Drought characterization by using UNEP Aridity Index

Author: Sunil Kumar* and Shweta Gautam

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Abstract

ABSTRACT: UNEP Aridity Index (UNEP AI) methods was used to identify meteorological drought for long term (1990-2019) in Bundelkhand region of India. The percentage of drought occurrence were obtained by taking the ratio of drought occurrences to the total drought occurrences for particular time and particular drought category. The drought occurrence probabilities were calculated by using each drought event for all stations in each district in Bundelkhand region based on UNEP AI. Time relative frequency of drought occurrence in different classes viz. Hyper arid, arid and semi-arid were categorized based on UNEP aridity index values. The highest probability of occurrence for extreme drought (3.33 %) was monitored in three districts Chhatarpur, Damoh and Lalitpur. The highest percentage was observed at Jalaun district as 8.00 % for severe drought and of the moderate drought as 11.33 % at Jhansi district. The highest probability of occurrence for hyper arid (9.33 %) was monitored in Datia

Keywords

Keywords: Drought, UNEP aridity index, Hyper arid, probability of occurrence, time relative frequency.