Academic literature on the topic 'Disaster modelling'
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Journal articles on the topic "Disaster modelling"
Mishra, Vinaytosh, and Mohita G. Sharma. "Understanding Humanitarian Supply Chain Through Causal Modelling." South Asian Journal of Business and Management Cases 9, no. 3 (November 25, 2020): 317–29. http://dx.doi.org/10.1177/2277977920958084.
Full textTakeichi, Naohiro, Takeshi Katagiri, Harumi Yoneda, Shusaku Inoue, and Yusuke Shintani. "Virtual Reality approaches for evacuation simulation of various disasters." Collective Dynamics 5 (August 12, 2020): A93. http://dx.doi.org/10.17815/cd.2020.93.
Full textZhang, Fushen, Shaobo Zhong, Simin Yao, Chaolin Wang, and Quanyi Huang. "Ontology-based representation of meteorological disaster system and its application in emergency management." Kybernetes 45, no. 5 (May 3, 2016): 798–814. http://dx.doi.org/10.1108/k-10-2014-0205.
Full textHastings, I. M., and U. D’Alessandro. "Modelling a Predictable Disaster:." Parasitology Today 16, no. 8 (August 2000): 340–47. http://dx.doi.org/10.1016/s0169-4758(00)01707-5.
Full textHassan, Mohamad Ghozali, Che AzlanTaib, Muslim Akanmu, and Afif Ahmarofi. "A Theoretical Review on the Preventive Measures to Landslide Disaster Occurrences in Penang State, Malaysia." Journal of Social Sciences Research, SPI6 (December 25, 2018): 753–59. http://dx.doi.org/10.32861/jssr.spi6.753.759.
Full textAjulo, Oluwadunsin, Ishmael Adams, Ali Asgary, Patrick Tang, and Jason Von-Meding. "Modelling the Roles of Community-Based Organisations in Post-Disaster Transformative Adaptation." GeoHazards 3, no. 2 (April 11, 2022): 178–98. http://dx.doi.org/10.3390/geohazards3020010.
Full textNukavarapu, Nivedita, and Surya Durbha. "STOCHASTIC COLOURED PETRINET BASED HEALTHCARE INFRASTRUCTURE INTERDEPENDENCY MODEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 223–29. http://dx.doi.org/10.5194/isprs-archives-xli-b8-223-2016.
Full textNukavarapu, Nivedita, and Surya Durbha. "STOCHASTIC COLOURED PETRINET BASED HEALTHCARE INFRASTRUCTURE INTERDEPENDENCY MODEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 223–29. http://dx.doi.org/10.5194/isprsarchives-xli-b8-223-2016.
Full textRezaldi, Muhammad Yudhi, RABIAH ABDUL KADIR, Mohamad Taha Ijab, and Apip Apip. "Aesthetics 3D Geovisualization For Flood Disaster Based on XYZ Coordinate." Journal of Applied Research and Technology 21, no. 4 (August 31, 2023): 688–706. http://dx.doi.org/10.22201/icat.24486736e.2023.21.4.1706.
Full textBeaulac, Leah, Breanne Langlois, Katherine Berry, and Elena Naumova. "Natural Disaster and Migration Trends in Flood Prone Agricultural Areas of Indonesia." Current Developments in Nutrition 6, Supplement_1 (June 2022): 72. http://dx.doi.org/10.1093/cdn/nzac050.002.
Full textDissertations / Theses on the topic "Disaster modelling"
COLOCCI, ALESSANDRA. "Modelling disaster risk reduction: decoding social-ecological interactions to foster transformative adaptation." Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/289629.
