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@PhDThesis{Muņoz:2014:CoAnEx,
               author = "Muņoz, Viviana Aguilar",
                title = "Mapeamento de plan{\'{\i}}cies de inunda{\c{c}}{\~a}o a partir 
                         de dados SRTM: contribui{\c{c}}{\~a}o para an{\'a}lise da 
                         exposi{\c{c}}{\~a}o a inunda{\c{c}}{\~a}o na bacia do rio 
                         itaja{\'{\i}}",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2014",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2014-04-28",
             keywords = "mapeamento de plan{\'{\i}}cies de inunda{\c{c}}{\~a}o, 
                         geomorfometria, SRTM-MDE, exposi{\c{c}}{\~a}o a 
                         inunda{\c{c}}{\~o}es, an{\'a}lise do terreno, floodplains 
                         mapping, geomorphometry, SRTM-DEM, floods exposure, terrain 
                         analysis.",
             abstract = "Esta pesquisa apresenta a aplica{\c{c}}{\~a}o de dados de Modelo 
                         Digital de Eleva{\c{c}}{\~a}o (MDE) da miss{\~a}o 
                         \emph{Shuttle Radar Topography Mission }(SRTM) na 
                         delimita{\c{c}}{\~a}o autom{\'a}tica de plan{\'{\i}}cies de 
                         inunda{\c{c}}{\~a}o na bacia hidrogr{\'a}fica do rio 
                         Itaja{\'{\i}}, Santa Catarina, que pode contribuir com 
                         mapeamentos em escalas entre 1:100.000 e 1:250.000. Mostra-se o 
                         processo de extra{\c{c}}{\~a}o de informa{\c{c}}{\~o}es 
                         topogr{\'a}ficas de car{\'a}ter regional a partir desses dados e 
                         o potencial da altura topogr{\'a}fica como indicadora de 
                         plan{\'{\i}}cies de inunda{\c{c}}{\~a}o. Na falta de dados de 
                         controle apropriados, foi necess{\'a}rio o desenvolvimento de uma 
                         metodologia para a delimita{\c{c}}{\~a}o manual de 
                         plan{\'{\i}}cies de inunda{\c{c}}{\~a}o pelo uso de recursos 
                         dispon{\'{\i}}veis em Google Earth. A precis{\~a}o foi avaliada 
                         por tabela de conting{\^e}ncia para dados dicot{\^o}micos (2x2) 
                         para selecionar o limiar de fatiamento da altura topogr{\'a}fica 
                         adequado {\`a} delimita{\c{c}}{\~a}o das plan{\'{\i}}cies e 
                         para determinar a escala na qual melhor respondem os resultados. O 
                         experimento mostrou que, na {\'a}rea de estudo, a altura pode ser 
                         fatiada na faixa entre 8m e 13m e o ajuste entre o dado de 
                         controle e o dado autom{\'a}tico se manteve constante e 
                         independente da escala. Observou-se que as plan{\'{\i}}cies de 
                         inunda{\c{c}}{\~a}o est{\~a}o distribu{\'{\i}}das em 
                         v{\'a}rias faixas de eleva{\c{c}}{\~a}o. Foi conduzida uma 
                         an{\'a}lise de lineamentos estruturais cujos resultados sugerem 
                         origem tect{\^o}nica na cria{\c{c}}{\~a}o de espa{\c{c}}os de 
                         acomoda{\c{c}}{\~a}o de sedimentos e, consequentemente, na 
                         forma{\c{c}}{\~a}o das plan{\'{\i}}cies de 
                         inunda{\c{c}}{\~a}o em v{\'a}rias faixas de altitude na bacia. 
