Floodplain Map** Using HECRAS Model and Geospatial techniques—A Case Study of Varanasi City

  • Chapter
  • First Online:
Making India Disaster Resilient

Abstract

Varanasi, an ancient city of India, lies on banks of River Ganga, one of the largest rivers of the world. Varanasi is proposed to be developed into a Smart City in the first phase of Indian Smart City Mission. The resilience of a city is its ability to persevere in the face of an emergency, so it can continue functioning despite serious challenges. Flood is a frequent phenomenon for Varanasi, but in recent years, it was deluged. The flood-risk zones map** makes the first step of flood control measures. In this chapter, a one-dimensional hydraulic model, i.e. HEC-RAS has been integrated with Remote sensing and GIS techniques to map the floodplain zones of Ganga River located around the city of Varanasi. The pre-processing includes geometry setup such as digitizing the stream centerline, right bank and the left bank of the river. SRTM DEM is used in ArcGIS software extension HEC-GeoRAS 4.3 for pre-processing of GIS data, i.e. derivation of the channel geometry for input to HEC-RAS. Next, HEC-RAS simulations were performed to generate a water surface profile for a given design flood condition. Finally, simulated results have been imported in ArcMap 10.1 and being overlaid with the DEM for obtaining flood risk zones and flood inundation maps. Floodplain map analysis shows that more than 300% area has a probability of inundation as compared to the normal flow of the river. The results of this research will be helpful in develo** a smart Varanasi, which will offer a safe habitation to its residents.

“Never trust the Rivers-an Ancient Sanskrit Couplet”

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 117.69
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
EUR 149.79
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Baral, S. S., Das, J., Saraf, A. K., Borgohain, S., & Singh, G. (2016). Comparison of Cartosat, ASTER and SRTM DEMs of different terrains. Asian Journal of Geoinformatics, 16(1).

    Google Scholar 

  • Beavers, M. A. (1994). Floodplain determination using HEC-2 and geographic information systems. Doctoral dissertation, University of Texas at Austin.

    Google Scholar 

  • Brandt, S. A., Lim, N. J. (2012, September 5–7). Importance of river bank and floodplain slopes on the accuracy of flood inundation map**. In: International conference on fluvial hydraulics. River flow 2012 (pp. 1015–1020). CRC Press/Balkema (Taylor & Francis).

    Google Scholar 

  • Brandt, S. A. (2016). Modelling and visualizing uncertainties of flood boundary delineation: Algorithm for slope and DEM resolution dependencies of 1D hydraulic models. Stochastic Environmental Research and Risk Assessment, 30(6), 1677–1690.

    Article  Google Scholar 

  • Casas, A., Benito, G., Thorndycraft, V. R., & Rico, M. (2006). The topographic data source of digital terrain models as a key element in the accuracy of hydraulic flood modelling. Earth Surface Processes and Landforms: the Journal of the British Geomorphological Research Group, 31(4), 444–456.

    Article  Google Scholar 

  • Civil Protection. (2007). Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks.

    Google Scholar 

  • Cook, A., & Merwade, V. (2009). Effect of topographic data, geometric configuration and modeling approach on flood inundation map**. Journal of Hydrology, 377(1–2), 131–142.

    Article  Google Scholar 

  • Eck, D. L. (1999). Banaras, city of light. Columbia University Press.

    Google Scholar 

  • FEMA. (2006). Floodplain management requirements: A study guide and desk reference for local officials. Available at http://www.fema.gov/medialibrary-data/20130726-1539-20490-0241/nfip_sg_unit_3.pdf. Accessed on 10/2/2017.

  • Fernández, D. S. & Lutz, M. A. (2010). Urban flood hazard zoning in Tucumán province Argentina using GIS and multicriteria decision analysis. Engineering Geology, 111(1–4) 90–98. 10.1016/j.enggeo.2009.12.006.

  • Goodchild, M. F., Steyaert, L. T., & Parks, B. O. et al. (Eds.) (1996). GIS and environmental modeling: progress and research issues. Wiley.

    Google Scholar 

  • Handbook, H. (1996). ASCE manuals on engineering practice No. 28.

    Google Scholar 

  • Hutti, B., Noor Monsoor, C. M., Mahesh Bilwa, L. (2014). Flood hazard zonation map** using geoinformatics technology; Bennihalla Basin, Gadag and Dharwad District, Karnataka, India. International Journal of Engineering Research & Technology, ISSSN, 2278-0181.

