Effects of Rainfall Intensity-Duration-Frequency Curves Reformation on Urban Flood Characteristics in Semiarid Environment

Authors
1 Associate Professor, Department of Watershed Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran
2 Ph.D.Student, Department of Watershed Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran
3 Associate Professor, Department of Geography, Faculty of Humanities, University of Zanjan, Zanjan, Iran
Abstract
Background: A design storm is a theoretical storm event based on rainfall intensities associated with frequency of occurrence and having a set duration. Estimating design storm via rainfall intensity–duration–frequency (IDF) curves is important for hydrological planning of urban areas.
Material and Methods: The impact of changes in rainfall intensity–duration–frequency (IDF) curves on flood properties in an urban area of Zanjan city was investigated, using Storm Water Management Model (SWMM). For the IDF curve generation, Sherman and Ghahreman-Abkhezr methods were compared.
Results: According to results, the estimated rainfall depth and, consequently the peak runoff rate for different return periods had decreased in the recent years, except for 2-year return period. Decrease in peak runoff rate was 30, 39, 41 and 42 percent for 5-10-20 and 50-year return periods, respectively. Based on the results, for peak runoff evaluated in 50-year return period using Sherman and Ghahreman-Abkhezr hyetograph, percent of flood that occurred before the peak runoff were 27 and 22 percent, respectively.
Discussion and Conclusion: Design rainfall hyetograph showed that Sherman method gave larger rainfall intensity compared to Ghahreman-Abkhezr method. Estimated peak and total runoff volume follow trend of rainfall intensity. As Ghahreman-Abkhezr method use longer and newer rainfall data for creating IDF curves, we can conclude that climate change cause change in rainfall characteristics. The runoff modeling show that main urban drainage system had enough transfer capacity against the flood condition, but survey information indicated several inundations in some flat areas, curbs and gutters. Inappropriate design and obstruction of the runoff paths via urban garbage and sediments are some parameters that could lead to such local inundation.
Keywords

  1. Feizi V, Mollashahi M, Frajzadeh M, GhasemAzizi Gh. Temporal Trend Analysis of Temperature and Precipitation in Iran. ECOPERSIA. 2014; 2(4): 727-742.

    1. Aghabeigi AS, Moradi HR, Fattahi B. Sediment and Runoff Measurement in Different Rangeland Vegetation Types using Rainfall Simulator. ECOPERSIA. 2014; 2(2): 525-538.

    2. Choi K, Ball JE. Parameter estimation for urban runoff modelling, Urban Water. 2002; 4: 31-41.

    3. Hoang L, FennerRichard A, Skenderian M. A conceptual approach for evaluating the multiple benefits of urban flood management practices. Journal of Flood Risk Management. 2016; Online Version of Record published before inclusion in an issue.

    4. United Nations. World Urbanization Prospects: The 2005 Revision, ESA/P/WP/200, 2006; p. 210.

    5. Zoppou C. Review of urban storm water models, Environ Modell Softw J Elsevier. 2001; 16: 195-231.

    6. Huong HTL, Pathirana A. Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam, Hydrol Earth Syst Sc. 2013; 17: 379-394.

    7. Ahilan S, Guan M, Sleigh A, Wright N, Chang, H. The influence of floodplain restoration on flow and sediment dynamics in an urban river. Journal of Flood Risk Management. Online Version of Record published before inclusion in an issue. 2016.

    8. Lee ES, Lee DK, Kim SH, Lee KC. Design strategies to reduce surface water flooding in a historical district. Journal of Flood Risk Management. Online Version of Record published before inclusion in an issue. 2016.

    9. Morgan A, Branfireun B, Csillag F. An Evaluation of the Contributions of Urbanization and Climatic Change to Runoff Characteristics in the Laurel Creek Watershed, Ontario. Canadian Water Resources Journal. 2004; 29(3): 171–182.

