Int. J. Adv. Res. Biol. Sci. (2023). 10(6): 131-140 131 International Journal of Advanced Research in Biological Sciences ISSN: 2348-8069 www.ijarbs.com (A Peer Reviewed, Referred, Indexed and Open Access Journal) DOI: 10.22192/ijarbs Coden: IJARQG (USA) Volume 10, Issue 6 -2023 Research Article Rainfall Variability Analysis of Saurashtra Region of Gujarat Pandya P. A.*, Parmar S. H., Prajapari G. V., Gohil G. D. and Vadalia D. D. Centre of Excellence on Soil and Water Management, Research Training and Testing Centre, Junagadh Agriculture University, Junagadh, India *E-mail: papandya@jau.in Abstract Understanding rainfall variability is crucial for effective water management, agricultural planning, and disaster preparedness in the region. Statistical analysis of rainfall data plays a vital role in identifying long-term climate changes, assessing the likelihood of drought or flood events, and developing predictive models. Droughts occur when prolonged periods of below-average rainfall lead to water scarcity and moisture stress. They have severe implications for agriculture, resulting in crop failures, livestock losses, and economic hardships for farmers. Conversely, sporadic floods arise when intense rainfall exceeds the region's capacity to absorb and drain water effectively. The study area for the statistical analysis includes 36 rainfall stations in the Saurashtra region. The analysis covers monthly and seasonal rainfall data from 1980 to 2019, and the aforementioned parameters are calculated to assess rainfall variation.The coefficient of variation (%CV) for monthly rainfall ranges from 65% to over 100%, highlighting significant variability. Months with higher average rainfall, like July and August, exhibit less variability compared to months with lower average rainfall, such as June and September. Coastal districts near the Arabian Sea experience high rainfall variability, making them more susceptible to extreme climatic conditions like droughts and floods. Statistical analysis of rainfall patterns provides valuable insights into the variability of rainfall in the Saurashtra region. It helps identify areas with high variability and assesses the reliability of rainfall as a consistent source for crop production. This information is crucial for water resource management, agricultural planning, and mitigating the impact of droughts and floods in the region. Keywords: Rainfall Pattern, Rainfall Variability, Drought, Coefficient of Skewness, Coefficient of kurtosis DOI: http://dx.doi.org/10.22192/ijarbs.2023.10.06.011