Modelagem e desenvolvimento de um banco de dados geográficos : aplicação à elaboração de mapas de sensibilidade ambiental ao derramamento de óleo na área costeira entre galinhos e São Bento do Norte-RN

The area between Galinhos and São Bento do Norte beaches, located in the northern coast of the Rio Grande do Norte State is submitted to intense and constant processes of littoral and aeolian transport, causing erosion, alterations in the sediments balance and modifications in the shoreline. Beyond these natural factors, the human interference is huge in the surroundings due to the Guamaré Petroliferous Pole nearby, the greater terrestrial oil producing in Brazil. Before all these characteristics had been organized MAMBMARE and MARPETRO projects with the main objective to execute the geo-environmental monitoring of coastal areas on the northern portion of RN. There is a bulky amount of database from the study area such as geologic and geophysical multitemporal data, hydrodynamic measurements, remote sensing multitemporal images, thematic maps, among others; it is of extreme importance to elaborate a Geographic Database (GD), one of the main components of a Geographic Information System (GIS), to store this amount of information, allowing the access to researchers and users. The first part of this work consisted to elaborate a GD to store the data of the area between Galinhos and São Bento do Norte cities. The main goal was to use the potentiality of the GIS as a tool to support decisions in the environmental monitoring of this region, a valuable target for oil exploration, salt companies and shrimp farms. The collected data was stored as a virtual library to assist men decisions from the results presented as digital thematic maps, tables and reports, useful as source of data in the preventive planning and as guidelines to the future research themes both on regional and local context. The second stage of this work consisted on elaborate the Oil-Spill Environmental Sensitivity Maps. These maps based on the Environmental Sensitivity Index Maps to Oil Spill developed by the Ministry of Environment are cartographic products that supply full information to the decision making, contingency planning and assessment in case of an oil spilling incident in any area. They represent the sensitivity of the areas related to oil spilling, through basic data such as geology, geomorphology, oceanographic, social-economic and biology. Some parameters, as hydrodynamic data, sampling data, coastal type, declivity of the beach face, types of resources in risk (biologic, economic, human or cultural) and the land use of the area are some of the essential information used on the environmental sensitivity maps elaboration. Thus using the available data were possible to develop sensitivity maps of the study area on different dates (June/2000 and December/2000) and to perceive that there was a difference on the sensitivity index generated. The area on December presented more sensible to the oil than the June one because hydrodynamic data (wave and tide energy) allowed a faster natural cleaning on June. The use of the GIS on sensitivity maps showed to be a powerful tool, since it was possible to manipulate geographic data with correctness and to elaborate more accurate maps with a higher level of detail to the study area. This presented an medium index (3 to 4) to the long shore and a high index (10) to the mangrove areas highly vulnerable to oil spill

Estudo da dinâmica costeira da região da foz do rio Piranhas-Açu para geração de mapas de sensibilidade do litoral ao derramamento de óleo

The study area is located in the northern coast of Rio Grande do Norte State comprising the mouth of Açu-Piranhas river including the cities of Porto do Mangue e Areia Branca. The local geological setting comprises Cretaceous, Tertiary and Quaternary geological units of the Potiguar Basin. One is about a region of high morphologic instability due to action of the rigorous dynamic coastal processes, beyond the intense human activities mainly for the performance of the petroliferous industry, salt farms and tanks of shrimp industry.For the accomplishment of this work Landsat 5 TM and Landsat 7 ETM + from four distinct dates were used as cartographic base, in which one applied techniques of digital processing to elaborate thematic maps of the existing natural resources to support the geologic and geomorphologic characterization and the soil and landuse maps. The strategy applied was the interpretation of multitemporal images from aerial and orbital remote sensors alIied to the terrain truth recognition, integrated through a Geographic Information System. These activities had alIowed the production of Sensitivity Maps of the Coast to Oil Spilling for the area, on the basis of the Coastal Sensibility Index. Taking into account the seasons were created maps to distinct datas: July 2003 represents the winter months that presented a sensibility lower when compared with the month of December 2003. For the summer months greater sensitivity is due to the hydrodynamic data that suggest a lesser capacity of natural cleanness of the oil and its derivatives in spilling case.These outcomes are an important and useful database to support an assessment to a risk situation and to taking decision in the face of an environmental disaster with oil spilling in coastal area, alIowing a complete visualization of the area and identifying all portions in the area with thei environmental units and respective Coastal Sensibility Index.

