Relevant bibliographies by topics / Natural disasters

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Natural disasters'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 April 2025

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Journal articles on the topic "Natural disasters"

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Nia, S. P. S., U. Kulatunga, C. Udeaja, and S. Valadi. "IMPLEMENTING GIS TO IMPROVE HOSPITAL EFFICIENCY IN NATURAL DISASTERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 369–73. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-369-2018.

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<p><strong>Abstract.</strong> Over the past decades, the number of natural disasters has been growing around the world. In addition to damaging communities and infrastructures, unexpected disasters also affect service providers such as hospitals and health centers. Markedly, hospital safety from disasters is a challenge in all countries. With disaster damage to health systems resulting in human tragedy, huge economic losses, devastating blows to developmental goals, and shaken social confidence. Ensuring that hospitals and health facilities are safe and secure from disasters depend on implementing an appropriate method to mitigate adverse impacts on hospitals during incidents. Thus, disaster management becomes even more significant, as the health sector has been particularly vulnerable to damages.<br> So, it is crucial to develop appropriate mitigation and adoption method for healthcare facilities, to withstand the natural disasters such as earthquakes and floods. A comprehensive disaster plan is required to ensure a prompt disaster response and coordinated management of a multi causality incident. The aim of this research is to systemically and critically review the importance of hospitals in disaster events and this research attempts to reach a basic understanding to mitigate the risk of disasters in hospitals and improve the continuity of health services during or after disaster events. For this study, secondary information was retrieved from the literature review and document review on sudden-onset natural disasters in different parts of the world was collected. This study found some challenges and deliverables for disaster managers that could mitigate the risk of a natural disaster’s impact on a hospital. Accordingly, this research will evaluate the importance of disaster management for hospitals and the challenges that need to be considered during the disaster response.</p>
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Caldera, H. Jithamala, and S. C. Wirasinghe. "A universal severity classification for natural disasters." Natural Hazards 111, no. 2 (November 30, 2021): 1533–73. http://dx.doi.org/10.1007/s11069-021-05106-9.

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AbstractThe magnitude of a disaster’s severity cannot be easily assessed because there is no global method that provides real magnitudes of natural disaster severity levels. Therefore, a new universal severity classification scheme for natural disasters is developed and is supported by data. This universal system looks at the severity of disasters based on the most influential impact factor and gives a rating from zero to ten: Zero indicates no impact and ten is a worldwide devastation. This universal system is for all types of natural disasters, from lightning strikes to super-volcanic eruptions and everything in between, that occur anywhere in the world at any time. This novel universal severity classification system measures, describes, compares, rates, ranks, and categorizes impacts of disasters quantitatively and qualitatively. The severity index is useful to diverse stakeholder groups, including policy makers, governments, responders, and civilians, by providing clear definitions that help convey the severity levels or severity potential of a disaster. Therefore, this universal system is expected to avoid inconsistencies and to connect severity metrics to generate a clear perception of the degree of an emergency; the system is also expected to improve mutual communication among stakeholder groups. Consequently, the proposed universal system will generate a common communication platform and improve understanding of disaster risk, which aligns with the priority of the Sendai Framework for Disaster Risk Reduction 2015–2030. This research was completed prior to COVID-19, but the pandemic is briefly addressed in the discussion section.
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Xu, Huaji, and Haomin Gong. "“Natural” Disasters and Disaster Relief." Prism 21, no. 1 (March 1, 2024): 50–76. https://doi.org/10.1215/25783491-11206824.

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Abstract This article discusses Celestial Fire, volume 2 of Alai's Epic of Ji Village, which depicts a major natural disaster—a wildfire—that hits the village during the Cultural Revolution and the subsequent relief efforts. This article examines how the natural disaster is woven into the texture of social organisms, appropriated by political powers, and maneuvered for building a modern Chinese nation. By investigating how the wildfire, as both a natural and a social event, changes the landscape and the communal structure of Ji Village, and how the state-orchestrated relief efforts fail to lead to salvation, the authors demonstrate the complexity in socialist China of “ecoethnic politics”: politics of ethnic, national, and class relations mediated through ecological changes and reshaping of nature. Nature is thus shown as an ecoideological tapestry into which gender, ethnic, and class politics are intricately interwoven.
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Riadi, Slamet, and Erdiyansyah. "Collaborative governance in handling natural and non-natural disasters based on the perspective of public administration: Evidence from Indonesia." Problems and Perspectives in Management 19, no. 2 (July 5, 2021): 468–79. http://dx.doi.org/10.21511/ppm.19(2).2021.37.

