1 results listed
In designing flood protection structures, to make flood flow calculations with the appropriate methods has both technological and societal important. Flood discahrges with different repetition intervals can be calculated both by using the current (flow) observation station data and the precipitation observation station data. In this study, both data set were evaluated and the results were correlated each other. Firstly (Model 1), based on the 38-year flow data of Bartın River (Kocaırmak), the probable flood discharges were calculated by using Normal, Gumbel, Log Normal and Pearson statistical methods. Secondly (Model 2), calculations were made with the help of Mockus and DSI methods based on the data of precipitation observation stations. In model 2, as a result of calculations made with normal Normal distribution, Gumbel distribution, Log Normal distribution and Pearson distribution functions, the flood discharges according to 50 year repetition were determined as 926 m3/sec, 1579 m3/sec, 1128 m3/sec, and 1024 m3/sec, respectively. Also in the calculations made with the help of Mockus and DSI methods in model 2, the flood discharges in the 50 year return interval were calculated as 999 m3/sec and 1305 m3/sec, respectively. By comparing the consistency of results obtained from Model 1 and Model 2, it was found that the long term data sets of precipitation as well as river flow data is contributing a significant part in designing the flood protection measures.
International Science and Engineering Application Symposium on Hazards
ISESH
Tülay Ekemen Keskin
Emrah Doğan
Hatice Betül Umarusman
Pınar Spor
Meisam Badfar
Shanmugam Packialakshmi