946 resultados para Natural disaster warning systems.
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Background. This paper examines the contributions of dispositional and non-dispositional factors to post-disaster psychological morbidity. Data reported are from the 845 participants in the longitudinal component of the Quake Impact Study. Methods. The phase 1 survey was used to construct dimensional indices of threat and disruption exposure. Subsequently, a range of dispositional characteristics were measured, including neuroticism, personal hopefulness and defence style. The main morbidity measures were the General Health Questionnaire (GHQ-12) and Impact of Event Scale (IES). Results. Dispositional characteristics were the best predictors of psychological morbidity throughout the 2 years post-disaster, contributing substantially more to the variance in morbidity (12-39%) than did initial exposure (5-12%), but the extent of their contribution was greater for general (GHQ-12) than for post-traumatic (IES) morbidity. Among the non-dispositional factors, avoidance coping contributed equally to general and post-traumatic morbidity (pr = 0.24). Life events since the earthquake (pr = 0.18), poor social relationships (pr = -0.25) and ongoing earthquake-related disruptions (pr = 0.22) also contributed to general morbidity, while only the latter contributed significantly to post-traumatic morbidity (pr = 0.15). Conclusions. Medium-term post-earthquake morbidity appears to be a function of multiple factors whose contributions vary depending on the type of morbidity experienced and include trait vulnerability, the nature and degree of initial exposure, avoidance coping and the nature and severity of subsequent events.
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This paper summarises the major findings from the Quake Impact Study (QIS), a four-phase longitudinal project that was conducted in the aftermath of the 1989 Newcastle (Australia) earthquake. A total of 3,484 subjects participated in at least one component of the QIS, comprising a stratified sample of 3,007 drawn from community electoral rolls and 477 from specially targeted supplementary samples (the injured, the displaced, the owners of damaged businesses, and the helpers). Subjects' initial earthquake experiences were rated in terms of weighted indices of exposure to threat and disruption. Psychological morbidity was measured at each phase using the General Health Questionnaire (GHQ-12) and the Impact of Event Scale (IES). Selected findings and key conclusions are presented for each of six areas of investigation: service utilisation during the first 6 months post-disaster; patterns of earthquake experience and short-term (6-month) psychosocial outcome; earthquake exposure and medium term (2-year) psychosocial outcome; vulnerability factors and medium-term psychosocial outcome: specific community groups at increased risk (e.g., the elderly and immigrants from non-English-speaking backgrounds); the effects of stress debriefing for helpers. Threshold morbidity (i.e., likely caseness) rates are also presented for a broad range of subgroups. In addition to presenting an overview of the QIS, this paper synthesises the major findings and discusses their implications for future disaster management and research from a mental health perspective.
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Patterns of water supply and use in Australia and the U.S.A. differ in many ways. This results in different perceptions concerning the nature of drought and policy approaches to its management. This paper discusses the differences and similarities and explores lessons that policy makers in both countries can learn from one another. A key difference between the two countries is that whereas drought is perceived in Australia essentially in terms of its impact on agriculture, in the U.S. both perceptions and policy are also heavily influenced by the impact of drought on urban communities. This has led to different policy emphases. In 1992 Australia established its National Drought Policy; the U.S. is presently considering the adoption of a national drought policy. These policies highlight drought being accepted as part of natural climate variability, rather than as a natural disaster. They also emphasize the protection of the natural resource base.
