong. "Hybrid Probabilistic and Non-Probabilistic Analysis of Structures with Mixed Uncertainties." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.220.

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Mao, Y. M., H. Ouyang, and J. F. Lin. "Dynamic Load Estimation of Launch Vehicles Accounting for Uncertainties of Modeling." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.051.

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Reports on the topic "Uncertainties and risk analysis"

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Sicherman, A. Analysis of automated highway system risks and uncertainties. Volume 5. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/90194.

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Pawel, David, Richard Wayne Leggett, Keith F. Eckerman, and Christopher Nelson. Uncertainties in Cancer Risk Coefficients for Environmental Exposure to Radionuclides. An Uncertainty Analysis for Risk Coefficients Reported in Federal Guidance Report No. 13. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/932607.

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Langner, R., B. Hendron, and E. Bonnema. Reducing Transaction Costs for Energy Efficiency Investments and Analysis of Economic Risk Associated With Building Performance Uncertainties: Small Buildings and Small Portfolios Program. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1150196.

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Hamilton, L. D., S. Holtzman, A. F. Meinhold, S. C. Morris, and M. D. Rowe. Uncertainties in risk assessment at USDOE facilities. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10187129.

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Kim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting

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Helms, J. Quantitative Risk Analysis. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1345342.

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Stedinger, Jery, David C. Heath, and Kay Thompson. Risk Analysis for Dam Safety Evaluation: Hydrologic Risk. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada316926.

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Shedrow, C. B. DWPF risk analysis summary. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6215794.

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Fathauer, Paul M. Incorporating uncertainties into risk assessment with an application to the exploratory studies facilities at Yucca Mountain. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/505684.

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Engel, David W. Initial Decision and Risk Analysis. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1062507.

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