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- Author
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Akbulut, Uğur, Çifçi, Mehmet Akif, İşler, Buket, and Aslan, Zafer
- Subjects
- *
WAVELET transforms , *RANDOM forest algorithms , *POWER resources , *STREAMFLOW , *DECISION trees - Abstract
Water has a complex relationship with agricultural activities, economy, health, use of energy resources and hygiene. In parallel with climate change and population growth, the inadequacy of our water resources in the coming years is one of the major problems we are likely to face. Estimating how much of the available water can be used and how much the water potential will change in the future can enable more accurate water planning. The average flow, total precipitation and average temperature values of Tagar Stream Küçükkumluk and Porsuk Stream Porsuk Çiftliği Station were analyzed together and the river flow rate was estimated. Linear Regression, Support Vector, Decision Trees, Random Forest and Extra Trees methods were applied for flow estimation. In order to improve the performance of each of the applied models, a hybrid method was developed using Wavelet Transform. Approximately 65% of the dataset is divided into training, 15% validation and 20% test data. ETR was found to be the most successful prediction method with 70.8% for Tagar Stream Küçükkumluk and 67.67% for Porsuk Stream Porsuk Farm. The developed hybrid model increased the success rate for all methods; the highest increase was obtained in SVR method with 20.82% for Küçükkumluk and 30.64% for Porsuk Farm. The most successful method was obtained in the ETR method with 91.46% and 86.39%. [ABSTRACT FROM AUTHOR]
- Published
- 2025
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