Bibliografie tematiche / Disaster modelling

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Letteratura scientifica selezionata sul tema "Disaster modelling"

Autore: Grafiati
Pubblicato: 7 settembre 2024
Ultima modifica: 31 luglio 2025

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Articoli di riviste sul tema "Disaster modelling"

1

Mishra, Vinaytosh, and Mohita G. Sharma. "Understanding Humanitarian Supply Chain Through Causal Modelling." South Asian Journal of Business and Management Cases 9, no. 3 (2020): 317–29. http://dx.doi.org/10.1177/2277977920958084.

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Research Questions: Does being in the social welfare slow-onset disaster quadrant help in garnering resources during the sudden disaster? Theory: Humanitarian supply chain has been traditionally explained as a system involved in mobilizing people, resources, skills and knowledge for disaster relief operations. The established classification of disasters includes natural and man-made disasters. These are further classified into sudden- and slow-onset disasters. Social welfare supply chains happen to be a distinctive type of humanitarian supply chain working in slow-onset disasters such as pover
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Takeichi, 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.

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This paper presents a virtual reality (VR) system of evacuation in the cases of various disasters. We considered a combination of disasters under realistic scenarios. Disaster simulations by numerical models were imported into the VR system to express a realistic situation. Not only disaster experts but also designers and non-professionals are able to share realistic experiences for escape from the disasters. This system is useful for performance-based design, planning of escape, disaster prevention, evacuation drill etc. The VR system consists of Building Information Modelling, physical simul
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Zhang, 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 (2016): 798–814. http://dx.doi.org/10.1108/k-10-2014-0205.

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Purpose – The purpose of this paper is to make research on causing mechanism of meteorological disaster as well as the components of meteorological disaster system and their semantic relationships. It has important practical significance due to the urgent need of further providing support for pre-assessment of influences of disastrous weather/climate events and promoting the level of emergency management. Design/methodology/approach – This paper analyses the occurrence regulations and components of meteorological disasters and proposes the concept of meta-action. Ontology modelling method is a
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Hastings, I. M., and U. D’Alessandro. "Modelling a Predictable Disaster:." Parasitology Today 16, no. 8 (2000): 340–47. http://dx.doi.org/10.1016/s0169-4758(00)01707-5.

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Hassan, 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.

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Based on the frequently unanticipated occurrences of natural landslide disaster across Malaysia, it can be seen that Malaysia is still not fully prepared for occurrences of natural landslide disaster. The lack of predictive and warning systems for the disaster in the country is creating panic and apprehension among citizens alongside with both economic and property losses. The general objectives of this research are: to identify the meteorological factors that cause landslide natural disaster occurrences in Malaysia and to suggest a predictive model for landslide disaster occurrence in Malaysi
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Ajulo, 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 (2022): 178–98. http://dx.doi.org/10.3390/geohazards3020010.

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Disasters result where hazards and vulnerabilities intersect. The concept of vulnerability itself is mainly a social construct and the extent to which this can be overcome while transforming disaster-prone systems has often been emphasised in the critical hazard literature. However, the extent to which community-based organisations contribute to post-disaster transformation at the community level remains unexamined. This paper is aimed at examining the extent of the role of community-based organisations (CBOs) in the transformative adaptation of post-earthquake Lyttelton. Quantitative data was
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Rezaldi, 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 (2023): 688–706. http://dx.doi.org/10.22201/icat.24486736e.2023.21.4.1706.

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Geovisualization can convert spatial and non-spatial data into an accurate visualization of flood modelling but less realistic. Contrarily, Multimedia can produce realistic visualizations by applying aesthetic parameters, but not based on data, inaccurate. This research successfully combined both Geovisualization and Multimedia that created an accurate and realistic visualization of flood modelling. An experimental methodology was used for the flood transformation data through geovisualization technique and carried out the 3D mapping objects through photogrammetry by using drones. Both modelli
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Nukavarapu, 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.

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The Healthcare Critical Infrastructure (HCI) protects all sectors of the society from hazards such as terrorism, infectious disease outbreaks, and natural disasters. HCI plays a significant role in response and recovery across all other sectors in the event of a natural or manmade disaster. However, for its continuity of operations and service delivery HCI is dependent on other interdependent Critical Infrastructures (CI) such as Communications, Electric Supply, Emergency Services, Transportation Systems, and Water Supply System. During a mass casualty due to disasters such as floods, a major
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Nukavarapu, 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.

