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The simulation of flood hydrograph under uncertain conditions of rainfall extreme values in different return periods: A case study on Gharesoo basin | ||
| Journal of Applied Research in Water and Wastewater | ||
| دوره 9، شماره 1 - شماره پیاپی 17، شهریور 2022، صفحه 91-99 اصل مقاله (1.62 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22126/arww.2022.7902.1251 | ||
| نویسندگان | ||
| Dlpak Ahmed Hamaamin1؛ Amjad Maleki* 1؛ Arash Azari2؛ Azzadeen Darwesh3؛ Mohammed Ahmadi4 | ||
| 1Department of Geography, Faculty of Literature and Human Sciences, Razi University, Kermanshah, Iran. | ||
| 2Department of Water Engineering, Faculty of Agriculture, Razi University, Kermanshah, Iran. | ||
| 3Department of Geography, Faculty of Education, Garmian University, Kurdistan of Iraq, Iraq. | ||
| 4Department of Geomorphology, Faculty of Literature and Human Sciences, Agricultural Education and Natural Resources Center of Kermanshah Province, Kermanshah, Iran. | ||
| چکیده | ||
| Flood is inherently an uncertain phenomenon and the certainty and credibility of flood forecasting and warning systems will cause errors regardless of the sources of uncertainty. Extreme rainfall events are one of the most important input data to rainfall-runoff models, which always have uncertainty. Considering this issue the uncertainty of the design flood hydrograph can be investigated for different return periods. In this research first to simulate the flood hydrograph the HEC-HMS model was calibrated and validated based on the hourly flood hydrographs recorded at the basin outlet. Historical data were collected on the 24-hour maximum rainfall of Gharesoo Basin stations with 30-year statistics and the affected basins were identified. Then in each station 30 series of 30 years of artificial data with a maximum 24-hour rainfall were produced. For each of these produced stochastic series the best statistical distribution was fitted and in each series extreme values with a return period of 25 50 100 and 1000 years were calculated. Finally in each return period by combining 30 different amounts of rainfall obtained from stochastic series, the uncertainty bandwidth of the flood hydrograph was obtained during this return period. The results indicated that the highest predicted peak discharge for different return periods was between 1.2 and 1.7 times the historically recorded discharge during that return period. Generally the maximum discharge of different return periods was between 1.5 and 3 times the minimum discharge. | ||
| کلیدواژه‌ها | ||
| Flood Design؛ HEC-HMS؛ Uncertainty؛ Gharesoo basin | ||
| مراجع | ||
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