Full textThis research intends to contribute to the discussion on disaster risk reduction (DRR), investigating the question of how local communities should adjust to the surrounding threats. The first part adapted the panarchy heuristics to risk dynamics. The drawn theoretical model, the Social-Ecological Panarchy, could describe the conditions of risk and allow to recognise the two cores of DRR: disaster resilience and environmental sustainability. The model supported the development of a Combined Assessment of Resilience and Sustainability, focused on flood risk at the Municipal scale. The second part of the research performed a quantitative analysis through numerical indicators, that identified and characterised the levels of resilience and sustainability. The third part of the research employed qualitative tools (questionnaires) to gather the thoughts of local communities on the risks affecting their Municipalities. The analysis was applied to two case studies, Marche Region (Italy) and Hokkaidō (Japan). Results evidenced the role of flood events in determining the resilience capacities of local communities, and of the anthropic impacts for defining their sustainability. Most critical issues lied in the mountainous/hill areas. At the same time, social welfare and protection appeared pivotal in building local resilience, while the presence of vegetation shaped sustainability. Besides, a substantial mismatch emerged between assessed and perceived conditions of resilience and sustainability, generally in negative terms. Overall, it appeared that further efforts should be tailored to the innermost areas, though the overall region might benefit from consolidated resilience. At the same time, local populations seemed highly responsive to environmental issues, possibly endorsing the enhancement of sustainability. Eventually, these insights might inform risk reduction strategies, to foster a transformative adaptation of local communities, urged by exacerbating disruptive threats.
de, Ligt Vera. "Practical and conceptual issues in the use of agent-based modelling for disaster management." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11236/.
Full textFlores, Salas Alicia. "Evaluation of the use of lightweight concrete panels for post disaster house reconstruction using Building Information Modelling." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/evaluation-of-the-use-of-lightweight-concrete-panels-for-post-disaster-house-reconstruction-using-building-information-modelling(ce6ee2fc-2997-40ff-b489-f1fdf1a5dfb7).html.
Full textCardozo, Claudia Paola. "A spatially integrated modelling approach to landslide risk assessment: a case study of the Nova Friburgo disaster - RJ, Brazil." Instituto Nacional de Pesquisas Espaciais (INPE), 2018. http://urlib.net/sid.inpe.br/mtc-m21c/2018/03.12.14.01.
Full textOs deslizamentos de terra causam enormes prejuízos econômicos e mortes em todo o mundo. O Mega desastre 2011 na região montanhosa do Rio de Janeiro é considerado o pior desastre na história do Brasil. Tradicionalmente, o tópico de risco foi analisado a partir de uma perspectiva puramente baseada na engenharia que provou ter uma resposta ineficaz para enfrentar os desafios impostos por fatores físicos e sociais, especialmente em países de baixa renda. Esta tese apresenta um marco conceitual para uma avaliação integrada do risco e realiza a proposta de maneira prática no município de Nova Friburgo, como um estudo de caso. Na primeira parte desta pesquisa, uma avaliação do componente físico do risco foi abordada. Três cenários de suscetibilidade a escorregamentos foram realizados usando um DEM de 10m de resolução espacial, dados geotécnicos e um inventário de deslizamentos. Os resultados sugerem que o cenário que utilizou uma ampla gama de valores de coesão foi capaz de prever quase 70% dos deslizamentos de terra inventariados e cerca de 50% do território com áreas propensas a deslizamentos. Na segunda parte desta tese, se analisou o componente humano de risco. Uma avaliação de vulnerabilidade social - usando o método SoVI - e a coleta de dados desagregados por idade, sexo e raça/etnia dos óbitos provocados pelos deslizamentos de 2011 foram realizados. Os resultados revelam uma vulnerabilidade social diferenciada entre os setores censitários. A maioria deles foi classificada como moderadamente vulnerável. Embora as áreas altamente vulneráveis não sejam amplamente distribuídas no território, elas são importantes devido à sua localização e implicações para a matriz econômica do município. Em relação aos óbitos por deslizamentos de terra, foram registradas434 vítimas. A análise espacial indica que a maior mortalidade se localizou nas zonas do noroeste e centro do município. O desastre provocado pelos deslizamentos de terra afetou aos homens e mulheres de maneira diferente. Na maioria das faixas etárias, morreram mais