Flood hazard mapping using the CCHE2D numerical model in the Hable-rud River-a reach located downstream of Bone-Kuh Village

Document Type : Research Article

Authors

1 PhD student in Watershed Management Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Iran.

2 Associate Professor, Faculty of Range and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resource, Iran.

Abstract

In this research, given the condition of the Hable-rud River in a reach placed downstream of Bone-Kuh Village in Semnan Province, probability of flood occurrence and consequent damages, and also the exposure of various valuable elements of the floodplain to floods, using the CCHE2D numerical model, the flood hazard map was created for the 100-year return period as the base-flood. This research aims to map the base-flood zone and to identify the areas exposed to the flood in line with flood risk management.  For this purpose, the required data for modeling, such as a large-scale topography map were prepared and flow characteristics (velocity and depth) were measured in the study area. Consequently, the computational grid has been assigned. To achieve the best simulation, the model calibration was performed by choosing the superior network and by changing the roughness coefficient. To evaluate the simulation, the model estimations were compared with the measured values for velocity and flow depth in three sections along the reach. For flow velocity, the model error was estimated to be 0.084 and 7.41% considering the RMSE and the MAE criteria, respectively. Given the flood hazard map created for the return period of 100-year, it is predicted that the area which is covered by orchards, croplands, and rangelands will be inundated with the base flood. Also, the analysis shows that about 18% of the study area is located in the moderate to high flood risk classes.  Providing the findings of this research to the local communities in the form of the map illustrating the position of various land uses on the 100-year return period flood zone can be very effective in enhancing awareness and flood risk perception of them.

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References (in Persian)
Kamanbedast, A.  (2011). CCHE2D software training (guideline for formation and simulation of sediment and flow pattern), Islamic Azad University of Ahvaz, 308 pages. [In Persian]
Khosravi, G. (2012). Numerical simulation of flow and sediment by CCHE2D model (Case study: downstream meander of Minab River), M.Sc. Thesis, Hormozgan University. [In Persian]
Khairizadeh, M., Maleki, J., Amunia, H. (2018). Zoning of flood risk potential in Mordeghachai catchment using ANP model. Quantitative Geomorphological Research. 1 (3), pp 39-56. [In Persian]
Malek Abbaslu, E. Haji Kendy, H., Mahmoudi Vanalia, M., Vosough, M. (2012). Flood zoning in alluvial rivers using two-dimensional model CCHE2D, 11th Iran Hydraulic Conference, Urmia, https://civilica.com/doc/186341. [In Persian]
Poorzaman, Saeed. Sadoddin, Amir. Bahremand, Abdulreza. (2017). Flood zonation with the discharge with different return periods using CCHE2D hydrodynamic model, Case study: Hablehroud river. Bonekooh region, the First International Conference and the Second National Conference on Agriculture, Environment and Food Security, Jiroft, https://civilica.com/doc/638431.  [In Persian]
Qomi Oili, Fereshteh., Sadeghian, Mohammad Sadegh., Javed, Amir Hussein., Mirbagheri, Seyed Ahmad., Flood Zone Simulation Using HEC- RAS Model, Case Study: Karun River between Qir Dam and Ahvaz, Quarterly Journal of Natural Resources Science and Technology, Year 5, Number 1, Spring 2010: 105-115.  [In Persian]
Raisi, A., Mehrfar, H., Mohammadi Motlagh, R., Motazedi, A. (2019) Investigation of sedimentation and susceptibility to erosion on the curve of rivers using the two-dimensional CCHE2D model (Case study: a reach of the Karkheh River). Quarterly Journal of Civil and Structural Engineering. 2 (3), pp 38-49. [In Persian]
Rostami, N., Kazemi, Y. (2019). Flood hazard zoning in Ilam city using AHP and GIS. Spatial Analysis of Environmental Hazards Journal. 6 (1), pp 179-192. DOI: 10.29252/jsaeh.6.1.10. [In Persian]
Yazdani M.R., Zolfaghari A.A. Investigating the effect of remote linking indices on the efficiency of river flow prediction (Case study: the Hable-rud River Basin). Rangeland and watershed management (Iranian natural resources). 1395 [cited 2021May02]; 69 (2): 515-528. Available from: https://www.sid.ir/fa/journal/ViewPaper.aspx?id=299264. [In Persian]
 
References (in English)
Acreman.S and Farquharson.T, 1992, Extracting topographic structure from digital elevation data for geographic information systems analysis. Photogrammetric Engineering and Remote Sensing, 54(11),1593-1600
Balica S.F. 3, Q. Dinh 2 and I. Popescu.(2015). Vulnerability and exposure in developed and developing countries: Large-scale assessments, In Hydro-Meteorological hazards, risks, and disasters, Ed.: Shroder, J.F., Paron, P., Baldassarre, G.D., Elsevier Pub. 288 pp.
Fernandez D.S. and M.A. Lutz. 2010. Urban Flood Hazard Zoning in Tucuman Province, Argentina, Using GIS and Multicriteria Decision Analysis, Engineering Geology, 111: 90-98
Jia,Y., Zhang,Y., Wang,S., Raible,A.,2006. Numerical Simulations of channel Response to the river in Structures in Arkansas river, The 7th Int. Conf. on Hydroscience and Engineering ICHE-2006. Sep. 10 – Sep. 13, Philadelphia, USA.
Salunkhe, S.S., Rao, S.S., Prabu, I. et al. (2018).Flood Inundation Hazard Modelling Using CCHE2D Hydrodynamic Model and Geospatial Data for Embankment Breaching Scenario of Brahmaputra River in Assam. J Indian Soc Remote Sens 46, 915–925. https://doi.org/10.1007/s12524-018-0749-3
Semswa (Southeast metro Stormwater authority), 2007. Floodplain terminology,  https://www. semswa. org/floodplain-terminology.aspx
  • Receive Date: 24 October 2020
  • Revise Date: 31 July 2021
  • Accept Date: 20 October 2021
  • First Publish Date: 20 October 2021
  • Publish Date: 22 May 2022