Desenvolvimento de um sistema computacional para geração automática de mapas de vulnerabilidade como ferramenta de auxílio às ações de prevenção ao derramamento de óleo em áreas costeiras

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

Sistema integrado para tomada de decisão espacial em situações de derramamento de óleo no litoral norte do Estado do RN

The northern coast of Rio Grande do Norte State (RN) shows areas of Potiguar basin with high activity in petroleum industry. With the goal of avoiding and reducing the accident risks with oil it is necessary to understand the natural vulnerability, mapping natural resources and monitoring the oil spill. The use of computational tools for environmental monitoring makes possible better analyses and decisions in political management of environmental preservation. This work shows a methodology for monitoring of environment impacts, with purpose of avoiding and preserving the sensible areas in oil contact. That methodology consists in developing and embedding an integrated computational system. Such system is composed by a Spatial Decision Support System (SDSS). The SDSS shows a computational infrastructure composed by Web System of Geo-Environmental and Geographic Information - SWIGG , the System of Environmental Sensibility Maps for Oil Spill AutoMSA , and the Basic System of Environmental Hydrodynamic ( SisBAHIA a System of Modeling and Numerical Simulating SMNS). In a scenario of oil spill occurred coastwise of Rio Grande do Norte State s northern coast, the integration of such systems will give support to decision agents for managing of environmental impacts. Such support is supplied through a system of supporting to spatial decisions

Reconhecimento e mapeamento dos ambientes costeiros para geração de mapas de ISA ao derramamento de óleo, Amazônia oriental

Acidentes relacionados ao transporte de petróleo constituem uma ameaça às zonas costeiras de todo o mundo, pois se trata de um evento ecologicamente desastroso podendo causar sérios danos ao meio ambiente. Na costa nordeste do Pará ocorre intenso fluxo de navios e balsas transportando petróleo e derivados, daí a necessidade de estabelecer estratégias de prevenção e gestão dos impactos ambientais ao derrame de óleo para elaboração de planos de emergência. O objetivo deste trabalho é gerar o mapa dos ambientes costeiros e o mapa de índice de sensibilidade ambiental ao derrame de óleo dos ambientes costeiros de uma porção da costa nordeste do Pará. A metodologia consistiu no processamento digital de imagens Landsat ETM+7, associadas aos dados do MDE do SRTM (shuttle radar topography mission) e aos dados de campo, em ambiente de SIG (sistema de informação geográfica). Os resultados permitiram o reconhecimento e a descrição de cinco unidades geomorfológicas e de ambientes sedimentares; identificação e hierarquização de nove índices de sensibilidade ambiental (ISA); além da geração do mapa de índice de sensibilidade ambiental ao derramamento de óleo. As técnicas de sensoriamento remoto e SIG mostraram ser importantes ferramentas no reconhecimento dos ambientes costeiros e geração dos mapas propostos.

Levantamento e análise de técnicas utilizadas nas operações de emergência de derramamento de óleo em ambientes costeiros e fluviais

This present paper aims to identify the main response techniques for coastal and fluvial environments and analyze impacts on the application of these techniques. The literature review allowed us to understand since the establishment of first environmental sensitivity index map, in coastal and fluvial environment, until the possible impacts generated by the application of cleanup techniques in both environments. Studies related to freshwater environment are less common compared to coastal environment. For both environments the same techniques may be employed, as well as containment and recovery, or removal of oil in the affected areas. The most serious environmental impacts generated are due to the poor choice of technique to be applied or the lack of training of the cleaning crews. In Deepwater Horizon accident, Gulf of Mexico, 2010, application of dispersants, resulted in a mixture of oil and dispersing 52 times more toxic than the oil itself. In Brazil, the technique of vegetation removal by the cleaning staff in the accident on the river Guaecá, 2004, resulted in unnecessary elimination of vegetation, increasing the volume of waste. It was concluded that the freshwater environment often suffer more impacts by applying the techniques, once is necessary to access the banks, which normally have more vegetation and organisms than shoreline of coastal environment

Avaliação da toxicidade do mangue de Bertioga, Cubatão-SP, em decorrência de derramamento de óleo, utilizando o microcrustáceo Artemia salina como bioindicador.

Sedimentos de mangue contaminados ou não com produtos derivados do petróleo foram avaliados quanto à sua toxicidade. De todos os parâmetros que determinam qualidade do solo, os testes toxicológicos usando microcrustáceos vivos como bioindicador são os mais adequados em virtude de suas sensibilidades a componentes químicos e tóxicos do ambiente. Para que estratégias de recuperação de áreas degradadas sejam adotadas é importante que se conheça a extensão dos distúrbios provocados no ecossistema através desses testes. Os maiores valores de mortalidade foram encontrados nas áreas contaminadas, no ponto de transição, utilizando 100g de sedimento. No mangue não contaminado com óleo não houve mortalidade em nenhuma das áreas, independentemente dos métodos utilizados.

