Wavelet transform for medium-range streamflows projections in national interconnected system
This study aimed to analyze the variability of average annual streamflow time series of the National Interconnected System (NIS) (Brazil) and create a projection model of future streamflow scenarios from 3 to 10 years using wavelet transform (WT). The streamflow time series were used and divided int...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Engenharia Sanitária e Ambiental
2021-12-01
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| Series: | Revista Brasileira de Ciências Ambientais |
| Subjects: | |
| Online Access: | http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/1048 |
| _version_ | 1818754446559019008 |
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| author | Carlos Eduardo Sousa Lima Marx Vinicius Maciel da Silva Cleiton da Silva Silveira, Dr Francisco das Chagas Vasconcelos Junior |
| author_facet | Carlos Eduardo Sousa Lima Marx Vinicius Maciel da Silva Cleiton da Silva Silveira, Dr Francisco das Chagas Vasconcelos Junior |
| author_sort | Carlos Eduardo Sousa Lima |
| collection | DOAJ |
| description | This study aimed to analyze the variability of average annual streamflow time series of the National Interconnected System (NIS) (Brazil) and create a projection model of future streamflow scenarios from 3 to 10 years using wavelet transform (WT). The streamflow time series were used and divided into two periods, namely, 1931–2005 and 2006–2017, for calibration and verification, respectively. The annual series was standardized, and by the WT, it was decomposed into two bands plus the residue for each base posts (BP) for later reconstruction. Then, an autoregressive (AR) model per band and residue was made. The projection was obtained by adding the AR models. For performance evaluation, a qualitative analysis of the cumulative probability distribution of the projected years and an analysis of the likelihood were performed. The model identified the probability distribution function of the projected years and obtained a likelihood ratio of > 1 in most SIN regions, indicating that this methodology can capture the mediumrange variability. |
| first_indexed | 2024-12-18T05:23:23Z |
| format | Article |
| id | doaj.art-27c9495a7482416eb079d04a4a6d66ce |
| institution | Directory Open Access Journal |
| issn | 1808-4524 2176-9478 |
| language | English |
| last_indexed | 2024-12-18T05:23:23Z |
| publishDate | 2021-12-01 |
| publisher | Associação Brasileira de Engenharia Sanitária e Ambiental |
| record_format | Article |
| series | Revista Brasileira de Ciências Ambientais |
| spelling | doaj.art-27c9495a7482416eb079d04a4a6d66ce2022-12-21T21:19:35ZengAssociação Brasileira de Engenharia Sanitária e AmbientalRevista Brasileira de Ciências Ambientais1808-45242176-94782021-12-01571728310.5327/Z2176947810481048Wavelet transform for medium-range streamflows projections in national interconnected systemCarlos Eduardo Sousa Lima0Marx Vinicius Maciel da Silva1Cleiton da Silva Silveira, Dr2Francisco das Chagas Vasconcelos Junior3Federal University of Ceará (UFC)Federal University of Ceará (UFC)Federal University of Ceará (UFC)Fundação Cearense de Meteorologia e Recursos HídricosThis study aimed to analyze the variability of average annual streamflow time series of the National Interconnected System (NIS) (Brazil) and create a projection model of future streamflow scenarios from 3 to 10 years using wavelet transform (WT). The streamflow time series were used and divided into two periods, namely, 1931–2005 and 2006–2017, for calibration and verification, respectively. The annual series was standardized, and by the WT, it was decomposed into two bands plus the residue for each base posts (BP) for later reconstruction. Then, an autoregressive (AR) model per band and residue was made. The projection was obtained by adding the AR models. For performance evaluation, a qualitative analysis of the cumulative probability distribution of the projected years and an analysis of the likelihood were performed. The model identified the probability distribution function of the projected years and obtained a likelihood ratio of > 1 in most SIN regions, indicating that this methodology can capture the mediumrange variability.http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/1048autoregressive waveletssinclimate variabilitystreamflow projection |
| spellingShingle | Carlos Eduardo Sousa Lima Marx Vinicius Maciel da Silva Cleiton da Silva Silveira, Dr Francisco das Chagas Vasconcelos Junior Wavelet transform for medium-range streamflows projections in national interconnected system Revista Brasileira de Ciências Ambientais autoregressive wavelets sin climate variability streamflow projection |
| title | Wavelet transform for medium-range streamflows projections in national interconnected system |
| title_full | Wavelet transform for medium-range streamflows projections in national interconnected system |
| title_fullStr | Wavelet transform for medium-range streamflows projections in national interconnected system |
| title_full_unstemmed | Wavelet transform for medium-range streamflows projections in national interconnected system |
| title_short | Wavelet transform for medium-range streamflows projections in national interconnected system |
| title_sort | wavelet transform for medium range streamflows projections in national interconnected system |
| topic | autoregressive wavelets sin climate variability streamflow projection |
| url | http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/1048 |
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