Abstract
Flood computer modeling is one of the recent practices which is used for the prediction of the flood occurrence at different intervals of time. A study was conducted on Narai Drain Hayatabad, Peshawar, to produce flood plain maps by integrating Arc-GIS with the Hydraulic Modeling software HEC-RAS. The area in the vicinity of Narai Drain was inundated due to the catastrophic flood occurred in the year 2010, which caused huge damage to public property, livestock, communication, and infrastructure. In this study, the Narai Drain watershed was classified into three watersheds, namely Narai Drain Upper, Lower, and Regi Drain. GIS technology was used to delineate the watersheds while the discharges were computed using the WinTR-20 mode. Expected rainfall depths were obtained by using Log-Pearson type III Distribution for different return periods (i.e., 2, 5, 10, 25, 50, 100, 200). The area inundated by the flood was estimated by using HEC-RAS. These results were then incorporated in GIS to prepare flood inundation maps. Maximum inundation occurred in the sensitive area of Narai Drain Lower for a 10-year return period. The integrated modeling approach used in this study was found very useful to delineate the area vulnerable to flood with a good estimation of inundation depths at various discharge values. The results show that in the upper reach of the Narai Drain, most of the area lying near the flood zone was safe for a 100-year return period, while the lower reach was vulnerable even for a return period of 10 years.
Similar content being viewed by others
References
Al-Kouri O, Al-Rawashdeh S, Sadoun B, Sadoun B, Pradhan B (2013) Geospatial modeling for sinkholes hazard map based on GIS & RS data. J Geogr Inf Syst 5(06):584–592
Bao WM, Zhang XQ, Qu SM (2009) Dynamic correction of roughness in the hydrodynamic model. J Hydrodyn 21(2):255–263
Bates PD (2012) Integrating remote sensing data with flood inundation models: how far have we got? Hydrol Process 26(16):2515–2521
Bhagat M (2013) Parametric evalution for flood management. Int J Sci Eng Res 4(7):1147–1153
Chapi K, Singh VP, Shirzadi A, Shahabi H, Bui DT, Pham BT, Khosravi K (2017) A novel hybrid artificial intelligence approach for flood susceptibility assessment. Environ Model Softw 95:229–245
Chow VT (1959) Open-channel hydraulics. McGraw-Hill, New York city
Degiorgis M, Gnecco G, Gorni S, Roth G, Sanguineti M, Taramasso AC (2012) Classifiers for the detection of flood-prone areas using remote sensed elevation data. J Hydrol 470:302–315
Federal flood commission islamabad (FFCI) (2014). Annual flood report, Ministry of water and power, Government of Pakistan. Accessed 08 March 2015.
Fekete A (2009) Validation of a social vulnerability index in context to river-floods in Germany. Nat Hazard 9(2):393–403
Hamid A, Gray DD, Viadero RC Jr, Fortney RH (2004) Channel geomorphology relationships for the beaver creek watershed. West Virginia University Libraries, West Virginia
Kabiri R, Chan A, Bai R (2013) Comparison of SCS and green-ampt methods in surface runoff-flooding simulation for klang watershed in Malaysia. Open J Modern Hydrol 3(03):102–114
Kazakis N, Kougias I, Patsialis T (2015) Assessment of flood hazard areas at a regional scale using an index-based approach and analytical hierarchy process: application in Rhodope-Evros region, Greece. Sci Total Environ 538:555–563
Khan AN, Khan SN, Ali A (2010) Analysis of damages caused by flood-2010 in district Peshawar. J Sc Tech Univ Peshawar 36:11–16
Knebl M, Yang ZL, Hutchison K, Maidment D (2005) Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event. J Environ Manage 75(4):325–336
Kowalzig J (2008) Climate, poverty, and justice: what the Poznan UN climate conference needs to deliver for a fair and effective global deal. Oxfam Policy Pract: Climate Change Resil 4(3):117–148
Masoud BM, Hassanpour F (2013) Flood management of sistan river using levee. J Acad and Appl Stud 3(10):32–45
Muhammad J, Khan GD (2015) Win TR-20 application using statistical approaches for long term prediction of peak runoff rates in smaller watersheds of Pakistan. Hydrol Cur Res 6(1):1–4
Nikoo M, Ramezani F, Hadzima-Nyarko M, Nyarko EK, Nikoo M (2016) Flood-routing modeling with neural network optimized by social-based algorithm. Nat Hazards 82(1):1–24
Pakistan metrological department (PMD),(2015) Peshawar. http://www.pmd.gov.pk/meteorogram/kpk.php?district=Peshawar&division=Peshawar. Accessed 10 March 2015
Pradhan B, Shafiee M, Pirasteh S (2009) Maximum flood prone area mapping using RADARSAT images and GIS: kelantan river basin. Int J Geoinform 5(2):11–23
Rahmati O, Pourghasemi HR, Zeinivand H (2016a) Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province. Iran Geocarto Int 31(1):42–70
Rahmati O, Zeinivand H, Besharat M (2016b) Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomat Nat Haz Risk 7(3):1000–1017
Sadeghi S, Rad RJ (2005) Floodplain Zoning in an Iranian urban watershed using HEC-RAS hydraulic model and arcview GIS. Water Energy Abstr 15(1):69–82
Sarhadi A, Soltani S, Modarres R (2012) Probabilistic flood inundation mapping of ungauged rivers: linking GIS techniques and frequency analysis. J Hydrol 458:68–86
Timbadiya PV, Patel PL, Porey PD (2011) Calibration of HEC-RAS model on prediction of flood for lower Tapi River, India. J Water Resour Prot 3(11):805–811
USACE (1991) HEC-2: water surface profiles, user’s manual. U.S. Army Corps of Engineers, Hydrologic Engineering Center, Davis, Calif
USACE (2001) HEC-RAS: river analysis system, user’s manual. U.S. Army Corps of Engineers, Hydrologic Engineering Center, Davis, Calif
Yang J, Townsend RD, Daneshfar B (2006) Applying the HEC-RAS model and GIS techniques in river network floodplain delineation. Can J Civ Eng 33(1):19–28
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors have no conflict of interest.
Additional information
Communicated by Dr. Mohammad Valipour.
Rights and permissions
About this article
Cite this article
Salman, A., Hassan, S.S., Khan, G.D. et al. HEC-RAS and GIS-based flood plain mapping: A case study of Narai Drain Peshawar. Acta Geophys. 69, 1383–1393 (2021). https://doi.org/10.1007/s11600-021-00615-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11600-021-00615-4