2023
DOI: 10.3390/su15119065
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Assessment of Variability in Hydrological Droughts Using the Improved Innovative Trend Analysis Method

Abstract: The use of hydro-climatological time series to identify patterns is essential for comprehending climate change and extreme events such as drought. Hence, in this study, hydrological drought variability based on the standard drought index (SDI) using DrinC was investigated at ten (10) hydrological stations in the Upper Indus River Basin (UIRB) of Pakistan on a monthly timescale for a period of 1961–2018. Moreover, the applicability of the improved innovative trend analysis by Sen Slope method (referred hereafte… Show more

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Cited by 5 publications
(3 citation statements)
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“…Several researchers have assessed the impacts of climate change on different regions around the globe [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. In addition, various studies have assessed rainfall trends for different regions around the world (e.g., [18][19][20][21][22][23][24][25][26][27][28][29][30][31]).…”
Section: Introductionmentioning
confidence: 99%
“…Several researchers have assessed the impacts of climate change on different regions around the globe [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. In addition, various studies have assessed rainfall trends for different regions around the world (e.g., [18][19][20][21][22][23][24][25][26][27][28][29][30][31]).…”
Section: Introductionmentioning
confidence: 99%
“…As a rank-based non-parametric test (Mann 1945;Kendall 1975;Ashraf et al 2023), applying the Mann-Kendall test is popular in the analysis of hydrological and meteorological data. The following equation is employed to determine S which is the statistics of the Mann-Kendall test (Berhail et al 2022):…”
Section: Mann-kendall Test (M-k Test)mentioning
confidence: 99%
“…The Mann-Kendall test (Mann 1945;Kendall 1975) is of widespread practice for the investigation of trends (Alam et al 2023). The method has been employed by several researchers (Ashraf et al 2023;Suhana et al 2023;Dufera et al 2023;Thi et al 2023) in the detection of trends. Innovative trend analysis (ITA) which has been developed and assessed by Şen (2012) and Şen (2017) is the method employed by many researchers (Alam et al 2023;Achite et al 2023;Yuce et al 2023;Soylu Pekpostalci et al 2023) for detecting the behavior of different drought types.…”
Section: Introductionmentioning
confidence: 99%