Environmental data management in the Sado Estuary

Estuaries are perhaps the most threatened environments in the coastal fringe; the coincidence of high natural value and attractiveness for human use has led to conflicts between conservation and development. These conflicts occur in the Sado Estuary since its location is near the industrialised zone of Peninsula of Setúbal and at the same time, a great part of the Estuary is classified as a Natural Reserve due to its high biodiversity. These facts led us to the need of implementing a model of environmental management and quality assessment, based on methodologies that enable the assessment of the Sado Estuary quality and evaluation of the human pressures in the estuary. These methodologies are based on indicators that can better depict the state of the environment and not necessarily all that could be measured or analysed. Sediments have always been considered as an important temporary source of some compounds or a sink for other type of materials or an interface where a great diversity of biogeochemical transformations occur. For all this they are of great importance in the formulation of coastal management system. Many authors have been using sediments to monitor aquatic contamination, showing great advantages when compared to the sampling of the traditional water column. The main objective of this thesis was to develop an estuary environmental management framework applied to Sado Estuary using the DPSIR Model (EMMSado), including data collection, data processing and data analysis. The support infrastructure of EMMSado were a set of spatially contiguous and homogeneous regions of sediment structure (management units). The environmental quality of the estuary was assessed through the sediment quality assessment and integrated in a preliminary stage with the human pressure for development. Besides the earlier explained advantages, studying the quality of the estuary mainly based on the indicators and indexes of the sediment compartment also turns this methodology easier, faster and human and financial resource saving. These are essential factors to an efficient environmental management of coastal areas. Data management, visualization, processing and analysis was obtained through the combined use of indicators and indices, sampling optimization techniques, Geographical Information Systems, remote sensing, statistics for spatial data, Global Positioning Systems and best expert judgments. As a global conclusion, from the nineteen management units delineated and analyzed three showed no ecological risk (18.5 % of the study area). The areas of more concern (5.6 % of the study area) are located in the North Channel and are under strong human pressure mainly due to industrial activities. These areas have also low hydrodynamics and are, thus associated with high levels of deposition. In particular the areas near Lisnave and Eurominas industries can also accumulate the contamination coming from Águas de Moura Channel, since particles coming from that channel can settle down in that area due to residual flow. In these areas the contaminants of concern, from those analyzed, are the heavy metals and metalloids (Cd, Cu, Zn and As exceeded the PEL guidelines) and the pesticides BHC isomers, heptachlor, isodrin, DDT and metabolits, endosulfan and endrin. In the remain management units (76 % of the study area) there is a moderate impact potential of occurrence of adverse ecological effects and in some of these areas no stress agents could be identified. This emphasizes the need for further research, since unmeasured chemicals may be causing or contributing to these adverse effects. Special attention must be taken to the units with moderate impact potential of occurrence of adverse ecological effects, located inside the natural reserve. Non-point source pollution coming from agriculture and aquaculture activities also seem to contribute with important pollution load into the estuary entering from Águas de Moura Channel. This pressure is expressed in a moderate impact potential for ecological risk existent in the areas near the entrance of this Channel. Pressures may also came from Alcácer Channel although they were not quantified in this study. The management framework presented here, including all the methodological tools may be applied and tested in other estuarine ecosystems, which will also allow a comparison between estuarine ecosystems in other parts of the globe.

Traceability support in software product lines

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Informática.

Dpws middleware to support agent-based manufacturing control and simulation

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

A high level e-maintenance architecture to support on-site teams

Emergent architectures and paradigms targeting reconfigurable manufacturing systems increasingly rely on intelligent modules to maximize the robustness and responsiveness of modern installations. Although intelligent behaviour significantly minimizes the occurrence of faults and breakdowns it does not exclude them nor can prevent equipment’s normal wear. Adequate maintenance is fundamental to extend equipments’ life cycle. It is of major importance the ability of each intelligent device to take an active role in maintenance support. Further this paradigm shift towards “embedded intelligence”, supported by cross platform technologies, induces relevant organizational and functional changes on local maintenance teams. On the one hand, the possibility of outsourcing maintenance activities, with the warranty of a timely response, through the use of pervasive networking technologies and, on the other hand, the optimization of local maintenance staff are some examples of how IT is changing the scenario in maintenance. The concept of e-maintenance is, in this context, emerging as a new discipline with defined socio-economic challenges. This paper proposes a high level maintenance architecture supporting maintenance teams’ management and offering contextualized operational support. All the functionalities hosted by the architecture are offered to the remaining system as network services. Any intelligent module, implementing the services’ interface, can report diagnostic, prognostic and maintenance recommendations that enable the core of the platform to decide on the best course of action.

Self-organization and complexity theory to support evolvable production systems

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Collaborative environment to support a professional community

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Analysis of support for modularity in object teams based on design patterns

Dissertação de Mestrado em Engenharia Informática

Real time mobile system for support in firefighting environments

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Web GIS to support irrigation management: a prototype for SAGRA network, Alentejo Portugal

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

An ontology to support evolvable production systems

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Algorithms and methodologies for decision support in energy efficiency on buildings

Dissertação apresentada na faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Georeferencing Road Accidents with Google Earth: Transforming Information into Knowledge for Decision Support

