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Abstract: Good data analysis is required for the optimal design of water resources projects. 10 However, data are not regularly collected due to material or technical reasons, which results in… Click to show full abstract
Abstract: Good data analysis is required for the optimal design of water resources projects. 10 However, data are not regularly collected due to material or technical reasons, which results in 11 incomplete-data problems. Available data and data length are of great importance to solve those 12 problems. Various studies have been conducted on missing data treatment. This study used data 13 from the flow observation stations on Yeşilırmak River in Turkey. In the first part of the study, 14 models were generated and compared in order to complete missing data using ANFIS, multiple 15 regression and Normal Ratio Method. In the second part of the study, the minimum number of data 16 required for ANFIS models was determined using the optimum ANFIS model. Of all methods 17 compared in this study, ANFIS models yielded the most accurate results. A 10-year training set was 18 also found to be sufficient as a data set. 19
Journal Title: Applied Ecology and Environmental Research
Year Published: 2018
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