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On the detection and attribution of streamflow persistence of rivers in Peninsular India


Persistence expressed by hurst exponent (H) is estimated for streamflows of 122 stations in the basins of Peninsular India by three methods at different aggregation scales (daily, monthly mean, monthly and annual maximum). Mean H values indicated long term persistence (LTP) and the data of more than 70% stations showed LTP for other temporal resolutions. H displayed negative correlation with time series length, mean annual and specific mean discharges, while no significant correlation with catchment area. Positive dependence was found between persistence of streamflow and different climatic attributes (rainfall; maximum, mean and minimum temperature) for daily and annual maximum datasets.

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Data availability

The data that support the findings of this study are available on request from the corresponding author.


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Correspondence to Sankaran Adarsh.

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Edited by Dr. Michael Nones (CO-EDITOR-IN-CHIEF).

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Adarsh, S., Nourani, V., Johnson, A. et al. On the detection and attribution of streamflow persistence of rivers in Peninsular India. Acta Geophys. 70, 1373–1383 (2022).

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  • Hurst exponent
  • Persistence
  • Correlation
  • Catchment attributes
  • Climatic attributes