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Both natural and non-natural disasters greatly affect human life, including business actors. The government is urgently required to solve the emerging problems caused by the disaster. This study aims to determine collaborative governance in handling natural and non-natural disasters that affect the business actors in Palu City. This study used a quantitative approach with a series of statistical tests. The sample of this study consisted of 207 respondents who are government and the business actors in Palu City affected by natural and non-natural disasters. Data were collected through observation, questionnaires, and documentation. Then, the data were analyzed with statistical testing including descriptive statistics and a T-Test (comparative test). The results showed a significant difference between collaborative governance during natural and non-natural disasters. Further, the differences in collaborative governance can be seen in the leadership and initial condition variables. When a natural disaster occurs, leadership is urgently required, while a non-natural disaster caused by the COVID-19 is highly determined by the initial conditions. It means that government decision-making to deal with non-natural disasters from the start is urgently required. The evidence can be seen from some countries and regions with slow response to the COVID-19 resulting in difficulty in controlling the spread of the virus.
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Bobbitt, Michael. "Natural Disasters: Implications for Counselors and Counselor Educators." Journal of Counseling Research and Practice 3, no. 1 (April 1, 2018): 56–71. http://dx.doi.org/10.56702/uckx8598/jcrp0301.5.

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Natural disasters often strike with little to no warning and have devastating effects. The impact of natural disasters can include loss of property, loss of a job, or impairment of psychological functioning for survivors of natural disasters. Counselors are called to understand natural disasters, the impact of natural disasters, and interventions for working with natural disaster survivors. Therefore, the purpose of this paper is to examine the impact of natural disasters on clients, counseling practices for working with survivors of natural disaster, and the impact of natural disasters on counselors. Additionally, implications for counselors and counselor education are discussed.
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Bobbitt, Michael. "Natural Disasters: Implications for Counselors and Counselor Educators." Journal of Counseling Research and Practice 3, no. 1 (April 1, 2018): 56–71. http://dx.doi.org/10.56702/nrgw7571.

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Natural disasters often strike with little to no warning and have devastating effects. The impact of natural disasters can include loss of property, loss of a job, or impairment of psychological functioning for survivors of natural disasters. Counselors are called to understand natural disasters, the impact of natural disasters, and interventions for working with natural disaster survivors. Therefore, the purpose of this paper is to examine the impact of natural disasters on clients, counseling practices for working with survivors of natural disaster, and the impact of natural disasters on counselors. Additionally, implications for counselors and counselor education are discussed.
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Krowa, Yuliana Reginaldis Rosali, Fransiskus Xaverius Meku, Yosef Andrian Beo, and Angelina Roida Eka. "COMMUNITY-BASED NATURAL DISASTER PREPAREDNESS EDUCATION IN DIMPONG VILLAGE, NORTH RAHONG DISTRICT IN AN EFFORT TO REDUCE DISASTER RISK." Abdi Dosen : Jurnal Pengabdian Pada Masyarakat 8, no. 3 (September 12, 2024): 1077–83. https://doi.org/10.32832/abdidos.v8i3.2360.

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Every year Indonesia has the potential to experience various natural disasters that have an impact on human life, depending on its geographical location and natural structure, as well as climate change which also contributes to an increase in the incidence of natural disasters. The various natural disasters that hit Indonesia require people to be ready, responsive and alert to disasters. The community is a key element in dealing with disasters, apart from being the first to know about disaster events, the community is also the biggest victim in disasters, and is the source of disaster management. In general, Indonesian people are less prepared to face natural disasters due to a lack of knowledge in preparing themselves for disasters. The community in Dimpong Village, Manggarai Regency has insufficient knowledge regarding pre-disaster preparedness, especially natural disasters. This can be handled by providing information about pre-disaster preparedness and carrying out analyzes related to disaster risk reduction, including identifying dangerous conditions for the area, vulnerabilities in the community, and available capacity in the community. This disaster risk reduction effort is an assessment in implementing a new paradigm in disaster management in Indonesia. By providing education about pre-disaster preparedness, community knowledge increases in efforts to reduce disaster risk in their area.
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Qi, Hong Liang, Wei Ping Tian, and Jia Chun Li. "Evaluation of Regional Anti-Disaster Ability of Highway Natural Disasters." Applied Mechanics and Materials 253-255 (December 2012): 1598–604. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1598.

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In order to evaluate the regional anti-disaster ability of highway natural disasters, this paper analyzes affections of regional social economic, regional highway natural disasters management, and regional highway natural overview. We establish an evaluation system of regional anti-disaster ability of highway natural disasters based on our main indexes, which include the investment percentage of region GDP on regional disaster prevention, regional highway disaster management, and the quantity of disasters in per kilometer. Integrated score is used as the method for evaluating regional anti-disaster ability. Grading and scoring methods for the evaluation indexes are put forward. Based on the method, evaluation model and grading methods for regional anti-disaster ability of highway natural disasters are resolved.
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Baruah, Mintu, and K. V. S. Kumar. "Management of diabetes during natural emergencies." Journal of Social Health and Diabetes 02, no. 02 (December 2014): 067–69. http://dx.doi.org/10.4103/2321-0656.130788.