homens e meninos do que mulheres e meninas. Cinquenta por cento daqueles que perderam suas vidas eram os mais jovens e os idosos. A população negra teve uma taxa de mortalidade ligeiramente maior do que os Pardos e brancos. Os dados não revelaram uma tendência discernível na associação entre vulnerabilidade social e óbitos. Parece que a magnitude dos deslizamentos foi tão grande que todos os habitantes de Nova Friburgo foram igualmente atingidos, além das desigualdades expressas por sua vulnerabilidade social. Na terceira parte desta investigação, determinou-se a probabilidade de risco de deslizamento, para isso a vulnerabilidade social e a susceptibilidade aos deslizamentos de terra foram combinados usando o Modelo Aditivo Generalizado (GAM). Os resultados sugerem que, em terrenos instáveis, basta um nível moderado de vulnerabilidade social para aumentar a probabilidade de risco de deslizamento. Os resultados também destacam a capacidade do modelo de descobrir padrões oculto no conjunto de dados, capturando um efeito não linear da variável vulnerabilidade social e um efeito linear da variável estabilidade do terreno. Em conclusão, o marco conceptual proposto é genérico e flexível pelo que pode ser aplicado a outras áreas, escalas de análise e tipos de perigos naturais, embora seja necessária alguma adaptação, dependendo dos dados disponíveis. Além disso, a abordagem integrada desta tese destaca que é viável e necessário vincular dados de diferentes domínios científicos para melhor compreender o risco de desastres, reduzir riscos e reduzir perdas de vidas humanas e ativos econômicos por meio de ações baseadas em conhecimento. Deve-se notar que esta pesquisa está em conformidade com as diretrizes dadas na primeira área prioritária para a ação do Marco de Sendai para a Redução de Riscos de Desastres 2015-2030, que descreve a importância de "Compreender o risco de desastres". Finalmente, o conhecimento resultante desta pesquisa fornece à comunidade, às organizações e ao governo de Nova Friburgo uma base para compreender o risco relacionado a um perigo natural específico: "os deslizamentos" que podem ser aproveitados para obter uma preparação melhor e respostas eficazes a desastres futuros e também para promover sociedades resilientes aos desastres.
Shobeiri, Nejad Seyed Abdelhamid. "Modelling the Economic Impact of Extreme Events on Critical Infrastructure Systems in Australian Industries – Case Study in Finance and Tourism." Thesis, Griffith University, 2014. http://hdl.handle.net/10072/367136.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith School of Environment
Science, Environment, Engineering and Technology
Full Text
Raillani, Hajar. "Disaster mοdelling and emergency facilities lοcatiοn under uncertainties : a case study οf the Μοrοccan relief supply chain." Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMIR10.
Full textDisaster modelling and facility location are critical aspects of disaster management that help to improve the effectiveness and efficiency of relief supply chains. However, the inherent uncertainties associated with disasters and relief supply chains can significantly impact the effectiveness of such models. To address this challenge, the thesis proposes the use of uncertainty quantification-based models and hidden Markov based models for disaster modelling in the context of the Moroccan relief supply chain. The thesis initiates by conceptualizing the Moroccan relief supply chain, comprehensively outlining its design, activities, and the various actors involved in the humanitarian process, then, a detailed analysis was conducted to highlight the strengths and weaknesses of the Moroccan relief supply chain. This involved a deep examination of uncertainty sources within the humanitarian process, to make a good understanding of challenges faced within the Moroccan relief supply chain and identify the specific requirements. Following this conceptual groundwork, the proposed models are then applied to a dedicated case study of the Moroccan relief supply chain. This practical application aims to validate the effectiveness of the uncertainty quantification-based models and hidden Markov-based models in a real-world scenario, providing valuable insights into their applicability, utility, and potential impact on the complex dynamics of the humanitarian field. The results demonstrate that the uncertainty quantification-based model and the hidden Markov based model can significantly improve the robustness and efficiency of the supply chain network in term of disaster prediction. The uncertainty quantification-based model enables to make prediction of the potential human impact of disasters and the most sensitive regions which can help in the evaluation of the robustness of the supply chain network under different scenarios, considering various sources of uncertainty, such as demand and uncertainties