A streamflow time series encompasses a large amount of hidden information and reliable
prediction of its behavior in the future remains a challenge. It seems that the use of …

Monitoring and predicting river floods have always been of concern for hydrologists.
Anomalies in flow patterns alert us of upcoming events. The effect of such anomalies on the …

The present study focuses on characterizing the time–frequency aspects of seasonal
temperatures in India by integrating the complete ensemble empirical mode decomposition …

From a mechanical point of view, the phenomenon of damage in concrete members is
represented by surface discontinuities in the form of cracks and crack networks, in …

Scientific method for correct recognition and understanding of the hydrologic phenomena is
investigation of their simple models. Generally, a model is a simple representation of a …

Chaotic analysis has been performed on the river flow time series before and after applying
the wavelet based de-noising techniques in order to investigate the noise content effects on …

Multifractality of daily streamflow time series data was investigated for ten hydrometric
stations of the semiarid Karkheh watershed (western Iran). Mann–Kendall test results …

With more and more hydropower stations built and put into operation, the runoff in the river is
becoming more and more complex. Runoff is affected by topography, confluence, rainfall …

Fractal geometry is used as a suitable tool for analysis of the sub-basin geomorphology and
the river networks characteristics. It is also practical for very other complicated natural …

Fractal patterns of crack propagation have been studied through an experimental-numerical
research. Cubic specimens curing for 28 days with different compressive strength are tested …