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AbstractDisaster preparedness is an important but often a neglected part in the management of chronic disorders. India is facing an epidemic of diabetes and the patients with diabetes are also exposed to the risk of natural disaster along with other members of the society. India faced many disasters in the past including the Bhopal gas leak, Gujarat earthquake and Andaman tsunami. These disasters exposed the lacunae in the disaster preparedness and lead to devastating health consequences. Previous research focused more on the immediate, traumatic aspects of the disasters and neglected the impact on chronic disorders. The experience of managing diabetes after Hurricane Katrina gave important insights into the short and long term consequences of a disaster. Our article provides information about the impact of disasters on diabetes, difficulties in the management and suggested measures at various levels to improve the disaster preparedness.
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Li, Shanshan, and Xiaoling Sun. "Application of public emotion feature extraction algorithm based on social media communication in public opinion analysis of natural disasters." PeerJ Computer Science 9 (June 16, 2023): e1417. http://dx.doi.org/10.7717/peerj-cs.1417.

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Natural disasters are usually sudden and unpredictable, so it is too difficult to infer them. Reducing the impact of sudden natural disasters on the economy and society is a very effective method to control public opinion about disasters and reconstruct them after disasters through social media. Thus, we propose a public sentiment feature extraction method by social media transmission to realize the intelligent analysis of natural disaster public opinion. Firstly, we offer a public opinion analysis method based on emotional features, which uses feature extraction and Transformer technology to perceive the sentiment in public opinion samples. Then, the extracted features are used to identify the public emotions intelligently, and the collection of public emotions in natural disasters is realized. Finally, through the collected emotional information, the public’s demands and needs in natural disasters are obtained, and the natural disaster public opinion analysis system based on social media communication is realized. Experiments demonstrate that our algorithm can identify the category of public opinion on natural disasters with an accuracy of 90.54%. In addition, our natural disaster public opinion analysis system can deconstruct the current situation of natural disasters from point to point and grasp the disaster situation in real-time.
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Dissertations / Theses on the topic "Natural disasters"

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Davidson, Clayton Simmons. ""Natural Disasters"." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538761/.

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"Natural Disasters" is a cycle of five extractable movements for septet, conductor and computer. Each movement in the cycle is inspired by the ways that humans are affected by and respond to five different classes or categories of natural disasters: meteorological, such as hurricanes, tornados, and haboobs; geological, like earthquakes and landslides; hydrological, including flooding and sea level rise; wildfires; and extra-planetary disasters such as meteors and solar flares. The disaster types are used as overarching themes and also as sources for the organization of the movements and their surface details. This paper presents an overview of the conception and organization of cycle, the themes addressed in each movement and the compositional techniques used. The history of composers using weather or disaster-related themes in prior music is reviewed, and a survey of contemporary disaster-related compositions is presented.
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Cleenewerck, Adélie. "Natural disasters : What are the economic consequences of natural disasters for households?" Thesis, Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105154.

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Climate change is an important subject nowadays and climate change leads to more natural disasters. This essay is a large literature study on Asian, American, European, Oceanian and African countries about the economic consequences for households as a result of natural disasters and the coping mechanisms used by households, as well as governments and institutions. It also provides information about natural disasters, such as natural disasters that have the worst consequences, people that are highly affected by disasters and places in the world where disasters happen the most. The aim of this study is to learn more about environmental disasters and prepare better for future disasters. The results show consequences on welfare (income, assets, poverty), the labour market, migration and inequality. And the coping strategies found are post-disaster sources (help from family and relatives, public and private transfers, borrowing, credits, savings, insurance), decrease in expenditures, changes in consumption, selling assets, changes in the labour market, help from communities and other ways to cope. Governments and institutions also help households in the aftermath of natural disasters. Overall, we conclude that natural disasters lead to important economic impacts for people, and households react by using different coping mechanisms to recover.
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Stover, Timothy V. "Myth, ritual and symbol in natural disasters and disaster management." Theological Research Exchange Network (TREN) Access this title online Theological Research Exchange Network (TREN), 2008. http://www.tren.com.

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Collier, Benjamin L. "Financial Inclusion and Natural Disasters." UKnowledge, 2013. http://uknowledge.uky.edu/agecon_etds/14.

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This dissertation explores the implications of natural disaster risk for access to financial services, especially credit. Its results show that disasters can dramatically undermine the ability of financial intermediaries (FIs) to lend after an event, increasing the cost of the disaster and delaying recovery. Moreover, the risk of natural disasters discourages investment in vulnerable regions and economic sectors and so slows economic development. Financial risk transfer mechanisms such as insurance can help maintain lending following an event. While many international development projects have targeted disaster insurance markets to households, managing disaster-related credit risk may be done more effectively through insurance products for FIs. Additionally, prudential supervision and the credit risk rating methods of investors in developing and emerging economies are dominated by developed country standards that overlook natural disaster risks. Public and private interests align in the need to tailor such standards and so enhance the effectiveness with which vulnerable FIs manage disaster risk.
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Olauson, Jon. "Wind Power and Natural Disasters." Licentiate thesis, Uppsala universitet, Elektricitetslära, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-225573.

