Theoretical and Applied Climatology

, Volume 123, Issue 3–4, pp 785–799 | Cite as

Analysis of trends in streamflow and its linkages with rainfall and anthropogenic factors in Gomti River basin of North India

  • N. S. AbeysinghaEmail author
  • Man Singh
  • V. K. Sehgal
  • Manoj Khanna
  • Himanshu Pathak
Original Paper


Trend analysis of hydro-climatic variables such as streamflow, rainfall, and temperature provides useful information for effective water resources planning, designing, and management. Trends in observed streamflow at four gauging stations in the Gomti River basin of North India were assessed using the Mann–Kendall and Sen’s slope for the 1982 to 2012 period. The relationships between trends in streamflow and rainfall were studied by correlation analyses. There was a gradual decreasing trend of annual, monsoonal, and winter seasonal streamflow (p < 0.05) from the midstream to the downstream of the river and also a decreasing trend of annual streamflow for the 5-year moving averaged standardized anomalies of streamflow for the entire basin. The declining trend in the streamflow was attributed partly to the increased water withdrawal, to increased air temperature, to higher population, and partly to significant reducing trend of post monsoon rainfall especially at downstream. Upstream gauging station showed a significant increasing trend of streamflow (1.6 m3/s/year) at annual scale, and this trend was attributed to the significant increasing trend of catchment rainfall (9.54 mm/year). It was further evident in the significant coefficient of positive correlation (ρ = 0.8) between streamflow and catchment rainfall. The decreasing trend in streamflow and post-monsoon rainfall especially towards downstream area with concurrent increasing trend of temperature indicates a drying tendency of the Gomti River basin over the study period. The results of this study may help stakeholders to design streamflow restoration strategies for sustainable water management planning of the Gomti River basin.


Streamflow Monsoon Season Entire Basin Annual Streamflow Monthly Streamflow 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We wish to thank the CWC Government of India for providing streamflow data and to the Department of Agriculture, Uttar Pradesh, for providing crop production data. We wish to acknowledge geospatial modeling and DSS laboratory in WTC, IARI, for providing the MATLAB code for performing the trend analysis reported in this study. This study was funded in part by “National Initiative on Climate Resilient Agriculture” (NICRA) project.


