Skip to main content

Applications of a Physics Based Distributed Integrated Hydrological Model in Flood Risk Management

  • Conference paper
  • First Online:
Advances in Hydroinformatics

Part of the book series: Springer Water ((SPWA))

  • 949 Accesses

Abstract

A fully distributed, physics-based hydrologic modelling system, MIKE SHE, is used in several studies to simulate surface flow as runoff in case of flooding. The requirement for such model came from the necessity to simulate the hydrological processes and manage the flood risk for a stream network. The modelling tool is used to study new scenarios with modifications of structures, land use evolution and climate change. MIKE SHE, Système Hydrologique Européen, is a model within MIKE suite developed by DHI. It covers the major processes in the hydrologic cycle and includes process models for evapotranspiration, overland flow, unsaturated flow, groundwater flow, and channel flow and their interactions. MIKE SHE models are based on available spatial data such as land use, vegetation distribution and development, topography, pedology and hydraulic structures. The models are coupled with a fully dynamic one-dimensional river network modelling to ensure a good comprehension of the hydraulic dynamics inside the river. The models are calibrated based on remote sensing data and high-water marks from historical flooding events. For the Brivet river watershed, near to the Atlantic Ocean in France, the calibration of the model successfully reproduced the observed water levels at various gauging stations from rainfall measurements located inside the catchments. Once calibrated the model can be used to simulate scenarios to anticipate the evolution of the watershed such as urbanization or sea level rise in modifying the spatial data or structure regulation. In another case study located on a tributary of the Seine river, the model is applied to evaluate the benefits of stream renaturation and use of crop lands as flood expansion areas.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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

Similar content being viewed by others

References

  1. Gupta P, Singh R, Raghuwanshi N, Dutta S (2008) Effect of remotely sensed data on the performance of a distributed hydrological model: case study. J Hydrol Eng 13(10):939–947

    Article  Google Scholar 

  2. DHI (Danish Hydraulic Institute) (2017) MIKE SHE User and Reference Manual

    Google Scholar 

  3. Richards L (1931) Capillary conduction of liquids through porous mediums. J Appl Phys 1(5):318–333

    ADS  MATH  Google Scholar 

  4. Green W, Ampt G (1911) Studies in soil physics. J Agric Sci (England) 4:1–24

    Article  Google Scholar 

  5. van Genuchten MT (1980) A closed-from equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 882–898

    Google Scholar 

  6. Rawls WJ, Brakensiek D, Miller N (1983) Green-ampt infiltration parameters from soils data. J Hydraul Eng 109:62–70

    Article  Google Scholar 

  7. Kirstensen K, Jensen S (1975) A model for estimating actual evaporation from potential evapotranspiration. Royal Veterinary and Agricultural University, Nordic Hydrology, pp 170–188

    Google Scholar 

  8. IPCC Climate Change 2013 (2013) The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, NY

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Erwan Allard .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Allard, E., Ducatez, JP. (2022). Applications of a Physics Based Distributed Integrated Hydrological Model in Flood Risk Management. In: Gourbesville, P., Caignaert, G. (eds) Advances in Hydroinformatics. Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-19-1600-7_22

Download citation

Publish with us

Policies and ethics