Skip to main content

Modelling and Assessment of Flood Discharge Based on Intensity-Duration-Frequency Curves in Kuttanad District, Kerala, India

  • Chapter
  • First Online:
Groundwater Resources Development and Planning in the Semi-Arid Region
  • 678 Accesses

Abstract

Flood is an unusual high stage of a river overflowing over its banks, inundating the marginal lands. Floods can be caused in a number of different ways; however the dominant cause of flooding in South India is rainfall. Though it is impossible to predict when a flood event is going to occur, it is possible to predict the damage which would be caused by a flood. In addition to spatial data, historical rainfall data and discharge data is required to generate the IDF curves and to calibrate the hydrologic model. During August 2018, severe floods affected the south Indian state of Kerala, due to unusually high rainfall during the monsoon season. This work addresses the steps required to perform a flood inundation mapping study using HEC-RAS and will present a case study, demonstrating the capabilities of HEC-RAS and HEC-GeoRAS.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Abera, Z. (2011). Flood mapping and modeling on Fogera flood plain: A case study of Ribb River. Addis Ababa: M.Sc thesis, Depatment of Civil Engineering, Addis Ababa University.

    Google Scholar 

  • Azeb, W., Florian, Z., & Wolfram, M. (2018). Assessing land use and land cover changes and agricultural farmland expansions in Gambella region, Ethiopia, using Landsat 5 and sentinel 2a multispectral data. Helyon, 8(4), 1–28.

    Google Scholar 

  • Bhuiyan, M. S. R. (2014). Flood Hazard and vulnerability assessment in a riverine flood prone area: A case study. Dhaka: M.Sc. thesis, Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET).

    Google Scholar 

  • Chudasama, M. K., Dihora, G. V., & Chauhan, D. R. (2018). Flood modeling for computation of submergence area using arc GIS, HEC Georas & Hecras. International Journal for Research in Applied Science & Engineering Technology, Issue, 6, 4.

    Google Scholar 

  • Edsel, B., Janey, V., Camp, E., LeBoeuf, J., Penrod, J. P., Dobbins, M., & Abkowitz, D. (2011). Watershed modelling and its applications: A state-of-the-art review. The Open Hydrology Journal, 5, 26–50.

    Article  Google Scholar 

  • Galoie, M., Eslamian, S., & Motamedi, A. (2014). An investigation of the influence of a retention dam on flood control in a small catchment area in Austria. Journal of Flood Engineering, 5(1–2), 1–15.

    Google Scholar 

  • Hasan, S. M. I. (2006). Application of geoinformatics for flood study at Tarapur Union of Gaibandha. Dhaka: M.Sc, thesis, Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET).

    Google Scholar 

  • Hazarika, M. (2007). Capacity building in applications of geoinformatics in flood hazard mapping fo bagmati river in Nepal. Technical report. Bangkok: Geoinformatics Center (GIC), Asian Institute of Technology (AIT).

    Google Scholar 

  • Hicks, F. E., & Peacock, T. (2005). Suitability of hec-ras for flood forecasting. Canadian Water Resources Journal, 30(2), 159–174.

    Article  Google Scholar 

  • Iosub, M., Enea, A., Hapciuc, O. E., Romanescu, G., & Minea, I. (2014). Flood risk assessment for the Ozana river sector corresponding to Leghin village, Romania. In 14th SGEM GeoConference on Water Resources: Forest, Marine And Ocean Ecosystems, SGEM2014 Conference Proceedings (Vol. 1, pp. 315–322). Sofia: Secretariat Bureau. ISBN 978-619-7105-13-1/ISSN 1314-2704, June 19–25.

    Google Scholar 

  • Iosub, M., & Lesenciuc, D. (2012). Hydrological risk characteristics of the Ozana river valley. Universităţii Iaşi, 6(2), 210.

    Google Scholar 

  • Islam, A. S., Bala, S. K., & Haque, M. A. (2010). Flood inundation map of Bangladesh using modis time-series images. Journal of Flood Risk Management, 3(3), 210–222.

    Article  Google Scholar 

  • Joorabian, S. S., Kamran, S., Gholamalifard, M., Azari, M., SerranoNotivoli, R., & Ignacio López-Moreno, J. (2017). Impacts of future land cover and climate change on the water balance in northern Iran. Hydrological Sciences Journal, 2150–3435.

    Google Scholar 

  • Khan, S. A. (2009). Flood management in bangladesh. Tampere: M.Sc. thesis, Department of Environmental Engineering, Tampere Polytechnic University of Applied Sciences.

    Google Scholar 

  • Knebl, M. R., Yang, Z. L., Hutchison, K., & Maidment, D. R. (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. Journal of Environmental Managemen, 75(4), 325–336.

    Article  CAS  Google Scholar 

  • Liang, K., Liu, C., & Song, X. (2013). Impacts of climate variability and human activity on streamflow decrease in a sediment concentrated region in the middle Yellow River. Stochastic Environmental Research and Risk Assessment, 27, 1741–1749.

