Preprint Article Version 1 This version is not peer-reviewed

Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River

Version 1 : Received: 10 March 2018 / Approved: 12 March 2018 / Online: 12 March 2018 (07:00:46 CET)

How to cite: Saplioglu, K.; Kucukerdem, T.S. Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River. Preprints 2018, 2018030084 (doi: 10.20944/preprints201803.0084.v1). Saplioglu, K.; Kucukerdem, T.S. Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River. Preprints 2018, 2018030084 (doi: 10.20944/preprints201803.0084.v1).

Abstract

Good data analysis is required for the optimal design of water resources projects. However, data are not regularly collected due to material or technical reasons, which results in incomplete-data problems. Available data and data length are of great importance to solve those problems. Various studies have been conducted on missing data treatment. This study used data from the flow observation stations on Yeşilırmak River in Turkey. In the first part of the study, models were generated and compared in order to complete missing data using ANFIS, multiple regression and Normal Ratio Method. In the second part of the study, the minimum number of data required for ANFIS models was determined using the optimum ANFIS model. Of all methods compared in this study, ANFIS models yielded the most accurate results. A 10-year training set was also found to be sufficient as a data set.

Subject Areas

anfis; missing data; multiple regression; normal ratio method; Yeşilırmak

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