Navegando por Autor "RODRIGUES, Suzan Waleska Pequeno"

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Acesso aberto (Open Access)
Detecção de mudança e sedimentação no estuário do Rio Coreaú
(Universidade Federal do Pará, 2014-09-02) RODRIGUES, Suzan Waleska Pequeno; SOUZA FILHO, Pedro Walfir Martins e; http://lattes.cnpq.br/3282736820907252
The use of new techniques to study the evolution and filling incised valleys has provided, over the years, important results was to understand how the coastal evolution of the Brazilian coastal zone. In this context, this thesis aimed to study the evolution of the estuary Coreaú River, located in the state of Ceará, in different time scales, is "Possible" (months, years), "Engineering" (years, decades) and "Geology" (hundreds, centuries, millennio), proposed by Cowell et al (2003), with the goal to assess whether changes /alterations over the years were significant or not in the estuary. As a result, we obtained the first goal, using remote sensing techniques from image sensor TM, ETM+ and OLI of Landsat 5, 7 and 8 and sensor LISS-3 of satellite ResourceSat-1 from 1985 to 2013, a change minimal in relation to morphological changes along the estuary in the last 28 years (between Possible scales and Engineering), there was an increase in this period of 0.236 km2 (3%) of the area, not bringing significant changes to the estuary. Regarding sedimentation rate, corresponding to the second goal, from the collection of nine witnesses, up to 1m deep and using radionuclídeo 210 Pb along the estuary, we obtained a rate that ranged from 0,33 cm/year 1 cm/year (between scales Geological and Engineering) near the mouth of the estuary, and with a quick sedimentation perceived on the east bank of the river, where there are younger sediments toward the west margin. Regarding the fulfillment, third and final goal from the sampling of testimonials to 18 m depth, using the sampler Rammkernsonden (RKS), profiles and stratigraphic sections that helped understand filling the valley section of the estuary of the Coreaú river were generated and that it is a fluvialmarine estuary, filling the valleys formed in group Barriers in the last 10.000 years before present. These analyzes and results serve as a basis for comparison with other estuaries, either fluvial, fluvio-marine or marine, to better understand what the possible events that dominated sedimentation along the coast of Brazil at diferent scales.
Acesso aberto (Open Access)
Reconhecimento e mapeamento de ambientes sedimentares através de imagens LANDSAT-7 ETM+, RADARSAT-1 WIDE e SRTM da baía do Caeté (PA) a baia de Maracaçumé (MA)
(Universidade Federal do Pará, 2008-07-29) RODRIGUES, Suzan Waleska Pequeno; SOUZA FILHO, Pedro Walfir Martins e; http://lattes.cnpq.br/3282736820907252
From the 1980s onwards, with the launch of the Landsat TM series of satellites, orbital images began to be extensively used in coastal geological and geomorphological mapping. These remote sensor products are sources of geographic information, providing important subsidies for analyzes in the domain of space and time. The studied area is located in the best preserved humid tropical environment on the planet, the Amazon Region, more specifically along the mangrove coast of the northeast of the State of Pará and northwest of Maranhão. The area is part of a set of independent basins, where the main river is the Gurupi, on the border between Pará and Maranhão. The objective of this dissertation was to accurately recognize and map the different coastal environments, using images from remote optical and microwave sensors integrated with digital elevation models (DEM), generated by the Shuttle Radar Topography Mission (SRTM) program. The dataset used for this purpose included RADARSAT-1 images from January and February 2003 and September and October 2004; Landsat ETM+ August 7, 1999; and digital elevation models (SRTM) from February 2000. The synergisms of these data used IHS transformation techniques and principal components. In this way, it was possible to apply classical methodologies in Geographic Information Systems for mapping coastal environments. As a result, 15 coastal environments were mapped, grouped into 4 geomorphological domains: coastal plateau, paleodunes, coastal plain (muddy tide plain without vegetation, mangroves, saline marshes, freshwater marshes, frontal dune cord, interdunes, current dunes, macro-tidal beach), estuarine plain (estuarine channel, sandy tidal bar, ebb tide delta) and alluvial plain (lakes and floodplain). , ETM+ AND SRTM, generated a lot of information for the recognition of coastal environments, as they were able to integrate in a single product important characteristics of their particular sensor with those of another, complementing each other, producing maps with high detail.