Wavelet application approach on the chaotic analysis of daily river discharge [Günlük akarsu akimlarinin kaotik analizinde dalgacik yaklaşiminin uygulamasi]

Water is an indispensable requirement for health and quality of life. for this reason,the efficient use of water resources play a significant role. water basins serve many purposes such as drinking water supply,irrigation and energy production. considering all those purposes,accurate and effective management policies are needed for the efficiency of water resource usage. in particularly,the gauged data need good analysis,and accurate predictability. beside,implementation of new developed methods is highly important to enhance the performance of predictability. this study is an implementation of chaotic analysis on hydrological series to determine the predictability of the system and observe the prediction performance. the daily discharge data of çoruh basin with 33-years record was used. the length of the data is considered to be long enough for determining the system characteristics. in addition,wavelet approach is used to decompose data its component to ensure a more detailed analysis. the entropy concept which is a measure of the information carried by the system is taken into account to determine the appropriate level of decomposition. in the results,it is observed that the data of çoruh river basin,is performed a chaotic character and responds with a good performance to the prediction method of local approximation under chaotic analysis. beside all,the approximation component of wavelet decomposition exhibits a better performance to the original data set in local approximation prediction.