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Assessment of Sedimentation and Useful Life of Tehri Reservoir using Integrated Approaches of Hydrodynamic Modelling, Satellite Remote Sensing and Empirical Curves


Affiliations
1 Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110 016, India
 

The higher rate of sedimentation in reservoirs is one of the main concerns in sustainable reservoir management, which impairs the functional capacity of reservoirs that may lead to various environmental risks. Estimation of sedimentation rate and useful life of a reservoir using appropriate methods is imperative for sustainable management. This paper deals with the computation of sedimentation rate and useful life of Tehri reservoir of Bhagirathi river, in India, using hydrographic survey analysis, Hydrologic Engineering Center’s River Analysis System (HEC-RAS) modelling, satellite remote sensing (SRS) technique, and trap efficiency based empirical curve methods. The rate of sedimentation was found as 5.33 million cubic metres (MCM)/year based on hydrographic survey analysis from the data obtained for the years 2005, 2008 and 2013. Likewise, the mean annual rate of sedimentation was estimated to be 5.07 MCM/year and 5.75 MCM/year based on the HEC-RAS model and SRS techniques respectively. Brune’s method and Churchill’s method of trap efficiency were found to be inconsistent with the hydrographic survey results. The reservoir can be classified as Type III reservoir with respect to the sediment vertical distribution analysis. Changes in bathymetry obtained in the simulation studies showed that the Bhagirathi river’s 28–30 km reach would be most vulnerable to sedimentation problems. The estimated useful life of Tehri reservoir was found to be in the range of 160–180 years. The SRS technique and hydrodynamic model provided a better fit with the observed data.

Keywords

Empirical Curve, HEC-RAS Model, Reservoir, Sedimentation, Tehri Reservoir, Useful Life.
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  • Sumi, T. and Hirose, T., Accumulation of sediment in reservoirs. In Water Storage, Transport, and Distribution – Encyclopedia of Life Support Systems (ed. Takahasi, Y.), EOLSS Publishers, Oxford, UK, 2009, pp. 224–252.

  • Kondolf, G. M. et al., Sustainable sediment management in reservoirs and regulated rivers: experiences from five continents. Earth’s Future, 2014, 2(5), 256–280.

  • Wang, H. W. and Kondolf, G. M., Upstream sediment‐control dams: five decades of experience in the rapidly eroding Dahan River Basin, Taiwan. J. Am. Water Resour. Assoc., 2014, 50(3), 735–747; doi:10.1111/jawr.12141.

  • Luis, J., Sidek, L. M. and Jajarmizadeh, M., Impact of sedimentation hazard at Jor Reservoir, Batang Padang hydroelectric scheme in Malaysia. In IOP Conference Series: Earth and Environmental Science, IOP Publishing Ltd, UK, 2016, vol. 32, no. 1, p. 012030; doi:10.1088/1755-1315/32/1/012030.

  • Graf, W. H., The hydraulics of reservoir sedimentation. International Water Power Dam Construction, 1983, 35(4), 45–52.

  • Garcia, M. H., Sediment transport and morphodynamics. In Sedimentation Engineering: Processes, Measurements, Modelling, and Practice (ed. Garcia, M.), ASCE Manuals and Reports on Engineering Practice No. 110. American Society of Civil Engineers, Reston, VA, 2008, pp. 21–164.

  • Morris, G. L. and Fan, J., Reservoir Sedimentation Handbook: Design and Management of Dams Reservoirs, and Watershed for Sustainable Use, McGraw-Hill Book Company, New York, USA; 2010; http://reservoirsedimentation.com.

  • Fiock, L. R., Records of silt carried by the Rio Grande and its accumulation in Elephant Butte Reservoir. Eos Trans. Am. Geophys. Union, 1934, 15(2), 468–473.

  • Annandale, G., Quenching the Thirst: Sustainable Water Supply and Climate Change, CreateSpace Independent Publishing Platform, North Charleston, SC, USA, 2013.