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The Healthcare Critical Infrastructure (HCI) protects all sectors of the society from hazards such as terrorism, infectious disease outbreaks, and natural disasters. HCI plays a significant role in response and recovery across all other sectors in the event of a natural or manmade disaster. However, for its continuity of operations and service delivery HCI is dependent on other interdependent Critical Infrastructures (CI) such as Communications, Electric Supply, Emergency Services, Transportation Systems, and Water Supply System. During a mass casualty due to disasters such as floods, a major
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Beaulac, 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 (2022): 72. http://dx.doi.org/10.1093/cdn/nzac050.002.

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Abstract Objectives Sudden onset severe natural disasters are more closely associated with climate related migration than slower onset disasters in Indonesia. This analysis examines whether severe flooding was related to migration in the five years prior to the 5th wave of the Indonesian Family Life Survey (IFLS), and whether there were differences between agricultural versus non-agricultural households. Methods We present descriptive statistics of the subset of the population that reported having experienced natural disaster (3,183 (19%) households) in wave five of IFLS. Analysis is ongoing a
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Tesi sul tema "Disaster modelling"

1

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.

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Questa ricerca intende contribuire alla discussione sulla riduzione del rischio disastri (DRR), esplorando come le comunità locali dovrebbero adattarsi ai pericoli che le circondano. La prima parte riporta la teoria della panarchia alle dinamiche del rischio. Il modello teorico che ne deriva, la Panarchia Sociale-Ecologica, descrive le condizioni di rischio e permette di riconoscere i nuclei del DRR: la resilienza ai disastri e la sostenibilità ambientale. Il modello fornisce le basi per lo sviluppo di una Valutazione Combinata di Resilienza e Sostenibilità, concentrata sul rischio inondazi
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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/.

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Application of agent-based modelling technology (ABM) to disaster management has to date been limited in nature. Existing research has concentrated on extending the model structures and agent architectures of complex algorithms to test robustness and extensibility of this simulation approach. Less attention has been brought to bear on testing the current state-of-the-art in ABM for modelling real-life systems. This thesis aims to take first steps in remedying this gap. It focuses on identifying the practical and conceptual issues which preclude wider utilisation of ABM in disaster management.
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Flores, 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.

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A large number of natural disasters affects hundreds of thousands of people each year in their housing around the world. Therefore, there is a call to find more appropriate strategies for housing reconstruction following a disaster. This study aims to reduce the construction time and cost of housing affected by such disasters. The academic literature on the 3 Dimensional Lightweight Panels construction system (3D-LPs), Building Information Modelling system (BIM) and experiences gained in post-disaster housing reconstruction strengthens the argument that here is an opportunity to contribute to
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Cardozo, 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.

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Landslides cause enormous economic damage and fatalities worldwide. The 2011 Mega disaster in the Rio de Janeiro mountainous region is considered the worst landslide disaster in Brazilian history. Traditionally, risk topic has been analyzed from a purely engineering-based perspective, which has proved to have an ineffective response to face the challenges posed by physical and social factors, especially in low-income countries. This thesis introduces a conceptual framework for an integrated risk assessment and undertakes the proposal in a practical way in the Nova Friburgo municipality, as a c
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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.

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Economic and social stability across the world is tightly dependent on a sufficient and reliable flow of goods and services, based on the balance between supply and demand. The basis for the balance between supply and demand is a set of physical assets, processes and organisations that are collectively known as critical infrastructure systems (CIs). CIs are strongly interdependent in two complex ways: namely, physical and informational. Identification of CI interdependencies and interconnections is essential for the study of such supply and demand systems. Importantly, C
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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.

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La modélisation des catastrophes et la localisation des installations sont des aspects essentiels de la gestion des catastrophes qui contribuent à améliorer l’efficacité et l’efficience des chaînes d’approvisionnement des secours. Cependant, les incertitudes inhérentes aux catastrophes et aux chaînes d’approvisionnement des secours peuvent avoir un impact significatif sur l’efficacité de ces modèles. Pour relever ce défi, la thèse propose l'utilisation de modèles basés sur la quantification de l'incertitude et de modèles basés sur Markov caché pour la modélisation des catastrophes dans le cont
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Nimlang, Nanlok Henry. "Modélisation et prévision du risque de maladie à l'aide de la télédétection et du SIG : Application aux cas de paludisme au Nigeria." Electronic Thesis or Diss., IMT Mines Alès, 2024. http://www.theses.fr/2024EMAL0004.