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O estudo de caso trata do desastre natural ocorrido na regi??o serrana do Rio de Janeiro nos dias 11 e 12 de janeiro de 2011, considerado a maior cat??strofe clim??tica e geot??cnica do pa??s, causado por fortes chuvas que provocaram enchentes e deslizamentos em sete munic??pios. O caso tem por finalidade despertar a discuss??o sobre as vari??veis e atores que influenciaram o processo de gest??o da crise, contextualizando o desastre no cen??rio da regi??o e reconstituindo, especialmente, o processo de resposta imediata dada ?? trag??dia pelos ??rg??os envolvidos. O estudo pode ser utilizado em cursos que abordem, entre outros, os seguintes t??picos: gest??o de crise e gest??o de riscos, negocia????o, comunica????o e planejamento estrat??gico
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ABSTRACTBank failures affect owners, employees, and customers, possibly causing large-scale economic distress. Thus, banks must evaluate operational risks and develop early warning systems. This study investigates bank failures in the Organization for Economic Co-operation and Development, the North America Free Trade Area (NAFTA), the Association of Southeast Asian Nations, the European Union, newly industrialized countries, the G20, and the G8. We use financial ratios to analyze and explore the appropriateness of prediction models. Results show that capital ratios, interest income compared to interest expenses, non-interest income compared to non-interest expenses, return on equity, and provisions for loan losses have significantly negative correlations with bank failure. However, loan ratios, non-performing loans, and fixed assets all have significantly positive correlations with bank failure. In addition, the accuracy of the logistic model for banks from NAFTA countries provides the best prediction accuracy regarding bank failure.
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A Lei de Potência é uma particularidade de um sistema não linear, revelando um sistema complexo próximo da auto-organização. Algumas características de sistemas naturais e artificiais, tais como dimensão populacional das cidades, valor dos rendimentos pessoais, frequência de ocorrência de palavras em textos e magnitude de sismos, seguem distribuições do tipo Lei de Potência. Estas distribuições indicam que pequenas ocorrências são muito comuns e grandes ocorrências são raras, podendo porém verificar-se com razoável probabilidade. A finalidade deste trabalho visa a identificação de fenómenos associados às Leis de Potência. Mostra-se o comportamento típico destes fenómenos, com os dados retirados dos vários casos de estudo e com a ajuda de uma meta-análise. As Leis de Potência em sistemas naturais e artificiais apresentam uma proximidade a um padrão, quando os valores são normalizados (frequências relativas) para dar origem a um meta-gráfico.
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Mestrado em Gestão e Avaliação de Tecnologias da Saúde
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RESUMO - Nos últimos anos, as catástrofes naturais têm sido a causa frequente de problemas de Saúde Pública; além disso representam um sério obstáculo ao desenvolvimento das comunidades atingidas, na medida em que consomem ponderáveis recursos para a mitigação dos danos sofridos. Pode-se dizer que não existe nenhum país que não esteja exposto ao risco de catástrofes naturais, tais como Sismos, Tsunamis, Erupções Vulcânicas, Movimentos de Vertentes, Ciclones Tropicais, Ondas de Frio e de Calor, Secas e Inundações, e como tal, este é um problema global emergente. Como, actualmente, é impossível prever e controlar a ocorrência destes fenómenos, as acções humanas têm de ser direccionadas para a implementação de soluções que possam mitigar e/ou prevenir o seu impacto na sociedade. A integração do lugar, do espaço e do tempo na Saúde Pública, como componentes de investigação relativas aos problemas da população, são uma ferramenta metodológica importante no auxílio do planeamento, monitorização e avaliação das acções em saúde. O que está em causa neste estudo é o pensar, o preparar e o adaptar os nossos territórios e populações a cenários de crise que podem aparecer sem aviso prévio. Este trabalho é, sobretudo, uma forma de pensar e planear o futuro numa lógica de adaptação e valorização do território, construindo referenciais de suporte à acção. Assim, a finalidade deste estudo é contribuir para melhorar/aperfeiçoar a resposta perante novas situações de catástrofe natural, através da percepção e caracterização de situações anteriores de catástrofes naturais a que a Ilha de São Miguel, nos Açores, esteve sujeita nos últimos vinte e seis anos, através da construção e análise de cartas de localização de risco, caracterização da população em risco e da avaliação dos respectivos Planos de Emergência. ---------------------- ABSTRACT - In the last years, the natural disasters have been the frequent cause of Public Health problems and additionally they represent a serious obstacle to the development of the communities affected, in so far as they consume ponderable resources to the mitigation of the damages. It is possible to be said that there is not any country that is not exposed to the risk of natural disasters such as earthquakes, tsunamis, volcanic eruptions, landslides, tropical cyclones, waves of heat and coldness, droughts and floods, and as such, this is an emerging global problem. As it is now impossible to predict and control the occurrence of these phenomena, human actions must be directed to implement solutions that can mitigate and / or prevent their impact on society. The integration of place, space and time on Public Health, as part of research on problems of the population, are an important methodological tool to aid planning, monitoring and evaluation of activities in health. The main issue in this study is to think, prepare and adapt our territories and populations to crisis scenarios that may occur without notice. This work is mainly a way of thinking and planning ahead in a logic of adapting and improving the area, building frameworks to support the action. Thus, the purpose of this study is to contribute to improve / optimize the answer for new natural disaster situations, through the perception and characterization of previous situations of natural catastrophes that the Island of São Miguel, in the Azores, has been subject in the last twenty six years, through the construction and analysis of risk maps, characterization of the population in risk and of the evaluation of the respective Plans of Emergence.
