Skip to main content

Geospatial Technologies for Assessment of Reservoir Sedimentation

  • Chapter
  • First Online:
Geospatial Technologies for Land and Water Resources Management

Part of the book series: Water Science and Technology Library ((WSTL,volume 103))

  • 538 Accesses

Abstract

Soil erosion in the catchment area of the reservoir catchment leads to sedimentation problem in the reservoir thereby affecting its both live and dead storage capacities that reduces the designed life span and planned economic benefits. Conventional techniques for assessment of reservoir sedimentation not only involve lot of manpower but also time intensive and costly to implement. Remote sensing techniques by virtue of its synoptic coverage and multidate observations are reported to be quite useful for computation of reservoir live capacity. These surveys are fast, economical and reliable. The present study was taken up to update the stage—area—capacity curves (estimating loss in the live storage capacity) for 30 reservoirs spread across India, where delineated waterspread area corresponding to satellite pass forms the important basis. The difference between the present satellite measured waterspread area and that of a previous survey (obtained through hydrographic survey) is the areal extent of silting at these levels. Integrating the area over different levels gives an estimate of volume of silting observed by satellite between the maximum and minimum reservoir level.

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 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
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

References

  • Alsdorf DE, Rodrıguez E, Lettenmaier DP (2007) Measuring surface water from space. Rev Geophys 45:RG2002. https://doi.org/10.1029/2006RG000197

  • Arsen A, Cretaux JF, Abarca del Rio R (2015) Use of SARAL/AltiKa over mountainous lakes, Intercomparison with Envisat Mission. Marine Geodesy. https://doi.org/10.1080/01490419.2014.1002590

  • Bates PD, Wilson MD, Horritt MS, Mason DC, Holden N, Currie A (2006) Reach scale floodplain inundation dynamics observed using airborne synthetic aperture radar imagery: data analysis and modelling. J Hydrol 328:306–318

    Article  Google Scholar 

  • Chandrsekhar K, Jeyaseelan AT, Jain J, Chakraborthi AK (2000) Sedimentation study of Tawa reservoir through remote sensing. In: Proceedings 10th national symposium on hydrology with focal theme on urban hydrology held during July 18–19, 2000. New Delhi, pp 523–532

    Google Scholar 

  • Chowdary VM, Sai Krishnaveni A, Suresh Babu AV, Sharma RK, Rao VV, Nagaraja R, Dadhwal VK (2017) Reservoir capacity estimation using SARAL/AltiKa altimetry data coupled with Resources at P6-AWiFS and RISAT microwave data. Geocarto Int 32(9):1034–1047. https://doi.org/10.1080/10106049.2016.1188165

  • CWC (Central Water Commission) (2020) Compendium on sedimentation of reservoirs in India, Watershed & Reservoir Sedimentation Directorate, Central Water Commission, New Delhi

    Google Scholar 

  • Ding X, Li X (2011) Monitoring of the water area variations of lake Dongting in China with ENVISAT ASAR images. Int J Appl Earth Obs 13:894–901

    Article  Google Scholar 

  • Duan Z, Bastiaanssen WGM (2013) Estimating water volume variations in lakes and reservoirs from four operational satellite altimetry databases and satellite imagery data. Remote Sens Environ 134:403–416

    Article  Google Scholar 

  • Dubey AK, Gupta P, Dutta S, Singh RP (2015) Water level retrieval using SARAL/AltiKa observations in the Braided Brahmaputra river, Eastern India. Marine Geodesy. https://doi.org/10.1080/01490419.2015.1008156

  • Frappart F, Papa F, Marieu V, Malbeteau Y, Jordy F, Calmant S, Durand F, Bala S (2015) Preliminary assessment of SARAL/AltiKa observations over the Ganges-Brahmaputra and Irrawady rivers. Mar Geodesy. https://doi.org/10.1080/01490419.2014.990591

    Article  Google Scholar 

  • Ghosh S, Kumar Thakur P, Garg V, Nandy S, Aggarwal S, Saha SK, Bhattacharyya S (2015) SARAL/AltiKa waveform analysis to monitor inland water levels: a case study of Maithon reservoir, Jharkhand India. Mar Geodesy 38(sup1):597–613. https://doi.org/10.1080/01490419.2015.1039680

    Article  Google Scholar 

  • Garde RJ (1995) Reservoir sedimentation, state of art report of Indian National Committee on Hydrology (INCOH), No. INCOH/SAR-6/95. National Institute of Hydrology, Roorkee

    Google Scholar 

  • Goel MK, Jain SK (1996) Evaluation of reservoir sedimentation using multi-temporal IRS–1A LISS–II data. Asian Pacific Remote Sens GIS J 8(2):39–43

    Google Scholar 

  • Goel MK, Jain SK (1998) Reservoir sedimentation study for Ukai dam using satellite data. Report no. UM-1/97–98’, National Institute of Hydrology, Roorkee, India

    Google Scholar 

  • Goel MK, Jain SK, Agarwal PK (2002) Assessment of sediment deposition rate in Bargi reservoir using digital image processing. Hydrol Sci 47(S):S81–S92

    Google Scholar 

  • Gupta SC (1999) State paper on reservoir sedimentation assessment using remote sensing techniques. In: Proceedings national workshop on reservoir sedimentation assessment using remote sensing data, National Institute of Hydrology, Roorkee, India

