Journal of the Geological Society of India

, Volume 89, Issue 1, pp 65–70 | Cite as

Error in digital network and basin area delineation using d8 method: A case study in a sub-basin of the Ganga

  • Brijesh KumarEmail author
  • Kanhu Charan Patra
  • Venkat Lakshmi
Research Articles


Digital elevation model (DEM) is one of the input data derived from different satellite sensors for hydrologic and hydraulic modelings. Two prime questions could be answered before using these DEMs. First, the acceptability of datasets for our use and second appropriate resolution of the dataset. Three widely used DEMs SRTM 30m, ASTER 30m and SRTM 90m are analyzed to evaluate their suitability to delineate river network and basin boundary area. The hydrology tool of spatial analyst extension inbuilt in ArcGIS 10.2 (which uses the D8 method for calculation of flow direction) has been used for the delineation of both river networks and basin boundary. The assessment of river network alignment and boundary delineation is carried out in the seven sub-catchments of Gandak river basin having different morphological characteristics. The automatically delineated boundary area for all the three DEMs reflects a significant difference when compared with the digitized basin area from the Ganga flood control commission (GFCC) map. The maximum boundary area delineation error is 39137.20 km2 forASTER 30m, and minimum delineation error of 13239.28 km2 for SRTM 90m. In the stream network, delineation accuracy is good for SRTM 90m while, except Gandak trunk, ASTER 30m DEM shows better delineation accuracy indicated by mean absolute error (MAE) and standard deviation (SD).


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  1. Bravo, J.M., Allasia, D., Paz, A.R., Collischonn, W., Tucci, C.E.M. (2012) Coupled Hydrologic-Hydraulic Modeling of the Upper Paraguay River Basin. Jour. Hydrol. Engg., v.17(5), pp.635–646.CrossRefGoogle Scholar
  2. Burrough, P.A. (1986) Principles of Geographical Information Systems for Land Resources Assessment. Clarendon Press, Oxford.Google Scholar
  3. Costa-Cabral, M.C. and Burges, S.J. (1994) Digital Elevation Model Networks (DEMON):A model of flow over hillslopes for computation of contributing and dispersal areas. Water Resour. Res., v.30(6), pp.1805–1815.CrossRefGoogle Scholar
  4. Demirel, M.C., Venancio, A. and Kahya, E. (2009) Flow forecast by SWAT model and ANN in Pracana basin, Portugal. Adv. Eng. Softw., v40(7), pp.467–473.CrossRefGoogle Scholar
  5. Fairfield, J. and Leymarie, P. (1991) Drainage networks from grid digital elevation models. Water Resour. Res., v.27(5), pp.709–717.CrossRefGoogle Scholar
  6. Han, D. and Hammond, M. (2006) Issues of using digital maps for catchment delineation. Proc. ICE - Water Manag., v.159(WMI), pp.45–51.Google Scholar
  7. Jain Sharad, K. (2008) Impact of retreat of Gangotri glacier on the flow of Ganga River. Curr. Sci., v.95(8), pp.1012–1014.Google Scholar
  8. Jenson, S.K. and Domingue, J.O. (1988) Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis. Photogrammatric Engg. Remote Sens., v.54(11), pp.1593–1600.Google Scholar
  9. Maidment, D.R. (2002) Arc Hydro: GIS for water resources. ESRI press, Redlands, CA, pp.203.Google Scholar
  10. Moore, I.D. and Grayson, R.B. (1991) Terrain-based catchment partitioning and runoff prediction using vector elevation data. Water Resour. Res., v.27(6), pp.1177–1191.CrossRefGoogle Scholar
  11. O’Callaghan, J.F. and Mark, D.M. (1984) The extraction of drainage networks from digital elevation data. Comput. Vision, Graph. Image Process, v.28, pp.323–344.CrossRefGoogle Scholar
  12. Orlandini, S. (2003) Path-based methods for the determination of nondispersive drainage directions in grid-based digital elevation models. Water Resour. Res., v.39(6), pp.1144–1151.CrossRefGoogle Scholar
  13. Paiva, R.C.D., Collischonn, W. and Tucci, C.E.M. (2011) Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach. Jour. Hydrol., v.406 (3&4), pp.170–181.CrossRefGoogle Scholar
  14. Paz, A.R., Brabo, J.M., Allasia, D., W.C. and C.E.M.T. (2010) Large-Scale Hydrodynamic Modeling of a Complex River Network and Floodplains. Jour. Hydrol. Engg., v.15(2), pp.152-165.Google Scholar
  15. Paz, A.R., Da Collischonn, W., Risso, A. and Mendes, C.A.B. (2008) Errors in river lengths derived from raster digital elevation models. Comput. Geosci., v.34(11), 1584–1596.CrossRefGoogle Scholar
  16. Pereira-Cardenal, S.J., Riegels, N.D., Berry, P.A.M., Smith, R.G., Yakovlev, A., Siegfried, T.U. and Bauer-Gottwein, P. (2011) Real-time remote sensing driven river basin modeling using radar altimetry. Hydrol. Earth Syst. Sci., v.15(1), pp.241–254.CrossRefGoogle Scholar
  17. Pramanik, N., Panda, R.K. and Sen, D. (2009) One Dimensional Hydrodynamic Modeling of River Flow Using DEM Extracted River Cross-sections. Water Resour. Manag., v.24(4), pp.835–852.Google Scholar
  18. Quinn, P., Beven, K., Chevallier, P., Planchon, O. (1991) The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydrol. Process, v.5(1), pp.59–79.CrossRefGoogle Scholar
  19. Rahman, M.M., Arya, D.S. and Goel, N.K. (2010) Limitation of 90 m SRTM DEM in drainage network delineation using D8 method—A case study in flat terrain of Bangladesh. Appl. Geomatics, v.2(2), pp.49–58.Google Scholar
  20. Seibert, J. and McGlynn, B.L. (2007) A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models. Water Resour. Res., v.43(4), W04501, doi:10.1029/2006WR 005128Google Scholar
  21. Strahler, A.N. (1952) Hypsometric (Area-Altitude) analysis of erosional topograply. Geol. Soc. Amer. Bull., v.63(11), pp.1117–1142.CrossRefGoogle Scholar
  22. SWAT (2012) Soil & Water Assessment Tool. Texas A&M University. Retrieved 1 March 2012.Google Scholar
  23. Tarboton, D.G. (1997) A new method for the determination of flow directions and upslope areas in grid digital elevation models. Water Resour. Res., v.33(2), pp.309–319.CrossRefGoogle Scholar
  24. Venkatachalam, P., Krishna Mohan, B., Amit Kotwal, Vikash Mishra, V.M. and M.P. (2001) Automatic Delineation of Watersheds for hydrological applications. 22nd Asian Conferance Remote Sensing, Singapore.Google Scholar
  25. Vladimir, J. Alarcon and Chuck O’Hara (2006) Using IFSAR and SRTM elevation data for watershed delineation. MAPPS/ASPRS 2006 Fall Conf. November 6-10, San Antonio, Texas.Google Scholar

Copyright information

© Geological Society of India 2017

Authors and Affiliations

  • Brijesh Kumar
    • 1
    Email author
  • Kanhu Charan Patra
    • 1
  • Venkat Lakshmi
    • 2
  1. 1.Department of Civil EngineeringNational Institute of Technology RourkelaRourkelaIndia
  2. 2.Department of Earth and Ocean SciencesUniversity of South CarolinaColumbiaUSA

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