@InProceedings{CabettePereOlivPita:2017:CoSyMo,
               author = "Cabette, Ricardo Ramos and Pereira, Marconi Arruda and Oliveira, 
                         Tales Moreira and Pitanga, Heraldo Nunes",
          affiliation = "{Universidade Federal de S{\~a}o Jo{\~a}o Del Rei (UFSJ)} and 
                         {Universidade Federal de S{\~a}o Jo{\~a}o Del Rei (UFSJ)} and 
                         {Universidade Federal de S{\~a}o Jo{\~a}o Del Rei (UFSJ)} and 
                         {Universidade Federal de Vi{\c{c}}osa (UFV)}",
                title = "Computational system for monitoring and risk analysis based on 
                         TerraMA2",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
                pages = "169--180",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The intensity to which natural phenomena have been occurring and 
                         surprising the population imposes on Engineering the search for 
                         preventive measures that minimize the contingent of people 
                         affected by these tragedies. It happens due to the imminent risks 
                         of disasters, posed by rain combined with the soil properties, 
                         slope and the type of use and land occupation existing in the 
                         region. From this perspective, an experimental program aimed at 
                         issuing warnings is justified from the technological point of 
                         view. Therefore, the present work presents an elaboration of a 
                         monitoring system to analysis and alert generation of risks for 
                         the city of Ouro Preto, state of Minas Gerais, based on TerraMA2. 
                         The project used as a case studies 33 occurrences of slope 
                         disruption in the city of Ouro Preto, made available by the city's 
                         Civil Defense. The obtained results showed that the generated 
                         model, based on the intensity of the accumulated rainfall, as well 
                         as the lithological maps, use and occupation and slope, would be 
                         effective to identify, in advance, risk situations.",
  conference-location = "Salvador",
      conference-year = "04-06 dez. 2017",
                 issn = "2179-4820",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3Q5DN2P",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DN2P",
           targetfile = "21cabette_pitanga.pdf",
        urlaccessdate = "27 abr. 2024"
}