Determining the floodway and flood fringe of the Dinevar River using one-dimensional HEC-RAS model

Document Type : Research Paper

Authors

Department of Geography, Faculty of Earth Sciences, University of Shahid Beheshti., Tehran, Iran

Abstract

Flooding is one of the most destructive natural disasters that causes loss of life and financial problems in urban and rural areas. In addition, this risk is a concern worldwide, and Iran, like many countries, faces flooding problems in urban and rural areas. Protecting people's lives and property from floods is a duty assigned to governments, and countries have enacted specific laws to manage floods and protect riverbeds and riverbanks. This research aims to determine the flood limit and flood margin of the Dinevar River using the one-dimensional HEC-RAS model. First, geometric data was prepared with the help of HEC-GEORAS extension in GIS software. To estimate the instantaneous peak discharge, the instantaneous peak discharge was calculated using the Hyfran software and the flood zone was simulated with different return periods. Then, based on 130 cross-sections, the area adjacent to the river was divided into two parts: the floodway and flood fringe zones, based on the 100-year flood level increase of 1 foot. Method 4 (the user specifies target water level increase) was used to determine the floodplain limit. The results of this study showed that in the first reach, the floodplain limit coincided with the old terraces of the Dinevar River. In the second and third reaches of the Dinevar River, due to the reduction of topographic restrictions, the riverbed has expanded and reached to an average of 300 and 500 meters in the second and third reaches respectively.

