AI Summary & Key Takeaways
AI InsightKolmogorov-Simirnov and Cramer Von Mises tests were also used to determine which flood frequency model produced the most accuracy results when applied to observed data
📌 3 Key Takeaways
Abstract
Seyhan Basin was divided imaginary sub-areas by applying homogenity tests for 11 local stations on the Seyhan River Basin. These stations have had peak discharge records for annual periods changing between 16 and 55 years. Log Logistik, Log Pearson 3, Pearson 3, Wakeby, Log Boughton, Gumbel and Log Normal models were applied to those subareas by the means of spreadsheet programs for regional flood frequency analysis. At-Site flood frequency analysis was then made for the local stations on the Seyhan River Basins. Kolmogorov-Simirnov and Cramer Von Mises tests were also used to determine which flood frequency model produced the most accuracy results when applied to observed data
Özet
Seyhan Havzasında bulunan, kayıt uzunlukları 16 ile 55 yıl arasında olan 11 istasyonun yıllık pik serilerine göre homojenlik testi yapılarak Seyhan Havzası homojen alt bölgelere ayrılmıştır. Seyhan Havzası akarsuları yıllık pik serilerine Log-Lojistik, Log Pearson 3, Pearson 3, Wakeby, Log-Boughton, Gumbel ve Log-Normal dağılımları uygulanarak taşkın frekans analizleri yapılmış, bölgesel taşkın frekans eğrileri elde edilmiştir. Daha sonra Kolmogorov-Simirnov ve Cramer Von Misses uygunluk testleri yapılarak, kullanılan taşkın frekans analizi modellerinin hangisinin eldeki örnek için en yakın sonuçları verdiği araştırılmıştır.