IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v25y2011i14p3805-3835.html
   My bibliography  Save this article

Flood Inundation Modeling Using Nakagami-m Distribution Based GIUH for a Partially Gauged Catchment

Author

Listed:
  • S. Sarkar
  • R. Rai

Abstract

Flood inundation extent is highly dependent on intensive rainfall and topography of floodplain. This paper presents a study to develop a flood inundation model for partially gauged upper Ganga catchment. For design flood computations, 100-year return period of 1 h duration rainfall is adopted. This is obtained by intensity duration frequency (IDF) relationship based on Self Recording Rain Gauge (SRRG) data of the study area. The SCS-CN method is used for rainfall excess computations. The Nakagami-m distribution has been used to compute Geomorphological Instantaneous Unit Hydrograph (GIUH) of different sub-catchments of upper Ganga river system because of non-availability of observed hydrograph. Routing of the hydrograph has been done by the Kinematic Wave (KW) approach. KW equations have been solved through Preissmann implicit method. The most sensitive KW parameters (i.e. overland roughness and channel roughness) have been estimated for a stretch on river Bhagirathi, a tributary of river Ganga. Nakagami-m distribution based GIUHs have been fed at the upper (i.e. input to the proposed model) as well as at downstream point (i.e. output to the proposed model) of that river stretch. Consequently, KW parameters have been calibrated by comparing the computed hydrograph with output hydrograph. Validation of estimated KW parameters has been carried out in the catchment of river Alaknanda which is another significant tributary of river Ganga. Thereafter, adopted KW parameters have been applied to calculate the design flood peak at the outlet of study area i.e. downstream of Haridwar city. Computations of overtopping water above the natural levees downstream of Haridwar city have been carried out considering the levee as broad crested weir. Topographic features of the floodplain have been obtained from freely available Shuttle Radar Topography Mission (SRTM) data. Finally, extents of submerged areas in different flood hours corresponding to design rainfall have been developed by ArcGIS 9.2 software. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • S. Sarkar & R. Rai, 2011. "Flood Inundation Modeling Using Nakagami-m Distribution Based GIUH for a Partially Gauged Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3805-3835, November.
  • Handle: RePEc:spr:waterr:v:25:y:2011:i:14:p:3805-3835
    DOI: 10.1007/s11269-011-9890-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-011-9890-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-011-9890-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sanjay Jain & Arun Saraf & Ajanta Goswami & Tanvear Ahmad, 2006. "Flood inundation mapping using NOAA AVHRR data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 949-959, December.
    2. S. Mosquera-Machado & Sajjad Ahmad, 2007. "Flood hazard assessment of Atrato River in Colombia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(3), pages 591-609, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Javad Ahadiyan & Farhad Bahmanpouri & Atefeh Adeli & Carlo Gualtieri & Alireza Khoshkonesh, 2022. "Riprap Effect on Hydraulic Fracturing Process of Cohesive and Non-cohesive Protective Levees," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 625-639, January.
    2. R. Jaiswal & T. Thomas & R. Galkate & N. Ghosh & A. Lohani & Rakesh Kumar, 2014. "Development of Geomorphology Based Regional Nash Model for Data Scares Central India Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 351-371, January.
    3. Marcelle Baptista & Ricardo Valcarcel & Vandré Maya & Fernando Canto, 2014. "Selection of Preferred Floodplains for the Renaturalization of Hydrologic Functions: A Case Study of the Paraíba do Sul River Basin, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4781-4793, October.
    4. Anil Kumar, 2015. "Geomorphologic Instantaneous Unit Hydrograph Based Hydrologic Response Models for Ungauged Hilly Watersheds in India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 863-883, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chandra Sharma & Mukund Behera & Atmaram Mishra & Sudhindra Panda, 2011. "Assessing Flood Induced Land-Cover Changes Using Remote Sensing and Fuzzy Approach in Eastern Gujarat (India)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3219-3246, October.