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Tout au long de la thèse, les objectifs de recherche, les buts et les questions de recherche énoncés sont suivis d'analyses détaillées, de processus et de méthodes utilisés pour les atteindre. Ceci se matérialise par des contributions visant à répondre aux questions de recherche en fonction de leurs méthodes et résultats respectifs. Dans ce mémoire, les contributions présentées sont principalement classées en deux domaines principaux : l'identification des paramètres des facteurs de risque spatiaux (écologiques, météorologiques, socio-économiques et épidémiologiques) et l'analyse. L'analyse gé
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Chen, Wanying. "Modelling the logisitcs response to disasters." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0046/document.

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Cette thèse est consacrée à l'optimisation de la logistique sanitaire pour soutenir les plans de gestion de crise afin de réduire les effets des catastrophes naturelles et/ou humaines en termes de santé publique. Les catastrophes naturelles peuvent être prédites, mais elles sont difficiles à éviter. Par conséquence, la prise en charge des victimes potentielles et le dimensionnement des moyens logistiques de secours y afférent sont d'une importance cruciale. Une approche analytique en trois étapes est proposée afin d'étudier le dimensionnement des ressources et l'organisation des plans de gesti
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Amakama, Nimisingha Jacob. "Conception et mise en œuvre d'une solution interopérable d'un hôpital de campagne mobile dédié à l'industrie pétrolière et gazière." Electronic Thesis or Diss., IMT Mines Alès, 2024. http://www.theses.fr/2024EMAL0003.

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Cette étude examine l'application de techniques computationnelles et d'un jeu de rôle de réponse aux catastrophes pour évaluer la faisabilité de développer un modèle de simulation reproductible et adaptable pour la réponse aux catastrophes et la prise de décision en situation de crise dans le domaine de la santé. Une approche de gestion de crise est utilisée pour déployer des ressources et évacuer les victimes d'un site de catastrophe hypothétique suite à un début soudain de catastrophe. Cette approche nécessite la présence d'agents divers et leur capacité à coordonner et allouer efficacement
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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.

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The potential for a gastroenteritis outbreak in a post-earthquake environment may increase because of compromised infrastructure services, contaminated liquefaction (lateral spreading and surface ejecta), and the presence of gastroenteritis agents in the drinking water network. A population in a post-earthquake environment might be seriously affected by gastroenteritis because it has a short incubation period (about 10 hours). The potential for a gastroenteritis outbreak in a post-earthquake environment may increase because of compromised infrastructure services, contaminated liquefaction (la
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Libri sul tema "Disaster modelling"

1

Integrated Catastrophe Risk Modelling. Springer, 2012.

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Hillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley & Sons, Limited, John, 2017.

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Hillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley & Sons, Incorporated, John, 2017.

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Hillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley & Sons, Incorporated, John, 2017.

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Hillier, John, Matthew Jones, Kirsten Mitchell-Wallace, and Matthew Foote. Natural Catastrophe Risk Management and Modelling: A Practitioner's Guide. Wiley-Blackwell, 2017.

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Wang, 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.

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Huang, 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.

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Adhikari, Neill KJ. Critical Illness and Long-Term Outcomes Worldwide. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199653461.003.0002.

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Interest in the global burden of critical illness and its sequelae are growing, but comprehensive data to describe the burden of acute and post-acute illness and the resources available to provide care are lacking. Challenges to obtaining population-based global estimates of critical illness include the syndrome-based definitions of critical illness, incorrect equating of ‘critical illness’ with ‘admission to an intensive care unit’, lack of reliable case ascertainment in administrative data, and short prodrome and high mortality of critical illness, limiting the number of prevalent cases. Est
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Capitoli di libri sul tema "Disaster modelling"

1

Pathak, Alisha. "Disaster Management in India: An Assessment Study for Disaster Communication." In GIScience and Geo-environmental Modelling. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77189-7_6.

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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. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01520-0_4.

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Zwęgliński, 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. Routledge, 2022. http://dx.doi.org/10.4324/9781003256977-14.

