2018
DOI: 10.1016/j.jhydrol.2018.06.053
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Impacts of reservoir operations on multi-scale correlations between hydrological drought and meteorological drought

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Cited by 107 publications
(67 citation statements)
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“…Overall, the streamflow variation due to reservoirs is of the greatest importance and has been extensively investigated in the literature. Multiple studies have reported an increased streamflow in dry seasons for water supply and a decreased streamflow in wet seasons for flood control (Lv et al, ; Ngo, Masih, Jiang, & Douven, ; Wu et al, ), which is in line with our finding with respect to a reservoir network. Over a long‐term period, a slightly decreased streamflow can be observed, which can be attributed to reservoir seepage and evaporation.…”
Section: Discussionsupporting
confidence: 93%
“…Overall, the streamflow variation due to reservoirs is of the greatest importance and has been extensively investigated in the literature. Multiple studies have reported an increased streamflow in dry seasons for water supply and a decreased streamflow in wet seasons for flood control (Lv et al, ; Ngo, Masih, Jiang, & Douven, ; Wu et al, ), which is in line with our finding with respect to a reservoir network. Over a long‐term period, a slightly decreased streamflow can be observed, which can be attributed to reservoir seepage and evaporation.…”
Section: Discussionsupporting
confidence: 93%
“…The calculation steps of the SPI method, which are used frequently in meteorological drought analysis, are as follows: A probability distribution function is fitted to the long‐term (minimum 30 years) precipitation data. The gamma distribution function is expressed as the most suitable distribution function of the precipitation data in most of the studies (Niu et al ., ; Wu et al ., ). Cumulative probabilities are calculated by the fitted probability distribution function. The calculation steps of the parameters and cumulative probabilities of the Gamma distribution function can be found in detail in the relevant study (Gumus and Algin, ). Cumulative probabilities are converted to SPI values with a mean of 0 and a standard deviation of 1 by using Equations 1 and 2: t={0.12emln1()H()x20<H()x0.50.12emln1()1H()x20.5H()x1 italicSPI={()tc0+c1t+c2t21+d1t+d2t2+d3t30<H()x0.5+()tc0+c1t+c2t21+d1t+d2t2+d3t30.5H()x<1 where H ( x ) is the cumulative probability of observed precipitation according to the fitted probability distribution function; and c 0 , c 1 , c 2 , d 1 , d 2 and d 3 are the constants with values of 2.515517, 0.802853, 0.010328, 1.1432788, 0.189269 and 0.01308, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…; Tirivarombo et al ., ). Precipitation data are used for the determination of meteorological droughts using the SPI method (Mo, ; Wang et al ., ; Stagge et al ., ; Wu et al ., ). However, in the SPEI method, drought characteristics are determined by using precipitation and potential evapotranspiration data.…”
Section: Introductionmentioning
confidence: 97%
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