Keywords

References

Andjelkovic, I. (2001). Guidelines on Non-Structural Measures in Urban Flood Management. United Nations Educational, Scientific and Cultural Organization, International Hydrological Programme, Paris: United Nations Educational, Scientific and Cultural Organization., pp.89.
Apoorva, Sh., Carter, E., Coltin, B., Sleeter, R., McMichael, S. & Eggleston, J. (2023). Mapping floods from remote sensing data and quantifying the effects of surface obstruction by clouds and vegetation. Remote Sensing of Environment, 291, 1-12.
Arizona department of water resource flood mitigation section, Delineation of Riverine Floodplains and Floodways in Arizona. 500 North Third Street Phoenix, 1996. 602, pp. 67 pages. Ghttps://new.azwater. gov/sites/ default/files/ SS2-96Riverine.PDF
Biron, P.M., Buffin-Bélanger, T., Larocque, M., Chone, G., Cloutier, C.-A., Ouellet, M.-A., Demers, S., Olsen, T., Desjarlais, C. & Eyquem, J. (2014). Freedom space for rivers: a sustainable management approach to enhance river resilience. Environmental Management, 54(5), 1056–1073.
Brierley, G, L. & Fryirs, K. (2005). Geomorphology and river management application of the river style framework, Blackwell Publishing, Malden, MA, pp. 398.
Bazrafshan, O., Shekari, M., Zamani, H., Dehghanpir, Sh. & Singh, V. P. (2021). Assessing hydrologic drought risk using multidimensional copulas: case study in Karkheh River basin. Environmental Earth Sciences, 80(538), 1-22.
Brunner, G.W. (2001). HEC-RAS River Analysis System: User's Manual. US Army Corps of Engineers, Institute for Water Resources. Hydrologic Engineering Center.
Clarke, S.E., Burnett, K.M. & Miller D.J. (2008). Modeling Streams and Hydrogeomorphologic Attributes in Oregon from Digital and Field Data. Journal of the American Water Resources Association (JAWRA), 44(2), 459-477.
Chaulagain, D., Ram Rimal, P., Noel Ngando, S., Kigha Nsafon, B. E., Suh, D. & Huh, J-S. (2023). Flood susceptibility mapping of Kathmandu metropolitan city using GIS-based multi-criteria decision analysis. Ecological Indicators, 154, 1-14.
COON, WILLIAM, F. 1996. Estimates of Roughness Coefficients for Selected Natural Stream Channels with Vegetated Banks in New York. U.S. DEPARTMENT OF THE INTERIOR BRUCE BABBITT, Secretary.
Fang, L., Huang, J., Cai, J. & Nitivattananon, V. (2022). Hybrid approach for flood susceptibility assessment in a flood-prone mountainous catchment in China. Journal of Hydrology, 612(2), 128091.
Gupta, L. & Dixit, J. (2022). A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level. Geocarto International, 37 (26),1-46.
Gunasekara, D. (2015). Planning for the Flood Fringe: A Comparative Analysis of Two Zone Concept Planning Policies Used by Conservation Authorities in Southern Ontario, School of Urban and Regional Planning Queen’s University Kingston, Ontario, Canada. pp.144.
Horritt, MS. & Bates P.D. (2002). Evaluation of 1D and 2D numerical models for predicting river flood inundation. Journal of Hydrology, 268(1-4), 87-99.
Hosseinzadeh, M. M. & Esmaeli. R. (2015). Fluvial geomorphology concepts, froms and processes. Puplisher Shahid Beheshti University Publication.336 pages. (Persian)
Hosseinzadeh. M.M., Khaleghi. S. & Panahi. R., (2022). Determining the floodway and flood fringe of the Gamasiab River, Kermanshah, Iran.  International Journal of Water (IJW), 15, 117-130.
Jibhakate. Sh. M., Timbadiya. P. V. & Patel. P. L. (2023). Multiparameter flood hazard, socioeconomic vulnerability and flood risk assessment for densely populated coastal city. Journal of Environmental Management, 344. 1-21.
Johansen. K., Phinn. Stuart. & Witte. Ch., (2010). Mapping of Riparian Zone Attributes Using Discrete Return LiDAR, QuickBird, and SPOT-5 Imagery: Assessing Accuracy and Costs. Remote Sensing of the Environment, 114(11), 2679-2691.
Kabenge, M., Elaru, J., Wang, H. & Li, F. (2017). Characterizing flood hazard risk in data scarce areas, using a remote sensing and GIS-based flood hazard index. Natural Hazards, 89 (3), 1369–1387.
Khosravi, K., Pourghasemi, H.R., Chapi, K. & Bahri, M. (2016). Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon's entropy, statistical index, and weighting factor models. Environmental Monitoring and Assessment, 188, 1-21.
Kia Abduli, K. (2014). Final report on the determination of boundaries and boundaries of rivers. Publications Applied Research of Iran Water Resources and Water Resources Management Company. (Persian)
Lyu, H.M., Shen, S. L,. Zhou, A., & Yang, J. (2019). Perspectives for flood risk assessment and management for mega-city metro system. Tunnelling and Underground Space Technology, 84.31-44.
Mishra, A., Mukherjee, S., Merz, B., Singh, V.P., Wright, D.B., Villarini, G., Paul, S., Kumar, D.N., Khedun, C.P., Niyogi, D., Schumann, G. & Stedinger, J.R. (2022). An overview of flood concepts, challenges, and future directions. Journal of Hydrologic Engineering, 27 (6), 03122001.
Masih I., Uhlenbrook, S., Maskey, S. & Smakhtin, V. (2011). Streamflow trends and climate linkages in the Zagros Mountains, Iran. Climatic Change, 104, 317–338.
Mejia-Navarro, M., Wohl, E.E. & Oaks, S.D. (1994). Geological hazards, vulnerability, and risk assessment using GIS: model for Glenwood Springs Colorado. Geomorphology, 10 (1), 331–354.
Mirghasemi, S. H., Banejad, H. & Farid Hossein, A. (2023). Application of remote sensing in hydraulic modeling and determination of riverbed boundaries (Case study: Ardak River). Journal of RS and GIS for Natural Resources, 14(1) 50, 24-48. (in Persian)
Namgyal, T., Thakur, D.A. & Mohanty, M.P. (2023). Are open-source hydrodynamic models efficient in quantifying flood risks over mountainous terrains? An exhaustive analysis of the Hindu-Kush-Himalayan region. Science of the Total Environment. 897(1), 1-22.
Nayyeri, H., kahrizi, Sh., Sanikhani, H. (2022). Analysis of the relationship between fractals and the dynamics governing watersheds, (case study Dinvar river basin in Kermanshah province, Iran). Environmental Earth Sciences, 81(515), 1-18.
Panahi, R., hoseinzadeh, M.M. & Khaleghi, S. (2019). Flood risk zonation in order to determine river flood fringe (Case study: Gamasiyab river). Journal of Echo Hydrology, 6(2), 553-567. (in Persian)
Panahi, R., Moshashaie, M. & Moshashaie, M. (2022). The Simulation of Mereg river floods using HEC_RAS hydraulic model (Case study: the distance between Dar Amroud Olya and Chalabeh Sofla villages, Mahidasht catchment, Kermanshah Province). Journal of Earth Science Researches, 12(4), 68-85. (in Persian)
Shahiri Tabarestani, E. & Afzalimehr, H. (2022). A comparative assessment of multi-criteria decision analysis for flood susceptibility modelling. Geocarto International, 37 (20), 5851–5874.
Voogd, J H. (1983). Multi criteria Evaluation for Urban and Regional Planning, Pion, London, 388p.
Yari, A., Ardalan, A., Ostadtaghizadeh. A., Zarezadeh. Y., Soufi Boubak ran, M., Bidarpoor, F., & Rahimiforoushani, A. (2019). Underlying factors affecting death due to flood in Iran: A qualitative content analysis. International Journal of Disaster Risk Reduction, 40, 1-20.
Journal of Environmental Studies
Volume 50, Issue 3
November 2024
Pages 263-280

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