Atividade microbiana e enzimática em sedimentos de manguezais contaminados ou não com derramamento de óleo.

Sedimentos de mangue contaminados ou não com produtos derivados do petróleo foram avaliados quanto à atividade microbiana e enzimática. Os maiores valores de C da biomassa microbiana foram obtidos nas áreas mais próximas ao mar, independentemente da contaminação. Os valores obtidos foram, em média, 73% maiores do que o observado para a área mais longe do mar. Os sedimentos da área contaminada não apresentaram menores valores de Cmic/Corg e nem maiores valores de qCO2 o que demonstra o desenvolvimento de uma população de microrganismos bem adaptada às condições reinantes. É interessante que trabalhos posteriores estudem a diversidade destes microrganismos e o possível impacto que estas mudanças poderiam causar no caso de se adotar estratégias para recuperação desta área.

Atividade microbiana e enzimática em sedimentos de manguezais contaminados ou não com derramamento de óleo.

2008

Sistema inteligente para detecção de manchas de óleo na superfície marinha através de imagens de SAR

Oil spill on the sea, accidental or not, generates enormous negative consequences for the affected area. The damages are ambient and economic, mainly with the proximity of these spots of preservation areas and/or coastal zones. The development of automatic techniques for identification of oil spots on the sea surface, captured through Radar images, assist in a complete monitoring of the oceans and seas. However spots of different origins can be visualized in this type of imaging, which is a very difficult task. The system proposed in this work, based on techniques of digital image processing and artificial neural network, has the objective to identify the analyzed spot and to discern between oil and other generating phenomena of spot. Tests in functional blocks that compose the proposed system allow the implementation of different algorithms, as well as its detailed and prompt analysis. The algorithms of digital image processing (speckle filtering and gradient), as well as classifier algorithms (Multilayer Perceptron, Radial Basis Function, Support Vector Machine and Committe Machine) are presented and commented.The final performance of the system, with different kind of classifiers, is presented by ROC curve. The true positive rates are considered agreed with the literature about oil slick detection through SAR images presents

Aplicação da parafina e do óleo de linhaça como hidrofobizantes da vermiculita, para remoção de derivados de óleo diesel resentes em água produzida sintética

Produced water has lately aroused interest due to their high degree of salinity, suspended oil particles, chemicals added in various manufacturing processes, heavy metals and radioactivity sometimes. Along with oil and due to its high volume production, water production is one of the pollutants of most concern in the process of oil extraction. PAHs due to their ubiquity and their characteristics carcinogenic or mutagenic and teratogenic even have attracted the attention of every scientific society. Formed from the incomplete combustion of organic matter may be natural or anthropogenic. Some materials have been researched with the goal of cleaning up environmental matrices that may be contaminated by hydrocarbons. Among these materials researched various clays have been employed, of which highlights the vermiculite. The family of phyllosilicates, vermiculite for its potential and its high hydrophobic surface area has been a tool widely used in the decontamination of water in processes of oil spills. However, when it loses its capacity expanded hydrophobic having the necessity of using a hidrofobizante to make it organophilic. Among the numerous hidrofobizantes researched and used the linseed oil was the pioneer. In this study sought to evaluate the capacity of removal of PAHs using the vermiculite hydrofobized with linseed oil and wax also, for it was made use of the 24 full factorial design as the main tool for the experiments. We also evaluated the clay grain size (-20 +48 and -48 +80 #), the percentage of hidrofobizante applied (5 and 10%) and salinity of the water produced synthesized in our laboratory (35,000 and 55,000 ppm). The molecular fluorescence spectroscopy due to its sensitivity and speed was used to verify the adsorption capacity of clay, as well as gas chromatography served as an auxiliary technique to identify and quantify the PAHs in solution. In order to characterize the vermiculite was made use of X-ray fluorescence and X-ray diffraction. The infrared and thermogravimetry were essential to note hydrophobization and the amount of coating of clay. According to the fluorescence analysis showed that the test 12 was the best result in about 98% adsorption of fluorescent compounds, however the high salinity, the smallest particle size, the highest percentage of hidrofobizante and the use of linseed oil showed greater efficiency in the removal capacity of these hydrocarbons, in accordance with the trend followed by the analysis of the major factors of the factorial design. To verify the adsorption capacity of clay using a fixed volume of water produced synthetically, used as the test base 12, at their respective levels and factors. Thus, it was observed that after adding about 1 ½ liters of water solution produced synthetically, about 300 times its volume in mass, the vermiculite was able to adsorb 80% of fluorescent species present in solution

Aplicação do Sensoriamento Remoto e do Sistema de Informações Geográficas na Detecção de Manchas de Óleo na Região do Pólo de Exploração de Guamaré, R.N.

