Skip to main content
Log in

Assessment of runoff in Chandra river basin of Western Himalaya using Remote Sensing and GIS Techniques

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

The runoff of Chandra river basin in the Himalayan India was assessed using a hydrological model combined with satellite remote sensing observations. During a test period between 2000 and 2015, in situ measurements of runoff and meteorological parameters were conducted in the glacial catchment areas of Sutridhaka and Chhotashigri. A good agreement was found between the observed and predicted runoff (correlation R2 > 0.8). The hydrological model was then used to simulate the runoff of Chandra River for a period of 2000 to 2015. Almost 68% of the predicted runoff occurred during the ablation period (May to September). A sensitivity study of the Chandra basin hydrology to a predicted warming climate of 1 to 4 K, toward the end of the century suggests that increased production of glacial melt water would have more impact on runoff than potential increase in precipitation. During the monsoon months (of June to August), increased runoff is predicted due to enhanced glacial melting but the runoff in other months to be lower than present mean runoff, except for the summer months (March to July).

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Data availability

All data generated or analysed during this study are included in this published article (and its supplementary information files).

References

  • Agarwal, A., Dimri, A. P., & Theyyen, R. J., (2015). Mass balance and runoff from Gangotri glacier using remote sensing methods, International Glaciological Symposium, Kathmandu, Nepal, March 1-6, 2015. Conference: International Glaciological Symposium, Kathmandu, Nepal, March 1-6, 2015.

  • Ahluwalia, R. S., Rai, S. P., Jain, S. K., Kumar, B., & Dobhal, D. P. (2013). Assessment of snowmelt runoff modeling and isotope analysis: A case study from the Western Himalaya. India. Annals of Glaciology, 54(62), 299–304.

    Article  CAS  Google Scholar 

  • Anderson, E. A. (1976). A point energy and mass balance model of a snow cover. NOAA Technical Report-NWS 19 Washington, DC: NOAA. 1–150.

  • Archer, D. R., & Fowler, H. J. (2004). Spatial and temporal variations in precipitation in the Upper Indus Basin, global teleconnections and hydrological implications. Hydrological Earth System Sciences, 8, 47–61.

    Article  Google Scholar 

  • Archer, D. R., Forsythe, N., Fowler, H. J., & Shah, S. M. (2010). Sustainability of water resources management in the Indus Basin under changing climatic conditions. Hydrological Earth System Sciences, 14, 1669–1680.

    Article  Google Scholar 

  • Arora, M., Rathore, D. S., Singh, R. D., Kumar, R., & Kumar, A. (2010). Estimation of melt contribution to total streamflow in river Bhagirathi and river DhauliGanga at Loharinag Pala and Tapovan Vishnugad Project Sites. Journal of Water Resources Protection, 2, 636–643.

    Article  Google Scholar 

  • Azam, M. F., Ramanathan, A. L., Wagnon, P., Vincent, C., Linda, A., Berthier, E., Sharma, P., Mandal, A., Angchuk, T., Singh, V. B., & Pottakkal, J. G. (2016). Meteorological conditions, seasonal and annual mass balances of Chhota Shigri Glacier, western Himalaya. India. Annals of Glaciology, 57(71), 328–338.

    Article  Google Scholar 

  •  Azam, M. F., Wagnon, P., Berthier, E., Vincent, C., Fujita, K. & Kargel, J. (2018). Review of the status and mass changes of Himalayan-Karakoram glaciers. Journal of Glaciology64(243), 61–74.

  • Azam, M. F., Wagnon, P., Vincent, C., Ramanathan, A. L., Kumar, N., Srivastava, S., Pottakkal, J. G., & Chevallier, P. (2019). Snow and ice melt contributions in a highly glacierized catchment of Chhota Shigri Glacier (India) over the last five decades. Journal of Hydrology, 574, 760–773.

    Article  Google Scholar 

  • Barnett, T. P., Adam, J. C., & Lettenmaier, D. P. (2005). Potential impacts of a warming climate on water availability in snow-dominated regions. Nature, 438, 303–309.

    Article  CAS  Google Scholar 

  • Basnett, S., Kulkarni, A. V., & Bolch, T. (2013). The influence of debris cover and glacial lakes on the recession of glaciers in Sikkim Himalaya. India. Journal of Glaciology, 59(218), 1035–1046.

    Article  Google Scholar 

  • Bengtsson, L. (1980). Evaporation from a solid snow cover. Nordic Hydrology, 11, 221–234.

    Article  Google Scholar 

  • Bolch, T., Kulkarni, A., Kääb, A., et al. (2012). The state and fate of Himalayan Glaciers. Science, 336, 310–314.

