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

Adarsh Sankaran, Nourani Vahid, Johnson Ashly, Jayan Anjali, Archana Devarajan Sindhu, Amrutha Asokan Jeeja

Acta Geophysica

2022

Vol. 70, no 3

1373--1383

Persistence expressed by hurst exponent (H) is estimated for streamflow 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.