@InProceedings{FerreiraFort:2017:AnMoSu,
author = "Ferreira, Narelly Almeida and Fortes, Paulo de Tarso Ferro
Oliveira",
title = "An{\'a}lise morfom{\'e}trica da sub-bacia do Rio S{\~a}o
Mateus, Esp{\'{\i}}rito Santo, Brasil",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5195--5201",
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 = "This paper aims to analyze the morfometric characteristics of
S{\~a}o Mateus watershed, located in Esp{\'{\i}}rito Santo
state, Brazil, in order to improve the use of the water resources
in the area. In this context, determining the watershed area, the
hydrographic and the topographic network consist on important
steps. In this study, the first analysis was primarily done
through the altimetry data acquired from Topodata Project. Through
this data the boundary basin was obtained, showing the drainage
network according to different areas of contribution. Based on the
automated watershed delimitation, morphometric parameters were
calculated. As a result, the basin has an area of 1953,9km2 and a
perimeter of 354,8km. Furthermore, the boundary basin created was
compared with the ANA watershed level 5, available on <
http://www.ana.gov.br/bibliotecavirtual/solicitacaoBaseDados.asp >
in the same region, showing the similarities/differences between
both basin areas. In addition, according to the altimetry extent
of the basin, 5 altimetry ranges were created, ranging from 1m to
112m related to the sea level. Also, slope ranges were obtained,
following the slope classification from Embrapas website. The
result shows that mostly, the basin is plain to low undulated
implying high susceptibility to flooding. The watershed
delimitation was accomplished using the software TerraView
4.2.2/TerraHidro 0.4.2 while the hypsometric and the slope maps
were created through the Qgis 2.14.7 Essen software.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59796",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM4EE",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4EE",
targetfile = "59796.pdf",
type = "Hidrologia",
urlaccessdate = "27 abr. 2024"
}