Shift Detection in Hydrological Regimes and Pluriannual Low-Frequency Streamflow Forecasting Using the Hidden Markov Model

Shift Detection in Hydrological Regimes and Pluriannual Low-Frequency Streamflow Forecasting Using the Hidden Markov Model

Improved water resource management relies on accurate analyses of the past dynamics of hydrological variables. The presence of low-frequency structures in hydrologic time series is an important feature. It can modify the probability of extreme events occurring in different time scales, which makes t...

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Bibliographic Details
Main Authors: Larissa Zaira Rafael Rolim, Francisco de Assis de Souza Filho
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Water
Subjects:
streamflow
low-frequency variability
regime shift
hydrological prediction
Sobradinho dam
Online Access:https://www.mdpi.com/2073-4441/12/7/2058

Internet

https://www.mdpi.com/2073-4441/12/7/2058

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