Objective to establish a methodology for the oil spill monitoring on the sea surface, located at the Submerged Exploration Area of the Polo Region of Guamaré, in the State of Rio Grande do Norte, using orbital images of Synthetic Aperture Radar (SAR integrated with meteoceanographycs products. This methodology was applied in the following stages: (1) the creation of a base map of the Exploration Area; (2) the processing of NOAA/AVHRR and ERS-2 images for generation of meteoceanographycs products; (3) the processing of RADARSAT-1 images for monitoring of oil spills; (4) the integration of RADARSAT-1 images with NOAA/AVHRR and ERS-2 image products; and (5) the structuring of a data base. The Integration of RADARSAT-1 image of the Potiguar Basin of day 21.05.99 with the base map of the Exploration Area of the Polo Region of Guamaré for the identification of the probable sources of the oil spots, was used successfully in the detention of the probable spot of oil detected next to the exit to the submarine emissary in the Exploration Area of the Polo Region of Guamaré. To support the integration of RADARSAT-1 images with NOAA/AVHRR and ERS-2 image products, a methodology was developed for the classification of oil spills identified by RADARSAT-1 images. For this, the following algorithms of classification not supervised were tested: K-means, Fuzzy k-means and Isodata. These algorithms are part of the PCI Geomatics software, which was used for the filtering of RADARSAT-1 images. For validation of the results, the oil spills submitted to the unsupervised classification were compared to the results of the Semivariogram Textural Classifier (STC). The mentioned classifier was developed especially for oil spill classification purposes and requires PCI software for the whole processing of RADARSAT-1 images. After all, the results of the classifications were analyzed through Visual Analysis; Calculation of Proportionality of Largeness and Analysis Statistics. Amongst the three algorithms of classifications tested, it was noted that there were no significant alterations in relation to the spills classified with the STC, in all of the analyses taken into consideration. Therefore, considering all the procedures, it has been shown that the described methodology can be successfully applied using the unsupervised classifiers tested, resulting in a decrease of time in the identification and classification processing of oil spills, if compared with the utilization of the STC classifier

Estabelecimento de um índice de sensibilidade ambiental ao óleo em ambientes fluviais, com o suporte da ferramenta MORPH

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Carta de sensibilidade ambiental para derramamentos de óleo em rodovias: proposta aplicada a Estrada dos Tamoios (SP-099)

Pós-graduação em Geociências e Meio Ambiente - IGCE

Risco tecnológico: uma análise do porto de Vila do Conde como área potencial de ameaça ao vazamento de óleo para comunidades em situação de vulnerabilidade

O presente trabalho foi realizado em Vila do Conde, município de Barcarena que faz parte da mesorregião de Belém do Pará, com objetivo de estudar o risco de natureza tecnológica relacionado ao vazamento de óleo, apontando as reais situações de ameaça e a vulnerabilidade da população local. A metodologia baseou-se em três etapas: levantamento bibliográfico sobre o conceito de risco tecnológico; trabalho de campo para a identificação e caracterização das áreas de ameaça na zona portuária e da área de Vulnerabilidade na Vila do Conde através de visitas técnicas, entrevistas, aplicação de questionários, para o levantamento socioeconômico, observações e registros fotográficos; e por fim levantamento cartográfico e utilização de imagens de satélite IKONOS para delimitação das áreas de ameaça no porto, setorização da Vila do Conde e para a confecção de mapas temáticos. Na zona portuária de Vila do Conde identificamos como principais áreas de ameaça ao vazamento: Área de atracação, onde a prática de acostagem, carga, descarga e abastecimento de navios e balsas com óleo combustível é constante, apresentando nível de ameaça que vai de muito a extremamente provável de ocorrer; Área de acesso, delimitada pela ponte por onde percorre os dutos, apresentando nível de ameaça como provável de ocorrer vazamento e a Área de estocagem, onde concentra os tanques de armazenamento e plataformas de abastecimento apresentando nível de ameaça que vai do provável a muito provável de ocorrer vazamento. Na Vila do Conde a vulnerabilidade social apontou que a população do setor rio, na maioria pescadores, apresenta maior grau de vulnerabilidade, seguido pelos moradores do setor praia, como donos de barracas, que apresentam médio grau de vulnerabilidade, e com baixo grau de vulnerabilidade estão os moradores do setor terra firme. Portanto, um sinistro com óleo acarretará uma reação que ira se difundir em toda a Vila, interrompendo os principais fluxos de troca entre os grupos e suas respectivas atividades.