    Article  CAS  Google Scholar 

  • Bookhagen, B., & Burbank, D. W. (2010). Toward a complete Himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge. Journal of Geophysical Research, 115, F3.

    Article  Google Scholar 

  • Braun, L. N., Grabs, W., & Rana, B. (1993). Application of a conceptual precipitation runoff model in Langtang Khola basin, Nepal Himalaya. Snow and Glacier Hydrology, 218, 221–237.

    Google Scholar 

  • Cai, M., Yang, S., Zeng, H., Zhao, C., & Wang, S. (2014). A distributed hydrological model driven by multi-source spatial data 289 and its application in the Ili River Basin of Central Asia. Water Resources Management, 28, 2851–2866.

    Article  Google Scholar 

  • Chai, T., & Draxler, R. R. (2014). Root mean square error (RMSE) or mean absolute error (MAE)?—Arguments against avoiding RMSE in the literature. Geoscientific Model Development, 7(3), 1247–1250.

    Article  Google Scholar 

  • Chandrasekharan, A., Ramsankaran, R., Pandit, A., & Rabatel A. (2018). Quantification of annual glacier surface mass balance for the ChhotaShigri Glacier, Western Himalayas, India using an Equilibrium-Line Altitude (ELA) based approach. International Journal of Remote Sensing, 39(23), 9092–9112. https://doi.org/10.1080/01431161.2018.1506182

  • Chen, Y., Weihong, L., Fang, G., & Zhi, L. (2016). Hydrological modeling in glacierized catchments of Central Asia: Status and challenges. Hydrological Earth System Sciences Discussion. https://doi.org/10.5194/hess-2016-325

  • Cogley, J. G. (2009). Geodetic and direct mass-balance measurements: Comparison and joint analysis. Annals of Glaciology, 50(50), 96–100.

    Article  Google Scholar 

  • Gaddam, V. K., Kulkarni, A. V., & Gupta, A. K. (2016). Estimation of glacial retreat and mass loss in Baspa basin, Western Himalaya. Spatial Information Research, 24, 257–266.

    Article  Google Scholar 

  • Gaddam, V. K., Kulkarni, A. V., & Gupta, A. K. (2017). Reconstruction of specific mass balance for glaciers in Western Himalaya using seasonal sensitivity characteristic(s). Journal of Earth System Science, 126, 55.

    Article  Google Scholar 

  • Gaddam, V. K., Kulkarni, A. V., Gupta, A. K., & Sharma, P. (2018). Mass balance estimation using geodetic method for glaciers in Baspa basin. Western Himalaya. Current Science, 113(3), 486–492.

    Google Scholar 

  • Gaddam, V. K., Kulkarni, A. V., Bjornsson, H., Gullapalli, S., & Ballina, M. (2019). Applications of SPOT-7 tri-stereo imagery in deriving the surface topography and mass changes of glaciers in Indian Himalaya. Geocarto International, 1–21.

  • Gantayat, P., Kulkarni, A. V., & Srinivasan, J. (2014). Estimation of ice thickness using surface velocities and slope: Case study at Gangotri glacier. India. Journal of Glaciology, 60(220), 277–282.

    Article  Google Scholar 

  • Gardelle, J., Berthier, E., & Arnaud, Y. (2012). Slight mass gain of Karakoram glaciers in the early twenty-first century. Nature Geoscience, 5, 322–325.

    Article  CAS  Google Scholar 

  • Hall, D. K., & Riggs, G. A. (2016). MODIS/Terra Snow Cover 8-Day L3 Global 500m Grid, Version 6 [Baspa basin boundary]. Boulder, Colorado USA-NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD10A2.006

  • Hock, R., 2002. Glacier Melt and discharge: a review of processes and their modelling. In EGS General Assembly Conference Abstracts (p. 1914).

  • Immerzeel, W. W., Van Beek, L. P. H., & Bierkens., Marc, F.P. (2010). Climate change will affect the Asian water towers. Science, 328(5984), 1382–1385.

    Article  CAS  Google Scholar 

  • Immerzeel, W. W., Van Beek, L. P. H., Konz, M., et al. (2012). Hydrological response to climate change in glacierized catchment in the Himalayas. Climatic Change. https://doi.org/10.1007/s10584-011-0143-4

    Article  Google Scholar 

  • IPCC. (2015). https://www.ipcc.ch/site/assets/uploads/sites/3/2019/12/SROCC_FullReport_FINAL.pdf

  • Jain, C. K. (2002). Hydro-chemical study of a mountainous watershed: The Ganga, India. Water Resources, 36, 1262–1274.