    Google Scholar 

  • Kevin, S. (2010). Flood warning forecasting and emergency response. Heidelberg, Berlin: Springer Berlin.

    Google Scholar 

  • Kia, M. B., et al. (2012). An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environmental Earth Sciences, 67(1): 251–264.

    Google Scholar 

  • Kumar, R. (2016). Flood hazard assessment of 2014 floods in Sonawari sub-district of Bandipore district (Jammu&Kashmir): An application of geoinformatics. Remote Sensing Applications: Society and Environment, 4188–203. 10.1016/j.rsase.2016.10.002.

  • Kumar, A., Agarwal, V., Pal, L., Chandniha, S. K., &Mishra, V. (2021). Effect of land surface temperature on urban heat Island in Varanasi city India. J, 4(3), 420–429. 10.3390/j4030032.

  • Pachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ, R., ... & van Ypserle, J. P. (2014). Climate change 2014: Synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change (p. 151). Ipcc.

    Google Scholar 

  • Philip, A., Townsend, S., & Walsh, J. (1998). Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing. Geomorphology, 21(3–4), 295–312. 10.1016/S0169-555X(97)00069-X.

  • Qi, H., Qi, P., & Altinakar, M. S. (2013). GIS-Based spatial Monte Carlo analysis for integrated flood management with two dimensional flood simulation. Water Resources Management, 27(10), 3631–3645. 10.1007/s11269-013-0370-8.

  • Saini, S. S., Kaushik, S. P., & Jangra, R. (2016). Flood-risk assessment in urban environment by geospatial approach: A case study of Ambala City, India. Appl Geomat, 8, 163–190. https://doi.org/10.1007/s12518-016-0174-7.

  • Saksena, S. (2015). Investigating the role of DEM resolution and accuracy on flood inundation map**. In World environmental and water resources congress 2015 (pp. 2236–2243).

    Google Scholar 

  • Sanders, B. F. (2007). Evaluation of on-line DEMs for flood inundation modeling. Advances in Water Resources, 30(8), 1831–1843. 10.1016/j.advwatres.2007.02.005.

  • Sanyal, J., & Lu, X. X. (2004). Application of remote sensing in flood management with special reference to monsoon Asia: A review. Natural Hazards, 33(2), 283–301. 10.1023/B:NHAZ.0000037035.65105.95.

  • ShahiriParsa, A., Noori, M., Heydari, M., & Rashidi, M. (2016, January 9). Floodplain zoning simulation by using HEC-RAS and CCHE2D models in the Sungai Maka river. Air, Soil and Water Research. ASWR-S36089.

    Google Scholar 

  • Smart City: Mission Statement and Guidelines. (2015, June). Govt. of India, Ministry of urban development downloaded from http://164.100.161.224/upload/uploadfiles/files/SmartCityGuidelines(1).pdf.

  • Te Chow, Ven.(1959). Open channel hydraulics. New York: McGraw-Hill Book Company, Inc.

    Google Scholar 

  • Thakur, P. K., & Sumangala, A. (2006). Flood inundation map** and 1-D hydrodynamic modeling using remote sensing and GIS techniques. In: ISPRS orange book publications during ISPRS/ISRS commission IV symposium on: “Geospatial database for sustainable development” (pp. 27–30). Goa.

    Google Scholar 

  • The Indian Express. (2016, August 23). Uttar Pradesh Floods: Schools Closed in Varanasi, Allahabad until Thursday. Express News Service. Web. February 2, 2017.

    Google Scholar 

  • U.S. Army Corps of Engineers. (2016). Hydrologic engineering center HEC-RAS river analysis system: Application guide, version 5.0.

    Google Scholar 

  • Wood, M. (2015). The story of India. Random House.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prabuddh K. Mishra .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Mishra, V., Tiwari, A., Mishra, P.K. (2024). Floodplain Map** Using HECRAS Model and Geospatial techniques—A Case Study of Varanasi City. In: Sharma, V.R., Chandrakanta (eds) Making India Disaster Resilient. Springer, Cham. https://doi.org/10.1007/978-3-031-50113-5_5

Download citation

Publish with us

Policies and ethics

Navigation