@InProceedings{OliveiraSilv:2019:MaSéRi,
               author = "Oliveira, Ka{\'{\i}}que de and Silva, Mirna Karla Amorim da",
          affiliation = "{Geoj{\'a} Mapas Digitais e Aerolevantamentos} and {Universidade 
                         Federal de Uberl{\^a}ndia (UFU)}",
                title = "Mapeamento das s{\'e}ries de risco {\`a} inunda{\c{c}}{\~a}o 
                         no munic{\'{\i}}pio de Rio Grande da Serra/SP",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1060--1063",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "desastres naturais, inunda{\c{c}}{\~a}o, risco, Natural 
                         disasters, floods, risk.",
             abstract = "As inunda{\c{c}}{\~o}es acarretam em grandes danos sociais, 
                         ambientais e econ{\^o}micos. O objetivo desta pesquisa foi 
                         identificar e mensurar as vari{\'a}veis relevantes para 
                         elabora{\c{c}}{\~a}o do Mapa de risco a inunda{\c{c}}{\~a}o no 
                         Munic{\'{\i}}pio de Rio Grande Serra/SP (MRGS), dentre elas: 
                         precipita{\c{c}}{\~a}o, declividade, hipsometria, relevo, 
                         pedologia e solos. Com o geoprocessamento tornou-se 
                         poss{\'{\i}}vel a realiza{\c{c}}{\~a}o dos mapeamentos dessas 
                         vari{\'a}veis, bem como a elabora{\c{c}}{\~a}o do mapa das 
                         {\'a}reas suscet{\'{\i}}veis a inunda{\c{c}}{\~a}o. O mapa de 
                         risco {\`a} inunda{\c{c}}{\~a}o do MRGS mostra {\'a}reas de 
                         risco baixo, m{\'e}dio e elevado de inunda{\c{c}}{\~a}o. Os 
                         resultados mostram que o munic{\'{\i}}pio possui um risco baixo 
                         {\`a} ocorr{\^e}ncia de inunda{\c{c}}{\~o}es em 35,78% de sua 
                         extens{\~a}o, 32,65% com risco m{\'e}dio e 31,57% com elevado 
                         risco. Os mapas de risco {\`a} inunda{\c{c}}{\~a}o s{\~a}o 
                         documentos essenciais ao planejamento urbano\territorial e ao 
                         poder p{\'u}blico pois, atrav{\'e}s deles, medidas mitigadoras 
                         podem ser planejadas e desenvolvidas para evitar/reduzir {\^o}nus 
                         {\`a} popula{\c{c}}{\~a}o, {\`a} economia e ao meio ambiente. 
                         ABSTRACT: Floods result in great social, environmental and 
                         economical losses. The purpose of this research was identifying 
                         and measuring the relevant variables to the elaboration of the 
                         flood risk map of Rio Grande da Serra/SP city (RGSC), including 
                         precipitation, slope, hypsometry, relief, pedology and soil type. 
                         Geoprocessing made the mapping of those variables possible, as 
                         well as the map elaboration of flooding susceptible areas. The 
                         flood risk map of RGSC shows areas of low, medium and high risk. 
                         Results show the city has a low risk of flooding in 35.78% of its 
                         extension, medium risk in 32.65% and high risk in 31.57% of it. 
                         Flood risk maps are essential documents for urban/territorial 
                         planning and for the public authorities because mitigating 
                         measures can be planned and developed from them, avoiding/reducing 
                         charges to the population, economy and environment.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U34HJH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U34HJH",
           targetfile = "97467.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}