International Journal of Rural and Regional Development Original Research

Trend Analysis of Long-Term Rainfall Data for Monsoon Season of Kharun Catchment

  1. Vipin Kumar Mishra Department of Soil and Water Engineering, SVCAET & RS, Indira Gandhi Krishi Vishwavidyalaya
  2. Dhiraj Khalkho Department of Soil and Water Engineering, SVCAET & RS, Indira Gandhi Krishi Vishwavidyalaya
  3. Shruti Verma Department of Soil and Water Engineering, SVCAET & RS, Indira Gandhi Krishi Vishwavidyalaya

Abstract

This research paper investigates the trends in monsoon season rainfall over a 31-year period (1990–2021) using the non-parametric Mann–Kendall test. A range of statistical methods were utilized to analyze the rainfall data, providing valuable insights into its temporal patterns and trends. The correlation coefficient, measured by Kendall's Tau, exhibited a minimal positive correlation of 0.004 between years and their corresponding rainfall, quantities. This implies a slight tendency for increased rainfall with the passage of time. The Mann–Kendall statistic (S) yielded a value of 2 from a two-tailed test, accompanied by a p-value of 0.98 revealing that there is no statistically significant trend in the rainfall data. This implies that the observed fluctuations in monsoon rainfall over the 31-year span are more likely attributable to natural variability rather than a consistent upward or downward trajectory. Moreover, employing an alpha level of 0.050, the Sens's slope (Q) of 0.119 demonstrated a marginal positive slope, indicating a minor rise in rainfall over time. However, this trend lacks the strength required for statistical significance. The Z value of 1.98 further reinforces the insignificance of the observed trend, aligning with the null hypothesis of no trend.

Keywords

References (12)

  1. Aditya F, Gusmayanti E, Sudrajat J. Rainfall trend analysis using Mann-Kendall and Sen’s slope estimator test in West Kalimantan. IOP Conf Ser Earth Environ. Sci. 2021; 893:
  2. Alemu ZA, Dioha MO. Climate change and trend analysis of temperature: the case of Addis Ababa, Ethiopia. Environmental Systems Research. 2020;9(1). doi:10.1186/s40068-020-00190-5
  3. Kumar R, Gautam HR. Climate change and its impact on agricultural productivity in India. J Climatol Weather Forecast. 2014; 2 (1): 1000109.
  4. Modarres R, da Silva VP. Rainfall trends in arid and semi-arid regions of Iran. J Arid Environ. 2007; 70: 344–355.
  5. Jain SK, Kumar V. Trend analysis of rainfall and temperature data for India. Curr Sci. 2012; 102 (1): 37–49.
  6. Anie JS, Brema J. Rainfall trend analysis by Mann- Kendall test for Vamanapuram River Basin, Kerala. Int J Civil Eng Technol. 2018; 9 (13): 1549–1556.
  7. Chowdhury RK, Beecham S. Australian rainfall trends and their relation to the southern oscillation index. Hydrol Process Int J. 2010; 24 (4): 504–514.
  8. Gajbhiye, S, Meshram C, Singh SK, Srivastava PK, Islam Rainfall trend analysis of Sindh River basin, India, from 102-year record (1901-2002). Atmos Sci Lett. 2016; 17: 71–77.
  9. Kendall M Rank Correlation Methods. London, UK: Griffin; 1975.
  10. Kamble KM, Sthool VA, Upadhye SK, Jadhav JD, Bagade SD, Giri A Trend analysis of rainfall and rainy days using Mann Kendall method and Sen’s slope estimator in Parola Tehsil of Jalgaon district of Maharashtra (India). Int J Curr Microbiol Appl Sci. 2020; 9 (12): 3038–3044
  11. Mann H Non-parametric test against trend. Econometrica. 1945; 13 (3): 245–259.
  12. Panda A, Sahu Trend analysis of seasonal rainfall and temperature pattern in Kalahandi, Bolangir and Koraput districts of Odisha, India. Atmos Sci Lett. 2019; 20: e932.