  • UNESCO, Water in a Changing World. The United Nations World Water Development Report 3, World Water Assessment Programme, Routledge, 2012, p. 190.

  • Central Water Commission (CWC), Compendium on silting of reservoirs in India. Ministry of Water Resources, Watershed and Reservoir Sedimentation Directorate, New Delhi, India. 2015.

  • MoWR, Storage Status of 91 Major Reservoirs of the Country as on 5 November 2015. Press Information Bureau, Govt. of India, Ministry of Water Resources (MoWR), New Delhi, India, 2015; http://pib.nic.in/newsite/PrintRelease.aspx?relid=130237 (accessed on May 2016).

  • Merina, N. R., Sashikkumar, M. C., Rizvana, N. and Adlin, R., Sedimentation study in a reservoir using remote sensing technique. Appl. Ecol. Environ. Res., 2016, 14(4), 296–304.

  • Eakin, H. M., Instructions for reservoir sedimentation surveys, in silting of reservoirs. Technical Report, US Department of Agriculture, Technical Bulletin, 1939.

  • Brown, C. B., Discussion of Sedimentation in reservoirs, by J. Witzig. In Proceedings of the American Society of Civil Engineers, 1943, 69(6), 1493–1500.

  • Churchill, M. A., Discussion of analyses and use of reservoir sedimentation data by L.C. Gottschalk. In Proceedings of the Federal Inter-agency Sedimentation conference, Denver, USA, 1948, pp. 139–140.

  • Brune, G. M., Trap efficiency of reservoirs. Eos Trans., Am. Geophys. Union, 1953, 34(3), 407–418; doi:10.1029/TR034i003p00407.

  • Cristofano, E. A., Area increment method for distributing sediment in a reservoir. US Bureau of Reclamation, Albuquerque, New Mexico, 1953.

  • Borland, W. M. and Miller, C. R., Distribution of sediment in large reservoir. J. Hydraul. Div., 1958, 84(2), 1–18.

  • Solomonson, V. V., Remote sensing applications in water resources. In Third Earth Resources Technology Symposium, Washington DC, USA, 1973, pp. 10–14.

  • Smith, S. E., Mancy, K. H. and Latif, A. F. A., The application of remote sensing techniques towards the management of the Aswan high dam reservoir. In 14th International Symposium on Remote Sensing of Environment, San Jose, Costa Rica, 1980, pp. 1297– 1307.

  • Vemu, S. and Udayabhaskar, P., An integrated approach for prioritization of reservoir catchment using remote sensing and geographic information system techniques. Geocarto Int., 2010, 25(2), 149–168.

  • Goel, M. K., Jain, S. K. and Agarwal, P. K., Assessment of sediment deposition rate in Bargi Reservoir using digital image processing. Hydrol. Sci. J., 2002, 47(S1), S81–S92.

  • Keys, T. A. and Scott, D. T., Monitoring volumetric fluctuations in tropical lakes and reservoirs using satellite remote sensing. Lake Reserv. Manage., 2018, 34(2), 154–166.

  • Jagalingam, P., Akshaya, B. J. and Hegde, A. V., Bathymetry Mapping Using Landsat 8 Satellite Imagery. Procedia Eng., 2015, 116, 560–566; doi:10.1016/j.proeng.2015.08.326.

  • Jain, S. K., Singh, P. and Seth, S. M., Assessment of sedimentation in Bhakra reservoir in the western Himalayan region using remotely sensed data. Hydrolog. Sci. J., 2002, 47(2), 203–212; doi:10.1080/02626660209492924.

  • Pandey, A., Chaube, U. C., Mishra, S. K. and Kumar, D., Assessment of reservoir sedimentation using remote sensing and recommendations for desilting Patratu Reservoir, India. Hydrol. Sci. J., 2016, 61(4), 711–718.