on documented data. On the other hand, the hidden Markov based model is used to predict the disaster behaviour in next occurrence, based on historical data and trends. This model provides important insights into the potential of HMMs in disaster management and humanitarian logistics and emphasize the importance of these models in protecting disasters impact, vulnerable populations and mitigating the effects of natural disasters in the future. The thesis aims also to identify the optimal facility locations and develop an efficient disaster response plan that can mitigate the impact of disasters, this stations will have for function the reception, control, support and the distribution of help in case of natural disasters (earthquakes, floods, torrential floods, locust invasions, drought, landslides ...) or man-made disasters (technological accidents, terrorist attacks, road accidents, pollution ...), through the integration of different actors in the Moroccan relief supply chain (Ministry of the Interior, Ministry of Planning of Moroccan Territories, the civil protection, military, NGOs ...) and by considering various sources of uncertainty, such as demand, transportation time, and supply disruptions. The optimal facility locations identified by the models provide a better coverage of the affected areas, thereby improving the speed and effectiveness of the disaster response plan. The thesis highlights the significance of incorporating uncertainty analysis in disaster modelling and provides insights into the relief supply chain management in Morocco. The findings of this thesis can be useful for policymakers and practitioners in disaster management to improve the effectiveness and efficiency of relief supply chains
Chen, Wanying. "Modelling the logisitcs response to disasters." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0046/document.
Full textThis thesis is devoted to optimize the health care logistics which can support emergency management plans to reduce the impacts of natural and/or man-made disasters. After the review of relevant papers, two main gaps have been found in the current studies. One is that most of the researches are not based on real cases. The other is that some main characteristics of disasters are neglected when disasters are studied. Therefore, based on real case scenarios, the thesis studies different disasters (natural and/or man-made disasters) separately according to the characteristics of disasters. Natural disasters may be predicted but are difficult to avoid. Therefore, the evacuation of potential victims and the dimensioning of relief resources are crucially important. A three-step approach is proposed to study the resource dimensioning and the organization of emergency management plan (French White Plan) facing natural disasters. In our three-step approach, the first step builds a framework model to get the insights of emergency management plan clearly. The second step establishes a global model (a linear model) to predict the quantity of required resources for evacuation. The third step proposes a detailed simulation model to reflect the real world more precisely. The hospital evacuation under the guidance of a French Extended White Plan in case of a flood has been taken as a real case scenario to test the correctness of our approach. The man-made disasters and the outbreak of diseases can be large-scale disasters which require a high demand of resources. In this thesis, a model for logistics response to bioterrorist attack with a non-contagious agent and another model for the logistics response to epidemics have been proposed. Multi-period and multi-echelon inventory management problems have been studied. The two models (a linear model and a non linear model respectively) combine the main characteristics of disasters: the propagation of the disease, the relevant medical interventions and the logistics deployment together. The number of patients in different disease stages and the required medical resources for each period can be estimated. The factors affecting the number of deaths and the different medical intervention policies can also be evaluated with the two models. With the help of the models, the decision makers can get an idea of the disaster situation and the relevant medical responses from a strategy level. A logistics response to an anonymous bioterrorist attack with anthrax to a shopping center and the logistics response to the outbreak of H5N1 are taken as real case scenarios to test the effectiveness of the models respectively
Chandratilake, (nee Weerasekara) Sonali Evanjali. "Spatial Modelling of Gastroenteritis Prevalence Following the February 22, 2011 Earthquake and Identification of Successful Factors Preventing Outbreaks at Emergency Centres." Thesis, University of Canterbury. Department of Geological Sciences, 2013. http://hdl.handle.net/10092/9185.
