Catástrofes naturais em saúde pública : impactos e planos de emergência : caso de estudo : São Miguel-Açores

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.

Flood resilient housing recovery models: a theoretical case study in Maldives

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.

Fuel switching

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.

Assessment of NDVI, land surface temperature and precipitation anomalies for drought monitoring in Bayankhongor province, Mongolia

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.

Geospatial database generation from digital newspapers: use case for risk and disaster domains.

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Natural antioxidants extraction and their incorporation into model pharmaceutical systems

Dissertation to obtain a Master Degree in Biotechnology

Modelação do risco de incêndio florestal com redes neuronais artificiais: aplicação ao Parque Natural de Montesinho

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica

Assessing the balance between biodiversity conservation and coastal and estuarine management of the Sado Estuary Natural Reserve, Portugal, using BIO-SAFE

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia do Ambiente, perfil de Engenharia Ecológica

Functional characterization and directed engineering of redox proteins for a rational improvement of Bioelectrochemical systems

In recent years, new methods of clean and environmentally friendly energy production have been the focus of intense research efforts. Microbial fuel cells (MFCs) are devices that utilize naturally occurring microorganisms that feed on organic matter, like waste water, while producing electrical energy. The natural habitats of bacteria thriving in microbial fuel cells are usually marine and freshwater sediments. These microorganisms are called dissimilatory metal reducing bacteria (DMRB), but in addition to metals like iron and manganese, they can use organic compounds like DMSO or TMAO, radionuclides and electrodes as terminal electron acceptors in their metabolic pathways.(...)