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Wind power can be related to natural disasters in several ways. This licentiate thesis gives some background and introduces four papers devoted to two aspects of this relation. The first section looks into how small-scale wind energy converters (WECs) could be used to generate power after a natural disaster. For this application diesel generators are the most common solution today, but there would be several advantages of replacing these systems. A study of off-grid systems with battery storage at 32 sites showed that photovoltaics (PV) were more suitable than WECs. The results were confirmed by a study for the entire globe; PV outperformed WECs at most sites when it comes to small-scale application. This is especially true for areas with a high disaster risk. Hybrid systems comprising both PV and WECs are however interesting at higher latitudes. For the Swedish case, it is shown that gridded data from a freely available meteorological model, combined with a statistical model, give good estimates of the mean wind speed at 10 meters above ground. This methodology of estimating the mean wind speed can be used when there is no time for a proper wind measurement campaign. The second section is directed towards wind power variability and integration. The results presented in the thesis are intended as a basis for future studies on how a substantially increased wind power capacity affects the electric grid in terms of stability, grid reinforcement requirements, increased balancing needs etc. A review of variability and forecastability for non-dispatchable renewable energy sources was performed together with researchers from the solar, wave and tidal power fields. Although a lot of research is conducted in these areas, it was concluded that more studies on combinations of the sources would be desirable. The disciplines could also learn from each other and benefit from the use of more unified methods and metrics. A model of aggregated hourly wind power production has finally been developed. The model is based on reanalysis data from a meteorological model and detailed information on Swedish WECs. The model proved very successful, both in terms of low prediction errors and in the match of probability density function for power and step changes of power.
Vindkraft kan relateras till naturkatastrofer på flera olika sätt. Den här licentiat\-avhandlingen ger bakgrund till och introducerar fyra artiklar som beskriver två aspekter av detta samband. I den första avdelningen undersöks hur småskalig vindkraft skulle kunna användas för att generera el efter en naturkatastrof. I dagsläget är det dieselaggregat som används för detta ändamål, men det skulle finnas stora fördelar med att övergå till förnybara system. En studie av 32 platser (myndigheten MSB:s utlandsstationeringar augusti 2012) visade att solceller var mer lämpade än vindkraftverk. Resultaten bekräftades av en studie för hela världen; solceller ger billigare system än småskaliga vindkraftverk för de flesta platser, inte minst om man tittar på områden som är utsatta för naturkatastrofer. Hybridsystem med både solceller och vindkraftverk var dock intressanta på högre breddgrader. För Sverige så visas det att data från en fritt tillgängliga meteorologisk modell tillsammans med en statistisk korrigering beroende på terrängtyp ger bra uppskattningar av medelvinden på 10 meters höjd. Den föreslagna metodiken kan vara användbar som ett komplement till vindmätningar eller om det inte finns tid eller möjlighet till en riktig mätkampanj. Den andra avdelningen är inriktad mot vindens variabilitet och integrering av vindkraft i kraftsystemet. De resultat som presenteras i denna avhandling är tänkta som en bas för framtida studier av hur en kraftigt ökad andel vindkraft påverkar elsystemet med avseende på stabilitet, nödvändiga nätförstärkningar, ökade krav på balanskraft etc. En översiktsstudie av variabilitet och prognosbarhet för intermittenta förnybara energikällor gjordes tillsammans med forskare inom sol-, våg och tidvattenkraft. Även om mycket forskning pågår inom dessa områden så var en slutsats att mer studier för kombinationer av olika källor skulle vara önskvärt. Forskare inom de olika disciplinerna skulle också kunna lära från varandra och dra fördel av gemensamma metoder och mått. Slutligen har en modell av aggregerad timvis vindkraftproduktion tagits fram. Modellen baseras på data från en meteorologisk modell samt detaljerad information om vindkraftverk i Sverige. Modellen visade sig vara mycket träffsäker, både vad gäller låga prediktionsfel och i överensstämmelse av sannolikhetsfördelning av effekt och stegförändring av timvis effekt.
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Keerthiratne, Wendala Gamaralalage Subhani Sulochana. "Economic impact of natural disasters." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/70405/.

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Fugate-Whitlock, Elizabeth. "Natural Disasters and Older Adults: The Social Construction of Disaster Planning." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2617.

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Examining older adults’ experiences with and response toward hurricanes within the context of the community of residence is key to both understanding their experiences and planning for future hurricanes. Specific to this research, the objective was to understand the current social network of older adults, or who provides care for whom under what circumstances, using the social constructionist perspective. Grounded theory combined with action research was the theoretical orientation guiding the study. Sources of data included the collection of household disaster plans, semi-structured interviews with older adult residents of housing authority neighborhoods, semi-structured interviews with community planners, and observation of community planning meetings. Data were gathered from older adults living in housing authority communities in Southeastern North Carolina using guidelines established by the North Carolina Department of Health and Human Services to develop individual disaster plans. The individual disaster plans were completed during face to face meetings with the older adults, as were semi-structured interviews. Semi-structured interviews were also completed with area planners. Agendas, minutes, and observational notes from disaster planning meetings were collected. The content of the individual disaster plans, semi-structured interviews, and observation notes were then analyzed to determine gaps that must be addressed in order to meet the overall needs of the community. Working with participants, the housing authority disaster response committee, and county planners, a neighborhood plan will be developed that reflects the social construction of all concerned for use in response to future hurricanes. The impact of the multiple levels of communities was apparent in this research. While common thematic processes emerged in data analysis, planners, housing authority personnel and residents of housing communities define community differently. There is discordance when they identify needed resources, and when they reflect on past experience. A power differential which resulted in stifling was also observed.
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Lee, Dalbyul. "The impact of natural disasters on neighborhood change:longitudinal data analysis." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/50113.

