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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
As a result, the 100-year flood plain was found to be 7,52 m3/sec on log-normal distribution.
📌 3 Key Takeaways
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Objective & Hypothesis:It is extremely important to predict flood forecasts in planning water systems and reducing flood damage.
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Key Findings & Data:For the Akçay stream, which is one of the important branches of the Sakarya river , the flood forecasts that can be seen at certain time frequencies have been estimated.
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Conclusion & Impact:As a result, the 100-year flood plain was found to be 7,52 m3/sec on log-normal distribution.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Flood recurrence · probability distributions · Kolmogorov-Smirnov test
Abstract
It is extremely important to predict flood forecasts in planning water systems and reducing flood damage. For the Akçay stream, which is one of the important branches of the Sakarya river , the flood forecasts that can be seen at certain time frequencies have been estimated. Normal (Gauss), log-normal and Gumbel distributions have been estimated in this context. The Kolmogorov-Smirnov test investigated the suitability of the distributions and found that the log-normal distribution was appropriate. As a result, the 100-year flood plain was found to be 7,52 m3/sec on log-normal distribution.
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Cite This Article
SANDALCI, M. (2018). Flood Frequency Analysis of Akçay Stream. Sakarya University Journal of Science, Cilt: 22 Sayı: 5, 1309–1313. https://ajindex.com/articles/942142