Chaos in hydrology: A case study in Konya Basin, Turkey
Özet
Every natural behaviour is non-linear, but not always is chaotic. This paper aims to
investigate low dimensional chaotic behaviour of study area: Konya Basin by using nonlinear time series techniques with three stages: i) Mutual Information, ii) False Nearest
Neighbour (FNN) algorithm, iii) Stretching Exponential. These techniques calculate the
delay time, the embedding dimensions and the maximal positive Lyapunov exponent
respectively. The data set consists of daily average flow rates of three stations in Konya
Basin through the study period between 1968 and 2014. Analysed data implied that these
time series have shown chaos. This information helps catchment manager to forecast future
and the extreme flow rates such as droughts and floods.