    10. Alam N, Olsthoorn T. Sustainable Conjunctive Use of Surface and Ground Water: Modelling on the Basin Scale. Int J Naut Res Mar Sci. ECOPERSIA. 2011; 1 (1): 1-12.

    11. Ghahreman B, Abkhezr H. Reformation the relations of Intensity- duration-frequency of Iran. Journal of Sciences and Technology of Agriculture and Natural Resources. 2004; 8(2): 1-13. (In Persian).

    12. Prodanovic P, Simonovic SP. Development of rainfall intensity duration frequency curves for the city of London under the changing climate. Water Resources Research Report, London. 2007; p. 51.

    13. Semadeni -Davies A, Herne bring C, Svensson G, Gustafsson L. The impacts of climate change and urbanization on drainage in Helsingborg, Sweden: Combined Sewer System. J Hydrol. 2008; 350 (1-2): 100-113.

    14. Desramaut N. Estimation of Intensity Duration Frequency Curves for Current and Future Climates (Case study: Quebec Canada).M.Sc. Thesis, University of McGill, Canada, 2008; p. 83.

    15. Ayman GA, ElGamal M, ElMostafa A, ElBadry H. Developing Intensity-Duration-Frequency Curves in Scarce Data Region: An Approach using Regional Analysis and Satellite Data. Scientific Research, Engineering. 2011; 3: 215-226.

    16. Ibrahim HE. Developing rainfall intensity duration–frequency relationship for two regions in Saudi Arabia, J. King Saud University – Engineering Sciences. 2012; 24 (2): 131-140.

    17. Huber W, Dickinson R. Storm water management model, version 4: user’s manual, US Environmental Protection Agency Athens, 2nd Ed. 1992; p. 720.

    18. Gironas J, Roesner LA, Davis J. Storm water management model applications manual, EPA, United States. 2009: p. 180.

    19. Mahdavi M, Applied Hydrology. Volume (2). Tehran Press. Iran. 2007; p. 427. (In Persian)

    20. McCuen RH, Johnson PA, Ragan RM. Highway Hydrology: Hydraulic Design Series No: 2. Hydrology, Federal Highway Administration, Washington, DC FHWA-SA.1996: p. 357.

    21. American Society of Civil Engineering. Gravity Sanitary Sewer Design and Construction. ASCE Manual of Practice. 1982; 60: p. 275.

    22. Rossman LA. Storm water management model user’s manual, version 5.0, EPA. United States. 2009; p. 233.

    23. Natural resources conservation service. Conservation Engineering Division, Small Watershed Hydrology, WinTR–55 User Guide. 2009; p. 142.

    24. Butler D, Davies J. Urban Drainage, Chapter 7. System component and design, Taylor & Francis. 2011; p. 28.

    25. Behbahani SM. Surface water hydrology. 2nd Ed. Tehran Press. 2009; p. 488. (In Persian)

    26. Zaghloul NA, Abu Kiefa MA. Neural network solution of inverse parameters used in the sensitivity- calibration analyses of the SWMM model simulations, Adv Eng Softw J Elsevier. 2001; 32 (7): 587-595.

    27. Willems P. Revision of urban drainage design rules based on extrapolation of design rainfall statistics.12th International Conference on Urban Drainage, 11-16 September, Porto Alegre/RS- Brazil. 2011; 1-8.

    28. Moatamednia M, Nohegar A, Malekian A, KarimiZarchi K, Tavasoli A. Performance of Different Models for Curve Number Estimation (Case study: Bar Watershed in KhorasanRazavi Province, Iran). ECOPERSIA, 2015; 3(3): 1031-1049.

    29. Camorani G, Attilio C, Armando B. Effects of land use changes on the hydrologic response of reclamation systems, Phys. Chem. Earth J Elsevier. 2005; 30: 561-574.

    30. Watt WE, Waters D, McLean R. Climate Change and Urban Stormwater Infrastructure in Canada: Context and Case Studies. Report 2003-1. Meteorological Service of Canada, Waterloo, Ontario, Canada. 2003; p. 27.