2017
DOI: 10.3390/su9111963
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Temporal Variability and Trends of Rainfall and Streamflow in Tana River Basin, Kenya

Abstract: This study investigated temporal variabilities and trends of rainfall and discharges in Tana River Basin in Kenya using Mann-Kendall non-parametric test. Monthly rainfall data from ten stations spanning from 1967 to 2016 and daily streamflow data time series of observations from 1941 to 2016 (75 years) were analyzed with the aim of capturing and detecting multiannual and seasonal variabilities and monotonic trends. The results for the datasets suggested that the streamflow is largely dependent on increasing ra… Show more

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Cited by 50 publications
(27 citation statements)
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“…In this study, increasing rainfall trends and variability upstream and subsequent up-trends and temporal variability of streamflow extremal values characterized the last two decades. Similar observation on the trends in this river basin was made by Langat, Kumar [58]. The variations in the meteorological conditions usually occur over a fairly long time, the amount of rainfall increased during this period under study and may have contributed to the FDC's shape.…”
Section: Effects Of Land Use and Climatesupporting
confidence: 83%
“…In this study, increasing rainfall trends and variability upstream and subsequent up-trends and temporal variability of streamflow extremal values characterized the last two decades. Similar observation on the trends in this river basin was made by Langat, Kumar [58]. The variations in the meteorological conditions usually occur over a fairly long time, the amount of rainfall increased during this period under study and may have contributed to the FDC's shape.…”
Section: Effects Of Land Use and Climatesupporting
confidence: 83%
“…The package uses the maximum likelihood estimation method but also provides moment matching [8], quantile matching (QME), and maximum goodness-of fit estimation (MGE) methods. The bootstrap method [68] was used to calculate confidence intervals on quantiles of the fitted distribution from the marginal distribution of the nonparametric bootstrapped values to help understand the potential structural correlation between parameters and characterise the uncertainty in the distribution parameters [51]. The whole bootstrap sample was used to improve the estimates' reliability [69], and also because of their importance in risk assessment.…”
Section: Methodsmentioning
confidence: 99%
“…The annual series of extreme streamflow datasets are derived from the daily stream flow data in accordance with [6] and used in flood frequency analysis (FFA) distribution model assessment. A detailed trend analysis of this streamflow data is presented in [51].…”
Section: Study Site and Datamentioning
confidence: 99%
“…Droughts have significant socioeconomic and environmental impacts, both direct and indirect. In general, drought have a major impact on agriculture and related sectors, including forestry and fisheries, and it can lead to famines, internal displacement, natural resource degradation, weak economic performance, and can also exacerbate social tensions and fuel civil unrest [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%