    CAS  Google Scholar 

  • Jain, S. K., Tyagi, J., & Singh, V. (2010). Simulation of runoff and sediment yield for a Himalayan watershed using SWAT model. Journal of Water Resource and Protection, 2(3), 267.

    Article  CAS  Google Scholar 

  • Jeelani, G., Feddema, J. J., Van derVeen, J. J., & Stearns, L. (2012). Role of snow and glacier melt in controlling river hydrology in Liddar watershed (western Himalaya) under current and future climate. Water Resources Research. https://doi.org/10.1029/2011WR011590

    Article  Google Scholar 

  • Kääb, A., Berthier, E., Nuth, C., Gardelle, J., & Arnaud, Y. (2012). Contrasting patterns of early twenty-first-century glacier mass change in the Himalayas. Nature, 488(7412), 495–498.

    Article  Google Scholar 

  • Kulkarni, A.V. (2010). Monitoring Himalayan cryosphere using remote sensing techniques. Journal of the Indian Institute of Science, 90(4), 457–469.

  • Kulkarni, A. V., Randhawa, S. S., Rathore, B. P., Bahuguna, I. M., & Sood, R. K. (2002). A snow and glacier melt runoff model to estimate hydropower potential. Journal of Indian Society of Remote Sensing, 30(4), 221–228.

    Article  Google Scholar 

  • Kulkarni, A. V., Rathore, B. P., & Alex, S. (2004). Monitoring of glacial mass balance in the Baspa basin using accumulation area ratio method. Current Science, 86(1), 101–106.

    Google Scholar 

  • Kumar, V., Singh, P., & Singh, V. (2007). Snow and glacier melt contribution in the Beas River at Pandoh Dam, Himachal Pradesh. India. Hydrological Sciences, 52(2), 376–388.

    Article  Google Scholar 

  • Li, F., Zhang, Y., Xu, Z., Liu, C., Zhou, Y., & Liu, W. (2014). Runoff predictions in ungauged catchments in southeast Tibetan Plateau. Journal of Hydrology, 511, 28–38.

    Article  Google Scholar 

  • Martinec, J. (1975). Snowmelt-runoff model for stream flow forecasts. Hydrology Research, 6(3), 145–154.

  • Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I—A discussion of principles. Journal of Hydrology, 10(3), 282–290.

    Article  Google Scholar 

  • Oerlemans, J., & Grisogono, B. (2002). Glacier winds and parameterization of the related surface heat fluxes. Tellus a: Dynamic Meteorology and Oceanography, 54(5), 440–452.

    Article  Google Scholar 

  • Pandey, P., Ali, S. N., Ramanathan, A. L., Champati ray, P. K., Venkataraman, G., (2016). Regional representation of glaciers in Chandra Basin region, western Himalaya, India, Frontiers in Geosciences (Elsevier). https://doi.org/10.1016/j.gsf.2016.06.006

    Article  Google Scholar 

  • Prasad, V. H., & Roy, P. S. (2005). Estimation of snowmelt runoff in Beas Basin. India. Geocarto International, 20(2), 41–47.

  • Prasch, M., Mauser, W., & Weber, M. (2012). Quantifying present and future glacier melt -water contribution to runoff in a Central Himalayan river basin. The Cryosphere Discussions, 6(5), 4557–4598.

    Google Scholar 

  • Pratap, B., Sharma, P., Patel, L., Singh, A. T., Gaddam, V. K., Oulkar, S., & Thamban, M. (2019). Reconciling high glacier surface melting in summer with air temperature in the semi-arid zone of Western Himalaya. Water, 11(8), 1561.

    Article  Google Scholar 

  • Radić, V., & Hock, R. (2014). Glaciers in the Earth’s hydrological cycle: Assessments of glacier mass and runoff changes on global and regional scales. Surveys in Geophysics, 35(3), 813–837.

    Article  Google Scholar 

  • Rathore, B. P., Kulkarni, A. V. & Sherasia, N. K. (2009). Understanding future changes in snow and glacier melt runoff due to global warming in Wangar Gad basin, India. Current Science, 1077–1081.

  • RGI Consortium. (2017). Randolph Glacier Inventory – A Dataset of Global Glacier Outlines: Version 6.0: Technical Report, Global Land Ice Measurements from Space, Colorado, USA. Digital Media. https://doi.org/10.7265/N5-RGI-60

  • Senzeba, K. T., Bhadra, A., & Bandyopadhyay, A. (2015). Snowmelt runoff modelling in data scarce Nuranang catchment of eastern Himalayan region. Remote Sensing Applications: Society and Environment, 1, 20–35.