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This dissertation seeks to explore the association between natural disasters and neighborhood change and further to examine the differential impact of natural disasters on neighborhood change according to the disaster itself, the rehabilitation efforts of local jurisdictions, and the characteristics of the affected neighborhoods. Using the longitudinal model, it examines the shifts in neighborhood change trajectory before and after natural disaster for three indicators (home values, poverty rate and racial diversity). The results find that natural disasters have a significant impact on the trend of neighborhood change, reducing variation in the indicators within neighborhood. Home values and racial diversity of neighborhoods are likely to immediately decrease after natural disasters but not to shift in subsequent rate of change,while poverty rates are likely to instantly increase in the aftermath of the disasters and to annually decline over time. This dissertation also explores the differential effects on neighborhood change according to intensity of natural disaster, neighborhoods? average income and the location. The results of the analyses are like the following: 1) the neighborhoods which the more intense disasters hit are more likely to experience the rapid decline in home values and an instant increase in their poverty rates than those which the less intense disaster hit. On the other hand, the more intense natural disasters are more likely to increase neighborhoods? racial diversity than the less intense natural disasters, while natural disasters themselves are likely to decrease it. 2) natural disasters might have the more adverse impacts on low- and high-income neighborhoods than moderate-income neighborhoods and that the impacts on low-income neighborhoods are most severe. More importantly, the adverse impacts in low-income neighborhoods might be long lasting. 3)neighborhoods in suburban areas, compared to neighborhoods in the central cities, are likely to decrease in their home values after natural disasters and to increase in their poverty rates. Finally, the findings of this dissertation confirms its main arguments that a natural disaster affects the trend of neighborhood change and intervenes in the path of change over time and that natural disasters differentially shift neighborhoods according to their characteristics. Further it suggests that these neighborhood changes, once accelerated by a natural disaster, further polarize residential populations on a metropolitan neighborhood scale.
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Garber, Nikola Marie. "Natural disasters in international affairs formulating reconstruction planning in NOAA /." [Hattiesburg, MS : The University of Southern Mississippi], 2004. http://www.usm.edu/international/files/Garber-FullDissertation.pdf.

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Prevatte, Darren R. "Catastrophic risks and mitigation measures around the world." View electronic thesis, 2008. http://dl.uncw.edu/etd/2008-3/prevatted/darrenprevatte.pdf.

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Books on the topic "Natural disasters"

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Haerens, Margaret, and Lynn M. Zott. Natural disasters. Detroit: Greenhaven Press, 2013.

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Abbott, Patrick L. Natural disasters. 2nd ed. Boston: WCB/McGraw-Hill, 1999.

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Britain), National Association for Special Educational Needs (Great. Natural disasters. Wellingborough: Rising Stars, 2007.

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Brian, Janeen. Natural disasters. Flinders Park, S. Australia: Era, 1992.

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Abbott, Patrick L. Natural disasters. 4th ed. Boston: McGraw-Hill Higer Education, 2004.

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Watts, Claire. Natural disasters. London: DK, 2006.

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Association, Reader's Digest, ed. Natural disasters. London: Reader's Digest, 1996.

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Abbott, Patrick L. Natural disasters. Dubuque, IA: Wm. C. Brown Publishers, 1996.

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Wood, Tim. Natural disasters. New York: Thomson Learning, 1993.

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Alexander, David. Natural disasters. New York: Chapman & Hall, 1993.

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Book chapters on the topic "Natural disasters"

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Kar, Nilamadhab. "Natural Disasters." In Encyclopedia of Adolescence, 1862–69. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_363.

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Done, Adrian. "Natural Disasters." In Global Trends, 227–46. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9780230358973_13.

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Brataas, Kjell. "Natural Disasters." In Crisis Communication, 13–43. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315368245-2.

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Souza, Tancredo. "Natural Disasters." In Soil Biology in Tropical Ecosystems, 125–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00949-5_8.

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Pandey, Rajendra K. "Natural Disasters." In Disaster Management in India, 31–46. London: Routledge India, 2023. http://dx.doi.org/10.4324/9781003450603-4.

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Du, Weiwei, and Penelope Burns. "Natural disasters." In Disaster Health Management, 271–81. 2nd ed. London: Routledge, 2024. http://dx.doi.org/10.4324/9781032626604-28.

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Kilmer, Ryan P., Virginia Gil-Rivas, Jacqueline M. Tynan, and Jacqueline C. Larson. "Natural disasters." In APA handbook of contemporary family psychology: Applications and broad impact of family psychology (Vol. 2)., 555–70. Washington: American Psychological Association, 2019. http://dx.doi.org/10.1037/0000100-034.

