This paper presents a novel framework for the complexity analysis of rainfall, runoff, and runoff coefficient (RC) time series using multiscale entropy (MSE). The MSE analysis of RC time series was used to investigate changes in the complexity of rainfallrunoff processes due to human activities. Firstly, a coarse graining process was applied to a time series. The sample entropy was then compute...

in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...

In this paper, fractal dimensional analysis is used to investigate the Tamil Nadu rainfall dynamics. Here, the time series data of Tamil Nadu rainfall (annual, south west and northeast) has been analyzed using Detrended fluctuation analysis (DFA). For estimating the 110 years rainfall data, the scaling exponent analysis is used. The result shows a varying degree of persistence over shorter and ...

More accurate forecasting of monthly rainfall is significantly important in drought forecasting in agriculture, irrigation schedule, water resources management, and crop pattern design. In this paper, ability of time series models in forecasting the rainfall according to the climate conditions is estimated. For this purpose, rainfall data of four different climates in Iran was selected. Using t...

This study examines the persistence and long-term correlation of monthly seasonal rainfall time series Kırşehir for period 1960-2019, with widely used Hurst exponent Detrended Fluctuation Analysis (DFA) analyses. Both DFA analyses could be to detect memory that can assessed as a reference predictability. To support results Augmented Dickey Fuller Mann-Kendall tests also applied series. Within v...

The Federal District is a politically and economically important part of Brazil, which suffers from water stress. Exploratory analyzes were conducted using data on rainfall in the Federal District from the monthly precipitation time series to assess the rainfall variability in January, a month that falls in the middle of the rainy season in the region. A time series of 30 years (1981–2010), rec...

this study is a step toward identifying spatial and temporal patterns of precipitation on the territory of iraq. the purpose of this analysis, the data related to the network database aphrodite a 57 -year period (2007-1951), was used. the data matrix consists of three cell location, the original data (rainfall) and the calendar matrix .surfer was drawn up. also analyzed for the first time and t...