Over the last fifty years mobility practices have changed dramatically, improving the way travel takes place, the time it takes but also on matters like road safety and prevention. High mortality caused by high accident levels has reached untenable levels. But the research into road mortality stayed limited to comparative statistical exercises which go no further than defining accident types. In terms of sharing information and mapping accidents, little progress has been mad, aside from the normal publication of figures, either through simplistic tables or web pages. With considerable technological advances on geographical information technologies, research and development stayed rather static with only a few good examples on dynamic mapping. The use of Global Positioning System (GPS) devices as normal equipments on automobile industry resulted in a more dynamic mobility patterns but also with higher degrees of uncertainty on road traffic. This paper describes a road accident georeferencing project for the Lisbon District involving fatalities and serious injuries during 2007. In the initial phase, individual information summaries were compiled giving information on accidents and its majour characteristics, collected by the security forces: the Public Safety Police Force (Polícia de Segurança Pública - PSP) and the National Guard (Guarda Nacional Republicana - GNR). The Google Earth platform was used to georeference the information in order to inform the public and the authorities of the accident locations, the nature of the location, and the causes and consequences of the accidents. This paper also gives future insights about augmented reality technologies, considered crucial to advances to road safety and prevention studies. At the end, this exercise could be considered a success because of numerous consequences, as for stakeholders who decide what to do but also for the public awareness to the problem of road mortality.

Intelligent decision support systems for collaboration in industrial plants

Dissertação apresentada para obtenção do Grau de Doutor em Sistemas de Informação Industriais, Engenharia Electrotécnica, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Sobrecarga vivenciada por familiares cuidadores de pacientes esquizofrénicos e sua relação com a depressão

RESUMO: A partir da desinstitucionalização psiquiátrica, a ênfase nas políticas públicas de saúde mental passou para os serviços comunitários e para períodos mais curtos de hospitalização. As famílias, então, tornaram-se as principais provedoras de cuidados cotidianos e de apoio aos pacientes. As dificuldades e o despreparo em assumir este novo papel têm gerado um sentimento de sobrecarga nos familiares, o que pode afetar sua saúde física e mental. Vários estudos investigaram as consequências de se tornar um cuidador de um paciente psiquiátrico, mas poucos pesquisaram o impacto na saúde mental desses cuidadores. A presente pesquisa investigou a relação entre a sobrecarga e a saúde mental dos familiares cuidadores de pacientes psiquiátricos. Participaram deste estudo 74 familiares cuidadores de pacientes com diagnóstico de esquizofrenia, atendidos no ambulatório do Serviço de Referência em Saúde Mental, da cidade de Divinópolis, MG. Os familiares participaram de uma entrevista estruturada. Nela foram aplicadas a Escala de Avaliação da Sobrecarga dos Familiares de Pacientes Psiquiátricos (FBIS-BR) e, para avaliar a saúde mental dos cuidadores, a Escala de Depressão de Beck (BDI). Foram realizadas análises estatísticas descritivas, univariadas e multivariadas. Os resultados mostraram que a maioria dos cuidadores era do sexo feminino (78,40%), pais (62,20%) e com idade média de 59,14 anos. Os cuidadores apresentaram uma média de sobrecarga global objetiva de 2,05 (DP ± 0,54), em uma escala de 1 a 5 pontos, e uma média de sobrecarga global subjetiva de 2,44 (DP ± 0,71), em uma escala de 1 a 4 pontos. Os resultados da escala BDI mostraram que 42 cuidadores poderiam ser classificados com depressão mínima (56,80%), 17 com depressão leve (23,00%), 7 com depressão moderada (9,50%) e 8 com depressão grave (10,80%). Foram encontradas correlações positivas significativas entre o grau de sobrecarga global e das subescalas e o nível de depressão. As análises multivariadas mostraram que o principal preditor de depressão dos cuidadores foi a sobrecarga global subjetiva. Outros preditores foram a obrecarga objetiva das rotinas diárias e da supervisão dos comportamentos problemáticos dos pacientes e a sobrecarga subjetiva das preocupações com o paciente. As informações levantadas mostraram o impacto do papel de cuidador na saúde mental dos familiares e apontaram para a necessidade de uma maior atenção, por parte dos gestores e profissionais da área, aos cuidadores de pacientes psiquiátricos.----------ABSTRACT: The emphasis in public policy on mental health was transferred to community services and for shorter periods of hospitalization from the psychiatric deinstitutionalization. Then the families become the first provider of daily care and support to patients. The difficulties and unprepared to assume this new role has generated a sense of overload in the relatives, which can affect your physical and mental health. Several studies have investigated the consequences of becoming a caregiver of a psychiatric patient, but few scholars have researched the impact on the mental health of caregivers. The present study has investigated the relationship between overload and mental health of family caregivers of psychiatric patients. The study included 74 family caregivers of patients with schizophrenia and outpatient clinic of the Department of Mental Health Reference, in Divinópolis, Minas Gerais, Brazil. The Rating Scale Burden of Relatives of Psychiatric Patients and the scale of Beck Depression Inventory (BDI) to assess the mental health of caregivers were applied in the interview. Descriptive statistics and univariate and multivariate analysis have performed. The results showed that the majority of caregivers were female (78.40%), parents (62.20%) and mean age of 59.14 years. The caregivers had an average burden overall objective of 2.05 (± 0.54) on a scale of 1 to 5 points, and a subjective global average burden of 2.44 (± 0.71) in a scale of 1 to 4 points. The results of the BDI showed that 42 caregivers could be classified with minimal depression (56.80%), 17 with mild depression (23.00%), 7 with moderate depression (9.50%) and 8 with severe depression (10 80%). Significant positive correlations were found between the degree of overloading and global subscales and depression levels. Multivariate analysis showed that the main predictor of caregivers' depression was the global subjective burden. Other predictors were the objective burden of daily routines and supervision of problem behaviors of patients and subjective burden of the concerns about patient. The resulting information showed the impact of caregiver role in the mental health of relatives and pointed to the need for higher attention of managers and professionals to caregivers of psychiatric patients.

Municipal solid waste management system: decision support through systems analysis

Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental Engineering