@InProceedings{FeldeOliv:2017:IdÁrRi,
author = "Felde, Jerusa Tonete and Oliveira Filho, Paulo Costa de",
title = "Identifica{\c{c}}{\~a}o das {\'a}reas de risco {\`a} enchente
do Munic{\'{\i}}pio de Rio Azul-PR com base no estudo da
sub-bacia urbana do Rio Faxinal",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "376--383",
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 = "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.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59519",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS43SG",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS43SG",
targetfile = "59519.pdf",
type = "Hidrologia",
urlaccessdate = "27 abr. 2024"
}