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Previous issue date: 2017-08-18 / O presente trabalho tem como objetivo a avalia??o multitemporal de curto prazo
da retra??o numa fal?sia da Forma??o Barreiras, na ?rea do Centro de
Lan?amento Barreira do Inferno (CLBI), localizada no litoral oriental do Estado do
Rio Grande do Norte (RN). Os estudos foram conduzidos entre agosto de 2016 e
fevereiro de 2017, com a utiliza??o do Laser Esc?ner Terrestre (LT), aparelho que
utiliza o pulso laser para fazer o mapeamento da fal?sia. A primeira etapa do estudo
usou os dados da nuvem de pontos levantada em 21 de agosto de 2016, para a
constru??o de 10 Modelos Digitais do Terreno (MDT) em quatro diferentes softwares,
para a sele??o do m?todo interpolador que melhor representa a superf?cie estudada.
A segunda etapa consistiu na caracteriza??o da fal?sia quanto ao seu principal indutor
erosivo, atrav?s da utiliza??o de 30 perfis transversais a face da fal?sia obtidos a partir
dos MDTs, gerados na etapa anterior, resultando numa subdivis?o da fal?sia em 5
setores de acordo com esta caracteriza??o. As avalia??es e quantifica??o da eros?o
total e da taxa de retra??o foram conduzidas a partir da compara??o entre os MDTs e
perfis transversais gerados em cada um dos levantamentos. Os resultados mostraram
que a fal?sia apresentou uma retra??o de aproximadamente 6 cm com uma eros?o
total de 333 m? no per?odo de estudo. O resultado tamb?m mostrou a import?ncia de
se avaliar a confiabilidade da nuvem de pontos com rela??o a presen?a de vazios,
ocasionados por sombreamentos durante os levantamentos, que podem ser fontes de erros significativos. O estudo desta fal?sia se faz importante por ser o primeiro a
utilizar o LT neste tipo de forma??o, como tamb?m por representar uma nova
ferramenta para o entendimento da din?mica costeira. / This research aims a short-term multi-temporal evaluation of the seacliff retreat of
the Barreiras Formation, in the Barreira do Inferno Launch Center (CLBI, in
Portuguese) located in the eastern coast of Rio Grande do Norte (RN), Brazil. The
studies were conducted between August 2016 and February 2017 through a
Terrestrial Laser Scanning (TLS), which is equipment that utilizes a pulsed laser to
map seacliffs face. The first phase of the study used the point cloud generated on
August 21, 2016, for the construction of 10 Digital Elevation Model (DEM) via four
different softwares for selecting the interpolation method that best represents the
studied surface. The second phase was the description of the seacliff according to
its main erosive cause through 30 transversal seacliff face profiles obtained through
the DEM generated in the previous phase. It led to a subdivision of the seacliff in 5
segments according to its description. The evaluation and quantification of the net
erosion and the retreat rate were conducted through comparing the DEMs with the
transversal profiles generated. The results expressed that the seacliff had a retreat
of approximately 6 centimeters with a net erosion of 333 m? during the study period.
It was also observed the importance of evaluating the reliability of the point cloud
because of the presence of blanks due to the shading during the data collection,
which may cause significant errors. The evaluation of this seacliff was relevant not only because it was the first to be done through TLS in this type of formation, but also because it represents a new way for understanding the coast dynamic.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/24286 |
| Date | 18 August 2017 |
| Creators | Almeida J?nior, Jos? Edson de |
| Contributors | 35385839191, Santos J?nior, Olavo Francisco dos, 35816384449, Santos, Andr? Luis Silva dos, 76967743368, Scudelari, Ada Cristina, Amaro, Venerando Eustaquio |
| Publisher | PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA CIVIL, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| 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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