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Precision mapping of boundaries of flood plain river basins using high-resolution satellite imagery: A case study of the Varuna river basin in Uttar Pradesh, India

  • Mallikarjun MishraEmail author
  • Vikas Dugesar
  • K N Prudhviraju
  • Shyam Babu Patel
  • Kshitij Mohan
Article

Abstract

Accurate demarcation of river basin boundaries is an important input for any programme connected with watershed management. In the present study, the boundary of the Varuna river basin is automatically derived using coarse- and medium-resolution digital elevation models (DEMs) of SRTM-30 m, ASTER-30 m, Cartosat-30 m, ALOS Palsar-12.5 m and Cartosat-10 m as well as manually through on-screen digitisation from a very high-resolution 1 m \(\times \) 1 m remote sensing data available as Google Earth image. The study demonstrated the efficacy of on-screen digitisation from high-resolution Google Earth image supported by detailed field observations in the precision mapping of the place of origin of the Varuna River, its stream network and basin boundary when compared to the maps generated through automatic methods using DEMs of various resolutions. The Varuna river system takes its headwaters from the areas surrounding Umran and Dain ‘tals’ (shallow, large depressions/basins) but not from the west of Mau Aima town as has been previously reported.

Keywords

Varuna river origin catchment DEMs Google Earth image 

Notes

Acknowledgements

The authors gratefully acknowledge Google Earth for the free availability of high-resolution satellite data and mapping tools. The authors are thankful to the anonymous reviewers and editor whose criticism has immensely helped improve this paper. They are thankful to the Head, Department of Geography, Institute of Science, Banaras Hindu University, for providing laboratory facilities to carry out this work. One of the authors (Mallikarjun Mishra) is thankful to the University Grants Commission, New Delhi, for awarding a Junior Research Fellowship.

References

  1. Central Public Works Department (CPWD), Govt. of India 2002 Rainwater harvesting and conservation manual; Table No. 2, 14–15, accessed on 1 March 2014.Google Scholar
  2. Das S, Patel P P and Sengupta S 2016 Evaluation of different digital elevation models for analyzing drainage morphometric parameters in the mountainous terrain: A case study of Supin-Upper Tons Basin, Indian Himalayas; Springerplus 5(1):1544,  https://doi.org/10.1186/s40064-016-3207-0. CrossRefGoogle Scholar
  3. Elkhrachy I 2017 Vertical accuracy assessment for SRTM and ASTER digital elevation models: A case study of Najran city, Saudi Arabia; Ain Shams Eng. J. 9(4) 1807–1817,  https://doi.org/10.1016/j.asej.2017.01.007.CrossRefGoogle Scholar
  4. Goudie A 2013 Characterising the distribution and morphology of creeks and pans on salt marshes in England and Wales using Google Earth; Estuar. Coast. Shelf Sci. 129 112–123.CrossRefGoogle Scholar
  5. Gwinnet County Georgia 2006 Storm water systems and facilities installation, standards and specifications, Chapter 2 Hydrology; Table 2–5, 2B-9, http://www.gwinnettcounty.com/portal/gwinnett/Departments/PublicUtilities/StormwaterManage-ment.
  6. India-WRIS 2012 River basin atlas of India (in) Web GIS Water resources information system of India; http://www.india-wris.nrsc.gov.in, accessed on 18 June 2018.
  7. Lai Z, Li S, Lv G, Pan Z and Fei G 2016 Watershed delineation using hydrographic features and a DEM in plain river network region; Hydrol. Process. 30(2) 276–288.CrossRefGoogle Scholar
  8. Martins T, Sousa I and Paz A R 2017 How to evaluate the quality of coarse-resolution DEM-derived drainage networks; Hydrol. Model. 31(19) 3379–3395.Google Scholar
  9. Potere D 2008 Horizontal positional accuracy of Google Earth’s high-resolution imagery archive; Sensors 8(12) 7973–7981.CrossRefGoogle Scholar
  10. Prakash K, Singh S K and Shukla U K 2016 Morphometric changes of Varuna river basin, Varanasi district, Uttar Pradesh; J. Geomatics 10(1) 48–54.Google Scholar
  11. Prudhvi Raju K N, Pandey M K and Sarkar S 2014a A note on boundaries in atlas maps; J. Geol. Soc. India 83 563–566.CrossRefGoogle Scholar
  12. Prudhvi Raju K N, Sarkar S and Pandey M K 2014b Indus and Ganga river basins in India: Surface water potentials; In: Rejuvenation of surface water resources of India: Potential, problem and prospects (ed.) Vaidyanadhan R, J. Geol. Soc. India 3 43–53.Google Scholar
  13. Purinton B and Bookhagen B 2017 Validation of digital elevation models (DEMs) and comparison of geomorphic metrics on the southern Central Andean Plateau; Earth Surf. Dyn. 5 211–237.CrossRefGoogle Scholar
  14. Raju N J, Ram P and Dey S 2009 Groundwater quality in lower Varuna river basin, Varanasi district, Uttar Pradesh; J. Geol. Soc. India 73 178–192.CrossRefGoogle Scholar
  15. Report Code: 001-GBP-IIT-GEN-DAT-01-Ver1 2010 River Ganga at a glance: Identification of issues and priority actions for restoration; pp. 1–19.Google Scholar
  16. Singh I B 1996 Geological evolution of Ganga plain-An overview; J. Palaeontol. Soc. India 41 99–137.Google Scholar
  17. Singh N L et al. 2013 Impact of river water on the ground water quality in Varanasi, Indian; J. Sci. Res. 4(1) 179–182.Google Scholar
  18. Sinha R and Jain V 1998 Flood hazards of north Bihar rivers, Indo-Gangetic plains; Memoir 41, Geological Society of India, pp. 27–52.Google Scholar
  19. Vaidyanadhan R 2014 Rejuvenation of surface water resources of India: Potential, problem and prospects; J. Geol. Soc. India Spec. Publ., No. 3, 109p.Google Scholar
  20. Yan Y, Tang J and Pilesjo P 2018 A combined algorithm for automated drainage network extraction from digital elevation models; Hydrol. Process. 32(10) 1322–1333.CrossRefGoogle Scholar

Copyright information

© Indian Academy of Sciences 2019

Authors and Affiliations

  1. 1.Department of Geography, Institute of ScienceBanaras Hindu UniversityVaranasiIndia

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