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Khattak MS, Anwar F, Saeed TU, Sharif M, Sheraz K, Ahmed A (2016) Floodplain mapping using HEC-RAS and ArcGIS: a case study of Kabul River. Water-resources investigations report no 85-4004. Jarrett RD (1985) Determination of roughness coefficients for streams in Colorado. Haltas I, Elçi S, Tayfur G.(2016) Numerical simulation of flood wave propagation in two-dimensions in densely populated urban areas due to dam break. Gül GO, Harmancıoğlu N, Gül A (2010) A combined hydrologic and hydraulic modeling approach for testing efficiency of structural flood control measures. Ghanbarpour MR, Saravi MM, Salimi S.(2014) Floodplain inundation analysis combined with contingent valuation: implications for sustainable flood risk management. Nat Hazards 65(1):241–254Ĭhiang PK, Willems P (2013) Model conceptualization procedure for river (flood) hydraulic computations: case study of the Demer River, Belgium. ASCE, Reston, 3782–3787īutt MJ, Umar M, Qamar R (2013) Landslide dam and subsequent dam-break flood estimation using HEC-RAS model in Northern Pakistan. North American Water and Environment Congress & Destructive Water. Hydrologic Engineering Center, Davisīrunner GW (2010) HEC-RAS (River Analysis System). Eur Sci J ES J 30(32):12īrunner GW (1995) HEC-RAS River analysis system. Int J Eng Res 1:188–191Īhmad HF, Alam A, Bhat MS, Ahmad S (2016) One dimensional steady flow analysis using HECRAS-a case of River Jhelum, Jammu and Kashmir. ESRI Press, New YorkĪgrawal R, Regulwar DG (2016) Flood analysis of Dhudhana River in Upper Godavari Basin using HEC-RAS. Hydrologic and Hydraulic Modeling Support with Geographic Information Systems. HEC-GeoRAS (2000) linking GIS to hydraulic analysis using ARC/INFO and HEC-RAS. This methodology can be used for urban planning and disaster management for various cities situated near the rivers in the world.Ībdo G, Nasr AE (2012) An improved flood forecasting model of the Blue Nile River in Sudan. Univ Khartoum Eng J 2(1):27–30.
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Further, this study indicates that a larger area nearby the study area falls in highly risky zone and plan for safety management is needed. In this regard, WSE level for upcoming 100, 5 years was estimated by Gumbel’s distribution method and found maximum stage 89.367, 90.568 and 92.268 m, respectively, above from mean sea level. The findings of HEC-RAS modeling indicate that applicability of this model can play the effective role to predict flood potential and identify the WSE in future for making the plan for any city situated near the river. After that, the modeled output data was compared with real observed data and no significance difference in most of the cases was observed.
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HEC-RAS modeling was carried out for determine flood events or WSE/HFL (High Flood Level) of the year 19–2014. In this study three stations were selected for calibration of the model, at present these stations are also being used by various government organizations of India for river stage monitoring. The purpose of this study was to model the water surface elevation (WSE) of river Yamuna at district Allahabad near Sangam area, Uttar Pradesh, India by using the one of the latest flood monitoring tool (GFMS) which provides near real time discharge value of various streams of the world. Remote sensing and GIS tool like Global flood monitoring system (GFMS) and HEC-RAS model provide the idea to analyze the flood analysis and their potential. Floods always have been a natural disasters and it is very difficult to stop flood destruction and apply required preventive measures without any pre-prediction.