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Research Articles

Vol. 13 No. sp1 (2026): Recent Advances in Agriculture

Assessment of spatio-temporal trend in hydro-climatic variables and their agricultural implications in the Mahanadi River Basin using innovative trend analysis technique

DOI
https://doi.org/10.14719/pst.10914
Submitted
28 July 2025
Published
21-01-2026

Abstract

Climate change and its effects on hydro-climatic parameters have become a major concern for water resource management in India. This study provides a comprehensive assessment of long-term (1980-2024) hydro-climatic variability in the Mahanadi River Basin (MRB) using the robust Innovative Trend Analysis (ITA) technique. Trends in rainfall, streamflow, maximum temperature (Tmax) and minimum temperature (Tmin) were analyzed on season-wise (summer, monsoon, post-monsoon and winter) and annually for the entire basin as well as for its upper, middle and lower sub-basins. The results revealed a complex trend: annually, 48.3 % of stations showed increasing rainfall with significant spatial divergence. The upper sub-basin experienced a clear wetting trend (66.7 % of stations showing increase), while the middle sub-basin faced a significant declining trend of rainfall (57.3 % of stations showing decrease). However, streamflow exhibited a consistent decreasing trend at 60 % of gauging stations throughout the basin and at more than 80 % of stations in the upper and middle sub-basins, even having positive rainfall trend. Tmax showed a uniform increasing trend at all of the stations, while Tmin trends varied, leading to a widening diurnal temperature range. These findings confirm that increasing evapotranspiration, driven by global warming, has become a key factor influencing water availability in the basin. Hence, site specific water conservation measures are urgently required particularly in the upper and middle sub-basins to build resilience against growing climatic stress. The observed hydro-climatic shifts have already begun to affect the soil moisture dynamics and crop yields across the basin. Therefore, climate-resilient agricultural planning, adoption of drought-tolerant crop varieties, micro-irrigation and rainwater harvesting are essential to sustain agricultural productivity in the Mahanadi basin.

References

  1. 1. Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, Berger S, et al., editors. Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press; 2021.
  2. 2. Mishra V, Bhatia U, Tiwari AD. Bias-corrected climate projections for South Asia from coupled model intercomparison project-6. Sci Data. 2020;7:338. https://doi.org/10.1038/s41597-020-00681-1
  3. 3. Singh D, Ghosh S, Roxy MK, McDermid S. Indian summer monsoon: Extreme events, historical changes and role of anthropogenic forcings. Wiley Interdiscip Rev Clim Change. 2019;10:e571. https://doi.org/10.1002/wcc.571
  4. 4. Roxy MK, Ritika K, Terray P, Murtugudde R, Ashok K, Goswami BN. Drying of Indian subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal gradient. Nat Commun. 2015;6:7423. https://doi.org/10.1038/ncomms8423
  5. 5. Swain S, Mishra SK, Pandey A. A detailed assessment of meteorological drought characteristics using simplified rainfall index over Narmada River Basin, India. Environ Earth Sci. 2021;80:221. https://doi.org/10.1007/s12665-021-09523-8
  6. 6. Ray SL, Sahu AP, Paul JC, Das DM, Raul SK, Kundu SK. Climate change impact on hydro-climatic fluxes in Kantamal catchment of the middle Mahanadi River Basin, India. J Agric Eng (India). 2024;61:890-909. https://doi.org/10.52151/jae2024616.1894
  7. 7. Sahu RK, Khare D. Spatial and temporal analysis of rainfall for 30 districts of a coastal state (Odisha) of India. Int J Geol Earth Environ Sci. 2015;5:40-53.
  8. 8. Nibal D, Damodar J. Trend analysis of climate change indicators in Puri district of Odisha, India. Disaster Adv. 2020;13:43-50.
  9. 9. Sen Z. Innovative trend analysis methodology. J Hydrol Eng. 2012;17:1042-6. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556
  10. 10. Ajith Kumar M, Raju M, Pazhanivelan S, Selvakumar S, Sivakumar R, Ragunath K, et al. Analysis of seasonal variations and trends in rainfall patterns of the Aliyar sub-basin. 2025. https://doi.org/10.14719/pst.7888
  11. 11. Pai DS, Rajeevan M, Sreejith OP, Mukhopadhyay B, Satbha NS. Development of a new high spatial resolution (0.25 × 0.25) long period (1901-2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam. 2014;65:1-8. https://doi.org/10.54302/mausam.v65i1.851
  12. 12. Srivastava AK, Rajeevan M, Kshirsagar SR. Development of a high resolution daily gridded temperature data set (1969-2005) for the Indian region. Atmos Sci Lett. 2009;10:249-54. https://doi.org/10.1002/asl.232
  13. 13. Alashan S. An improved version of innovative trend analyses. Arab J Geosci. 2018;11:50. https://doi.org/10.1007/s12517-018-3393-x
  14. 14. Aggarwal PK. Impact of climate change on Indian agriculture. J Plant Biol. 2003;30:189-98.
  15. 15. Ray SL, Sahu AP, Paul JC, Das DM, Raul SK, Jena PP. Application of innovative trend analysis for rainfall variability in the middle catchment of Mahanadi river basin, India. J Agrometeorol. 2024;26:264-67. https://doi.org/10.54386/jam.v26i2.2542
  16. 16. Sahu RT, Verma MK, Ahmad I. Impact of long-distance interaction indicator (monsoon indices) on spatio-temporal variability of precipitation over the Mahanadi River basin. Water Resour Res. 2023;59:e2022WR033805. https://doi.org/10.1029/2022WR033805
  17. 17. Das DM, Nayak D, Sahoo BC, Raul SK, Panigrahi B, Choudhary KK. Identification of potential groundwater zones in rice-fallow areas within the Mahanadi river basin, India, using GIS and the analytical hierarchy process. Environ Earth Sci. 2022;81:395. https://doi.org/10.1007/s12665-022-10517-3
  18. 18. Pathak H. Impact, adaptation and mitigation of climate change in Indian agriculture. Environ Monit Assess. 2022;195:1. https://doi.org/10.1007/s10661-022-10537-3
  19. 19. Bahuguna RN, Jha J, Pal M, Shah D, Lawas LM, Khetarpal S, et al. Physiological and biochemical characterization of NERICA-L-44: A novel source of heat tolerance at the vegetative and reproductive stages in rice. Physiol Plant. 2015;154:543-59. https://doi.org/10.1111/ppl.12299
  20. 20. Kumar S, Tripathi S, Singh SP, Prasad A, Akter F, Syed MA, et al. Rice breeding for yield under drought has selected for longer flag leaves and lower stomatal density. J Exp Bot. 2021;72:4981-92. https://doi.org/10.1093/jxb/erab160
  21. 21. Ishtiaq M, Maqbool M, Muzamil M, Casini R, Alataway A, Dewidar AZ, et al. Impact of climate change on phenology of two heat-resistant wheat varieties and future adaptations. Plants. 2022;11:1180. https://doi.org/10.3390/plants11091180
  22. 22. Lobell DB. Changes in diurnal temperature range and national cereal yields. Agric For Meteorol. 2007;145:229-38. https://doi.org/10.1016/j.agrformet.2007.05.002

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