    Article  Google Scholar 

  • Naef, F., Scherrer, S., & Weiler, M. (2002). A process based assessment of the potential to reduce flood runoff by land use change. Journal of Hydrology, 267, 74–79.

    Article  Google Scholar 

  • Onus, G. L. (2005). Floodplain management based on HEC-RAS modelling system. Izmir: Ph.D. thesis, Dokuz Eyl¨ul Universitesi fen ¨ Bilimleri Enstit¨us¨u.

    Google Scholar 

  • Pande, C., & Moharir, K. (2014). Analysis of land use/land cover changes using remote sensing data and GIS techniques of Patur Taluka, Maharashtra, India. International Journal of Pure and Applied Research in Engineering and Technology, 2(12), 85–92.

    Google Scholar 

  • Pande, C. B. (2020a). Introduction. In Sustainable watershed development. Springer briefs in water science and technology. Cham: Springer. https://doi.org/10.1007/978-3-030-47244-3_1.

    Chapter  Google Scholar 

  • Pande, C. B. (2020b). Watershed management and development. In Sustainable watershed development. Springer briefs in water science and technology. Cham: Springer. https://doi.org/10.1007/978-3-030-47244-3_2.

    Chapter  Google Scholar 

  • Pande, C. B. (2020c). Thematic mapping for watershed development. In Sustainable watershed development. Springer briefs in water science and technology. Cham: Springer. https://doi.org/10.1007/978-3-030-47244-3_3.

    Chapter  Google Scholar 

  • Pande, C. B. (2020d). Sustainable watershed development planning. In Sustainable watershed development. Springer briefs in water science and technology. Cham: Springer. https://doi.org/10.1007/978-3-030-47244-3_4.

    Chapter  Google Scholar 

  • Pande, C. (2014). Change detection in land use/land cover in Akola taluka using remote sensing and GIS technique. International Journal of Research (IJR), 1(8), ISSN 2348-6848.

    Google Scholar 

  • Pande, C. B., Khadri, S. F. R., Moharir, K. N., & Patode, R. S. (2017). Assessment of groundwater potential zonation of Mahesh River basin Akola and Buldhana districts, Maharashtra, India using remote sensing and GIS techniques. Sustainable Water Resources Management, 4, 965–979. https://doi.org/10.1007/s40899-017-0193-5. ISSN 2363-5037.

    Article  Google Scholar 

  • Pande, C. B., Moharir, K. N., Khadri, S. F. R., & Patil, S. (2018). Study of land use classification in the arid region using multispectral satellite images. Applied Water Science, 8(5), 1–11.

    Article  CAS  Google Scholar 

  • Patode, R. S., Nagdeve, M. B., Pande, C. B., & Moharir, K. N. (2017). Land use and land cover changes in Devdari watershed Tq. Patur, Distt. Akola, of Vidarbha region in Maharashtra. Trends in Biosciences, 10(8), 1622–1625.

    Google Scholar 

  • Pikounis, M., Varanou, E., Baltas, E., Dassaklis, A., & Mimikou, M. (2003). Application of the SWAT model in the Pinios River basin under different land use scenarios. Global Nest: The International Journal, 5, 71–79.

    Google Scholar 

  • Ram Babu, Tejwani, K. G., Agarwal, M. C. & Bhushan, L. S. (1979). Rainfall Intensity Duration - return period equations and nomographs of India, CSWCRTI, ICAR, India.

    Google Scholar 

  • Reddy, D. M., Patode, R. S., Nagdeve, M. B., Satpute, G. U., & Pande, C. B. (2017). Land use mapping of the Warkhed micro-watershed with geo-spatial technology. Contemporary Research in India, 7(3), ISSN 2231–2137.

    Google Scholar 

  • Sherman, C. W. (1931). Frequency and intensity of excessive rainfall at Boston, Massachusetts, Transaction paper, 95, 951–960.

    Google Scholar 

  • Sudha, Y. (2012). A hybrid approach of integrating HEC RAS and GIS towards the identification and assessment of flood risk vulnerability in the city of Jackson. American journal of Geographic Information System, 1(1), 7–16.

    Article  Google Scholar 

  • Sunil kumar Morais, C., Girish, T. E., Baburaj, M. S., & Abhilash Kumar, R. G. (2018). On the spatial variations of Rainfall in Kerala during the Great Floods in the year 1924. International Journal of Scientific Research and Reviews, 7(4), 1700–1709.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Brema .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Brema, J., Benny, M.K. (2021). Modelling and Assessment of Flood Discharge Based on Intensity-Duration-Frequency Curves in Kuttanad District, Kerala, India. In: Pande, C.B., Moharir, K.N. (eds) Groundwater Resources Development and Planning in the Semi-Arid Region. Springer, Cham. https://doi.org/10.1007/978-3-030-68124-1_25

Download citation

Publish with us

Policies and ethics