Entropy, Год журнала: 2025, Номер 27(6), С. 598 - 598

Опубликована: Июнь 3, 2025

One effective method for analyzing complexity involves applying information measures to time series derived from observational data. Permutation entropy (PE) is one such measure designed quantify the degree of disorder or within a by examining order relations among its values. PE distinguished simplicity, robustness, and exceptionally low computational cost, making it benchmark tool analysis. This text reviews advantages limitations while exploring diverse applications in hydrology 2002 2025. Specifically, categorizes uses across various subfields, including runoff prediction, streamflow analysis, water level forecasting, assessment hydrological changes, evaluating impact infrastructure on systems. By leveraging PE’s ability capture intricate dynamics processes, researchers can enhance predictive models improve our understanding water-related phenomena.

Язык: Английский