    2. Guangyang Wu & Lanhai Li & Sajjad Ahmad & Xi Chen & Xiangliang Pan, 2013. "A Dynamic Model for Vulnerability Assessment of Regional Water Resources in Arid Areas: A Case Study of Bayingolin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3085-3101, June.
    3. Liwei Xing & Liang Chi & Shuqing Han & Jianzhai Wu & Jing Zhang & Cuicui Jiao & Xiangyang Zhou, 2022. "Spatiotemporal Dynamics of Wetland in Dongting Lake Based on Multi-Source Satellite Observation Data during Last Two Decades," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    4. R. Bharath & Amin Elshorbagy, 2018. "Flood mapping under uncertainty: a case study in the Canadian prairies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 537-560, November.
    5. Pankaj Mani & Chandranath Chatterjee & Rakesh Kumar, 2014. "Flood hazard assessment with multiparameter approach derived from coupled 1D and 2D hydrodynamic flow model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1553-1574, January.
    6. Eduardo Martínez-Gomariz & Carlos Barbero & Martí Sanchez-Juny & Edwar Forero-Ortiz & Marcos Sanz-Ramos, 2023. "Dams or ponds classification based on a new criterion to assess potential flood damage to roads in case of failure," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 625-653, May.
    7. Joy Sanyal & Alexander Densmore & Patrice Carbonneau, 2014. "2D Finite Element Inundation Modelling in Anabranching Channels with Sparse Data: Examination of Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2351-2366, June.
    8. Pierfranco Costabile & Francesco Macchione, 2012. "Analysis of One-Dimensional Modelling for Flood Routing in Compound Channels," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1065-1087, March.
    9. D. Nagesh Kumar & Falguni Baliarsingh & K. Srinivasa Raju, 2010. "Optimal Reservoir Operation for Flood Control Using Folded Dynamic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1045-1064, April.
    10. Rajesh Kumar & Prasenjit Acharya, 2016. "Flood hazard and risk assessment of 2014 floods in Kashmir Valley: a space-based multisensor approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 437-464, October.
    11. Ikramul Hasan & Weibo Liu & Chao Xu, 2023. "Monitoring and Analyzing the Seasonal Wetland Inundation Dynamics in the Everglades from 2002 to 2021 Using Google Earth Engine," Geographies, MDPI, vol. 3(1), pages 1-17, February.
    12. Shrestha, Eleeja & Ahmad, Sajjad & Johnson, Walter & Batista, Jacimaria R., 2012. "The carbon footprint of water management policy options," Energy Policy, Elsevier, vol. 42(C), pages 201-212.
    13. Manh Xuan Trinh & Frank Molkenthin, 2021. "Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 441-469, October.
    14. Noy, Ilan & Blanc, Elodie & Pundit, Madhavi & Uher, Tomas, 2023. "Nowcasting from Space: Impact of Tropical Cyclones on Fiji’s Agriculture," ADB Economics Working Paper Series 676, Asian Development Bank.
    15. Rahul Kumar Jaiswal & Gunja Dhruw & Sukant Jain & Ravi V. Galkate & Anil Kumar Lohani & Akhilesh Verma, 2023. "Efficient Segmentation Algorithm for Estimation of Revised Reservoir Capacities in Google Earth Engine," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3795-3812, August.
    16. José Sena & Leandro Beser de Deus & Marcos Freitas & Lazaro Costa, 2012. "Extreme Events of Droughts and Floods in Amazonia: 2005 and 2009," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1665-1676, April.
    17. Melesse, A.M. & Ahmad, S. & McClain, M.E. & Wang, X. & Lim, Y.H., 2011. "Suspended sediment load prediction of river systems: An artificial neural network approach," Agricultural Water Management, Elsevier, vol. 98(5), pages 855-866, March.
    18. Ibrahim Sufiyan & Razak Zakariya & Ibrahim Rosnan Yaacob, 2018. "Delineation Of Flood Risk Zones And 3D Modeling In Terengganu River Catchment Using Gis And Swat," Environment & Ecosystem Science (EES), Zibeline International Publishing, vol. 2(2), pages 1-5, January.
    19. Sananda Kundu & S. Aggarwal & Nanette Kingma & Arun Mondal & Deepak Khare, 2015. "Flood monitoring using microwave remote sensing in a part of Nuna river basin, Odisha, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 123-138, March.
    20. Alahacoon, Niranga & Matheswaran, Karthikeyan & Pani, Peejush & Amarnath, Giriraj, "undated". "A decadal historical satellite data and rainfall trend analysis (2001–2016) for flood hazard mapping in Sri Lanka," Papers published in Journals (Open Access) H048581, International Water Management Institute.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:25:y:2011:i:14:p:3805-3835. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.