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Os sistemas de apoio à decisão clinica têm-se revelado essenciais no dia-a-dia da população, nomeadamente dos profissionais e dos pacientes. Estes sistemas podem ser aplicados com diferentes objetivos: como sistemas de alerta; de prevenção de doenças; sistemas para dosagem de medicação e prescrição; entre outras. Atualmente é notório o aumento de interesse por parte da população em entender e em possuir um papel ativo nas decisões médicas. Para conseguirem fazê-lo necessitam de procurar informação. O meio mais utilizado para obter essa informação é a internet, onde a informação se encontra em grande quantidade e muito dispersa. Para além da quantidade é imprescindível encontrar informação credível, para que não haja indução da pessoa em erro. Para ajudar a solucionar estes problemas surgiram os sistemas de recomendação na saúde. Estes sistemas foram idealizados para fornecer informações às quais os utilizadores podem recorrer para tomar decisões conscientes e seguras sobre a sua saúde. Também os sistemas de alerta se têm revelado importantes na área da saúde. Estes sistemas podem ser usados em diferentes contextos e sobre diferentes assuntos, como por exemplo, a alteração do estado clínico de um paciente monitorizado, em tempo real, ou em interações medicamentosas. As interações medicamentosas podem advir da automedicação do utente ou da larga quantidade de medicação que, a partir de determinada idade, os utentes ingerem. Pode ter como causa medicação que administrem regularmente, ou até mesmo diariamente, ou doenças/estados que o utente possua que, em simultâneo com determinada medicação pode causar reações adversas. Neste trabalho foi desenvolvido um protótipo de uma farmácia online (FoAM) que fornece, ao utilizador, alertas quando há possibilidade de interações. As causas de interações consideradas foram os medicamentos que o utilizador consuma e/ou doenças/estados que possua. O objetivo é alertar para o caso das causas que o utilizador possui interagirem com o(s) medicamento(s) que este deseja adquirir. Para alcançar esse objetivo foi necessário selecionar os medicamentos a disponibilizar assim como as suas interações. Essa seleção foi baseada no prontuário terapêutico 2013 disponibilizado pelo INFARMED. Depois de recolhida e analisada a informação, foi possível compreender que informações clínicas o sistema necessita para que consiga identificar os medicamentos que não são aconselháveis adquirir. Para isso, é necessário que o utilizador forneça essas informações clínicas pessoais, necessidade que vai de encontro à posição defendida por diversos autores que apontam o uso de registos eletrónicos de saúde muito benéfico para conseguir alertas mais personalizados suprindo assim as necessidades do utilizador. É também preponderante que o utilizador perceba o porquê de determinado medicamento não ser aconselhável, por isso, ao ser emitido o alerta é também apresentada a justificação do mesmo, ou seja, é disponibilizado ao utilizador qual a causa que indicou no formulário responsável pela interação.
