@InProceedings{LimaFerrRibeNogu:2017:SiCePe,
author = "Lima, Gabriella Santos Arruda de and Ferreira, Nilson Clementino
and Ribeiro, Hugo Jos{\'e} and Nogueira, S{\'e}rgio Henrique de
Moura",
title = "Simula{\c{c}}{\~a}o de cen{\'a}rios de perda do solo por
eros{\~a}o laminar na regi{\~a}o metropolitana de Goi{\^a}nia",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3656--3663",
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 = "Erosion is a major source of danger to soils. It is caused by
natural agents, like rain, cause damage to crops, soil exhaustion,
siltation and pollution of watersheds. Such processes are
intensified, in the metropolitan region of Goi{\^a}nia, by the
removal of native vegetation and establishment of pastures and
crops. The Universal Soil Loss Equation (USLE), applied by the use
of the Geographic Information Systems (GIS), allows to estimate
erosion in varying land use conditions. USLE was selected as a
methodology with the objective of evaluating the erosive
susceptibility to the current ground use and also for the
remaining vegetation scenarios transformed into agriculture and
pasture, comparing their values to predict how the conversion of
environmental asset can collaborate for the occurrence of erosion.
Considering that the whole metropolitan area of Goi{\^a}nia,
these ensuing scenarios were simulated: Current, Pasture and
Agriculture. The erosive susceptibility to pasture was increased
to almost five times and Agriculture over 130 times compared to
the Current Scenario. It was observed that the simulated scenarios
resulted in an increase of the average soil loss of 3.33
t.ha-1.year-1 and 14.3 t.ha-1.year-1 for Pasture and Agriculture,
respectively. The results indicate that the conversion of
environmental liabilities demonstrates a significant increase in
erosive susceptibility.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59666",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLTBL",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTBL",
targetfile = "59666.pdf",
type = "Risco ambiental",
urlaccessdate = "27 abr. 2024"
}