@InProceedings{OliveiraFlBrHaEcQu:2017:AsMoHi,
               author = "Oliveira, Guilherme Garcia de and Flores, Ta{\'{\i}}sa and 
                         Bresolin Junior, Nestor Antonio and Haetinger, Claus and Eckhardt, 
                         Rafael Rodrigo and Quevedo, Renata Pacheco",
                title = "Associa{\c{c}}{\~a}o entre modelos hidrol{\'o}gicos e 
                         geotecnologias para identifica{\c{c}}{\~a}o de {\'a}reas 
                         suscet{\'{\i}}veis a inunda{\c{c}}{\~o}es e enxurradas em 
                         locais com baixa disponibilidade de dados altim{\'e}tricos e 
                         hidrol{\'o}gicos",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1210--1217",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Natural disasters very often have caused deep impacts on human 
                         society. It is estimated that in the last decade about 1.5 billion 
                         people around the globe were affected by hydrometeorological 
                         events. In order to prevent natural disasters to reach careless 
                         and susceptible areas, several methodologies have been presented 
                         to identity the vulnerability. The identification of susceptible 
                         areas to floods in the Forqueta River Basin has been conducted by 
                         the utilization of a modelling method that integrates the 
                         hydrological simulation and the use of geotechnologies. The 
                         definition of extreme rainfall in return periods (RP) of 10, 30 
                         and 100 years was carried out by using an 
                         intensity-duration-frequency equation. Shuttle Radar Topography 
                         Mission data were used to the delimitation of the basins and 
                         rivers. The Soil Conservation Service method was used for the 
                         transformation of rain runoff, while the spread of river flood 
                         wave was conducted by Muskingum-Cunge model. The extreme 
                         precipitation scenario for a period of 25 hours ranged from 123mm 
                         (RP10) to 179mm (RP100). Hydrological simulation revealed that the 
                         maximum flow rates can exceed 8,000m3.s-1 at the Forqueta river 
                         outfall, with wet area section larger than 5,000m2 and waters 
                         rising more than 10m on the average. About 2% of the basin showed 
                         some degree of susceptibility (RP100), adding up to 53km2 of 
                         wetlands. The approach has shown consistent results concerning to 
                         flows and flood levels. One may conclude that the same data set 
                         could be applied to other fields of study, for regional 
                         hydrological characterization of susceptibility to disasters.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59231",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GB9",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GB9",
           targetfile = "59231.pdf",
                 type = "Hidrologia",
        urlaccessdate = "27 abr. 2024"
}