2023
DOI: 10.3390/atmos14060958
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Correlations between Summer Discharge and South Asian Summer Monsoon Subsystems in Mekong River Basin

Abstract: Hydrological conditions are strongly regulated by monsoon systems in the Mekong River Basin (MRB), while relevant studies investigating the intensity of the rainy season are still insufficient. This study employed the Mann-Kendall (M-K) test, Sen’s slope estimator, and innovation trend analysis to detect the variation of summer discharge in the MRB. Wavelet analysis is used to investigate the correlation between discharge and two South Asian summer monsoon subsystems (SAMI1 and SAMI2). Results show that the su… Show more

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Cited by 2 publications
(3 citation statements)
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References 51 publications
(85 reference statements)
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“…As for the results, when the Z value is negative, a falling trend is recognized, and when the Z value is positive, a rising trend is discerned. At a significance level of 0.05 (0.01, 0.001), Z > 1.96 (2.58) and Z < −1.96 (−2.58) indicate significant increasing and decreasing trends, respectively [35].…”
Section: Mann-kendall Test and Theil-sen's Slope Estimatormentioning
confidence: 98%
See 1 more Smart Citation
“…As for the results, when the Z value is negative, a falling trend is recognized, and when the Z value is positive, a rising trend is discerned. At a significance level of 0.05 (0.01, 0.001), Z > 1.96 (2.58) and Z < −1.96 (−2.58) indicate significant increasing and decreasing trends, respectively [35].…”
Section: Mann-kendall Test and Theil-sen's Slope Estimatormentioning
confidence: 98%
“…Theil-Sen is a nonparametric alternative to ordinary least-squares regression. Sen's slope has an advantage compared to linear regression, in that the test is not affected by the number of outliers and data errors [35]. The Sen's slope equation is written as follows:…”
Section: Mann-kendall Test and Theil-sen's Slope Estimatormentioning
confidence: 99%
“…Firstly, we applied the Mann-Kendall statistical test to detect monotonic trends in data. A large bevy of previous studies have used this statistical test to ascertain the presence of statistically significant trends in meteorological and climatic timeseries datasets [18][19][20][21][22][23]. Furthermore, Sen's slope estimator can yield a trend slope estimate and is comparatively robust to outliers.…”
Section: Introductionmentioning
confidence: 99%