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Journals / Düzce Üniversitesi Bilim ve Teknoloji Dergisi / 2021 / Cilt: 9 - Sayı: 5

Use of Daily Average Flows in Flood Routing Calculation with Arficial Neural Network Method

Günlük Ortalama Akımların Yapay Sinir Ağları Metodu ile Taşkın Öteleme Hesabında Kullanılması

Metin SARIGÖL
Pages
2052–2066
Publication Date
2022-11-06
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In conclusion, it has been determined that the results of the predictions performed by Artificial Neural Networks Method, where the daily mean hydrograph data is applied, yielded very good results, and the flood routing results for the next year are at a level that can be considered good.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, daily mean hydrograph data of E07A043 Ertuğrul and D07A115 Yenice Regulator Girişi Stream Gauging Stations (SGS) located on Menderes River in Buyuk Menderes Basin were used.
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Key Findings & Data:These data were passed through the training and testing stages using the Artificial Neural Networks Method, Flood Routing calculations were made by applying the flood data of 2015 to this model.
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Conclusion & Impact:In conclusion, it has been determined that the results of the predictions performed by Artificial Neural Networks Method, where the daily mean hydrograph data is applied, yielded very good results, and the flood routing results for the next year are at a level that can be considered good.
🔬Design:Modeling & Simulation
📍Scope:2015 Verileri
⚙️Variables:Taşkın Ötelenmesi · Yapay Sinir Ağları · Taşkın

Abstract

In this study, daily mean hydrograph data of E07A043 Ertuğrul and D07A115 Yenice Regulator Girişi Stream Gauging Stations (SGS) located on Menderes River in Buyuk Menderes Basin were used. These data were passed through the training and testing stages using the Artificial Neural Networks Method, Flood Routing calculations were made by applying the flood data of 2015 to this model. The results were compared with both Artificial Neural Networks Method and the measured values results. At the end of comparative analysis, Root Mean Square Errors (RMSE) and Coefficient of Determination (R2) values were calculated. In conclusion, it has been determined that the results of the predictions performed by Artificial Neural Networks Method, where the daily mean hydrograph data is applied, yielded very good results, and the flood routing results for the next year are at a level that can be considered good.

Özet

Bu çalışmada, Büyük Menderes Havzası’ndaki Menderes Nehri üzerinde yer alan E07A043 Ertuğrul ve D07A115 Yenice Regülatör Girişi Akım Gözlem İstasyonlarına (AGİ) ait günlük ortalama hidrograf verileri kullanılmıştır. Bu veriler Yapay Sinir Ağları Metodu kullanılarak eğitim ve test aşamalarından geçirilmiş, kurulan bu modele 2015 yılındaki taşkın verileri uygulanarak Taşkın Öteleme hesapları yapılmıştır. Elde edilen sonuçlar, hem ölçülmüş değerlerle hem de Yapay Sinir Ağları Metodu sonuçları ile karşılaştırılmıştır. Karşılaştırma analizinde Belirlilik Katsayısı (R2), Hataların Ortalama Karekökü (HOK) değerleri hesaplanmıştır. Sonuçta, günlük akım verilerinin uygulandığı Yapay Sinir Ağları Metodu ile yapılan tahmin sonuçlarının oldukça iyi sonuçlar verdiği, bir sonraki yıla ait taşkın öteleme sonuçlarının ise iyi sayılabilecek bir düzeyde olduğu tespit edilmiştir.

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Cite This Article

SARIGÖL, M. (2022). Use of Daily Average Flows in Flood Routing Calculation with Arficial Neural Network Method. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Cilt: 9 - Sayı: 5, 2052–2066. https://ajindex.com/articles/649829

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