Acta Geophysica, Год журнала: 2025, Номер unknown
Опубликована: Янв. 9, 2025
Язык: Английский
Fractal and Fractional, Год журнала: 2025, Номер 9(1), С. 27 - 27
Опубликована: Янв. 6, 2025
Complexity evaluation of hydro-climatic datasets is a challenging but essential pre-requisite for accurate modeling and subsequent planning. Changes in climate anthropogenic interventions amplify the complexity time-series. Understanding persistence fractal features may help us to develop new robust frameworks which can work well under non-stationary non-linear environments. Classical hydrology, rooted statistical physics, has been developed since 1980s modern alternatives based on de-trending, complex network, time–frequency principles have 2002. More specifically, this review presents procedures Multifractal Detrended Fluctuation Analysis (MFDFA) Arbitrary Order Hilbert Spectral (AOHSA), along with their applications field hydro-climatology. Moreover, study proposes network-based analysis (CNFA) framework multifractal daily streamflows as an alternative. The case proves efficacy CNMFA shows that it flexibility be applied visibility inverted schemes, effective comprising both high- low-amplitude fluctuations. comprehensive showed more than 75% literature focuses characteristic time-series using MFDFA rather modeling. Among variables, about 70% studies focused analyzing fine-resolution streamflow rainfall datasets. This recommends use CNMF hydro-climatology advocates necessity knowledge integration from multiple fields enhance applications. further asserts transforming characterization into operational hydrology highly warranted.
Язык: Английский
Процитировано
3
Acta Geophysica, Год журнала: 2025, Номер unknown
Опубликована: Янв. 9, 2025
Язык: Английский
Процитировано
0