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Flood Inundation Hazard Modelling Using CCHE2D Hydrodynamic Model and Geospatial Data for Embankment Breaching Scenario of Brahmaputra River in Assam

  • Sagar S. Salunkhe
  • S. S. Rao
  • I. Prabu
  • V. Raghu Venkataraman
  • Y. V. N. Krishna Murthy
  • Chintamani Sadolikar
  • Supriya Deshpande
Research Article
  • 100 Downloads

Abstract

In many flood prone river basins, water inundates vast areas of land causing loss of life and heavy damage to the dwellings in flood plains. It also impacts agricultural productivity and cause severe economic losses. One of the reasons for flooding in plains of Brahmaputra valley in north east India is embankment breaching. In this study, an attempt was made for probabilistic flood hazard modelling of July 2008 embankment breaching scenario of Brahmaputra river at Matmara village, Lakhimpur district in Assam, based on various numerical simulations with the help of Center for Computational Hydro science and Engineering hydro-dynamic model. The methodology was applied over 2146 km2 flood prone area. Data inputs in the study include: Advanced Spaceborne Thermal Emission and Reflection Radiometer Digital Elevation Model, Pre-flood and Post flood satellite images of Landsat Enhanced Thematic Mapper Plus (ETM+) and other ancillary data. The simulation was carried out for various discharge levels based on flood frequency analysis. The result of the model includes spatial variations of inundated water depth and water velocity. The results were validated by comparing it with the post-flood ETM+ data and flood situation status report of National Informatics Centre. Flood hazard maps were prepared by carrying out a spatial analysis of simulated inundation depth and velocity. It was seen that the majority of flooded area fell into the very high and high categories. This information can be used to plan appropriate cost effective flood mitigation schemes.

Keywords

CCHE2D Hydrodynamic model Flood inundation hazard modelling Brahmaputra river Embankment breaching 

Notes

Acknowledgements

The authors express their gratitude to Dr. Hemant Darbari, Director General (in-charge) and Executive Director, C-DAC, Pune and Shri Uday Raj, CGM, RC, NRSC for providing support and facility to carry out the work. We are thankful to Mr. Sandeep Kumar Srivastava, Ms. Asima Mishra, Dr. Yogesh Kumar Singh and Ms. Upasana Dutta, staff members of Emerging Solutions and e-Governance Group, C-DAC, Pune for providing guidance and support to carry out the work. We are also thankful to Dr. Subashisa Dutta, Professor and Head, Department of Civil Engineering, Indian Institute of Technology, Guwahati for sharing useful information and ancillary data used in the study. The authors are also grateful to the anonymous reviewers for their constructive comments and suggestions which improved the quality of the manuscript.

Supplementary material

12524_2018_749_MOESM1_ESM.docx (3.5 mb)
Supplementary material 1 (DOCX 3585 kb)

