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Journal of Arid Land  2025, Vol. 17 Issue (7): 865-887    DOI: 10.1007/s40333-025-0020-z     CSTR: 32276.14.JAL.0250020z
Research article     
Occurrence of flash drought in reservoirs in the semi-arid area of the Ceará State, Brazil
Suellen Teixeira Nobre GONÇALVES*(), Francisco das Chagas VASCONCELOS JÚNIOR, Cleiton da Silva SILVEIRA, José Micael Ferreira da COSTA, Antonio Duarte MARCOS JUNIOR
1Department of Civil Engineering, Federal University of Ceará (UFC), Fortaleza 60020-181, Brazil
2Ceará Foundation for Meteorology and Water Resources (FUNCEME), Fortaleza 60015-221, Brazil
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Abstract  

Precipitation is scarce in semi-arid areas, which results in serious drought. Occurrence of flash drought is quite often in these areas, and flash drought may also cause significant disasters. However, monitoring flash drought is still weak and remains a challenge. This study aims to identify, evaluate, and monitor flash drought events that occurred from 1961 to 2020 in reservoirs of the Ceará State, Brazil. The Christian's method, standardized precipitation index (SPI), standardized precipitation evapotranspiration index (SPEI), and evaporative demand drought index (EDDI) were used to assess the severity and persistence of flash drought. Moreover, analyses conducted in 2001, 2008, 2011, 2012, 2016, and 2020 revealed the complexity and interaction of flash drought with environmental and meteorological factors. The results indicated that in dry years such as 2001, 2012, and 2016, drought indices pointed to the intensification of drought conditions, with impacts on major reservoirs in the area, such as Banabuiú, Castanhão, and Orós. Low precipitation, associated with high evaporative demand, intensified water stress, reducing water availability for the population and local ecosystems. In wet years such as 2008, 2011, and 2020, SPEI and EDDI indicated higher moisture levels and drought relief, favoring the recovery of reservoirs. It was also observed that most flash drought episodes evolved into conventional droughts, highlighting their persistence and potential long-term impact. Moreover, the months of May and November presented a higher frequency of flash drought during the wet and dry periods, respectively, negatively impacting most of the studied reservoirs. These findings underscore the need for effective drought monitoring and mitigation strategies to reduce its impacts on agriculture and water resources in the semi-arid area. Early detection and analysis of flash drought are important for improving water resource management and for continuous adaptation to changing drought conditions.



Key wordswater resources      evaporative demand      drought indices      monitoring      precipitation     
Received: 03 November 2024      Published: 31 July 2025
Corresponding Authors: *Suellen Teixeira Nobre GONÇALVES (E-mail: suellen.nobre@gmail.com)
Cite this article:

Suellen Teixeira Nobre GONÇALVES, Francisco das Chagas VASCONCELOS JÚNIOR, Cleiton da Silva SILVEIRA, José Micael Ferreira da COSTA, Antonio Duarte MARCOS JUNIOR. Occurrence of flash drought in reservoirs in the semi-arid area of the Ceará State, Brazil. Journal of Arid Land, 2025, 17(7): 865-887.

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http://jal.xjegi.com/10.1007/s40333-025-0020-z     OR     http://jal.xjegi.com/Y2025/V17/I7/865