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Lohani, A. K., Sanjay K. Jain, and R. K. Jaiswal. "Glacial Lake Outburst Flood Modelling." In 5th World Congress on Disaster Management. Routledge, 2022. http://dx.doi.org/10.4324/9781003341932-41.

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Morlok, Jürgen, and Jan Siegmund. "The Ecological Disaster of Bitterfeld and Chicken Games." In Mathematical Modelling in Economics. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78508-5_44.

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Seminara, Giuseppe, and Daniele Fontanelli. "First Responders Robotic Network for Disaster Management." In Modelling and Simulation for Autonomous Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76072-8_25.

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Windirsch, Melanie. "Empirical Modelling of Man-made Disaster Scenarios." In Palgrave Studies in Sustainable Business In Association with Future Earth. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38858-4_15.

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Malakar, 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. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65862-4_3.

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Cuomo, Sabatino, Angela Di Perna, and Mario Martinelli. "MPM Modelling of Buildings Impacted by Landslides." In Understanding and Reducing Landslide Disaster Risk. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60319-9_28.

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Peña, Neiler de Jesús Medina. "Multi-Hazard Modelling." In Adaptive Disaster Risk Assessment Combining Multi-Hazards With Socioeconomic Vulnerability and Dynamic Exposure. CRC Press, 2021. http://dx.doi.org/10.1201/9781003220749-4.

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Atti di convegni sul tema "Disaster modelling"

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Banescu, Alexandru, Simionov Matei, Oliver Livanov, Paula Pindic, and Dragos Balaican. "EVALUATING FLOOD RISKS AND VULNERABILITIES IN CARAORMAN, DANUBE DELTA: INSIGHTS FROM HYDRAULIC MODELLING." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s01.08.

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Rural areas and infrastructure in the Danube Delta are affected by natural disasters, and the frequency and severity of hydrological phenomena are increasing due to climate change. The rural areas of the Danube Delta experience significant flooding due to the high levels of the Danube, often resulting from quantitatively significant precipitation. The protection dyke system related to the Danube River is most often affected by floods that sometimes lead to the failure of the dykes. Dyke failure is noted by the appearance of one or more breaches in the body of the dyke that may extend along the
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ŠTEINBERGA, IVETA, IVARS KUDREŅICKIS, and RAIMONDS ERNŠTEINS. "COASTAL SOCIO-ECOLOGICAL SYSTEM ASSESSMENT IN MUNICIPALITIES: SYSTEM DYNAMICS MODELLING APPLICATION IN LATVIA." In DISASTER MANAGEMENT 2021. WIT Press, 2021. http://dx.doi.org/10.2495/dman210071.

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Aschenbruck, Nils, Elmar Gerhards-Padilla, Michael Gerharz, Matthias Frank, and Peter Martini. "Modelling mobility in disaster area scenarios." In the 10th ACM Symposium. ACM Press, 2007. http://dx.doi.org/10.1145/1298126.1298131.

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Al-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.

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Aschenbruck, 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.

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Malkina-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. WIT Press, 2015. http://dx.doi.org/10.2495/dman150231.

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"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.

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Guillaume, 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). The University of Queensland, 2020. http://dx.doi.org/10.14264/929e2f2.

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Barbierato, 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.

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Cloud platforms offer not only the capacity to facilitate effective and scalable services for third-party applications and business solutions, but also present an opportunity to implement intricate disaster recovery strategies. For instance, a Chief Technical Officer may opt to maintain operations on private systems in order to effectively manage costs, privacy, and security, while simultaneously leveraging the cloud as an autonomous and immediate disaster recovery support. This can be achieved by building a secondary leg of the IT system that functions as an online cold or hot spare, manages
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Kantorovitch, Julia, Aggeliki Giakoumaki, Antonis Korakis, et al. "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.

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Rapporti di organizzazioni sul tema "Disaster modelling"

1

Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, 2022. http://dx.doi.org/10.53324/wnsg2302.

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Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its d
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Wahid, Shahriar, Susan Cuddy, Aditya Bastola, Arun Shrestha, and Auro Almeida. Gender equality, disability and social inclusion in water modelling: A practitioners’ toolkit. International Centre for Integrated Mountain Development (ICIMOD), 2024. https://doi.org/10.53055/icimod.1070.

