%0 Conference Proceedings
%4 sid.inpe.br/marte2/2015/06.15.15.38.36
%2 sid.inpe.br/marte2/2015/06.15.15.38.37
%@isbn 978-85-17-0076-8
%F 843
%T Estudos de Sensibilidade Ambiental a Derrame de Óleo no Litoral Sul da Bahia
%D 2015
%A Vasconcelos, Adriano de Oliveira,
%A Assad, Luiz Paulo de Freitas,
%A Santos, Raquel Tostes Ferreira dos,
%A Landau, Luiz,
%@electronicmailaddress adriano@labsar.coppe.ufrj.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
%C João Pessoa
%8 25-29 abr. 2015
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4300-4307
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The concession of marine blocks for exploration and production of oil and natural gas in the last decade, oil industries activities became to exert greater pressure on the marine and coastal environments of Brazil. The BM-J-2 block is located about 20 km away from the coast of Una, Canavieiras and Belmonte cities in the southern state of Bahia. This region is constituted by important coastal marine ecosystems, some of them protected by law. This context makes the area mentioned sensitive to impacts from potential oil spill accidents. This work aims to structure a knowledge base necessary for physical characterization of these coastal ecosystems which are fundamental to studies of environmental sensitivity to oil spills. Therefore, Environmental Sensitivity Index (ESI) maps were generated based on atmospheric and hydrodynamic scenarios, which were derived from computational model results. Moreover, regional studies of geomorphology, geology, land cover and land use and soil types were also used to construct the ESI charts. Maps revealed levels of environmental sensitivity to oil spill ESI ranging from 1 (least sensitive) to ESI 10. The study discloses the importance of considering the spatial and temporal variability of hydrological, oceanographic and atmospheric processes in order to understanding of environmental sensitivity in coastal ecosystems considered.
%9 Monitoramento e modelagem ambiental
%@language pt
%3 p0843.pdf