  1. Bouwer LM, Aerts JCJH, Droogers P, Dolman AJ (2006) Detecting the long-term impacts from climate variability and increasing water consumption on runoff in the Krishna River basin (India). Hydrol Earth Syst Sci 10:703–713CrossRefGoogle Scholar
  2. Bhutiyani MR, Kale VS, Pawar NJ (2008) Changing streamflow patterns in the rivers of northwestern Himalaya: implications of global warming in the 20th century. Curr Sci 95(5):618–626Google Scholar
  3. Burn DH, Elnur MAH (2002) Detection of hydrological trends and variability. J Hydrol 255:107–122CrossRefGoogle Scholar
  4. Dutta VD, Srivastava RK, Yunus M, Ahmed S, Pathak VV, Rai L, Prasad N (2011) Restoration plan of Gomti River with designated best use classification of surface water quality based on river expedition, monitoring and quality assessment. Earth Sci India 4(III):80–104, Accessed 25 July 2013Google Scholar
  5. Foster S, Choudhary NK (2009) Groundwater resource use and strategic planning needs, project task managers: Javier Zuleta & Sanjay Pahuja. Case profile collection number 23 sustainable groundwater management, lessons from practice, Global Water Partnership Associate Program, Accessed 15 July 2012
  6. Gautam MR, Acharya K (2012) Streamflow trends in Nepal. Hydrol Sci J 57(2):344–357CrossRefGoogle Scholar
  7. McCabe GJ, David M (2013) Temporal and spatial variability of the global water balance. Clim Change 120:375–387Google Scholar
  8. Hamed KH, Rao AR (1998) A modified Mann-Kendall trend test for auto correlated data. J Hydrol 204(1–4):182–196CrossRefGoogle Scholar
  9. Hingane LS, RupaKumar K, Murty VR (1985) Long-term trends of surface air temperature in India. Int J Climatol 5:521–528CrossRefGoogle Scholar
  10. Hirsch RM, Slack JR (1984) A nonparametric trend test for seasonal data with serial dependence. Water Resour Res 20(6):727–732CrossRefGoogle Scholar
  11. Jarvis A, Reuter HI, Nelson A, Guevara E (2008) Hollow filled SRTM for the globe version 4. Available from CGIAR-CSI SRTM 90m database, Accessed 20 July 2012
  12. Kahya E, Kalayci S (2004) Trend analysis of streamflow in Turkey. J Hydrol 289(1–4):128–144CrossRefGoogle Scholar
  13. Kendall MG (1975) Rank correlation methods. Griffin, LondonGoogle Scholar
  14. Lokgariwara C, Chopraa R, Smakhtinb V, Bharatic L, O’Keeffed J (2014) Including cultural water requirements in environmental flow assessment: an example from the upper Ganga River, India. Water Int 39(1):81–96CrossRefGoogle Scholar
  15. Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259CrossRefGoogle Scholar
  16. Maurya US (2013) Environmental implications of anthropogenic activity on Gomti River morphology at Lucknow, the Ganga plain, India. Int J Geol Earth Environ Sci 3(2):90–96Google Scholar
  17. Milliman JD, Farnsworth KL, Jones PD, Xu KN, Smith LC (2008) Climatic and anthropogenic factors affecting river discharge to the global ocean, 1951–2000. Glob Planet Chang 62:187–194CrossRefGoogle Scholar
  18. Nune R, George BA, Teluguntla P, Western AW (2012) Relating trends in streamflow to anthropogenic influences: a case study of Himayat Sagar catchment, India. Hydrol Earth Syst Sci Discuss 9:9295–9336. doi: 10.5194/hessd-9-9295-2012 CrossRefGoogle Scholar
  19. Panda DK, Kumar A, Ghosh S, Mohanty RK (2013) Streamflow trends in the Mahanadi River basin (India): linkages to tropical climate variability. J Hydrol 495:135–149CrossRefGoogle Scholar
  20. Rai RK, Upadhyay A, Ojha CSP (2010) Temporal variability of climatic parameters of Yamuna River basin, spatial analysis of persistence, trend and periodicity. Open Hydrol J 4:184–210CrossRefGoogle Scholar
  21. Rai RK, Upadhyay A, Sarkar S, Upadhyay AM, Singh VP (2009) GIUH based transfer function for Gomti River basin of India. J Spat Hydrol 9:24–50Google Scholar
  22. Rao AR, Hamed KH, Chen HL (2003) Nonstationarities in hydrologic and environmental time series. Water Sci Technol Libr 1:4020–4027Google Scholar
  23. Rao AR, Azli M (2010) On the variability of trend test results. Paper presented at the International Conference on Sustainable Built Environment (ICSBE-2010), Kandy, Sri Lanka, 13-14 December 2010. Accessed 20 July 2013
  24. Sharif M, Archer DR, Fowler HJ, Forsythe N (2013) Trends in timing and magnitude of flow in the Upper Indus basin. Hydrol Earth Syst Sci 17:1503–1516CrossRefGoogle Scholar
  25. Wei XH, Zhang MF (2010) Quantifying stream flow change caused by forest disturbance at a large spatial scale: a single watershed study. Water Resour Res 46, W12525CrossRefGoogle Scholar
  26. Yue S, Pilon P, Phinney B, Cavadias G (2002) The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol Process 16(9):1807–1829CrossRefGoogle Scholar
  27. Zhang S, Lu XX (2009) Hydrological responses to precipitation variation and diverse human activities in a mountainous tributary of lower Xijiang, China. Catena 77:130–142CrossRefGoogle Scholar
  28. Zhang C, Zhang B, Li W, Liu M (2014) Response of streamflow to climate change and human activity in Xitiaoxi river basin in China. Hydrol Process 28:43–50CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Wien 2015

Authors and Affiliations

  • N. S. Abeysingha
    • 1
    Email author
  • Man Singh
    • 1
  • V. K. Sehgal
    • 2
  • Manoj Khanna
    • 1
  • Himanshu Pathak
    • 3
  1. 1.Water Technology CenterIndian Agricultural Research InstituteNew DelhiIndia
  2. 2.Division of Agricultural PhysicsIndian Agricultural Research InstituteNew DelhiIndia
  3. 3.Division of Environmental ScienceIndian Agricultural Research InstituteNew DelhiIndia

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