Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6208
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dc.contributor.authorPoonia, Vikasen_US
dc.contributor.authorGoyal, Manish Kumaren_US
dc.contributor.authorJha, Srinidhien_US
dc.contributor.authorDas, Jewen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T10:45:53Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T10:45:53Z-
dc.date.issued2021-
dc.identifier.citationPoonia, V., Goyal, M. K., Gupta, B. B., Gupta, A. K., Jha, S., & Das, J. (2021). Drought occurrence in different river basins of india and blockchain technology based framework for disaster management. Journal of Cleaner Production, 312 doi:10.1016/j.jclepro.2021.127737en_US
dc.identifier.issn0959-6526-
dc.identifier.otherEID(2-s2.0-85107659666)-
dc.identifier.urihttps://doi.org/10.1016/j.jclepro.2021.127737-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/6208-
dc.description.abstractDrought 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. © 2021 Elsevier Ltden_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.sourceJournal of Cleaner Productionen_US
dc.subjectBlockchainen_US
dc.subjectClimate changeen_US
dc.subjectDisaster preventionen_US
dc.subjectDisastersen_US
dc.subjectRisk assessmenten_US
dc.subjectRisk managementen_US
dc.subjectRiversen_US
dc.subjectSoil moistureen_US
dc.subjectWatershedsen_US
dc.subject%moistureen_US
dc.subjectBlock-chainen_US
dc.subjectConcurrenceen_US
dc.subjectDecentraliseden_US
dc.subjectDisaster managementen_US
dc.subjectDrought severityen_US
dc.subjectEvolutionen_US
dc.subjectRiver basinsen_US
dc.subjectSpatiotemporal distributionsen_US
dc.subjectTechnology-baseden_US
dc.subjectDroughten_US
dc.titleDrought occurrence in Different River Basins of India and blockchain technology based framework for disaster managementen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Civil Engineering

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