Fig. 1 Flowchart of the method used in the study
Fig. 2 Location of the hydrographic basins and monitored reservoirs of the Ceará State, Brazil
Fig. 3 Venn diagram with the representation of elements involved in the identification of flash drought (Christian et al., 2024)
Flash drought intensity index Classification Average SESR change (ΔSESR)
FD1 Moderate flash drought 20th-25th percentiles
FD2 Severe flash drought 15th-20th percentiles
FD3 Extreme flash drought 10th-15th percentiles
FD4 Exceptional flash drought <10th percentiles
Table 1 Classification of flash drought events according to their intensities
Stage of drought EDDI Classification Stage of drought EDDI Classification
ED4 ≥2.00 Extreme drought EW1 -0.99- -0.49 Poor humidity
ED3 1.49-1.99 Severe drought EW2 -1.49- -1.00 Moderate humidity
ED2 0.99-1.49 Moderate drought EW3 -1.99- -1.50 Severe humidity
ED1 0.49-0.99 Low drought EW4 ≤ -2.00 Extreme humidity
ED0 -0.49-0.49 Normal
Table 2 EDDI (evaporative demand drought index) classification according to drought severity
SPI Classification SPI Classification
≥2.00 Extreme precipitation -0.99- -0.49 Low drought
1.49-1.99 Severe precipitation -1.49- -1.00 Moderate drought
0.99-1.49 Moderate precipitation -1.99- -1.50 Severe drought
0.49-0.99 Light precipitation ≤ -2.00 Extreme drought
-0.49-0.49 Almost normal
Table 3 Classification of SPI (standardized precipitation index) according to severity
SPEI Classification SPEI Classification
≥2.00 Extremely wet -1.49- -1.00 Moderate drought
1.50-1.99 Very wet -1.99- -1.50 Severe drought
1.00-1.49 Moderately wet ≤ -2.00 Extreme drought
-0.99-0.99 Almost normal
Table 4 Classification of SPEI (standardized precipitation evapotranspiration index) according to wet or drought severity
Fig. 4 Percentage of years with flash drought for the monitored reservoirs of the Ceará State from 1961 to 2020. (a), pre-rainy season; (b), rainy season; (c), post-rainy season; (d), dry season.
Fig. 5 Percentage of years with flash drought for the monitored reservoirs in the Ceará State from 1961 to 2020. (a1-a4), moderate flash drought (FD1); (b1-b4), severe flash drought (FD2).
Fig. 6 Percentage of years with flash drought events for the monitored reservoirs in the Ceará State from 1961 to 2020. (a1-a4), extreme flash drought (FD3); (b1-b4), exceptional flash drought (FD4).
Fig. 7 Classification of flash drought events for the selected reservoirs from 1961 to 2020. (a), Araras; (b), Atalho; (c), Banabuiú; (d), Barragem do Batalhão; (e), Castanhão; (f), ltaúna; (g), Jaburu I; (h), Orós; (i), Pacoti; (j), Pentecoste; (k), Santo Antônio de Aracatiacu; (l), Santo Antônio de Russas.
Reservoir Pre-rainy season Rainy season Post-rainy season Dry season
Araras January May July November
Atalho January February July November
Banabuiú January May July November
Barragem do Batalhão January March July November
Castanhão January May June November
Itaúna January March July November
Jaburu I January May July November
Orós January May July November
Pacoti January March July November
Pentecoste January May July November
Santo Antônio de Aracatiaçu January May July November
Santo Antônio de Russas January May July November
Table 5 Month with the highest occurrence of flash drought for each season
Fig. 8 Classification of monthly SPI (standardized precipitation index) events for the selected reservoirs from 1961 to 2020. (a), Araras; (b), Atalho; (c), Banabuiú; (d), Barragem do Batalhão; (e), Castanhão; (f), ltaúna; (g), Jaburu I; (h), Orós; (i), Pacoti; (j), Pentecoste; (k), Santo Antônio de Aracatuaçu; (l), Santo Antônio de Russas.
Fig. 9 Classification of monthly SPEI (standardized precipitation evapotranspiration index) events for the selected reservoirs from 1961 to 2020. (a), Araras; (b), Atalho; (c), Banabuiú; (d), Barragem do Batalhão; (e), Castanhão; (f), ltaúna; (g), Jaburu I; (h), Orós; (i), Pacoti; (j), Pentecoste; (k), Santo Antônio de Aracatuaçu; (l), Santo Antônio de Russas.
Fig. 10 Classification of monthly EDDI (evaporative demand drought index) events for the selected reservoirs from 1961 to 2020. (a), Araras; (b), Atalho; (c), Banabuiú; (d), Barragem do Batalhão; (e), Castanhão; (f), ltaúna; (g), Jaburu I; (h), Orós; (i), Pacoti; (j), Pentecoste; (k), Santo Antônio de Aracatuaçu; (l), Santo Antônio de Russas.
Reservoir SPI and SPEI (%) SPI and EDDI (%) SPEI and EDDI (%)
Araras 92 58 54
Atalho 94 56 53
Banabuiú 92 65 62
Barragem do Batalhão 92 63 58
Castanhão 94 65 52
Itaúna 93 54 51
Jaburu I 86 51 52
Orós 93 63 60
Pacoti 93 53 54
Pentecoste 95 64 61
Santo Antônio de Aracatiaçu 90 54 51
Santo Antônio de Russas 91 63 59
Table 6 Relationships among SPI, SPEI, and EDDI indices
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