Analysis of Short Term and Long Term Dependence of Stream Flow Phenomenon in Seonath River Basin, Chhattisgarh

Shashikant Verma, Bhupendra Kumar Dhiwar

Hurst Phenomena, Stochastic, Streamflow Processes, Long Memory Time Series.

In this paper to investigate long rang phenomena ( Hurst effect) of river flows which characterizes hydrological time series is studied, especially in connection with various climate-related factors, is important to improve stochastic models for long-range phenomena and in order to understand the deterministic and stochastic variability in long-range dependence of stream flow. Long rang dependence represented by the Hurst coefficient H is estimated for 5 mean monthly discharge time series of Chhattisgarh state for a period of 32 years from 1980-2012.long memory analyzed for both monthly and seasonally stream flow time series of the Seonath River Basin at Chhattisgarh State by using Hurst exponent and testing specifically the null hypothesis of short-term memory in the monthly and seasonal time series by (Von Neumann ratio test, Kendall's rank correlation test, Median crossing test, Run above and below the median for general randomness, Turning point test, Rank difference test).

10.22161/ijaers.5.1.19