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Natural disasters are events that cause general and widespread destruction of the built environment and are becoming increasingly recurrent. They are a product of vulnerability and community exposure to natural hazards, generating a multitude of social, economic and cultural issues of which the loss of housing and the subsequent need for shelter is one of its major consequences. Nowadays, numerous factors contribute to increased vulnerability and exposure to natural disasters such as climate change with its impacts felt across the globe and which is currently seen as a worldwide threat to the built environment. The abandonment of disaster-affected areas can also push populations to regions where natural hazards are felt more severely. Although several actors in the post-disaster scenario provide for shelter needs and recovery programs, housing is often inadequate and unable to resist the effects of future natural hazards. Resilient housing is commonly not addressed due to the urgency in sheltering affected populations. However, by neglecting risks of exposure in construction, houses become vulnerable and are likely to be damaged or destroyed in future natural hazard events. That being said it becomes fundamental to include resilience criteria, when it comes to housing, which in turn will allow new houses to better withstand the passage of time and natural disasters, in the safest way possible. This master thesis is intended to provide guiding principles to take towards housing recovery after natural disasters, particularly in the form of flood resilient construction, considering floods are responsible for the largest number of natural disasters. To this purpose, the main structures that house affected populations were identified and analyzed in depth. After assessing the risks and damages that flood events can cause in housing, a methodology was proposed for flood resilient housing models, in which there were identified key criteria that housing should meet. The same methodology is based in the US Federal Emergency Management Agency requirements and recommendations in accordance to specific flood zones. Finally, a case study in Maldives – one of the most vulnerable countries to sea level rise resulting from climate change – has been analyzed in light of housing recovery in a post-disaster induced scenario. This analysis was carried out by using the proposed methodology with the intent of assessing the resilience of the newly built housing to floods in the aftermath of the 2004 Indian Ocean Tsunami.
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The present Master dissertation is a project whose main objective is to identify value creation opportunities through fuel switching in the Portuguese industry, services, agriculture and fishing sectors. Fuel switching opportunities are characterized by type of fuel transition, type of technology transition, economy subsectors prone to have fuel switching and value created through fuel shift. Results suggest tomato concentrate, dairy, beer manufacturing and sugar refining subsectors is where prevalence of fuel oil steam boilers is high, for such cases conversion to natural gas steam boilers should result in operations having a ratio of NPV over CAPEX larger than ten and a payback period just under one year. Results further suggest food, beverages, textile, chemicals and wood subsectors currently operate between ten and twenty cogeneration Diesel engines that can be either modified to operate with natural gas or replaced by new natural gas cogeneration systems. Financial modeling indicates that both options have great value creation potential. The current analysis aims to be used by natural gas suppliers and energy project promoters to identify new potential deals as well as by heavy energy consumers to mitigate their energy related costs.
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During the last decade Mongolia’s region was characterized by a rapid increase of both severity and frequency of drought events, leading to pasture reduction. Drought monitoring and assessment plays an important role in the region’s early warning systems as a way to mitigate the negative impacts in social, economic and environmental sectors. Nowadays it is possible to access information related to the hydrologic cycle through remote sensing, which provides a continuous monitoring of variables over very large areas where the weather stations are sparse. The present thesis aimed to explore the possibility of using NDVI as a potential drought indicator by studying anomaly patterns and correlations with other two climate variables, LST and precipitation. The study covered the growing season (March to September) of a fifteen year period, between 2000 and 2014, for Bayankhongor province in southwest Mongolia. The datasets used were MODIS NDVI, LST and TRMM Precipitation, which processing and analysis was supported by QGIS software and Python programming language. Monthly anomaly correlations between NDVI-LST and NDVI-Precipitation were generated as well as temporal correlations for the growing season for known drought years (2001, 2002 and 2009). The results show that the three variables follow a seasonal pattern expected for a northern hemisphere region, with occurrence of the rainy season in the summer months. The values of both NDVI and precipitation are remarkably low while LST values are high, which is explained by the region’s climate and ecosystems. The NDVI average, generally, reached higher values with high precipitation values and low LST values. The year of 2001 was the driest year of the time-series, while 2003 was the wet year with healthier vegetation. Monthly correlations registered weak results with low significance, with exception of NDVI-LST and NDVI-Precipitation correlations for June, July and August of 2002. The temporal correlations for the growing season also revealed weak results. The overall relationship between the variables anomalies showed weak correlation results with low significance, which suggests that an accurate answer for predicting drought using the relation between NDVI, LST and Precipitation cannot be given. Additional research should take place in order to achieve more conclusive results. However the NDVI anomaly images show that NDVI is a suitable drought index for Bayankhongor province.