%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.23.19.28.14
%2 sid.inpe.br/marte2/2017/10.23.19.28.15
%@isbn 978-85-17-00088-1
%F 60056
%T Uso da altimetria espacial para correção da cota de fundo de um modelo hidráulico. Resultados Preliminares no rio Madeira
%D 2017
%A Brêda, João Paulo Lyra Fialho,
%A Paiva, Rodrigo Cauduro Dias,
%@electronicmailaddress joaopaulolfb@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 1004-1011
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X River bottom level is an important parameter of a hydraulic model; however, this information is frequently not available. As an alternative to in situ measurements, methods based on remote sensing and geomorphologic equations are used to estimate river bottom level, despite of theirs significant errors. Therefore this paper suggests a simplified method to calibrate this model parameter using altimetry measurements of the Envisat satellite. The hydraulic model used for this test is adapted from Bates et al. (2010), called in the literature as inertial model, using a rectangular shaped cross section where the width is estimated by Landsat images. The calibration method is basically a spatial interpolation of the difference between simulated water levels and altimetry measurements. This preliminary test was taken in Madeira river, a 1.3 million km² basin affluent of the Amazon. The calibrated model results outperform the non-calibrated results regarding bias and mean squared error (MSE) as well. Yet, the modeled water elevation had shown higher amplitude compared to local measurements irrespective of the bottom level set. This fact indicates that the model formulation is too simplified for this system, so the model still need to be improved either by taking floodplains or variable channel form into account or calibrating other parameters as well.
%9 Hidrologia
%@language pt
%3 60056.pdf