Fechar
Metadados

@Article{CarvalhoJoBeLoSoSa:2018:SuArAn,
               author = "Carvalho, Tiago and Jorge, Aurelienne Aparecida Souza and 
                         Bernardes, Tiago and Londe, Luciana R. and Soriano, Erico and 
                         Santos, Leonardo B. L.",
          affiliation = "{Instituto Federal de S{\~a}o Paulo (IFSP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and 
                         {Centro Nacional de Monitoramento e Alertas de Desastres Naturais 
                         (CEMADEN)} and {Universidade Federal de S{\~a}o Carlos (UFSCar)} 
                         and {Centro Nacional de Monitoramento e Alertas de Desastres 
                         Naturais (CEMADEN)}",
                title = "A Computational Index to Expose Vulnerabilities in Transport 
                         Infrastructure and Socio-environmental Disasters: From 
                         Susceptibility Areas Analisys to Monitoring Coverage",
              journal = "IEEE Latin America Transactions",
                 year = "2018",
               volume = "16",
               number = "5",
                pages = "1454--1459",
                month = "May",
             keywords = "Geographical Databases, Geoprocessing, Floods, Landslides, 
                         Cemaden.",
             abstract = "In a scenario of global change, extreme weather and climatic 
                         events are expected to increase in frequency and intensity and 
                         cause more social and economic impacts in several sectors, such as 
                         the transportation system. This work analyzes geographical 
                         measures (distance and coverage) for the Brazilian road network 
                         taking both the susceptible areas to the occurrence of disasters 
                         and the multi-institutional meteorological observational network, 
                         in order to propose an index of fragility, calculated in a 
                         Geographical Database. The results show 26 highway stretches very 
                         close to areas of susceptibility and not covered by any of the 
                         monitoring tools.",
                  doi = "10.1109/TLA.2018.8408441",
                  url = "http://dx.doi.org/10.1109/TLA.2018.8408441",
                 issn = "1548-0992",
             language = "en",
           targetfile = "carvalho_computational.pdf",
        urlaccessdate = "24 nov. 2020"
}


Fechar