    Google Scholar 

  • Jain SK, Goel MK (2002) Assessing the vulnerability to soil erosion of the Ukai dam catchment using remote sensing and GIS. Hydrol Sci J 47(1):31–40

    Article  Google Scholar 

  • Jain SK, Singh P, Seth SM (2002) Assessment of sedimentation in Bhakra reservoir in the western Himalayan region using remotely sensed data. Hydrol Sci J 47(2):203–212

    Article  Google Scholar 

  • Jothiprakash, Garg V (2009) Reservoir sedimentation estimation using artificial neural network. J Hydrol Eng 14(9):1035–1040

    Google Scholar 

  • Managond MK, Alasingrachar MA, Srinivas MG (1985) Storage analysis of Malaprabha reservoir using remotely sensed data. In: Proceedings 19th international symposium on remote sensing of environment. Ann Arbor, Michigan, pp 749–756

    Google Scholar 

  • Manavalan P, Sathyanath P, Rajegowda GL (1993) Digital image analysis techniques to estimate the water-spread for capacity evaluation of reservoirs. PE&RS 59:1389–1395

    Google Scholar 

  • Manju G, Chowdary VM, Srivastava YK, Selvamani S, Jeyaram A, Adiga S (2005) Mapping and characterization of inland wetlands using remote sensing and GIS. J Indian Society Remote Sens 33(1):45–54

    Article  Google Scholar 

  • McFeeters SK (1996) The use of normalised difference water index (NDWI) in the elineation of open water features. Int J Remote Sens 17(7):1425–1432

    Article  Google Scholar 

  • Mohanty RB, Mohapatra G, Mishra D, Mohapatra SS (1986) Application of remote sensing to sedimentation studies in Hirakud reservoir. In: Joint report of Orissa remote sensing applications centre and Hirakud research station

    Google Scholar 

  • Morris GI, Fan J (1997) Reservoir handbook-design and management of dams, reservoirs and watersheds of sustainable use. Tata McGraw-Hill, New York, USA

    Google Scholar 

  • Nagarajan R, Marathe T, Collins WG (1993) Identification of flood prone regions of Rapti river using temporal remotely sensed data. Int J Remote Sens 14(7):1297–1303

    Article  Google Scholar 

  • Narayan DVV, Babu R (1983) Estimation of soil erosion in India. J Irrig Drain Eng 109(4):419–431

    Article  Google Scholar 

  • Peng D, Guo S, Liu P, Liu T (2006) Reservoir storage curve estimation based on remote sensing data. J Hydrol Eng 11(2):165–172

    Article  Google Scholar 

  • Rajashree VB, Manavalan P, Sharma JR, Adiga S (2003) Reservoir capacity surveys through remote sensing. Technical report, ISRO-NNRMS-TR-104–2003, p 52

    Google Scholar 

  • Rajashree VB, Sharma JR et al (2004) Sedimentation analysis through satellite remote sensing, for different reservoirs, RCJ/PR/2004/1-19

    Google Scholar 

  • Rajeev S, Sathwara PK, Purohit, Mehra OS (1992) Reservoir storage capacity estimation using satellite data—a case study in the Ukai reservoir. Scientific note Space Applications Centre (ISRO), Ahmedabad. SAC/RSA/RSAG-LRD/SN/03/92

    Google Scholar 

  • Rao TH, Rao CR, Vishwanathan R (1988) Capacity evaluation of Sriramasagar reservoir by using remote sensing techniques. In: Proceedings of 54th R&D session, CBIP, Ranchi, vol 1 (Civil)

    Google Scholar 

  • Shangle AK (1991) Reservoir sedimentation status in India. Jalvigyan Sameeksha 5:63–70

    Google Scholar 

  • Sharma PK, Chopra R, Verma VK, Thomas A (1996) Flood management using remote sensing technology: the Punjab (India) experience. Int J Remote Sens 17(17):3511–3521

    Article  Google Scholar 

  • Smith LC, Pavelsky TM (2008) Estimation of river discharge, propagation speed, and hydraulic geometry from space: Lena River Siberia. Water Resour Res 44:W03427. https://doi.org/10.1029/2007WR006133

    Article  Google Scholar 

  • Suvit V (1988) The reservoir capacity of Ubolratana Dam between 173 and 180 meters above mean sea level. Asian-Pacific Remote Sens J 9(1):1–6

    Article  Google Scholar 

  • Tucker CJ (1979) Red and photographic infrared linear combination for monitoring vegetation. Rem Sens Environ 8:127–150

    Article  Google Scholar 

  • Varshney RS (1997) Impact of siltation on the useful life of large reservoirs. State of art report of INCOH, No. INCOH/SAR-11/97, National Institute of Hydrology, Roorkee

    Google Scholar 

Download references

Acknowledgements

Authors sincerely acknowledge Central Water Commission, Ministry of Water Resources, New Delhi, to entrust us the current study.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Bothale, R.V., Chowdary, V.M., Vinu Chandran, R., Kumar, G., Sharma, J.R. (2022). Geospatial Technologies for Assessment of Reservoir Sedimentation. In: Pandey, A., Chowdary, V.M., Behera, M.D., Singh, V.P. (eds) Geospatial Technologies for Land and Water Resources Management. Water Science and Technology Library, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-030-90479-1_19

Download citation

Publish with us

Policies and ethics