Skip to main content
Log in

Hydrodynamic modelling approach for scientific assessment of flood-prone areas at basin scale

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

Scientific assessment of flood-prone areas under different return periods is very vital input in designing any hydraulic structures and in flood disaster risk reduction. Satellite based flood maps provides information on flood extent in any area as per its date of satellite pass and its extent only. Computing spatial flood depth and velocity at different return periods using very high resolution digital terrain models is important parameters in flood risk assessment. This study addresses scientific assessment of flood prone areas and risk assessment using hydrodynamic modelling approach in the Godavari Basin, India. Considering the drainage pattern, the floodplains of the basin is divided into 5 stretches. 30 years daily historic discharge data of all these stretches at both upstream and downstream are analysed. Considering the statistical distribution pattern of historic discharge data, Log-Pearson Type III method was used in computing flood magnitudes of different return periods for each stretch. Very high resolution Digital Terrain Model is used in flood inundation simulation for different return period floods under unsteady flow conditions. Manning’s roughness parameters are extracted using satellite based land use grids. Spatial variation of flood depths and velocities are analysed and risk at different return periods are computed.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Data availability

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

References

  • Baky MdAAl, Islam M, Paul S (2019) Flood Hazard, vulnerability and risk assessment for different land use classes using a flow model. Earth Syst Environ 4:225–244

    Article  Google Scholar 

  • Chow, V. T., D. R. Maidment, and L. W. Mays (1988) Applied hydrology, New York, McGraw-Hill.

  • Daffi RE, Otun JA, Ismail A (2014) Flood hazard assessment of River DEP floodplains in North-Central Nigeria. Int J Water Res Environ Eng 6(2):67–72

    Article  Google Scholar 

  • Durga Rao KHV, Shravya A, Dadhwal VK (2020) A novel method of satellite based river discharge estimation using river hydraulic geometry through genetic algorithm technique. J Hydrol. https://doi.org/10.1016/j.jhydrol.2020.125361

    Article  Google Scholar 

  • Engeland K, Wilson D, Borsányi P, Roald L, Holmqvist E (2018) Use of historical data in flood frequency analysis: a case study for four catchments in Norway. Hydrol Res 49(2):466–486

    Article  Google Scholar 

  • Hydrodynamic Module FM (2017) MIKE 21 Flow Model FM Hydrodynamic Module FM User Guide. DHI. 11–12. https://manuals.mikepoweredbydhi.help/2017/Coast_and_Sea/MIKE_FM_HD_2D.pdf

  • Kalimisetty S, Singh A, Durga Rao KHV, Rao VV, Mahammood V (2021) 1D and 2D model coupling approach forthe development of operational spatial flood early warning system. Geocarto Int. https://doi.org/10.1080/10106049.2021.1886335

    Article  Google Scholar 

  • Karim F, Armin MA, Ahmedt-Aristizabal D, Tychsen-Smith L, Petersson L (2023) A review of hydrodynamic and machine learning approaches for flood inundation modeling. Water 15(3):566. https://doi.org/10.3390/w15030566

    Article  Google Scholar 

  • Nogherotto R, Fantini A, Raffaele F, Di Sante F, Dottori F, Coppola E, Giorgi F (2019) An integrated hydrological and hydraulic modelling approach for the flood risk assessment over Po river basin. Nat Hazards Earth Syst Sci 356:1–22

    Google Scholar 

  • Ongdas N, Akiyanova F, Karakulov Y, Muratbayeva A, Zinabdin N (2020) Application of HEC-RAS (2D) for flood hazard maps generation for Yesil (Ishim) river in Kazakhstan. Water 12(267):1–20

    Google Scholar 

  • Quiroga VM, Kure S, Udo K, Mano A (2016) Application of 2D numerical simulation for the analysis of the Febrauary 2014 bolivian Amazonia flood: application of the new HEC-RAS version 5. Ribagua 3:25–33

    Article  Google Scholar 

  • Shivaprasad Sharma SV, Roy PS, Chakravarthi V, Srinivasarao G, Bhanumurthy V (2017) Extraction of detailed level flood hazard zones using multi-temporalhistorical satellite datasets – a case study of Kopili River Basin, Assam, India. Geomat Nat Hazards Risk 8(2):792–802

    Article  Google Scholar 

  • Stocker TF, Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) (2014) Climate change 2013: the physical science basis. Contribution of working Group I to the fifth assessment report of the intergovernmental panel on climate change (IPCC), Cambridge University press, Cambridge

  • Subramanya K (2013) Engineering hydrology. McGraw Hill Education (India) Private Limited, , New Delhi

    Google Scholar 

  • Suhartanto E, Limantara LM, Noviadriana D, Harta FI, Aryani KD (2018) Estimation of design flood with four frequency analysis distributions. Asian J Appl Sci Technol 2(1):13–27

    Google Scholar 

  • Tansar H, Babur M, Karnchanapaiboon SL (2020) Flood inundation modeling and hazard assessment in Lower Ping River Basin using MIKE FLOOD. Arab J Geosci 13(934):1–16

    Google Scholar 

  • Tingsanchali T, Karim F (2010) Flood-hazard assessment and risk-based zoning of a tropical flood plain: case study of the Yom River, Thailand. Hydrol Sci J 55(2):145–161. https://doi.org/10.3390/w14020161

    Article  Google Scholar 

  • Tingsanchali T, Promping T (2022) Comprehensive assessment of flood hazard, vulnerability, and flood risk at the household level in a municipality area: a case study of Nan province. Thailand. Water 14(2):161

    Google Scholar 

  • Tiwari V, Kumar V, Matin MA, Thapa A, Ellenburg WL, Gupta N, Thapa S (2020) Flood inundation mapping-Kerala 2018; harnessing the power of SAR, automatic threshold detection method and Google Earth Engine. PLoS ONE 15(8):1–17

    Article  Google Scholar 

  • Witold F, Krajewski L, Otto SV, Perez G (2023) Revisiting Turcotte’s approach: flood frequency analysis. Stoch Environ Res Risk Assess 37:2013–2022. https://doi.org/10.1007/s00477-022-02344-6

    Article  Google Scholar 

  • Yin J, Yu D, Yin Z, Wang J, Xu S (2012) Multiple scenario analyses of Huangpu River floodingusing a 1D/2D coupled flood inundation model. Nat Hazards 66:577–589

    Article  Google Scholar 

Download references

Acknowledgements

The authors sincerely acknowledge the support and guidance provided by Dr. Prakash Chauhan, Director, National Remote Sensing Centre (NRSC) and Dr. V.V. Rao, Deputy Director, Remote Sensing Applications, Area, NRSC. Field data support provided by Superintending Engineer, Godavari circle, Central Water Commission is greatly acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Sindhu.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sindhu, K., Singh, A., Rao, K.H.V.D. et al. Hydrodynamic modelling approach for scientific assessment of flood-prone areas at basin scale. Model. Earth Syst. Environ. 10, 983–1003 (2024). https://doi.org/10.1007/s40808-023-01820-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-023-01820-4

Keywords

Navigation