Evaluation of Statistical Methods for Estimating Missing Daily Streamflow Data

Authors : Mustafa Utku YILMAZ, Bihrat ÖNÖZ

Pages : 9597-9620

Doi:10.18400/tekderg.421091

View : 4 | Download : 2

Publication Date : 2019-11-01

Article Type : Research Paper

Abstract :In this study, it was aimed to investigate applicability of various statistical estimation methods for Porsuk River basin, which has sparse streamflow observations. Estimations were performed using regression, single and multiple donor stations based drainage area ratio, standardization with mean insert ignore into journalissuearticles values(SM);, standardization with mean and standard deviation insert ignore into journalissuearticles values(SMS);, inverse distance weighted methods. Two seperate studies were conducted for both partially missing data and completely missing data. In order to estimate streamflow statistics for use in SM and SMS methods, logarithmic regression equations were suggested. The promising results obtained from ensemble approaches will provide a significant hydrological contribution to streamflow estimations.
Keywords : missing data, Porsuk River basin, regression, streamflow estimation