    Article  Google Scholar 

  • Singh, Ajit T., Waliur Rahaman, Parmanand Sharma, C. M. Laluraj, Lavkush K. Patel, Bhanu Pratap, Vinay K. Gaddam, and Meloth Thamban. (2019). Moisture Sources for Precipitation and Hydrograph Components of the Sutri Dhaka Glacier Basin, Western Himalayas. Water 11(11), 2242. https://doi.org/10.3390/w11112242

  • Singh, P., & Bengtsson, L. (2004a). Hydrological sensitivity of a large Himalayan basin to climate change. Hydrological Processes, 18(13), 2363–2385.

    Article  Google Scholar 

  • Singh, P., Kumar, A., & Kumar, N. (2010). Hydro-meteorological correlations and relationships for estimating streamflow for Gangotri Glacier basin in Western Himalayas. International Journal of Water Resources and Environmental Engineering, 3(2), 69–69.

    Google Scholar 

  • Singh, V. B., & Ramanathan, A. L. (2018). Suspended sediment dynamics in the meltwater of Chhota Shigri glacier, Chandra basin, Lahaul-Spiti valley. India. Journal of Mountain Science, 15(1), 68–81.

    Article  Google Scholar 

  • Stocker, T. F., Qin, D., Plattner, G. K., et al. (2013). Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. https://doi.org/10.1017/CBO9781107415324

  • Subramanya, K. (2013). Engineering Hydrology, 4e. Tata McGraw-Hill Education.

  • Tawde, S.A., Kulkarni, A.V. and Bala, G. (2016). Estimation of glacier mass balance on a basin scale: an approach based on satellite-derived snowlines and a temperature index model. Current Science, pp.1977-1989.

    Article  Google Scholar 

  • Tawde, S. A., Kulkarni, A. V., & Bala, G. (2017). An estimate of glacier mass balance for the Chandra basin, western Himalaya, for the period 1984–2012. Annals of Glaciology58(75pt2), 99–109.

  • Tawde, S. A., Kulkarni, A. V., & Bala, G. (2018). April. 21st century projections of glacier mass balance, extent and volume for the Chandra Basin using downscaled CMIP5 data and a glacier geometry model. In EGU General Assembly Conference Abstracts (p. 394).

  • Tawde, S. A., Kulkarni, A. V., & Bala, G. (2019). An assessment of climate change impacts on glacier mass balance and geometry in the Chandra Basin, Western Himalaya for the 21st century. Environmental Research Communications1(4), 041003.

  • Wulf, H., Bookhagen, B., & Scherler, D. (2016). Differentiating between rain, snow, and glacier contributions to river discharge in the western Himalaya using remote-sensing data and distributed hydrological modeling. Advanced Water Resources, 88, 152–169.

    Article  Google Scholar 

Download references

Acknowledgements

The first author would like to thank Shri Ravindranath Tagore, Chairman of Dhanekula Group, Dr.M. Ravichandran, Director for financial support, Dr. Thamban Meloth (Project Lead), Ajit Singh, Bhanu Pratap and other team members of Cryosphere Project, NCPOR, for continuous efforts in generating the melt runoff using field methods. The first author also thank ESSO- NCPOR, Ministry of Earth Sciences, for support during field trip. Special thanks are extended to Planet imagery team for providing high spatial resolution geo-corrected satellite images and BBMB for providing the meteorological datasets used in this paper. Work would have not been completed without the data support by Prof Azam, IIT Indore. A special thanks to him for providing his published datasets of Chhotashigri catchment. This work is a contribution from the first author to all the Glaciologists working in the Himalaya and their efforts in developing the database. All the authors would like to thank the anonymous reviewers and the editors of the journal for the constructive comments on this work. The contribution number of the publication is Dhan/Pub/Civ/GVK-03.

Funding

The first author received financial support from Shri Ravindranath Tagore, Chairman of Dhanekula Institute of Engineering and Technology, JNTUK, Vijayawada and Dr. Ravichandran, Director, Dr. Thamban Meloth (Project Lead), ESSO- NCPOR.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vinay Kumar Gaddam.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 29 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gaddam, V.K., Myneni, T.K., Kulkarni, A.V. et al. Assessment of runoff in Chandra river basin of Western Himalaya using Remote Sensing and GIS Techniques. Environ Monit Assess 194, 145 (2022). https://doi.org/10.1007/s10661-022-09795-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-022-09795-y

Keywords

Navigation