References

  1. ACER Technical Memorandum No. 11. (1988). Assistant Commissioner-Engineering and Research, Downstream Hazard Classification Guidelines, Denver, Colorado, U.S. Department of the Interior, Bureau of Reclamation. https://www.arcc.osmre.gov/resources/impoundments/USBR-TechMemo11-DownstreamHazardClassificationGuidelines1988.pdf.
  2. ASTER GDEM Validation Team. (2011). ASTER Global Digital Elevation Model Version 2—Summary of validation results. METI & NASA. http://www.jspacesystems.or.jp/ersdac/GDEM/ver2Validation/Summary_GDEM2_validation_report_final.pdf.
  3. Baldassarre, G. D., Castellarin, A., Montanari, A., & Brath, A. (2009). Probability-weighted hazard maps for comparing different flood risk management strategies: A case study. Natural Hazards.  https://doi.org/10.1007/s11069-009-9355-6.Google Scholar
  4. Bates, P. D., & De Roo, A. P. J. (2000). A simple raster-based model for flood inundation simulation. Journal of Hydrology, 236(1–2), 54–77.CrossRefGoogle Scholar
  5. Biswas, N. B., & Ahammad, B. M. (2014). Application of CCHE2D mathematical model in the Gorai Offtake for two-dimensional simulation. International Journal of Surface and Groundwater Management, 1(1), 52–58.Google Scholar
  6. Bora, M. C. (2010). The flood situation of Assam—A case study. In Fourth international scientific conference: BALWOIS 2010—On water observation and information system for decision support, Ohrid, Republic of Macedonia, May 25–29, 2010. https://www.researchgate.net/publication/264878734_The_Flood_Situation_of_Assam_-_A_Case_Study.
  7. Durga Rao, K. H. V., Shravya, A., Venkateshwar Rao, V., Dadhwal, V. K., & Diwakar, P. G. (2017). Flash flood disaster threat to Indian rail bridges: A spatial simulation study of Machak River flood, Madhya Pradesh. Current Science, 112(5), 1028–1033.CrossRefGoogle Scholar
  8. Dutta, S., Medhi, H., Karmaker, T., Singh, Y., Prabu, I., & Dutta, U. (2010). Probabilistic flood hazard mapping for embankment breaching. ISH Journal of Hydraulic Engineering, 16(1), 15–25.  https://doi.org/10.1080/09715010.2010.10515012.CrossRefGoogle Scholar
  9. Gogoase, D. E. N., Armas, I., & Ionescu, C. S. (2011). Inundation maps for extreme flood events at the mouth of the Danube river. International Journal of Geosciences, 2, 68–74.CrossRefGoogle Scholar
  10. Gogoi, C., Goswami, D. C., & Phukan, S. (2013). Flood risk zone mapping of the Subansiri sub-basin in Assam, India. International Journal of Geomatics and Geosciences, 4(1), 75–88.Google Scholar
  11. Gopalakrishnan, M. (2002). The international seminar on disaster preparedness and mitigation. Central Water Commission, New Delhi, India, 21 November 2002.Google Scholar
  12. Hasan, Z. A., Ghani, A. A., & Zakaria, N. A. (2007). Application of 2-D modelling for Muda river using CCHE2D. In 2nd international conference on managing rivers in the 21st century: Solutions towards sustainable river basins, Riverside Kuching, Sarawak, Malaysia, June 6–8, 2007. http://redac.eng.usm.my/html/publish/2007_14.pdf.
  13. Hossain, A., Easson, G., Justice, V. J., & Mita, D. (2007). Mapping flood extent, flood dynamics, and crop damage assessment using radar imagery analysis. In Mid-South annual engineering and sciences conference (MAESC), Oxford Conference Center Oxford, MS, May 17–18, 2007.Google Scholar
  14. Hossain, A. K. M. A., Jia, Y., & Chao, X. (2009). Estimation of Manning’s roughness coefficient distribution for hydrodynamic model using remotely sensed land cover features. In IEEE 17th international conference on geoinformatics, George Mason University, Fairfax, VA, USA, August 12–14, 2009.  https://doi.org/10.1109/geoinformatics.2009.5293484.
  15. Hussein, R. A., Ghani, A. A., Zakaria, N. A., Ahmd, M. S. S., & Hasan, Z. A. (2007). Modeling floodplain inundation by integration of hydrological with hydraulic model, case study: Muda river, Kedah. In 2nd international conference on managing rivers in the 21st century: Solutions towards sustainable river basins, Riverside Kuching, Sarawak, Malaysia, June 6–8, 2007. http://redac.eng.usm.my/html/publish/2007_15.pdf.
  16. Jeb, D. N., & Aggarwal, S. P. (2008). Flood inundation hazard modelling of the river Kaduna using remote sensing and geographic information systems. Journal of Applied Sciences Research, 4(12), 1822–1833.Google Scholar
  17. Jonkman, S. N., & Vrijling, J. K. (2008). Loss of life due to floods. Journal of Flood Risk Management, 1(1), 43–56.  https://doi.org/10.1111/j.1753-318X.2008.00006.x.CrossRefGoogle Scholar
  18. Karrnaker, T., & Dutta, S. (2010). Generation of synthetic seasonal hydrographs for a large river basin. Journal of Hydrology, Elsevier, 381(1–2), 287–296.CrossRefGoogle Scholar
  19. NDMA. (2008). National disaster management guidelines—Management of floods, New Delhi, Government of India. http://www.ndma.gov.in/images/guidelines/flood.pdf.
