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Journals / Disaster Science and Engineering / 2020 / Cilt: 6 - Sayı: 2

Comparison of flood discharge calculated by different statistical distribution functions and software

Tülay EKEMEN KESKİN
Emrah DOĞAN
Osman SÖNMEZ
Hatice Betül UMARUSMAN
Pinar SPOR
Meisam BADFAR
Halil İbrahim ÇETİNER
Packialakshmi S
Pages
1–7
Publication Date
2020-12-15
DOI
—
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AI Summary & Key Takeaways

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

By comparing the results obtained from models, it was found that the values obtained by Pearson distribution from Model 1 and the values obtained by DSI Synthetic Method from Model 2 were correlated well with each other.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Flood discharges can be calculated by using the flow observation station data and the precipitation observation station data.
📊
Key Findings & Data:Firstly (Model 1), based on flow data of Kocaırmak (Bartın) River, the possible flood discharges were calculated by using different statistical distribution functions.
💡
Conclusion & Impact:By comparing the results obtained from models, it was found that the values obtained by Pearson distribution from Model 1 and the values obtained by DSI Synthetic Method from Model 2 were correlated well with each other.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Flood Analysis · Statistical Distribution Functions · Mockus and DSI Synthetic Methods

Abstract

Flood discharges can be calculated by using the flow observation station data and the precipitation observation station data. In this study, both of the data set were evaluated and the results were correlated each other. Firstly (Model 1), based on flow data of Kocaırmak (Bartın) River, the possible flood discharges were calculated by using different statistical distribution functions. Secondly (Model 2), calculations were made with the help of different maps and different methods based on the data of precipitation observation stations using software. In Model 1, as a result of calculations made with Normal, Log Normal, Gumbel and Pearson distributions functions, the flood discharges according to 50 year return period were determined as 926, 1579, 1128, and 1024 m3/sec, respectively. The calculations made with the help of DSI and Mockus methods using the 1/25000 scaled digitized topographic maps and Aster-GDEM images with 30x30 m resolution in Model 2, the flood discharges were calculated as 999, 1305, and 1033, 1332 m3/sec, respectively. By comparing the results obtained from models, it was found that the values obtained by Pearson distribution from Model 1 and the values obtained by DSI Synthetic Method from Model 2 were correlated well with each other.

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Cite This Article

KESKİN, T. E., DOĞAN, E., SÖNMEZ, O., UMARUSMAN, H. B., SPOR, P., BADFAR, M., ÇETİNER, H. İ., S, P. (2020). Comparison of flood discharge calculated by different statistical distribution functions and software. Disaster Science and Engineering, Cilt: 6 - Sayı: 2, 1–7. https://ajindex.com/articles/883283

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