                         A partir de m{\'e}tricas da drenagem, foi analisado o potencial 
                         de inunda{\c{c}}{\~a}o das sub-bacias, sem resultados 
                         satisfat{\'o}rios. Por{\'e}m, a partir da an{\'a}lise da 
                         distribui{\c{c}}{\~a}o dos solos e do perfil longitudinal do 
                         canal principal das sub-bacias foi poss{\'{\i}}vel concluir que 
                         a regi{\~a}o tem alto potencial de inunda{\c{c}}{\~a}o. Em 
                         paralelo, foi analisada a distribui{\c{c}}{\~a}o territorial da 
                         {\'a}rea constru{\'{\i}}da de cidades localizadas sobre as 
                         plan{\'{\i}}cies de inunda{\c{c}}{\~a}o e pr{\'o}ximas ao 
                         canal principal das sub-bacias para verificar seu grau de 
                         exposi{\c{c}}{\~a}o a inunda{\c{c}}{\~o}es. Foi observado que 
                         pelo menos 24 cidades da bacia do Itaja{\'{\i}} est{\~a}o 
                         expostas a inunda{\c{c}}{\~o}es ou alagamentos em algum 
                         n{\'{\i}}vel de gravidade, que n{\~a}o pode ser determinado no 
                         escopo desta pesquisa. As observa{\c{c}}{\~o}es sugerem que 
                         devem ser consideradas priorit{\'a}rias investiga{\c{c}}{\~o}es 
                         mais detalhadas sobre exposi{\c{c}}{\~a}o a 
                         inunda{\c{c}}{\~o}es em todas as 24 cidades, com destaque para 
                         Rio do Sul, Apiuna, Blumenau, Itaja{\'{\i}} e Navegantes, devido 
                         {\`a} maior {\'a}rea de contribui{\c{c}}{\~a}o nesses locais, 
                         diretamente relacionada com maior volume de {\'a}gua e sedimento 
                         potencialmente danoso para sua popula{\c{c}}{\~a}o. ABSTRACT: 
                         This research shows the application of Shuttle Radar Topography 
                         Mission model (SRTM) data for the automatic delineation of 
                         floodplains in the Itaja{\'{\i}} river basin, Santa Catarina, 
                         which can help mapping at scales between 1:100.000 and 1:250.000. 
                         It is shown that the process of extracting topographic regional 
                         information from DEM (Digital Elevation Model) and the potential 
                         of the topographic height as an indicator of floodplains. In the 
                         absence of appropriate control data, it was necessary to develop a 
                         methodology for the manual delineation of floodplains by using 
                         resources available on Google Earth. The accuracy was evaluated 
                         through 2x2 contingency table for dichotomous data for both 
                         selecting the appropriate threshold of the topographic height for 
                         floodplain delimitation and determining the scale at which best 
                         results are obtained. The experiment showed that, in the study 
                         area, the topographic height could be sliced in the range between 
                         8m and 13m and the fit between data control and automatic data 
                         remained constant and scale-independent. It was observed the 
                         floodplains are distributed in various ranges of elevation. An 
                         analysis of structural lineaments was conducted and the results 
                         suggest tectonic origin in the creation of accommodation spaces 
                         for sediment inflow and subsequent formation of floodplains in 
                         several elevation ranges within the basin. The sub-basin 
                         inundation potential was evaluated through the analysis of 
                         drainage metrics, without satisfactory results. In contrast, by 
                         the analysis of the occurring soils and the distribution of the 
                         main sub-basin longitudinal channel profile, it was possible to 
                         conclude that the region has high flood potential. In parallel, we 
                         analyzed the distribution of constructed area in cities located on 
                         the floodplains and near to the main channel of the sub-basins, to 
                         verify the exposure to floods. It was observed that at least 24 
                         cities in the Itaja{\'{\i}} basin are exposed to floods or urban 
                         floods in some level of severity, which cannot be determined in 
                         the extent of this research. The observations suggest that more 
                         priority should be given for detailed investigations of exposure 
                         to flood events in all those 24 cities, especially to Rio do Sul, 
                         Apiuna, Blumenau, Itaja{\'{\i}} and Navegantes, because of the 
                         major contribution area related to these sites, which is directly 
                         related to a higher volume of water and sediment potentially 
                         harmful to its population.",
            committee = "Rosseti, Dilce de F{\'a}tima (presidente) and Valeriano, 
                         M{\'a}rcio de Morisson (orientador) and Florenzano, Teresa 
                         Gallotti and Almeida, Cl{\'a}udia Maria de and Sim{\~o}es, 
                         Silvio Jorge Coelho and Bohn, Noemia",
         englishtitle = "Floodplains mapping from srtm data: contributions to floods 
                         exposure analysis in river basin itaja{\'{\i}}",
             language = "pt",
                pages = "112",
                  ibi = "8JMKD3MGP5W34M/3G5LL8E",
                  url = "http://urlib.net/rep/8JMKD3MGP5W34M/3G5LL8E",
           targetfile = "publicacao.pdf",
        urlaccessdate = "23 nov. 2020"
}


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