  • Koomullil, D. S., Chaube, U. C. and Pandey, A., Revisiting the useful life computation of Gobindsagar (Bhakra) reservoir. ISH J. Hydraul. Eng., 2016, 22(2), 115–123; doi:10.1080/09715010.2015.1084600.

  • Vishnoi, R. K. and Govil, R., Sedimentation and life of the reservoir. Water Energ. Int., 2007, 64(1), 99–107.

  • Brunner, G. W., Hydraulic Reference Manual, US Army Corps of Engineers, Hydrologic Engineering Center, Davis, CA, 2010.

  • USACE, HEC-RAS River Analysis System Hydraulic Reference Manual, Ver. 5.0, 2016.

  • Chow, V. T., Open-Channel Hydraulics, McGraw-Hill, New York, 1959, vol. 1, p. 680.

  • Ackers, P. and White, W. R., Sediment transport: new approach and analysis. J. Hydraulics Div., 1973, 99 (hy11).

  • Barsi, J., Lee, K., Kvaran, G., Markham, B. and Pedelty, J., The spectral response of the Landsat-8 operational land imager. Remote Sens., 2014, 6(10), 10232–10251.

  • IS Manual 13665, Sedimentation in Reservoirs – Method of Measurement, New Delhi, India, 1993.

  • Verstraeten, G. and Poesen, J., Estimating trap efficiency of small reservoirs and ponds: methods and implications for the assessment of sediment yield. Prog. Phys. Geog., 2000, 24(2), 219–251.

  • Garg, V. and Jothiprakash, V., Estimation of useful life of a reservoir using sediment trap efficiency. J. Spat. Hydrol., 2008, 8(2), 1–14.

  • Issa, I. E., Al-Ansari, N., Sherwany, G. and Knutsson, S., Sedimentation processes and useful life of Mosul dam reservoir, Iraq. Engineering, 2013, 5(10), 779–784; https://doi.org/10.4236/eng.2013.510094.


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  • Assessment of Sedimentation and Useful Life of Tehri Reservoir using Integrated Approaches of Hydrodynamic Modelling, Satellite Remote Sensing and Empirical Curves

Abstract Views: 412  |  PDF Views: 138

Authors

Ayan Anil Garg
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110 016, India
Alemayehu A. Shawul
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110 016, India
Sumedha Chakma
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110 016, India

Abstract


The higher rate of sedimentation in reservoirs is one of the main concerns in sustainable reservoir management, which impairs the functional capacity of reservoirs that may lead to various environmental risks. Estimation of sedimentation rate and useful life of a reservoir using appropriate methods is imperative for sustainable management. This paper deals with the computation of sedimentation rate and useful life of Tehri reservoir of Bhagirathi river, in India, using hydrographic survey analysis, Hydrologic Engineering Center’s River Analysis System (HEC-RAS) modelling, satellite remote sensing (SRS) technique, and trap efficiency based empirical curve methods. The rate of sedimentation was found as 5.33 million cubic metres (MCM)/year based on hydrographic survey analysis from the data obtained for the years 2005, 2008 and 2013. Likewise, the mean annual rate of sedimentation was estimated to be 5.07 MCM/year and 5.75 MCM/year based on the HEC-RAS model and SRS techniques respectively. Brune’s method and Churchill’s method of trap efficiency were found to be inconsistent with the hydrographic survey results. The reservoir can be classified as Type III reservoir with respect to the sediment vertical distribution analysis. Changes in bathymetry obtained in the simulation studies showed that the Bhagirathi river’s 28–30 km reach would be most vulnerable to sedimentation problems. The estimated useful life of Tehri reservoir was found to be in the range of 160–180 years. The SRS technique and hydrodynamic model provided a better fit with the observed data.

Keywords


Empirical Curve, HEC-RAS Model, Reservoir, Sedimentation, Tehri Reservoir, Useful Life.

References





DOI: https://doi.org/10.18520/cs%2Fv118%2Fi3%2F411-420