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

Cuartas, Luz Adriana LU ; Fujita, Thais LU ; Andrade Campos, Juliana ; Uvo, Cintia Bertacchi LU orcid ; Nikravesh, Gholamreza LU ; Olsson, Jonas LU ; Sörensen, Johanna LU ; Marengo, José Antonio ; Amore, Diogo and Broedel, Elisangela , et al. (2024) In Journal of Hydrology: Regional Studies 54.
Abstract

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... (More)

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.

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type
Contribution to journal
publication status
published
subject
keywords
Bivariate drought index, Copula theory, Drought characterization, Hydrological drought, Hydropower, Paraná River basin
in
Journal of Hydrology: Regional Studies
volume
54
article number
101886
publisher
Elsevier
external identifiers
  • scopus:85199308855
ISSN
2214-5818
DOI
10.1016/j.ejrh.2024.101886
language
English
LU publication?
yes
id
5c5fd433-4062-4d16-9a9c-cb0e1dd1ac83
date added to LUP
2024-09-13 13:11:07
date last changed
2024-10-18 11:39:56
@article{5c5fd433-4062-4d16-9a9c-cb0e1dd1ac83,
  abstract     = {{<p>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.</p>}},
  author       = {{Cuartas, Luz Adriana and Fujita, Thais and Andrade Campos, Juliana and Uvo, Cintia Bertacchi and Nikravesh, Gholamreza and Olsson, Jonas and Sörensen, Johanna and Marengo, José Antonio and Amore, Diogo and Broedel, Elisangela and Peixoto, Jerusa}},
  issn         = {{2214-5818}},
  keywords     = {{Bivariate drought index; Copula theory; Drought characterization; Hydrological drought; Hydropower; Paraná River basin}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Hydrology: Regional Studies}},
  title        = {{Hydrometeorological drought analysis through Two-variate Standardized Index for the Paraná River Basin, Brazil}},
  url          = {{http://dx.doi.org/10.1016/j.ejrh.2024.101886}},
  doi          = {{10.1016/j.ejrh.2024.101886}},
  volume       = {{54}},
  year         = {{2024}},
}