Full textDufresne, Anja. "Influence of runout path material on rock and debris avalanche mobility : field evidence and analogue modelling : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Geological Sciences/Hazard and Disaster Management, University of Canterbury, New Zealand /." Thesis, University of Canterbury. Geological Sciences, 2009. http://hdl.handle.net/10092/3076.
Full textHill, Rebecca Elizabeth Jane. "Diagnosing co-ordination problems by modelling the emergency management response to disasters." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1420898/.
Full textBooks on the topic "Disaster modelling"
Integrated Catastrophe Risk Modelling. Springer, 2012.
Find full textHillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley & Sons, Limited, John, 2017.
Find full textHillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley & Sons, Incorporated, John, 2017.
Find full textHillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley & Sons, Incorporated, John, 2017.
Find full textHillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley-Blackwell, 2017.
Find full textWang, Chisheng, Daqing Ge, Guohong Zhang, Wu Zhu, and Siting Xiong, eds. Monitoring and Modelling of Geological Disasters Based on InSAR Observations. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-6381-7.
Full textHuang, Faming, Jinsong Huang, Wei Chen, and Jinquan Liu, eds. Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-83250-177-1.
Full textAdhikari, Neill KJ. Critical Illness and Long-Term Outcomes Worldwide. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199653461.003.0002.
Full textBook chapters on the topic "Disaster modelling"
Stanković, Igor, Milan Žeželj, Jelena Smiljanić, and Aleksandar Belić. "Modelling of Disaster Spreading Dynamics." In High-Performance Computing Infrastructure for South East Europe's Research Communities, 31–42. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01520-0_4.
Full textZwęgliński, Tomasz, Cor-Jan Vermeulen, Marcin Smolarkiewicz, Anna Foks-Ryznar, Karolina Bralewska, and Bernard Wiśniewski. "Dynamic Flood Modelling in Disaster Response." In Innovation in Crisis Management, 173–97. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003256977-14.
Full textLohani, A. K., Sanjay K. Jain, and R. K. Jaiswal. "Glacial Lake Outburst Flood Modelling." In 5th World Congress on Disaster Management, 413–19. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003341932-41.
Full textMorlok, Jürgen, and Jan Siegmund. "The Ecological Disaster of Bitterfeld and Chicken Games." In Mathematical Modelling in Economics, 458–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78508-5_44.
Full textSeminara, Giuseppe, and Daniele Fontanelli. "First Responders Robotic Network for Disaster Management." In Modelling and Simulation for Autonomous Systems, 350–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76072-8_25.
Full textWindirsch, Melanie. "Empirical Modelling of Man-made Disaster Scenarios." In Palgrave Studies in Sustainable Business In Association with Future Earth, 329–63. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38858-4_15.
Full textMalakar, Sukanta, Abhishek K. Rai, Mohd Sayeed Ul Hasan, and Vijay K. Kannaujiya. "Geospatial Modelling of Seismic Vulnerability Using Entropy-AHP: A Case Study of the Himalayas." In Disaster Risk Reduction, 27–46. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65862-4_3.
Full textCuomo, Sabatino, Angela Di Perna, and Mario Martinelli. "MPM Modelling of Buildings Impacted by Landslides." In Understanding and Reducing Landslide Disaster Risk, 245–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60319-9_28.
Full textPeña, Neiler de Jesús Medina. "Multi-Hazard Modelling." In Adaptive Disaster Risk Assessment Combining Multi-Hazards With Socioeconomic Vulnerability and Dynamic Exposure, 77–90. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003220749-4.
Full textBiradar, Girish, and Swati Bhave. "Flood Modelling of Krishna River at Sangli Using HEC-RAS." In Disaster Resilience and Green Growth, 355–62. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7100-6_19.
