AI Summary & Key Takeaways
AI InsightKinematic, Muskingum Cunge and Dynamic Methods for the establishment of the base slope, roughness coefficient, SOS sections, such as the need for a lot of data, in terms of reaching the correct result, Muskingum method is considered to be preferred in the flood routing studies.
📌 3 Key Takeaways
Abstract
Flood routing is the calculation of the change of current (flow, velocity, etc.) values of the flood wave at any point along a reservoir or channel over time. In terms of flood control, flood offset calculations have many benefits. The most prominent of these is that when the flood sizes of the river are known, the flood hydrographs in a section down the kilometers of this section can be predicted for hours. In this way, the time required to save lives and property and to minimize flood damages is reduced and consequently flood damages are reduced. In this study, flood routing study was performed by using hourly flow data of flood occurred in in Seyhan Basin of Adana Province. One-hour intermittent hydrograph data were used at the E18A025 Stream Observation Station (SOS) on the river and at the D18A054 SOS at 5,044 km downstream. While the models were installed, excel program was used in all and calculations and graphics were created in excel program. Measured values were compared with hydrological and hydraulic models. The slope of the stations and the distance between the two stations used in the flood routing methods were utilized from the DSI's online web page. The measured values of these stations and the results of hydrological and hydraulic models were compared. During this study, Muskingum and SCS as hydrological models and Kinematic Wave, Muskingum-Cunge and Dynamic methods as hydraulicmodels have been applied. While performing this comparison, the values of Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Determination Coefficient (R2) values were calculated and the performance of the methods were evaluated to determine which method yields the best results. Since the MAE and RMSE error values of Muskingum Method are small and R2 value is large, it is seen that this method is the best method in the investigated basin. Since the error values of Muskingum-Cunge, SCS and Kinematic Methods are acceptable and the coefficients of determination are quite high, it can be said that these methods also give good results. The results of the Dynamic Method were unacceptably unsuccessful due to both high error and low certainty coefficients. As a result of the study, it has been determined that Muskingum Method gives the best estimation, Muskingum-Cunge, SCS and Kinematic Methods predictions are acceptable, and and Dynamic Method give inaccurate estimates. Only the input and output hydrograph data are sufficient to establish the Muskingum Method. Kinematic, Muskingum Cunge and Dynamic Methods for the establishment of the base slope, roughness coefficient, SOS sections, such as the need for a lot of data, in terms of reaching the correct result, Muskingum method is considered to be preferred in the flood routing studies.
Özet
Bu çalışmada, Adana İli Seyhan Havzası’nda meydana gelen taşkına ait saatlik debi verileri kullanılarak taşkın ötelenme çalışması yapılmıştır. Akarsu üzerindeki E18A025 nolu Akım Gözlem İstasyonu'nda (AGİ) ve bu AGİ'nun 5,044 km mansabında yer alan D18A054 nolu AGİ'nda gözlenen birer saat aralıklı hidrograf verileri kullanılmıştır. İstasyonlarda ölçülen değerler ile hidrolik ve hidrolojik modellerin sonuçları karşılaştırılmıştır. Çalışmada hidrolojik modellerden Muskingum ve SCS; hidrolik modeller olarak da Kinematik Dalga, Muskingum-Cunge ve Dinamik yöntemleri uygulanmıştır. Ölçülen ve modellerden hesaplanan değerler arasındaki Hataların Ortalama Karekökü (HOK), Ortalama Mutlak Hata (OMH) ve Belirlilik Katsayısı (R2) değerleri hesaplanmış ve yöntemlerin performansları irdelenerek hangi yöntemin daha iyi sonuç verdiği değerlendirilmiştir. Çalışma sonunda, Muskingum Yönteminin en iyi tahmini verdiği, Muskingum-Cunge, SCS ve Kinematik Yöntemlerinin tahminlerinin de kabul edilebilecek düzeyde olduğu, Dinamik Yöntemin ise oldukça hatalı tahminler verdiği belirlenmiştir.