187 resultados para Geographic Information System (GIS)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Ciências Cartográficas - FCT
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Geociências e Meio Ambiente - IGCE
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Engenharia Mecânica - FEG
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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In different regions of Brazil, population growth and economic development can degrade water quality, compromising watershed health and human supply. Because of its ability to combine spatial and temporal data in the same environment and to create water resources management (WRM) models, the Geographical Information System (GIS) is a powerful tool for managing water resources, preventing floods and estimating water supply. This paper discusses the integration between GIS and hydrological models and presents a case study relating to the upper section of the Paraíba do Sul Basin (Sao Paulo State portion), situated in the Southeast of Brazil. The case study presented in this paper has a database suitable for the basin's dimensions, including digitized topographic maps at a 50,000 scale. From an ArcGIS®/ArcHydro Framework Data Model, a geometric network was created to produce different raster products. This first grid derived from the digital elevation model grid (DEM) is the flow direction map followed by flow accumulation, stream and catchment maps. The next steps in this research are to include the different multipurpose reservoirs situated along the Paraíba do Sul River and to incorporate rainfall time series data in ArcHydro to build a hydrologic data model within a GIS environment in order to produce a comprehensive spatial-temporal model.
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With increasing frequency and intensity of climate disasters in Brazil, it is necessary studies on mitigation measures. From this spatialization of areas considered risk becomes essential to assist the public in preventive plans. Floods and flooding are the main types of climatic disasters that hit our country, especially the state of Sao Paulo, mainly by self degree of urbanization. From the data provided by the State Civil Defense was possible to create a database with the localities georelacional occurrences of flooding in the state in which through techniques of GIS (Geographic Information System) enabled the interrelationship and spatialization occurrence of areas affected This will help to determine potential areas of risk and different ways to prevent these disasters
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Considering current technological progresses, they prove to be useful tools to be increasingly exploited in order to meet the population's needs. Generally, in Brazil, the Mobile Emergency Services (SAMU) tend to be limited to the management of incidents, which undermines the efficiency of these bodies. In this context, this final dissertation aims to present the use of Geographic Information Systems (GIS) for the SAMU in the cities of Feira de Santana BA and Rio Claro SP, integrating occurrences data related to trauma by cold weapon injuries, injury by gun, and assaults, in the period 2012-2013, as well as census data. The study was developed in stages that included obtaining data related to trauma events linked to urban violence, and statistical Census data (2010), provided by the Brazilian Institute of Geography and Statistics (IBGE). Regarding the GIS, the free software Quantum GIS (QGIS) was adopted for processing and spatializing data, assuming the districts as units of study, in the urban area of the cities analyzed. The resulting research products were presented in thematic maps format, which conducted to a comparative analysis of the occurrences related to traumas. The achieved results were satisfactory, and a database in GIS was developed, integrating occurrences data by Cold Weapon Injuries (FAB), Injury by Gun (FAF) and Assaults with census data, allowing the proper use and update of the system. Making a comparative analysis between the two cities, it was possible to establish that Rio Claro presents more occurrences when it comes to FAF, FAB and Aggression recorded at SAMU per 100,000 inhabitants than Feira de Santana. Thus, although Rio Claro's population is about three times smaller than Feira de Santana's, it can be said that Rio Claro is a more violent city, considering the factors analyzed. It is possible to infer that the use of GIS applied to the SAMU in medium-sized cities is feasible, and it has the advantage...