2020
DOI: 10.1007/s00704-020-03229-w
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Drought severity indexes for the Tocantins River Basin, Brazil

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Cited by 16 publications
(24 citation statements)
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“…According to the Euclydes et al [31] classification, the PRB has a high natural regularization capacity once SY 7,10 corresponds to 33% of SY mean , which follows the α value close to zero (0.0073). The α is close to that obtained by Freitas and Bacellar [32] in sub-basins of the upper São Francisco River and by Junqueira et al [12] in the Tocantins river basin. From the flow-duration curve (Figure 2B), Q 90% and Q 95% was equal to 9.7 and 7.7 m 3 s −1 , respectively, which generated SY 90 equal to 3.0 L s −1 km −2 and SY 95 equal to 2.4 L s −1 km −2 , higher than SY 7,10 .…”
Section: Hydrological Behaviorsupporting
confidence: 90%
See 1 more Smart Citation
“…According to the Euclydes et al [31] classification, the PRB has a high natural regularization capacity once SY 7,10 corresponds to 33% of SY mean , which follows the α value close to zero (0.0073). The α is close to that obtained by Freitas and Bacellar [32] in sub-basins of the upper São Francisco River and by Junqueira et al [12] in the Tocantins river basin. From the flow-duration curve (Figure 2B), Q 90% and Q 95% was equal to 9.7 and 7.7 m 3 s −1 , respectively, which generated SY 90 equal to 3.0 L s −1 km −2 and SY 95 equal to 2.4 L s −1 km −2 , higher than SY 7,10 .…”
Section: Hydrological Behaviorsupporting
confidence: 90%
“…Besides the reduction in precipitation, the increase in temperature and, consequently, in evapotranspiration, contributed to the hydrological drought intensification, as highlighted by Van Loon [7] and Junqueira et al [12]. According to data obtained from the Brazilian National Institute of Meteorology (INMET) using a weather station close to the basin (Januária station), the daily annual average temperature from 1977/78 to 2012/13 was 23.4 • C, however, from 2013/14 to 2017/18 there was an increase of 1.3 • C. Thus, the ETR in this period was equal to 88.4%, higher than the average observed in the studied period (81.4%).…”
Section: Meteorological and Hydrological Droughtsmentioning
confidence: 97%
“…SSFI is calculated by fitting the gamma probability function (GPF) on the accumulated non-exceedance frequency of the stationarity historical series and then applying the Gauss distribution inverse, thus resulting in the SSFI values. SSFI is classified as extremely dry (ED) (SSFI ≤ −2.0), severely dry (SD) (−2.0 < SFFI ≤ −1.5), moderately dry (MD) (−1.5 < SSFI ≤ -1.0), normal (N) (−1.0 < SSFI ≤ 1), moderately wet (MW) (1.0 < SSFI ≤ 1.5), very wet (VW) (1.5 < SSFI ≤ 2.0), and extremely wet (EW) (SSFI ≥ 2.0) [44].…”
Section: Assessment Of the Hydrological Impactsmentioning
confidence: 99%
“…Table 4 shows the SSFI thresholds followed by the respective classification [44] and the runoff and return period calculated for each class for the GRB-Furnas basin.…”
Section: Hydrological Drought Assessmentmentioning
confidence: 99%
“…It is possible to observe that the 95PPU band did not include the recessions that occurred in the years 2015 and 2016 the observed data. In these years, Junqueira et al [77] observed one of the most severe droughts in the basin for the 1987-2017 period, which may have affected SWAT performance.…”
Section: Swat Performance Evaluationmentioning
confidence: 99%