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Development and application of a new drought severity index for categorizing drought-prone areas: a case study of undivided Andhra Pradesh state, India

Author

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  • P. Vijaya Kumar

    (Central Research Institute for Dryland Agriculture (CRIDA))

  • Mohammed Osman

    (Central Research Institute for Dryland Agriculture (CRIDA))

  • P. K. Mishra

    (Central Soil and Water Conservation Research and Training Institute)

Abstract

The state of undivided Andhra Pradesh, India, spent around US$ 20 million per annum on drought relief programs during the period 1998–2008. However, till date, no long-term drought plans are in place due to poor availability of information on drought severity at each mandal or county level. For assessing the vulnerability of mandals to different drought intensities, a simple and novel drought severity index called CRIDA Drought Severity Index, named after the affiliated institute, was developed. This index takes into account frequency and intensity of agricultural droughts at mandal level. The frequency and intensity were estimated using average moisture adequacy index (MAI) during the crop growing season for each mandal. The years with average MAI during crop season of > 0.75, 0.50, 0.25, and

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  • P. Vijaya Kumar & Mohammed Osman & P. K. Mishra, 2019. "Development and application of a new drought severity index for categorizing drought-prone areas: a case study of undivided Andhra Pradesh state, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 793-812, June.
    • Handle: RePEc:spr:nathaz:v:97:y:2019:i:2:d:10.1007_s11069-019-03675-4
    DOI: 10.1007/s11069-019-03675-4
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    Cited by:

    1. Manman Zhang & Dang Luo & Yongqiang Su, 2022. "Drought monitoring and agricultural drought loss risk assessment based on multisource information fusion," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 775-801, March.
    2. Nayan D. Zagade & Bhavana N. Umrikar, 2021. "Drought severity modeling of upper Bhima river basin, western India, using GIS–AHP tools for effective mitigation and resource management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1165-1188, January.

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