Long-term trend and variability of precipitation in Chhattisgarh State, India Academic Article uri icon


  • 2016, Springer-Verlag Wien. Spatial and temporal precipitation variability in Chhattisgarh State in India was examined by using monthly precipitation data for 102years (19012002) from 16 stations. The homogeneity of precipitation data was evaluated by the double-mass curve approach and the presence of serial correlation by lag-1 autocorrelation coefficient. Linear regression analysis, the conventional MannKendall (MK) test, and Spearmans rho were employed to identify trends and Sens slope to estimate the slope of trend line. The coefficient of variation (CV) was used to analyze precipitation variability. Spatial interpolation was done by a Kriging process using ArcGIS 9.3. Results of both parametric and non-parametric tests and trend tests showed that at 5% significance level, annual precipitation exhibited a decreasing trend at all stations except Bilaspur and Dantewada. For both annual and monsoon precipitation, Sens test showed a decreasing trend for all stations, except Bilaspur and Dantewada. The highest percentage of variability was observed in winter precipitation (88.75%) and minimum percentage variability in annual series (14.01%) over the 102-year periods.

published proceedings


author list (cited authors)

  • Meshram, S. G., Singh, V. P., & Meshram, C.

citation count

  • 65

complete list of authors

  • Meshram, Sarita Gajbhiye||Singh, Vijay P||Meshram, Chandrashekhar

publication date

  • August 2017