##plugins.themes.bootstrap3.article.main##

حمیدرضا باباعلی زهره رامک رضا سپهوند

چکیده

برآورد سيلاب طرح حوضه آبخيز جهت طراحي سازه­هاي هيدروليکي، تثبيت سواحل رودخانه، پروژه­هاي آبخيزداري و پهنه­بندي سيل يکي از مهم‌ترين مسائل هيدروليکي و هيدرولوژيکي به­شمار مي­آيد. منحني­هاي شدت- مدت- فراواني (IDF) بارش يکي از ابزارهاي هيدرولوژيکي جهت محاسبه سيلاب طرح و طراحي سازه­هاي هيدروليکي مي­باشند. حوضه آبخيز رودخانه خرم­آباد يکي از زيرحوضه­هاي حوضه کرخه همواره در معرض وقوع سيلاب­هاي مخرب و خسارت­هاي ناشي از آن بوده است. در اين تحقيق، ابتدا منحني­هاي شدت- مدت- فراواني حوضه آبخيز به کمک تئوري فرکتال برآورد گرديد و پس از آن، بارش طرح حوضه در دوره­های بازگشت­ مختلف به­دست آمد. در مرحله بعد مدل بارش- رواناب HEC-HMS براي حوضه مورد نظر واسنجی و در نهايت سيلاب طرح حوضه در دوره­های بازگشت­ مختلف تخمين زده شد. نتايج تحقيق، کارآيي بالاي مدل فرکتال و نيز مدل هيدرولوژيکي HEC-HMS را در اين حوضه نشان داد. همچنين نتيجه تحقيق توزيع احتمالاتي گامبل را با آزمون کای­اسکور، اندرسون دارلينگ و نيز کولموگروف-اسمیرنوف با سطح معنا داری 5 درصد براي داده­هاي حداکثر بارش سالانه با تداوم روزانه اين حوضه مناسب دانست.

جزئیات مقاله

کلمات کلیدی

بارش طرح, منحني¬هاي IDF, مدل هیدرولوژیکی, کمبود داده

مراجع
1. Azari M., Sadeghi H.M., Talvari A. 2008. Determine the participation of sub-basins of Jaghrgh in peak discharge and runoff volume to prioritize flood control. Geography and Development, 12: 199-212. (in Persian with English abstract)
2. Bara M. 2008. Analysis of short-term rainfall intensities the simple scaling approaches. Proceedings of the 20th Conference of young hydrologists, SHMI, Bratislava,CD,10 p.
3. Bara M. 2009. Scaling properties of extreme rainfall in Slovakia. Proceedings of the 11th international science conference of PhD Students, Juniorstav, VUT Brno, CD, 6 p.
4. Burlando P., and Rosso R. 1996. Scaling and multiscaling models of depth – duration – frequency curves for storm precipitation. Journal of Hydrology, 187: 45-65.
5. Cheng K.S., Hueter I., Hsu E.C., and Yeh H.C. 2001. A Scaling Gauss-Markov for Design Storm Hyetographs. Journal of the American Water Resources Association, 37(3): 723-736.
6. Danandehmehr A., Majdzadeh Tabatabai M.R. 2010. Prediction of Daily Discharge Trend of River Flow Based on Genetic Programmin. Journal of Water and Soil, 24: 325-333. (In Persian with English abstract)
7. Deidda R. 2000. Rainfall downscaling in Space – time multifractal framework. Water Resource Research, 36: 1779-1794.
8. Fazaeeli H. 2010. Using Genetic Planning Method in Rainfall Modeling. M.S thesis, Water Engineering Department, Tabriz University.
9. Hajizadeh M., Noorani V. 2011. Presenting a Geomorphological Runoff-Runoff Model Based on the Concept of Nonlinear Cascading Tanks. 6th National Congress of Civil Engineering, Semnan University, p. 1-8. (in Persian)
10. Haghizadeh A., Mohammadloo M., Noori F.2015. Simulation of Runoff Rainfall Process Using Artificial Neural Network and Fuzzy Neuro-Comparative System and Multivariate Regression (Case Study : Khorramabad Watershed). Journal of ecohydrology, 2: 233-243. (in Persian)
11. Kamali M., Solaimani K., Shahedi K., Gord- Noshahri A., Gomrokchi A. 2015. Determining the Flooding Points and Prioritizing Subcatchments of Barajin Catchment of Qazvin Using Hec-HMS and GIS. Iran-Watershed Management Science & Engineering, 9(27-34): 27-34. (in Persian with English abstract)
12. Malamud B. D., and Turcotte D.L. 2006. The applicability of power law frequency statistics of floods. Journal of hydrology, 322:168-180.
13. Molnar P., and Burlando P. 2005. Preservation of rainfall properties in stochastic disaggregation by a simple random cascade model. Atmospheric Research, 77:137-151.
14. Menable M., Seed A., and Pegram G. 1999. A simple scaling model for extreme rainfall. Water Resources , 35: 335-339.
15. Nasri M., Soleimani, F., and Katani, M. 2011. Simulation of the Rainfall-Runoff Process Using of HEC-HMS Hydrological Model (A Case Study of Sheikh Bahaei Dam Basin). World Academy of Science, Engineering and Technology, 54: 548-562.
16. Nhat L.M, Tachikawa Y., Sayama T., and Takara K. 2007. Regional rainfall intensity – duration – frequency relationships for ungauged catchments based on scaling properties. Disaster Prevention Research Institute, Kyoto University, 50: 33-43.
17. Noori Gheidari M.H. 2012, Extracting the Intensity - Duration – Frequency Curves with Daily Precipitation Data Using Fractal Theory. Journal of Water and Soil, 26(3): 718-726. (in Persian with English abstract)
18. Soltani A., Gorbani M.A., Fakheri Fard A., Darbandi S., and Farsadizadeh D. 2009. Genetic Programming and Its Application in Rainfall-Runoff Modeling. Journal of Water and Soil, 20.1(4): 63-73. (in Persian with English abstract)
19. Taheri Tizro A., Pakdel Khasmakhi H., Marofi S., and Vazifedoust M. 2016. Integrated HEC-HMS and GLDAS models to runoff estimate of ungauged area. Journal of Water and Soil Conservation, 23(4):. 101-118. (in Persian with English abstract)
20. US Army Corps of Engineers. 2000. Hydrologic Modeling System HEC_HMS: Technical Reference Manual, USA.
21. Yu P.S., Yang T.C., and Lin C.S. 2004. Regional rainfall intensity formulas based on scaling property of rainfall. Journal of Hydrology, 295:108-123.
ارجاع به مقاله
باباعلیح., رامکز., & سپهوندر. (2019). برآورد سيلاب طرح حوضه آبخيز با به¬کارگيري تئوري فرکتال و مدل بارش- رواناب HEC-HMS (مطالعه موردي: حوضه آبخيز رودخانه خرم‌آباد). آب و خاک, 32(6), 1097-1107. https://doi.org/10.22067/jsw.v32i6.71723
نوع مقاله
علمی - پژوهشی