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The toolkit consists of two modules that guide modeling practices or training delivery, including recommendations for training format, duration, and breaks. It is organized to support typical water modeling processes and includes practical guides, tips for further learning, examples, and practice exercises for individuals or groups to achieve GEDSI in water modeling. The toolkit aims to help users: Understand the benefits of incorporating Gender Equality, Disability, and Social Inclusion (GEDSI) into water modelling, recognizing its value in addressing complex water management challenges. Comp
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Hobbs, T. E., J. M. Journeay, A. S. Rao, 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.

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Natural Resources Canada, in partnership with the Global Earthquake Model Foundation, has prepared a public Canadian Seismic Risk Model to support disaster risk reduction efforts across industry and all levels of government, and to aid in Canada's adoption of the Sendai Framework for Disaster Risk Reduction. Developing this model has involved the creation of a national exposure inventory, Canadian specific fragility and vulnerability curves, and adjustment of the Canadian Seismic Hazard Model which forms the basis for the seismic provisions of the National Building Code of Canada. Using the Gl
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Kim, Kyungmee, and Boulanin Vincent. Artificial Intelligence for Climate Security: Possibilities and Challenges. Stockholm International Peace Research Institute, 2023. http://dx.doi.org/10.55163/qdse8934.

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Recent advances in artificial intelligence (AI)—largely based on machine learning—offer possibilities for addressing climate-related security risks. AI can, for example, make disaster early-warning systems and long-term climate hazard modelling more efficient, reducing the risk that the impacts of climate change will lead to insecurity and conflict. This SIPRI Policy Report outlines the opportunities that AI presents for managing climate-related security risks. It gives examples of the use of AI in the field and delves into the problems—notably methodological and ethical—associated with the us
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Rahman, 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, 2022. http://dx.doi.org/10.57022/xlsj7564.

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This rapid review investigated the effects of climate change on health and health services in northern NSW—a known ‘hotspot’ for natural disasters—over the next 10-20 years. It included 92 peer-reviewed articles and 9 grey literature documents, with 17% focused on Northern NSW. Climate change will cause both an increase in average temperatures and in extreme weather events and natural disasters. Impacts particularly affecting Northern NSW are expected to include increases and exacerbations of: mental illness; infectious diseases, including those transmitted by mosquitoes, water and food; heat-
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Kim, Sour, Phalla Chem, Sovannarith So, Sean Somatra Kim, and Sokhem Pech. Methods and Tools Applied for Climate Change Vulnerability and Adaptation Assessment in Cambodia’s Tonle Sap Basin. Cambodia Development Resource Institute, 2014. https://doi.org/10.64202/wp.97.201407.

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Cambodia is highly susceptible to natural disasters due to the frequency and intensity of extreme climatic events, primarily floods, droughts and windstorms, but also in particular to increased climate variability.These disasters and climate-related hazardshave exacted huge socioeconomic costs on the country’s economy and people’s livelihoods, especially in the last decade. It isimportant, therefore, to understand not only the level of impactbut also the vulnerability and the capacity of people to adapt to these hazards. This emphasises the needfor vulnerability and adaptation assessmentsthat
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Public 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, 2021. http://dx.doi.org/10.18235/0003915.

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The “Study on Disaster Risk Management A macroeconomic cost-benefit analysis for reducing the socio-economic risk of coastal erosion”, a dynamic modelling approach was developed to quantify the macroeconomic costs and benefits of investment in disaster risk reduction. The goal of the developed tool was multifaceted, with emphasis on assessing mixes of disaster risk reduction and financial protection instruments, and with a focus on addressing shortfalls in current disaster risk modelling methods. This work serves as the final report of the project and presents the results of an application of
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Points of no return - Estimating governments' fiscal resilience to internal displacement. Internal Displacement Monitoring Center (IDMC), 2019. http://dx.doi.org/10.55363/idmc.ryze8403.

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This paper, part of IDMC's thematic series "The ripple effect: Economic impacts of internal displacement", estimates the fiscal gap that governments of countries affected by internal displacement may face because of future displacement crises. In 2018, IDMC partnered with the International Institute for Applied Systems Analysis (IIASA) to produce the first assessments of the economic impacts of internal displacement. The methodology used for this new paper build upon IIASA's previous work on Catastrophe Simulation modelling and on IDMC's estimates of the economic impacts of internal displaceme
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