Estimating the probable maximum flood (PMF) using HEC-HMS Model: A case study in Northwest Iran-Ajichay’s Basin

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Research Paper 01/01/2015
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Estimating the probable maximum flood (PMF) using HEC-HMS Model: A case study in Northwest Iran-Ajichay’s Basin

Ali. Hanafi, Faramarz Khoshakhlagh
J. Biodiv. & Environ. Sci. 6(1), 227-235, January 2015.
Copyright Statement: Copyright 2015; The Author(s).
License: CC BY-NC 4.0

Abstract

Flood estimation is an important component of hydrology studies, water resource’s projects and especially dam construction projects. In this study in order to estimate PMF of the Ajichay basin, we have selected HEC-HMS model among other precipitation-runoff mathematical models. Thus, the meteorological data records of 40 synoptic and rain gauge stations were gathered from the Bureau of Meteorology and the ministry of water resources (Tamab). Then, to estimate the basin’s probable maximum flood, the main basin was divided into some smaller sub-basins and the physiographic characteristics of each basin were determined. The rainfall pattern was selected to base on a 24-hour rainfall type II pattern, and the largest 6-hour rainfall was extracted in different return’s periods. Next, the HMS model was applied in order to create hydrographs of PMF at different return’s periods and then hydrographs of PMF were drawn for various sub-basins. The amounts of PMF were calculated for all the sub-basin as well. The total PMF values at the return’s periods of 2, 10, 25, 50, 100 and 200 years, were estimated accurately 18261, 33073, 42212, 49207, 55845 and 62198 in cubic meters per second respectively, over the Ajichay’s catchment.

Azar A, Momeni M. 2006. Statistics and its application on management, 13th editions, SAMT publications.

Casas MC, Rodríguez R, Prohom M, Gázquez A, Redaño A. 2011. Estimation of the probable maximum precipitation in Barcelona (Spain). International Journal of Climatology, 31(9), 1322-1327.

Chow VT, Maidment D, Mays LW. 1988. Applied Hydrology, McGraw-Hill book co. New York.

Bostani F. 1999. Scientific and technical investigation on probable maximum precipitation and flood as an index to design the hydrologic constructions, PhD dissertation, researches sciences branch, Islamic university of Azad, Tehran, Iran.

Frances F, Botero BA. 2002. Probable maximum flood estimation using systematic and non-systematic information, Department of de ingenieria hydraulic ye medio ambiente, Universidad politencia de Valencia, Camino de Vera s/n, 46022 Valencia, Spain.

Shiravand H. 2004. Estimation of probable maximum precipitation using synoptic method, case study: Golestan’s dam, Faculty of Geography, University of Tehran.

Christopher J, Yung A. 2001. The use of HEC-GeoHMS and HEC-HMS to perform Grid-Based Hydrologic Analysis of a watershed, Dodson & Associates, In. Houston, Texas, USA.WWW.Dodson-hydron.com

Loukas AN, Dalezios R, Voultsidis Ch, Harisis A. 1995. Design Flood estimation using the HEC-HMS model for Germasoya Basin, Cyprus, department of civil engineering, university of Thessaly.

Bozorgzadeh M. 1995. Time distribution of precipitation for flood estimation, quarterly journal of water and development.

Mahtab Qods’s consulting engineers. 2001. A project on increasing the height of the Zarrinehrood’s dam, maximum precipitation and probable floods studies.

Maidment DR, Ahrens S. 1999. Introduction to HEC-HMS, CE. 394K.2 Surface water hydrology university of Texas at Austin-spring.

Ohara N, Kavvas ML, Kure S, Chen ZQ, Jang S, Tan E. 2011. Physically based estimation of maximum precipitation over American River watershed, California. Journal of Hydrologic Engineering, 16(4), 351-361.

Pistocchi A, Mazzoli P. 2001. Use of HEC-RAS and HEC-HMS Models with Arcview for Hydrologic risk management. Autorotadei Bacini regional romagnoli, P. zza G.B.

Sharma V, Priya T. 2001. Development strategies for flood prone areas, case study. Disaster Prevention and Management, Patna, India vol. 10 (2) pp. 101–109.

Paizad SH. 2002. Probable maximum precipitation estimation using statistical and synoptic methods and compare the results, and to calculate the PMF, a case study: East of Hormozgan Province, Tarbiat Modares University, Tehran.

Smith K, Ward R.1998. Floods: Physical Processes and Human Impacts. Wiley, Chichester, 382pp.

Soltani M, Hanafi A, Yari E .2008. Estimation of probable Maximum Precipitation using Hirschfield method in Tehran City, 3rd Disaster Management Conference, School of Engineering, University of Tehran, Iran

Ward R. 1978. Floods, A Geographical Perspective. Macmillan Press, London.

World  Meteorological Organization (WMO). 1986. Manual for estimation of probable maximum precipitation. No. 332. Operational Hydrology Report.

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