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Wang, Jing’ai, Shunlin Liang, and Peijun Shi. "Natural Disasters." In World Regional Geography Book Series, 231–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04158-7_10.

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Pelton, Joseph N. "Natural Disasters." In Space Systems and Sustainability, 193–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75735-9_12.

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Ahmad, Junaid, and Haleema Sadia. "Natural Disasters." In Handbook of Global Health, 2335–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45009-0_100.

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Conference papers on the topic "Natural disasters"

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Yuta, Nagae, Takeo Kondo, Kazukiyo Yamamoto, and Hasikawa Takasi. "Study of the Measures Manual for Natural Disasters in a Marina." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57297.

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Currently, natural disaster management at marinas depends on the experience of the marina managers. To improve the safety of marinas, it is necessary to prepare a manual for natural disaster management according to the local conditions at each marina. In this study, we focused on the basic information required for preparing effective manuals to deal with typhoons and tidal waves. We investigated the damage caused by typhoons and tidal waves, and the measures taken by marinas against natural disasters. The damage caused by natural disasters strongly depends on the storage system and shape of the marina.
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Seven, Furkan, Meral Uslu, and Bulut Guney Sahan. "THE ASSOCIATION BETWEEN NATURAL DISASTERS - TRADE: LITERATURE REVIEW." In Innovative Solutions for Managing the Economy in an International Crisis Scenario. Oikos Institute – Research Center, Bijeljina, Bosnia and Herzegovina, 2023. http://dx.doi.org/10.61432/cpne0101164s.

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In this study, a literature review has been conducted to understand the association between natural disasters and trade. The hypothesis of the study is that although natural disasters have a significant impact on trade, they have not been extensively examined in academic literature. The purpose of the study is to determine the accuracy of the claim presented in the hypothesis. Various publications published in the last 12 years, containing pre-defined related keywords, have been analyzed. Studies have been grouped according to the years of publication, sources of disaster data used, level of analysis, methods/ models employed, and the results they reached. As a result of this review, the aim is to find the gap in the literature regarding the association between natural disasters and trade, and consequently recommend a road map for future studies. The findings of this review indicate that most studies concluded that natural disasters negatively affect international trade. However, divergent results emerged in studies using different econometric models or focusing on specific contexts. The review highlights the need for diversifying studies in the literature at a micro-level and with different models. To achieve more specific and clear results, future research should examine the factors determining the impact of natural disasters on international trade data separately and increase the diversity in the econometric approaches used. Increasing research on regional and national levels is important for policymakers in high-risk areas. Raising the number of studies is extremely crucial for reducing the impact of natural disasters and developing effective strategies.
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MOH, ZA-CHIEH, and DANIEL T. C. YAO. "NATURAL DISASTERS IN TAIWAN." In Proceedings of the International Conference. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701602_0002.

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Mohammed, Amir, Craig Ramlal, Arvind Singh, Sean Rocke, and Daniel Goitia. "A SIMULATION FRAMEWORK FOR CONTROLLED CRITICAL INFRASTRUCTURES SUBJECT TO NATURAL DISASTERS." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/fzep7016.

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Natural disasters are inherently unpredictable and can cause major damage to critical infrastructures in cities and loss of life. In this study, a simulation and control framework was developed for evaluating response decisions for natural disaster scenarios with the objective of minimizing the casualties generated from within the simulation. The package was developed in MATLAB Simulink using the infrastructure interdependencies simulator (I2Sim) with a test system of six small residences, one large residence, two health centres, one large hospital, three water pumps of varying capacities and one energy production cell. The research focused on the development of heuristic controllers to evaluate the best possible outcome given the disaster scenario simulated to affect critical infrastructure. Response decisions were generated for 625 unique scenarios, this information once grouped, can be used to inform response policies after natural disasters.
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Dopuđ, Ognjen, and Aleksandra Sitarević. "INNOVATIVE APPROACHES TO NATURAL DISASTER MANAGEMENT: THE ROLE OF AI AND IoT." In INTERNATIONAL Conference on Business, Management, and Economics Engineering Future-BME, 1042–48. Faculty of Technical Sciences, Novi Sad, 2025. https://doi.org/10.24867/future-bme-2024-114.

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The aim of this paper is to represent the innovative approaches to the natural disaster management, emphasizing the role of Artificial Intelligence (AI) and the Internet of Things (IoT) in transformation of natural disaster management based on predictive solutions. The paper highlights the improvements in real-time monitoring, early warning systems, and predictive accuracy for natural disasters. The integration of AI and the IoT has revolutionized natural disaster management and prediction. AI algorithms analyze datasets from IoT sensors deployed in vulnerable areas, enabling real-time monitoring and early warning systems. These technologies enhance predictive accuracy for disasters. Machine learning models process historical and real-time data to identify patterns and forecast events with unprecedented precision. This synergy improves emergency response, minimizes casualties, and mitigates economic losses. Possible challenges in implementation of innovative approaches to Natural Disaster Management based on AI and IoT include ensuring data security, managing the high volume of data, and integrating AI-IoT systems into existing infrastructure. The innovative approaches to Natural Disaster Management leads to optimized resource allocation, minimized economic losses, and support of efficient recovery efforts. By integrating these advanced technologies, businesses and economic systems can achieve a competitive advantage, ensuring stability and sustainability in the face of increasing global challenges.
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Ožinger, Bojan, and Ivica Završki. "Methodology for selecting emergency shelter locations in natural disasters." In 10th Symposium on Doctoral Studies in Civil Engineering, 61–70. University of Zagreb Faculty of Civil Engineering, 2024. http://dx.doi.org/10.5592/co/phdsym.2024.7.

