Hydrometeorological drought analysis through Two-variate Standardized Index for the Paraná River Basin, Brazil

Hydrometeorological drought analysis through Two-variate Standardized Index for the Paraná River Basin, Brazil

Brazil has faced severe droughts in recent decades, significantly affecting agriculture, water supply, and hydropower generation, among other sectors. The Paraná River Basin, a major hub for hydropower, has been particularly affected, posing challenges for water management. To address this, we condu...

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Bibliographic Details
Published in:Journal of hydrology. Regional studies Vol. 54; p. 101886
Main Authors: Cuartas, Luz Adriana, Fujita, Thais, Andrade Campos, Juliana, Uvo, Cintia Bertacchi, Nikravesh, Gholamreza, Olsson, Jonas, Sörensen, Johanna, Marengo, José Antonio, Amore, Diogo, Broedel, Elisangela, Peixoto, Jerusa
Format: Journal Article
Language:English
Published: Elsevier B.V 01-08-2024
Elsevier
Subjects:
Bivariate drought index
Civil Engineering
Copula theory
Drought characterization
Engineering and Technology
Hydrological drought
Hydropower
Paraná River basin
Samhällsbyggnadsteknik
Teknik
Vattenteknik
Water Engineering
Hydrological drought
Bivariate drought index
Hydropower
Drought characterization
Paraná River basin
Copula theory
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Summary:Brazil has faced severe droughts in recent decades, significantly affecting agriculture, water supply, and hydropower generation, among other sectors. The Paraná River Basin, a major hub for hydropower, has been particularly affected, posing challenges for water management. To address this, we conducted a study to provide tailored climate information for the Brazilian hydroelectric sector. Given the complexity of hydrometeorological processes, involving hydrological, meteorological and climatological processes and anthropogenic factors, a multivariate approach is essential for drought assessment. We assessed the effectiveness of a Two-variate Standardized Index (TSI) in characterizing hydrometeorological droughts on large-scales basins and its potential as an operational decision support index. The TSI was compared with the Standardized Precipitation Index and the Standardized Streamflow Index, and we examined the correlation between TSI and Terrestrial Water Storage from GRACE and reservoir volumes, at different time scales. We used the HAND model and water table depth to gain a comprehensive understanding of drought conditions. The results show that the TSI outperforms the univariate indices SPI and SSFI in characterizing drought events in terms of severity and duration. The correlation analysis showed that time scales of 12 and 24 months are the most suitable for hydrometeorological drought monitoring. Overall, the study highlights the potential of TSI as an operational index for monitoring drought conditions and can be applied in basins with different climate regimes. [Display omitted] •The study estimates the TSI as tailored climate information to characterize and monitor hydrometeorological droughts.•The TSI demonstrated the potential as operational index for capturing drought onset and duration in diverse climate regimes.•TSI's conservative nature makes it a promising tool for early warning in water resource management.•Multivariate analysis is crucial for accurate drought assessment.
ISSN:2214-5818
2214-5818
DOI:10.1016/j.ejrh.2024.101886