%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.23.17.01.17
%2 sid.inpe.br/marte2/2017/10.23.17.01.18
%@isbn 978-85-17-00088-1
%F 59519
%T Identificação das áreas de risco à enchente do Município de Rio Azul-PR com base no estudo da sub-bacia urbana do Rio Faxinal
%D 2017
%A Felde, Jerusa Tonete,
%A Oliveira Filho, Paulo Costa de,
%@electronicmailaddress paulocostafh@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 376-383
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The use and inadequate management of environmental resources and increasing urbanization has contributed to environmental degradation due to the numerous land use conflicts in both urban and rural areas. These conflicts are among the main causes of erosion, silting, floods and drought effects. Therefore, the use of studies and occupation of the land are characterized by being decisive in the territorial management of cities, planning and environmental studies. This study aimed to use studies and land occupation, the morphometric analysis in numerical modeling of ground and spatial analysis related to river basin of Faxinal, identify and map the areas most susceptible to flooding in the basin. Satellite images were used GeoEye and RapidEye with spatial resolution of 50 cm and 5 m respectively, which allowed the identification of areas of the basin, and a great breakdown of the urban area. land use classification maps were produced in the basin as well as infiltration ability levels. From altimetry data numerical models and their maps altimetry and slope were produced. The morphometric characterization proved efficient in understanding the hydrological dynamics of the same applied to the issue of flooding. And finally, considering data slope, distances from the banks, use and occupation of land, infiltration capacity levels in the soil and the quota of the last great flood of 2014, it obtained the identification of the areas most susceptible to the occurrence of floods as well as the spatial representation of these risk areas to assist in management and planning of the municipality.
%9 Hidrologia
%@language pt
%3 59519.pdf