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Evacuation shelters are crucial for protecting people in areas affected by disasters, minimizing loss of life and increasing community resilience. Planning and allocating shelters reduce vulnerability and include improving infrastructure, crisis management, education, legislation, early warning systems, and recovery strategies. However, uneven distribution of shelters and differences in population density limit their accessibility. Shelter location selection is based on distance from disaster areas, access to green spaces, and building quality. The article proposes a research framework to analyze the impact of population numbers on shelter location selection, aiming to place shelters outside vulnerable areas to maximize safety. The study offers practical information for future disaster planning, prevention, and preparation.
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Kumar, Rahul, Dr Suman Sharma, and Hima Saxena. "DISASTER GUARD AI: A SYNERGISTIC SOLUTION FOR INTELLIGENT DISASTER MANAGEMENT." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.21.

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Disaster Guard AI is a novel and synergistic approach to intelligent disaster management, combining advanced artificial intelligence, advanced sensor networks, and real-time data analytics. This innovative solution aims to revolutionize the way we prepare for, respond to, and recover from disasters. As the frequency and intensity of natural disasters continue to rise, there is an urgent need for advanced technologies to enhance disaster response and mitigation strategies. Disaster Guard AI combines machine learning algorithms, real-time data analytics, and advanced sensor networks to provide a comprehensive and adaptive approach to disaster preparedness, response, and recovery. The paper presents the conceptual framework, architecture, and potential applications of Disaster Guard AI, emphasizing its potential to revolutionize the way we approach disaster preparedness, response, and recovery. The escalating frequency and intensity of natural disasters have underscored the pressing need for advanced technologies to enhance disaster management strategies. By combining advanced machine learning algorithms, real-time data analytics, and state-of-the-art sensor networks, Disaster Guard AI aims to mitigate the impact of disasters and improve overall response efficiency. In conclusion, Disaster Guard AI is a pioneering solution that combines the power of AI, machine learning, and sensor technologies to revolutionize disaster preparedness, response, and recovery. Its potential to enhance resilience and mitigate the devastating impacts of various types of disasters underscores the urgent need for advanced and intelligent disaster management solutions.
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Popoola, Abdulfatai, Dmytro Krasnoshtan, Attila-Peter Toth, Victor Naroditskiy, Carlos Castillo, Patrick Meier, and Iyad Rahwan. "Information verification during natural disasters." In the 22nd International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2487788.2488111.

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Mykhalko, Olekasndr. "NATURAL DISASTERS IN GLOBAL SCALE." In WIELOKIERUNKOWOSC JAKO GWARANCJA POSTĘPU NAUKOWEGO. European Scientific Platform, 2020. http://dx.doi.org/10.36074/21.02.2020.v2.55.

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Coatsworth, A. "Natural Hazards – Man-Made Disasters." In 67th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2005. http://dx.doi.org/10.3997/2214-4609-pdb.1.f021.

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Reports on the topic "Natural disasters"

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Noy, Ilan, and Eduardo A. Cavallo. The Economics of Natural Disasters: A Survey. Inter-American Development Bank, December 2009. http://dx.doi.org/10.18235/0010924.

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Natural disasters are by no means new, yet the evolving understanding of their relevance to economic development and growth is still in its infancy. This paper summarizes the state of the economic literature examining the aggregate impact of disasters. The paper reviews the main disaster data sources available, discusses the determinants of the direct effects of disasters, and distinguishes between short- and long-run indirect effects. The paper then examines some of the relevant policy questions and follows up with projections about the likelihood of future disasters. The paper ends by identifying several significant gaps in the literature.
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Funderburk, Brianna, and Lucas J. Misera. The Impact of Natural Disasters on Small Businesses. Federal Reserve Bank of Cleveland, November 2022. http://dx.doi.org/10.55350/sbcs-20221115.

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The 2021 Small Business Credit Survey (SBCS) found that 1 in 10 small employer businesses suffered losses from a natural disaster during the prior 12 months. According to the National Centers for Environmental Information, the United States experienced 20 billion-dollar natural disasters in 2021, making it one of the costliest years in recent history. Major events included Hurricane Ida, the historic cold wave in Texas and other southern states, and the destructive wildfire season in the West. To more deeply explore the impact of these and other natural disasters on small businesses, the SBCS includes a module of natural disaster-related questions for affected firms. This fact sheet outlines some of the major findings from the 2021 SBCS for employer firms with respect to natural disaster impact.
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Auh, Jun Kyung, Jaewon Choi, Tatyana Deryugina, and Tim Park. Natural Disasters and Municipal Bonds. Cambridge, MA: National Bureau of Economic Research, July 2022. http://dx.doi.org/10.3386/w30280.

