IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Analyzing Rainfall Data for Drought Investigation in Gariyaband District, Chhattisgarh: A Research Study

Main Article Content

Asha Kiran Minj, Dr. Sanddep Sahu , Dr. Praveen Kumar Yadaw, Dr. Lekhraj Sahu

Abstract

Analyzing drought patterns facilitates crop planning in rainfed regions, enhancing drought prediction capabilities. This study explores the recurrence patterns of drought based on weekly, seasonal, monthly, and yearly rainfall severity using last 10 years of data (2011 to 2020) from Gariyaband, Chhattisgarh. Among the study period, SMW 39 experienced the most severe drought. Over the decade, SMW 35 encountered a maximum of three instances of severe drought, while SMW 24 had up to four instances of moderate drought. Notably, July had no catastrophic drought compared to December, which reached a maximum rate of 90.00%. In July, severe drought occurred at the highest percentage (40.00%). Seasonal analysis revealed that during the monsoon season, 40.00% of the time experienced no drought, 50.00% mild drought, 10.00% severe drought, and 0.00% devastating drought. Similarly, during the kharif season, 50.00% of the time had no drought, 30.00% mild drought, 20% severe drought, and 0% devastating drought. The year 2015 stood out as a severe drought period with a rainfall variance of -25.640%. To ensure irrigation in rainfed areas, implementing significant measures is imperative.

Article Details