  20. NIC Lakhimpur. (2008). Flood situation status report of Dhakuakhana Sub-Division on Brahmaputra Dyke, July 23, 2008. http://lakhimpur.nic.in/Dhakuakhanaflood2008.ppt.
  21. Ohl, C. A., & Tapsell, S. (2000). Flooding and human health: The dangers posed are not always obvious. British Medical Journal, 321, 1167–1168.  https://doi.org/10.1136/bmj.321.7270.1167.CrossRefGoogle Scholar
  22. Patel, D. P., Ramirez, J. A., Srivastava, P. K., Bray, M., & Han, D. (2017). Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: A case application of the new HEC-RAS 5. Natural Hazards, 89(1), 93–130.  https://doi.org/10.1007/s11069-017-2956-6.CrossRefGoogle Scholar
  23. Patro, S., Chatterjee, C., Mohanty, S., Singh, R., & Raghuwanshi, N. S. (2009). Flood inundation modeling using MIKE FLOOD and remote sensing data. Journal of Indian Society of Remote Sensing, 37, 107–118.CrossRefGoogle Scholar
  24. Pradhan, B., Pirasteh, S., & Shafie, M. (2009). Maximum flood prone area mapping using RADARSAT images and GIS: Kelantan river basin. International Journal of Geoinformatics, 5(2), 11–23.Google Scholar
  25. Sarma, J. N. (2005). Fluvial process and morphology of the Brahmaputra river in Assam, India. Geomorphology, 70, 226–256.CrossRefGoogle Scholar
  26. ShahiriParsa, A., Noori, M., Heydari, M., & Rashidi, M. (2016). Floodplain zoning simulation by using HEC-RAS and CCHE2D models in the Sungai Maka river. Air, Soil and Water Research, 9, 55–62.  https://doi.org/10.4137/ASWR.S36089.CrossRefGoogle Scholar
  27. ShahiriParsa, A., Qalo, N., Heydari, M., & bt Mohd Amin, N. F. (2013). Introduction to floodplain zoning simulation models through dimensional approach. International Journal of Advances in Civil, Structural, and Environmental Engineering, 1(1), 20–23.Google Scholar
  28. Shivaprasad Sharma, S. V., Roy, P. S., Chakravarthi, V., Srinivasarao, G., & Bhanumurthy, V. (2016). Extraction of detailed level flood hazard zones using multi-temporal historical satellite data-sets—A case study of Kopili River Basin Assam India. Geomatics, Natural Hazards and Risk..  https://doi.org/10.1080/19475705.2016.1265014.Google Scholar
  29. Singh, V. P., & Sharma, N. (2004). The Brahmaputra basin water resources. Netherlands: Kluwer Academic.CrossRefGoogle Scholar
  30. Singh, Y. K., Dutta, U., Murugesh Prabhu, T. S., Prabu, I., Mhatre, J., Khare, M., et al. (2017). Flood response system—A case study. Hydrology, 4(2), 30.  https://doi.org/10.3390/hydrology4020030.CrossRefGoogle Scholar
  31. Waghmare, M. S., Hire, R., & Hailkar, S. (2015). A review on evaluation and development of effective flood forecasting, warning and response system. IOSR Journal of Mechanical and Civil Engineering, 137–141. http://www.iosrjournals.org/iosr-jmce/papers/NCIEST/Volume%202/18.137-141.pdf.
  32. Ying, X., Khan, A. A., & Wang, S. S. Y. (2004). An upwind conservative scheme for Saint Venant equations. Journal of Hydraulic Engineering, 130(10), 977–987.CrossRefGoogle Scholar
  33. Zhang, Y. (2006a). CCHE-GUI-graphical user interface for the NCCHE model, version 3.0, user’s manual. National Center for Computational Hydroscience and Engineering, University of Mississippi, USA. Technical report no. NCCHE-TR-2006-02.Google Scholar
  34. Zhang, Y. (2006b). CCHE-GUI-graphical user interface for the NCCHE model, version 3.0, quick start guide. National Center for Computational Hydroscience and Engineering, University of Mississippi, USA. Technical report no. NCCHE-TR-2006-03.Google Scholar
  35. Zhang, Y. (2009a). CCHE-MESH-2D structured mesh generator, version 3.x, user’s manual. National Center for Computational Hydroscience and Engineering, University of Mississippi, USA. Technical report no. NCCHE-TR-2009-01.Google Scholar
  36. Zhang, Y. (2009b). CCHE-MESH-2D structured mesh generator, version 3.x, quick start guide. National Center for Computational Hydroscience and Engineering, University of Mississippi, USA. Technical report no. NCCHE-TR-2009-02.Google Scholar
  37. Zhao, D. H., Shen, H. W., Tabios, G. Q., Lai, J. S., & Tan, W. Y. (1994). Finite-volume two-dimensional unsteady-flow mode for river basin. Journal of Hydraulic Engineering, ASCE, 120(7), 863–882.CrossRefGoogle Scholar

Copyright information

© Indian Society of Remote Sensing 2018

Authors and Affiliations

  • Sagar S. Salunkhe
    • 1
  • S. S. Rao
    • 1
  • I. Prabu
    • 2
  • V. Raghu Venkataraman
    • 3
  • Y. V. N. Krishna Murthy
    • 3
  • Chintamani Sadolikar
    • 4
  • Supriya Deshpande
    • 5
  1. 1.Regional Remote Sensing Centre-West, NRSC, ISROJodhpurIndia
  2. 2.Emerging Solutions and e-Governance GroupC-DACPuneIndia
  3. 3.National Remote Sensing Centre, ISROBalanagarIndia
  4. 4.TomTom India Private LimitedPuneIndia
  5. 5.S. N. Joshi Consultants Private LimitedPuneIndia

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