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Kelman, Ilan. There are no ‘natural disasters’. Edited by Sara Phillips. Monash University, October 2022. http://dx.doi.org/10.54377/5336-ebfa.

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Noy, Ilan, Oscar Becerra, and Eduardo A. Cavallo. Foreign Aid in the Aftermath of Large Natural Disasters. Inter-American Development Bank, August 2012. http://dx.doi.org/10.18235/0011405.

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This paper examines Official Development Assistance (ODA) in the aftermath of large natural disasters between 1970 and 2008. Using an event-study approach, the paper finds that while the median increase in ODA is 18 percent compared to pre-disaster flows, the typical surge is small in relation to the size of the affected economies. Moreover, aid surges typically cover only 3 percent of the total estimated economic damages caused by the disasters. The main determinants of post-disaster aid surges are found to be the intensity of the event itself and the recipient country's characteristics such as level of development, country size and stock of foreign reserves. The paper does not find evidence that political considerations or strategic behavior on the part of donors determine the size of post-disaster aid surges.
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Charvériat, Céline. Natural Disasters in Latin America and the Caribbean: An Overview of Risk. Inter-American Development Bank, October 2000. http://dx.doi.org/10.18235/0010938.

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This paper integrates information from both economics and the physical sciences to survey the effects of natural disasters in the region. A first section surveys the human and economic impact of natural disasters in the region at both the household and aggregate levels, noting both the geographical distribution of disaster risk and its long-term implications for development. A second section reviews types of disasters prevalent in the region, and future disaster risks, as well as the socio-economic sources of vulnerability to disasters resulting from development and migration patterns. A third section discusses risk management strategies at the household and community level, with public policy options and proposals for emergency response and finding an appropriate mix of local, national and market-based solutions.
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Ottoni-Wilhelm, Mark, Kimberley Scharf, and Sarah Smith. The donation response to natural disasters. The IFS, October 2017. http://dx.doi.org/10.1920/wp.ifs.2017.w1719.

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Ayala-García, Jhorland. Natural disasters, emergency declaration, and corruption. Banco de la República, April 2024. http://dx.doi.org/10.32468/dtseru.325.

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Corruption is generally understood as taking advantage of public power for private benefit. This paper evaluates the relationship between emergency declarations for natural disasters and corruption. We use information from Colombia between 2012 and 2022 and an instrumental variable approach. We take advantage of the exogeneity of the frequency of natural disasters to city level unobservable characteristics to construct our instrument. Since emergency declarations increase the discretion of local officials towards public spending, it is expected to see a rise in corruption. Our findings show a positive relationship between the frequency of natural disasters and the probability of emergency declaration, followed by an increase in observed corruption. The higher level of discretion of public officials not only increases the number of open cases of corruption and convictions, but also the amount of resources involved. We also find that the frequency of natural disasters is not associated with a higher level of expenditure in preemptive and relief spending, nor is it generating unexpected spending. This suggests that what is behind the higher corruption after an emergency declaration is a misappropriation of the budgeted resources in Colombian cities.
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Galiani, Sebastián, Ilan Noy, Eduardo A. Cavallo, and Juan Pantano. Catastrophic Natural Disasters and Economic Growth. Inter-American Development Bank, June 2010. http://dx.doi.org/10.18235/0010949.

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This paper examines the short and long-run average causal impact of catastrophic natural disasters on economic growth by combining information from comparative case studies. The counterfactual of the cases studied is assessed by constructing synthetic control groups, taking advantage of the fact that the timing of large sudden natural disasters is an exogenous event. It is found that only extremely large disasters have a negative effect on output, both in the short and long run. However, this result appears in two events where radical political revolutions followed the natural disasters. Once these political changes are controlled for, even extremely large disasters do not display any significant effect on economic growth. It is also found that smaller, but still very large natural disasters, have no discernible effect on output.
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Vela, Mauricio A., and Sebastián J. Miller. Is Disaster Risk Reduction Spending Driven by the Occurrence of Natural Disasters? Evidence from Peru. Inter-American Development Bank, April 2014. http://dx.doi.org/10.18235/0011629.

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This paper studies the allocation of total disaster risk reduction public spending among regions in Peru. The main objective of this work is to identify the main determinants of the distribution of these resources, and for this purpose an index of historical physical impacts of natural disasters, social vulnerability, and institutional capacity was created. It is found that historical impacts of climatological disasters are positively correlated with the per capita amount received by region in order to prevent future natural disasters. Impacts of geological disaster, on the other hand, affect the amount of executed and budgeted resources used to cope with the effects of past disasters. The prevention expenditure is mainly driven by climatological effects on the agriculture sector. Additionally, results confirm that higher social vulnerability is a main determinant of the distribution of prevention spending but conditioned on being affected by climatological disasters. Institutional capacity seems to define only the amount of recovery expenditure, positively for regions more seriously affected by geological disasters and negatively for regions devastated by climatological disasters.
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