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  5. Drought occurrence in Different River Basins of India and blockchain technology based framework for disaster management

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Article
English
2021

Drought occurrence in Different River Basins of India and blockchain technology based framework for disaster management

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English
2021
Journal of Cleaner Production
Vol 312
DOI: 10.1016/j.jclepro.2021.127737

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Manish Kumar Goyal
Manish Kumar Goyal

Indian Institute Of Technology Indorethe Institution

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Vikas Poonia
Manish Kumar Goyal
Brij B. Gupta
+3 more

Abstract

Drought assessment is crucial to mitigate its adverse impact, especially in India, where risk is more due to an increase in population and climate change. However, most of the studies deal with one or a couple of droughts and lack the interrelationship between all major drought types. The study investigates the spatio-temporal distribution of multiple drought types, individually and concurrently in India. Further drought trend analysis is performed based on their mean duration, mean spatial extent, and frequency. Moreover, the drought evolution process which explains the evolution of drought type into another type is also examined. Finally, a blockchain-based framework is proposed to improve the current drought risk management system to facilitate the drought fatalities to get their help and aid as soon as possible. Results demonstrate that hydrological and soil moisture droughts are observed to be more influential as compared to the other two drought types in most of the river basins of India. Further, it was found that 82% of concurrent droughts involve soil moisture drought in 16 out of 25 river basins. The present study facilitates a novel method to investigate drought from several perspectives over India, thus helps to provide important information for drought mitigation and adaptation strategies.

How to cite this publication

Vikas Poonia, Manish Kumar Goyal, Brij B. Gupta, Anil K. Gupta, Srinidhi Jha, Jew Das (2021). Drought occurrence in Different River Basins of India and blockchain technology based framework for disaster management. Journal of Cleaner Production, 312, pp. 127737-127737, DOI: 10.1016/j.jclepro.2021.127737.

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Publication Details

Type

Article

Year

2021

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

Journal of Cleaner Production

DOI

10.1016/j.jclepro.2021.127737

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