%0 Conference Proceedings
%4 dpi.inpe.br/marte/2011/07.11.14.33
%2 dpi.inpe.br/marte/2011/07.11.14.33.54
%@isbn 978-85-17-00056-0 (Internet)
%@isbn 978-85-17-00057-7 (DVD)
%T Vulnerabilidade socioeconômica à ocorrência de eventos extremos: proposta metodológica
%D 2011
%A Furlan, Mariele Coletto,
%A Pardi Lacruz, María Silvia,
%A Sausen, Tania Maria,
%@affiliation Universidade Federal de Santa Maria - UFSM
%@affiliation Instituto Nacional de Pesquisas Espaciais - INPE
%@affiliation Instituto Nacional de Pesquisas Espaciais - INPE
%@electronicmailaddress mariele.furlan@yahoo.com.br
%@electronicmailaddress lacruz@dsr.inpe.br
%@electronicmailaddress tania@dsr.inpe.br
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%B Simpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).
%C Curitiba
%8 30 abr. - 5 maio 2011
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4540-4546
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%K vulnerability, extreme events, natural disaster, vulnerabilidade, eventos extremos, desastres naturais.
%X The importance of vulnerability to natural disasters studies is linked to the necessity of knowing spatially, which areas are more susceptible for the occurrence of natural hazards and extreme events and witch characteristics may increase the risk. The main objective of this work is to develop a methodology to calculate the vulnerability to extreme events, using spatial analysis techniques. The specific objectives include the creation of a database containing socioeconomics and infrastructure information at municipal level; the application of spatial analysis techniques to define the weights of the vulnerability to natural disasters factors; define the vulnerability factors and map the vulnerability to natural disasters. The geographic database containing information about the events and the socioeconomic data were processed in the software SPRING, which allows the integration of the information and the analysis of the existent relations between the different factors considered. These data were analyzed through the tool of support for taking decisions on the AHP (Analytic Hierarchy Process) technique, on for each indicator was ascribed a relative weight due its importance. For each analyzed events were generated three indexes, each one referent to a component of the vulnerability concept of Cardona (2001): physical fragility, socioeconomic fragility and lack of resilience. Reducing the vulnerability of populations to disaster is a crucial aspect of disaster management.
%@language pt
%3 p1542.pdf