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Previous issue date: 2010-05-14 / The northern portion of the Rio Grande do Norte State is characterized by intense coastal dynamics affecting areas with ecosystems of moderate to high environmental sensitivity. In this region are installed the main socioeconomic activities of RN State: salt industry, shrimp farm, fruit industry and oil industry. The oil industry suffers the effects of coastal dynamic action promoting problems such as erosion and exposure of wells and pipelines along the shore. Thus came the improvement of such
modifications, in search of understanding of the changes which causes environmental impacts with the purpose of detecting and assessing areas with greater vulnerability to variations. Coastal areas under influence oil industry are highly vulnerable and sensitive in case of accidents involving oil spill in the vicinity. Therefore, it was established the geoenvironmental monitoring of the region with the aim of evaluating the entire coastal area evolution and check the sensitivity of the site on the presence of oil. The goal of this work was the implementation of a computer system that combines the needs of insertion and visualization of thematic maps for the generation of Environmental Vulnerability maps, using techniques of Business Intelligence (BI), from vector information previously stored in the database. The fundamental design
interest was to implement a more scalable system that meets the diverse fields of study and make the appropriate system for generating online vulnerability maps, automating the methodology so as to facilitate data manipulation and fast results in cases of real time operational decision-making. In database development a geographic area was established the conceptual model of the selected data and Web system was done using the template database PostgreSQL, PostGis spatial extension, Glassfish Web server and the viewer maps Web environment, the GeoServer. To develop a geographic database it was necessary to generate the conceptual model of the selected data and the Web system development was done using the PostgreSQL database system, its spatial extension PostGIS, the web server Glassfish and GeoServer to display maps in Web / A por??o setentrional do Estado do Rio Grande do Norte ? caracterizada por intensa din?mica costeira afetando ?reas com ecossistemas de alta sensibilidade ambiental. Nessa regi?o est?o instaladas as principais atividades socioecon?micas do
Estado: ind?stria salineira, carcinicultura, fruticultura e ind?stria petrol?fera. A ind?stria petrol?fera sofre os percal?os da a??o da din?mica costeira que acarretada problemas como a eros?o e a exposi??o dos po?os e dutos instalados ao longo da faixa
de praia. Deste modo, surgiu o ordenamento de tais modifica??es, na busca do entendimento das mudan?as geradoras de agress?es ao meio ambiente, em estudos sobre os impactos ambientais com o prop?sito de detectar e avaliar as ?reas com a maior vulnerabilidade ?s modifica??es. As ?reas costeiras sob influ?ncia petrol?fera se apresentam altamente vulner?veis e sens?veis em caso de acidentes com derramamento
de ?leo nas proximidades. Portanto, foi estabelecido o monitoramento geoambiental da regi?o com o objetivo de avaliar toda a evolu??o costeira da ?rea e verificar a sensibilidade do local diante da presen?a do ?leo. O objetivo desse trabalho foi a implementa??o de um sistema computacional que atenda as necessidades de inser??o e visualiza??o de mapas tem?ticos para a gera??o, utilizando t?cnicas de Business Intelligence (BI), de Mapas de Vulnerabilidade Ambiental a partir de informa??es vetoriais previamente armazenadas no banco de
dados. O interesse b?sico do projeto foi implementar um sistema mais escal?vel que atenda a diversas ?reas de estudo e tornar o sistema apropriado para gera??o on-line dos mapas de vulnerabilidade, automatizando a metodologia de forma a facilitar a manipula??o de dados e agilizar a obten??o de resultados em casos de tomadas de decis?es operacionais em tempo real. No desenvolvimento do banco de dados geogr?ficos foi estabelecido o modelo conceitual dos dados selecionados e o sistema Web foi feito usando o modelo de banco de dados PostgreSQL, sua extens?o espacial PostGis, o servidor web Glassfish e o visualizador de mapas em ambiente Web, o
GeoServer
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/18805 |
| Date | 14 May 2010 |
| Creators | Freitas, Charles Cesar Magno de |
| Contributors | CPF:35385839191, http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783253A6, Vital, Helenice, CPF:31481981404, http://lattes.cnpq.br/3595069999049968, Amaro, Venerando Eust?quio |
| Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Geodin?mica e Geof?sica, UFRN, BR, Geodin?mica; Geof?sica |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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