Daily Streamflow of Argentine Rivers Analysis Using Information Theory Quantifiers
This paper analyzes the temporal evolution of streamflow for different rivers in Argentina based on information quantifiers such as statistical complexity and permutation entropy. The main objective is to identify key details of the dynamics of the analyzed time series to differentiate the degrees o...
Main Authors: | Micaela Suriano, Leonidas Facundo Caram, Osvaldo Anibal Rosso |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/26/1/56 |
Similar Items
-
From Continuous-Time Chaotic Systems to Pseudo Random Number Generators: Analysis and Generalized Methodology
by: Luciana De Micco, et al.
Published: (2021-05-01) -
Time-Delay Identification Using Multiscale Ordinal Quantifiers
by: Miguel C. Soriano, et al.
Published: (2021-07-01) -
Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China
by: Weijie Ma, et al.
Published: (2019-12-01) -
Analysing the impact of hydropower dams on streamflow in the Be river basin
by: Tran Thi Kim Ngan, et al.
Published: (2022-03-01) -
Comparison of Two Entropy Spectral Analysis Methods for Streamflow Forecasting in Northwest China
by: Zhenghong Zhou, et al.
Published: (2017-11-01)