TRANSFER OF HYDROLOGIC INFORMATION ALONG RIVERS PARTIALLY FED BY KARSTIFIED LIMESTONES

Abstract

Two types of measures are used to find how much information can be transferred between the runoff series along the river and how much information the linear and non- linear (power- function non- linearity) regression analyses actually transfer. In the former case the relative measures of transferability are based on the entropy theory, and in the latter case the classical correlation coefficients for measuring the transferred information among the river flows are used. The Esencay River basin in Turkey is used as a demonstration case of complex composition of karstic and non- karstic formations feeding water to a river. It was found that the non- linear correlation always transfers more information than the linear correlation. The transferable information is nearly always greater than the transferred information of non- linear case, especially in summer/fall months of flow recession. Due to differences in responses of karstified and non- karstic subbasins to precipitation, it is likely that a search for the other non- linear relationships and the use of the multiple lag cross correlation and regression analysis, would significantly reduce the differences between the transferable and actually transferred information. The correlation and regression analysi