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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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Dufresne, 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.

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Rock and debris avalanches result from sudden rock slope failure; they occur in a variety of materials and landscapes, and often have a catastrophic and lasting impact on the society, infrastructure, and landscape of the area. In order to fully understand these events, the factors leading to failure and those influencing the course of the event must be investigated. In recent years, increased attention has been given to numerous aspects of rock/debris avalanche emplacement: among these is the influence of runout path material on the behaviour of snow and ice avalanches, pyroclastic currents, d
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12

Hill, 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/.

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In the United Kingdom, there is a system for the co-ordination of the emergency services in response to disasters - The Emergency Management Combined Response System (EMCRS). It is a complex three tier command and control system. It was set up in response to a need for better co­ordination between agencies, when they respond to disasters. This research has developed models of the EMCRS that support diagnosis of co-ordination problems between agencies. Data for the modelling was acquired by means of training exercises. The co-ordination pro blems were identified through behaviour conflicts betw
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13

Bertin, Camilla <1996&gt. "I Disastri Naturali nella Destinazione: Analisi e Implementazione dei Modelli di Disaster Management in uno Studio Empirico Il Caso dei Terremoti del 2016-2017 nelle Località Turistiche dell'Umbria." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17748.

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A discapito della propria rilevanza economica, culturale e sociale, il turismo rappresenta un fenomeno particolarmente esposto e fragile rispetto alle questioni della sicurezza: gli shock esterni costituiscono un deterrente all'attrazione dei turisti e un ostacolo per lo sviluppo sostenibile della destinazione. In particolare, di fronte alla crescente intensità e frequenza con cui i disastri naturali colpiscono le destinazioni in tutto il mondo, esacerbati da processi quali l'urbanizzazione, i cambiamenti climatici e lo sviluppo economico, il crisis e disaster management emerge come un'assolut
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14

Juhel, Samuel. "Uncertainties in modelling the propagation of indirect climate change costs via supply chains." Electronic Thesis or Diss., Université Paris sciences et lettres, 2025. http://www.theses.fr/2025UPSLE002.

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Cette thèse examine l'évaluation des impacts économiques indirects des catastrophes naturelles, en mettant l'accent sur les incertitudes liées à la modélisation. L'évaluation des coûts indirects est essentielle pour concevoir des politiques efficaces de gestion des risques. Cependant, les complexités des systèmes économiques et la dépendance aux hypothèses de modélisation nécessitent d'évaluer les incertitudes associées. La thèse propose une analyse détaillée du modèle Adaptive Regional Input-Output (ARIO), explorant les mécanismes clés des impacts économiques indirects et évaluant la fiabilit
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15

NOTARANGELO, NICLA MARIA. "A Deep Learning approach for monitoring severe rainfall in urban catchments using consumer cameras. Models development and deployment on a case study in Matera (Italy) Un approccio basato sul Deep Learning per monitorare le piogge intense nei bacini urbani utilizzando fotocamere generiche. Sviluppo e implementazione di modelli su un caso di studio a Matera (Italia)." Doctoral thesis, Università degli studi della Basilicata, 2021. http://hdl.handle.net/11563/147016.

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In the last 50 years, flooding has figured as the most frequent and widespread natural disaster globally. Extreme precipitation events stemming from climate change could alter the hydro-geological regime resulting in increased flood risk. Near real-time precipitation monitoring at local scale is essential for flood risk mitigation in urban and suburban areas, due to their high vulnerability. Presently, most of the rainfall data is obtained from ground‐based measurements or remote sensing that provide limited information in terms of temporal or spatial resolution. Other problems may be due to t
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(6630590), Nulee Jeong. "DISASTER RELIEF SUPPLY MODEL FOR LOGISTIC SURVIVABILITY." Thesis, 2019.

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Disasters especially from natural phenomena are inevitable. The affected areas recover from the aftermath of a natural disaster with the support from various agents participating in humanitarian operations. There are several domains of the operation, and distributing relief aids is one. For distribution, satisfying the demand for relief aid is important since the condition of the environment is unfavorable to affected people and resources needed for the victim’s life are scarce. However, it becomes problematic when the logistic agents believed to be work properly fail to deliver the emergency
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Lakshay. "Efficient evacuation planning for emergency response." Thesis, 2018. http://localhost:8080/iit/handle/2074/7750.

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Riddell, Graeme Angus. "Foresight for risk – using scenarios for strategic risk assessment and management of emergent disaster risk." Thesis, 2019. http://hdl.handle.net/2440/122575.

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Disaster impacts around the world are increasing with 2011 and 2017 the largest on record in terms of total losses from disasters in recorded history (USD 444billion and USD 341billion, respectively). The reasons for the increase in losses are multiple. Climate change is increasing the likelihood and intensity of several natural hazard types, and as the world’s population and economy grow, and humans increasingly develop in areas exposed to natural hazard (e.g. along rivers, and coastal areas), the values exposed are also rapidly increasing. These multiple factors contribute to the complex nat
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Fry, John, and J. M. Binner. "Elementary modelling and behavioural analysis for emergency evacuations using social media." 2015. http://hdl.handle.net/10454/17569.

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Yes<br>Social media usage in evacuations and emergency management represents a rapidly expanding field of study. Our paper thus provides quantitative insight into a serious practical problem. Within this context a behavioural approach is key. We discuss when facilitators should consider model-based interventions amid further implications for disaster communication and emergency management. We model the behaviour of individual people by deriving optimal contrarian strategies. We formulate a Bayesian algorithm which enables the optimal evacuation to be conducted sequentially under worsening cond
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Baraka, Jean-Claude Munyaka. "Modelling systems for an effective humanitarian supply chain for disaster relief operations in the SADC region." Thesis, 2014. http://hdl.handle.net/10321/1696.

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Submitted in fulfillment of the requirements of the degree of Master of Technology: Industrial Engineering, Durban University of Technology, Durban, South Africa, 2014.<br>The SADC region has seen both man-made and natural disasters killing over 90 thousand people and affecting millions in the past 33 years. Most of these deaths were as a result of lack of infrastructure and preparedness. Looking at the challenges for providing relief to victims/evacuees throughout the entire disaster and post-disaster periods in the region, the emphasis of this thesis is on last mile transportation
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XU, YUE. "A Study on Modelling Spatial-Temporal Human Mobility Patterns for Improving Personalized Weather Warning." 2018. https://scholarworks.umass.edu/masters_theses_2/677.

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Understanding human mobility patterns is important for severe weather warning since these patterns can help identify where people are in time and in space when flash floods, tornados, high winds and hurricanes are occurring or are predicted to occur. A GIS (Geographic Information Science) data model was proposed to describe the spatial-temporal human activity. Based on this model, a metric was designed to represent the spatial-temporal activity intensity of human mobility, and an index was generated to quantitatively describe the change in human activities. By analyzing high-resolution human m
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Kraus, Michal. "Modelling of ecological disasters: fire occurrences in the area of Vysoké Tatry after calamity incidents." Master's thesis, 2008. http://www.nusl.cz/ntk/nusl-272677.

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