Full textConference papers on the topic "Disaster modelling"
ŠTEINBERGA, IVETA, IVARS KUDREŅICKIS, and RAIMONDS ERNŠTEINS. "COASTAL SOCIO-ECOLOGICAL SYSTEM ASSESSMENT IN MUNICIPALITIES: SYSTEM DYNAMICS MODELLING APPLICATION IN LATVIA." In DISASTER MANAGEMENT 2021. Southampton UK: WIT Press, 2021. http://dx.doi.org/10.2495/dman210071.
Full textAschenbruck, Nils, Elmar Gerhards-Padilla, Michael Gerharz, Matthias Frank, and Peter Martini. "Modelling mobility in disaster area scenarios." In the 10th ACM Symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1298126.1298131.
Full textAl-Essa, Hadeel A., and Abdulrahman A. Abdulbaki. "Disaster Recovery Datacenter’s Architecture on Network Replication Solution." In 2016 European Modelling Symposium (EMS). IEEE, 2016. http://dx.doi.org/10.1109/ems.2016.038.
Full textAschenbruck, Nils, Michael Gerharz, Matthias Frank, and Peter Martini. "Modelling Voice Communication in Disaster Area Scenarios." In 2006 31st IEEE Conference on Local Computer Networks. IEEE, 2006. http://dx.doi.org/10.1109/lcn.2006.322102.
Full textMalkina-Pykh, I. G. "Evaluating psychological preparedness for the threat and impacts of climate change disasters and its change after intervention: an integrated modelling approach." In DISASTER MANAGEMENT 2015, edited by Y. A. Pykh. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/dman150231.
Full text"Cascading events simulation for disaster-sensitive metropolitan areas: Resilience enhancement with visualization of consequences of large-scale disasters." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.watanabe.
Full textGuillaume, Eric, Virginie Dréan, Bertrand Girardin, and Talal Fateh. "Modelling Grenfell disaster: interactions between facades and apartments." In 11th International Conference on Structures in Fire (SiF2020). Brisbane, Australia: The University of Queensland, 2020. http://dx.doi.org/10.14264/929e2f2.
Full textBarbierato, Enrico, Mauro Iacono, Marco Gribaudo, and Michele Mastroianni. "Cost- And Performance-Based Evaluation Of Cloud-Based Disaster Recovery." In 37th ECMS International Conference on Modelling and Simulation. ECMS, 2023. http://dx.doi.org/10.7148/2023-0568.
Full textKantorovitch, Julia, Aggeliki Giakoumaki, Antonis Korakis, Homer Papadopoulos, Georgios Milis, Panayiotis Kolios, and Toni Staykova. "Knowledge modelling framework." In 2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). IEEE, 2015. http://dx.doi.org/10.1109/ict-dm.2015.7402037.
Full textJangid, Nitesh, and Bindu Sharma. "Cloud Computing and Robotics for Disaster Management." In 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2016. http://dx.doi.org/10.1109/isms.2016.45.
Full textReports on the topic "Disaster modelling"
Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, Saut Sagala, Teresa Arce Mojica, Preeti Koirala, Patrick Sanady, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, March 2022. http://dx.doi.org/10.53324/wnsg2302.
Full textHobbs, T. E., J. M. Journeay, A. S. Rao, L. Martins, P. LeSueur, M. Kolaj, M. Simionato, et al. Scientific basis of Canada's first public national seismic risk model. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330927.
Full textKim, Kyungmee, and Boulanin Vincent. Artificial Intelligence for Climate Security: Possibilities and Challenges. Stockholm International Peace Research Institute, December 2023. http://dx.doi.org/10.55163/qdse8934.
Full textRahman, Kazi, Grace Lee, Kristina Vine, Amba-Rose Atkinson, Michael Tong, and Veronica Matthews. Impacts of climate change on health and health services in northern New South Wales: an Evidence Check rapid review. The Sax Institute, December 2022. http://dx.doi.org/10.57022/xlsj7564.
Full textPublic investment profile for climate risk reduction in Barbados: a macroeconomic cost-benefit analysis for reducing the socio-economic risk of coastal erosion. Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003915.
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