A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Bivariate Drought Risk Estimation Using a Multivariate Standardized Drought Index in Marathwada Region, India
Drought is a natural disaster that can cause water scarcity and damage to crop yields. Rather than conventionally used univariate drought monitoring indices, this study applied the parametric Multivariate Standardized Drought Index (MSDI) for drought monitoring in the Marathwada region. The index is constructed using historical time series of precipitation and soil moisture by engaging copula functions. The drought conditions characterized by MSDI are then compared with two univariate drought indices. Two significant drought characteristics, duration, and severity are identified using the MSDI and fitted probability models. The best-fit marginal distributions were selected by performing goodness-of-fit tests and standard performance measures. Three Archimedean copulas and two meta-elliptical copulas were applied for bivariate modelling of drought characteristics, and their suitability was evaluated using goodness-of-fit tests. Subsequently, the drought risks for the study region have been assessed using the constructed copula-based joint distribution models. The results highlight the importance of multivariate drought risk assessment in the study region.
Bivariate Drought Risk Estimation Using a Multivariate Standardized Drought Index in Marathwada Region, India
Drought is a natural disaster that can cause water scarcity and damage to crop yields. Rather than conventionally used univariate drought monitoring indices, this study applied the parametric Multivariate Standardized Drought Index (MSDI) for drought monitoring in the Marathwada region. The index is constructed using historical time series of precipitation and soil moisture by engaging copula functions. The drought conditions characterized by MSDI are then compared with two univariate drought indices. Two significant drought characteristics, duration, and severity are identified using the MSDI and fitted probability models. The best-fit marginal distributions were selected by performing goodness-of-fit tests and standard performance measures. Three Archimedean copulas and two meta-elliptical copulas were applied for bivariate modelling of drought characteristics, and their suitability was evaluated using goodness-of-fit tests. Subsequently, the drought risks for the study region have been assessed using the constructed copula-based joint distribution models. The results highlight the importance of multivariate drought risk assessment in the study region.
Bivariate Drought Risk Estimation Using a Multivariate Standardized Drought Index in Marathwada Region, India
Tarekul Islam, G. M. (editor) / Shampa, Shampa (editor) / Chowdhury, Ahmed Ishtiaque Amin (editor) / Datta, Rajarshi (author) / Reddy, Manne Janga (author)
Water Management: A View from Multidisciplinary Perspectives ; Chapter: 9 ; 173-189
2022-03-26
17 pages
Article/Chapter (Book)
Electronic Resource
English
| Taylor & Francis Verlag | 2023
Multivariate Standardized Drought Index: A parametric multi-index model
| British Library Online Contents | 2013
Nonparametric Approach for Bivariate Drought Characterization Using Palmer Drought Index
| British Library Online Contents | 2006