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

Structure, properties and applications of rhamnolipids produced by Pseudomonas aeruginosa L2-1 from cassava wastewater

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Comparison of the population structure of the fiddler crab Uca vocator (Herbst, 1804) from three subtropical mangrove forests

The population structure of U. vocator was investigated during a one-year period in three mangrove forests in southeast Brazil. The study specifically addressed comparisons on individual size juvenile recruitment and sex-ratio. The structure of the mangrove forests, i.e. density, basal area, and diameter, and the physical properties of sediments. i.e. texture and organic matter contents, were also examined. A catch-per-unit-effort (CPUE) technique was used to sample the crab populations using 15-min sampling periods by two people. Males always outnumbered females, probably due to ecological and behavioural attributes of these crabs. The median size of fiddler crabs differed among the sampled populations. The mangroves at Indaiá and Itamambuca showed higher productivity than those at Itapanhaú, where oil spills impacting the shore were reported. Marked differences were found regarding individual size, either their size at the onset of sexual maturity or their asymptotic size, suggesting that food availability may be favouring growth in the studied populations.

Ultra-structural mapping of sugarcane bagasse after oxalic acid fiber expansion (OAFEX) and ethanol production by Candida shehatae and Saccharomyces cerevisiae

Background: Diminishing supplies of fossil fuels and oil spills are rousing to explore the alternative sources of energy that can be produced from non-food/feed-based substrates. Due to its abundance, sugarcane bagasse (SB) could be a model substrate for the second-generation biofuel cellulosic ethanol. However, the efficient bioconversion of SB remains a challenge for the commercial production of cellulosic ethanol. We hypothesized that oxalic-acid-mediated thermochemical pretreatment (OAFEX) would overcome the native recalcitrance of SB by enhancing the cellulase amenability toward the embedded cellulosic microfibrils. Results: OAFEX treatment revealed the solubilization of hemicellulose releasing sugars (12.56 g/l xylose and 1.85 g/l glucose), leaving cellulignin in an accessible form for enzymatic hydrolysis. The highest hydrolytic efficiency (66.51%) of cellulignin was achieved by enzymatic hydrolysis (Celluclast 1.5 L and Novozym 188). The ultrastructure characterization of SB using scanning electron microscopy (SEM), atomic force microscopy (AFM), Raman spectroscopy, Fourier transform-near infrared spectroscopy (FT-NIR), Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD) revealed structural differences before and after OAFEX treatment with enzymatic hydrolysis. Furthermore, fermentation mediated by C. shehatae UFMG HM52.2 and S. cerevisiae 174 showed fuel ethanol production from detoxified acid (3.2 g/l, yield 0.353 g/g; 0.52 g/l, yield, 0.246 g/g) and enzymatic hydrolysates (4.83 g/l, yield, 0.28 g/g; 6.6 g/l, yield 0.46 g/g). Conclusions: OAFEX treatment revealed marked hemicellulose degradation, improving the cellulases ability to access the cellulignin and release fermentable sugars from the pretreated substrate. The ultrastructure of SB after OAFEX and enzymatic hydrolysis of cellulignin established thorough insights at the molecular level. © 2013 Chandel et al; licensee BioMed Central Ltd.

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)

Mapeamento de sensibilidade ambiental ao óleo do arquipélago de Ilha Bela - SP

Pós-graduação em Geociências e Meio Ambiente - IGCE

Mapeamento de sensibilidade ao derrame de óleo dos ambientes costeiros dos municípios de São Vicente, Santos e Guarujá - SP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mapeamento de sensibilidade ambiental a derramentos de petróleo do sistema estuarino de Santos, estado de São Paulo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Mapeamento de sensibilidade ambiental a derramamentos de óleo na região costeira de Bertioga - SP

Pós-graduação em Geociências e Meio Ambiente - IGCE

O 222Rn em área contaminada por hidrocarbonetos na região de Santa Bárbara D'Oeste (SP)

Pós-graduação em Geologia Regional - IGCE

Avaliação de desempenho de fibras lignocelulósicas na sorção de óleos diesel e biodiesel

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

O sistema estuarino do Delta do São Francisco-SE: análise ambiental com base no estudo de foraminíferos e tecamebas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A sensibilidade do lugar: uma proposta metodológica para aplicação da percepção ambiental nos planos de emergência a derrames de óleo

Pós-graduação em Geografia - IGCE

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.