全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
Water  2014 

Inter-Event Time Definition Setting Procedure for Urban Drainage Systems

DOI: 10.3390/w6010045

Keywords: inter-event time definition (IETD), independent rainfall events, urban drainage systems

Full-Text   Cite this paper   Add to My Lib

Abstract:

Traditional inter-event time definition (IETD) estimate methodologies generally take into account only rainfall characteristics and not drainage basin characteristics. Therefore, they may not succeed in providing an appropriate value of IETD for any sort of application to the design of urban drainage system devices. To overcome this limitation, this study presents a method of IETD determination that considers basin characteristics. The suggested definition of IETD is the time period from the end of a rainfall event to the end of a direct runoff. The suggested method can identify the independent events that are suitable for the statistical analysis of the recorded rainfall. Using the suggested IETD, the IETD of the Joong-Rang drainage system was determined and the area-IETD relation curve was drawn. The resulting regression curve can be used to determinate the IETD of ungauged urban drainage systems, with areas ranging between 40 and 4400 ha. Using the regression curve, the IETDs and time distribution of the design rainfall for four drainage systems in Korea were determined and rainfall-runoff simulations were performed with the Storm Water Management Model (SWMM). The results were compared with those from Huff's method which assumed a six-hour IETD. The peak flow rates obtained by the suggested method were 11%~15% greater than those obtained by Huff’s method. The suggested IETD determination method can identify independent events that are suitable for the statistical analysis of the recorded rainfall aimed at the design of urban drainage system devices.

References

[1]  Chen, J.; Adams, B.J. Analysis of storage facilities for urban stormwater quantity control. Adv. Water Resour. 2005, 28, 377–392, doi:10.1016/j.advwatres.2004.11.005.
[2]  Behera, P.K.; Adams, B.J.; Li, J.Y. Runoff quality analysis of urban catchments with analytical probabilistic models. J. Water Resour. Plan. Manag. ASCE 2006, 132, 4–14, doi:10.1061/(ASCE)0733-9496(2006)132:1(4).
[3]  Nguyen, T.A.; Grossi, G.; Ranzi, R. Design Storm Selection for Mixed Urban and Agricultural Drainage Systems: A Case Study in the Northern Delta-Vietnam. In Proceedings of 11th International Conference on Urban Drainage, Edinburgh, UK, 31 August–5 September 2008.
[4]  Guo, Y.; Liu, S.; Baetz, B.W. Probabilistic rainfall-runoff transformation considering both infiltration and saturation excess runoff generation processes. Water Resour. Res. 2012, 48, doi:10.1029/2011WR011613.
[5]  Balistrocchi, M.; Bacchi, B. Modelling the statistical dependence of rainfall event variables by a trivariate copula function. Hydrol. Earth Syst. Sci. Discuss. 2011, 8, 429–481, doi:10.5194/hessd-8-429-2011.
[6]  Adams, B.J.; Hugh, G.F.; Charles, D.D.; Sami, M.H. Meteorological data analysis for drainage system design. J. Environ. Eng. 1986, 112, 827–848, doi:10.1061/(ASCE)0733-9372(1986)112:5(827).
[7]  Grace, R.A.; Eagleson, P.S. A Model for Generating Synthetic Sequences of Short-Time-Interval Rainfall Depths. In Proceedings of the International Association Hydrologic Science Symposium, Fort Collins, CO, USA, 6–8 September 1967; pp. 268–276.
[8]  Sariahmed, A.; Kisiel, C.C. Synthesis of Sequences of Summer Thunderstorm Volumes for the Atterbury Watershed in the Tucson Area. In Proceedings of the International Association Hydrologic Science Symposium on Use of Analog and Digital Computers in Hydrology, Tucson, AZ, USA, 1968; pp. 439–447.
[9]  Howard, C.D.D. Theory of storage and treatment-plant overflows. J. Environ. Eng. Div. 1976, 102, 709–722.
[10]  Heaney, J.P.; Huber, W.C.; Medina, M.A.; Murphy, M.P.; Nix, S.J.; Hasan, S.M. Nationwide Assessment of Combined Sewer Overflows and Urban Stormwater Discharges: Volume II, Cost Assessment and Impacts; U.S. Environment Protection Agency: Cincinnati, OH, USA, 1977.
[11]  Nix, S.J. Urban Stormwater Modeling and Simulation; Lewis Publishers: Boca Raton, FL, USA, 1994.
[12]  Restrepo-Posada, P.J.; Eagelson, P.S. Identification of independent rainstorms. J. Hydrol. 1982, 55, 303–319, doi:10.1016/0022-1694(82)90136-6.
[13]  Joo, J.G.; Lee, J.H.; Jun, H.D.; Kim, J.H.; Jo, D.J. A New Approach to Determine IETD Considering Runoff Characteristics of Urban Watersheds. In Proceedings of the Asia Oceania Geosciences Society 3rd Annual Meeting & Exhibition (AOGS2006), Singapore, 9–14 July 2006.
[14]  Balistrocchi, M.; Grossi, G.; Bacchi, B. An analytical probabilistic model of the quality efficiency of a sewer tank. Water Resour. Res. 2009, 45, doi:10.1029/2009WR007822.
[15]  Balistrocchi, M.; Grossi, G.; Bacchi, B. Deriving a practical analytical-probabilistic method to size flood routing reservoirs. Adv. Water Resour. 2013, 62, 37–46, doi:10.1016/j.advwatres.2013.09.018.
[16]  Adams, B.J.; Papa, F. Urban Stormwater Management Planning with Analytical Probabilistic Models; John Wiley Sons: New York, NY, USA, 2000.
[17]  Huber, W.; Dickinson, R.E. Storm Water Management Model, Version 4: User’s Manual; United States Environmental Protection Agency: Athens, GA, USA, 1988.
[18]  Keifer, C.J.; Chu, H.H. Synthetic storm pattern for drainage design. J. Hydraul. Div. 1957, 83, 1–25.
[19]  Huff, F.A. Time distribution of rainfall in heavy storms. Water Resour. Res. 1967, 3, 1007–1019, doi:10.1029/WR003i004p01007.
[20]  Soil Conservation Service (SCS). Engineering Field Manual.
[21]  Yen, B.C.; Chow, V.T. Feasibility Study on Research of Local Design Storms; U.S. Department of Transportation, Federal Highway Administration: Washington, DC, USA, 1977.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133