
Wavelet transform for medium-range streamflows projections in national interconnected system
Author(s) -
Carlos Eduardo Sousa Lima,
Marx Vinícius Maciel da Silva,
Cleiton da Silva Silveira,
Francisco das Chagas Vasconcelos Júnior
Publication year - 2021
Publication title -
revista brasileira de ciências ambientais
Language(s) - English
Resource type - Journals
eISSN - 2176-9478
pISSN - 1808-4524
DOI - 10.5327/z217694781048
Subject(s) - autoregressive model , streamflow , wavelet transform , wavelet , range (aeronautics) , series (stratigraphy) , mathematics , projection (relational algebra) , statistics , econometrics , computer science , environmental science , geography , algorithm , artificial intelligence , geology , cartography , engineering , drainage basin , paleontology , aerospace engineering
This work aims to analyze the variability of average annual streamflow time series of the SIN (Brazil) and create a projection model of future streamflow scenarios from 3 to 10 years using wavelet transform. The streamflow time series were used divided into two periods: 1931 to 2005 and 2006 to 2017, for calibration and verification, respectively. The annual series was standardized, and by the wavelet transform, it was decomposed into two bands plus the residue for each Base Posts (BP) for later reconstruction. Then an autoregressive model per band and residue was made. The projection was obtained by adding the autoregressive models. For performance evaluation, a qualitative analysis of the cumulative probability distribution of the projected years and the likelihood were made. The model identified the probability distribution function of the projected years and obtained likelihood greater than 1 in most of the SIN regions, indicating that this methodology can capture the medium-range variability.