International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 4, Part K

Meteorological drought analysis using multi-scalar SPEI and Copula theory for Jaisalmer district of Rajasthan, India


Author(s): Yogesh Kumar and Anil Kumar

Abstract:
Drought is a natural disaster of creeping phenomenon which is difficulty to understand. This study utilizes multi-scalar SPEI and copula theory to analyze the meteorological drought in Jaisalmer district of Rajasthan, India. Several marginal distributions are fitted to drought duration and severity. Archimedean and Metaelliptical copulas are used to construct the bivariate probability distributions. The univariate and bivariate return periods are calculated to identify the associate drought risks. The results of this study can provide effective information for the study area to assess drought risk and contribute to the decision-making process to reduce the associated risks. This can result in optimizing the allocation of water resources and reduce the impact of drought on the Jaisalmer district in the future.


DOI: 10.22271/maths.2023.v8.i4Sk.1154

Pages: 820-825 | Views: 203 | Downloads: 11

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How to cite this article:
Yogesh Kumar, Anil Kumar. Meteorological drought analysis using multi-scalar SPEI and Copula theory for Jaisalmer district of Rajasthan, India. Int J Stat Appl Math 2023;8(4S):820-825. DOI: 10.22271/maths.2023.v8.i4Sk.1154
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