Hydrogeological System of Sebaou River Watershed (Northern Central Algeria): An Assessment of Rainfall-Runoff Relationship

Zerouali, Bilel; Mesbah, Mohamed; Chettih, Mohamed; Djemai, Mohammed; Abda, Zaki

doi:10.1007/978-3-030-01572-5_7

Cited by 4 publications

(1 citation statement)

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“…Such anomalies may appear in the rainfall time series, but not in the stream flow time series, because the latter can suffer human interference. For example, [22] found that, in the Sebaou River basin (northern central of Algeria), the rainfall and discharge relationship was nonlinear, which could be mainly due to the drought events. Moreover, the analysis, research, and investigation of the field revealed that the Taksebt dam's commissioning and the smuggling and trafficking of rocks and sands from the riverbed since 1998 has had a negative and significant influence on the river flow amount.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Innovative Triangular Trend Analysis of Rainfall Based on a Spectral Approach

Zerouali

Al‐Ansari

Chettih

et al. 2021

Water

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The world is currently witnessing high rainfall variability at the spatiotemporal level. In this paper, data from three representative rain gauges in northern Algeria, from 1920 to 2011, at an annual scale, were used to assess a relatively new hybrid method, which combines the innovative triangular trend analysis (ITTA) with the orthogonal discrete wavelet transform (DWT) for partial trend identification. The analysis revealed that the period from 1950 to 1975 transported the wettest periods, followed by a long-term dry period beginning in 1973. The analysis also revealed a rainfall increase during the latter decade. The combined method (ITTA–DWT) showed a good efficiency for extreme rainfall event detection. In addition, the analysis indicated the inter- to multiannual phenomena that explained the short to medium processes that dominated the high rainfall variability, masking the partial trend components existing in the rainfall time series and making the identification of such trends a challenging task. The results indicate that the approaches—combining ITTA and selected input combination models resulting from the DWT—are auspicious compared to those found using the original rainfall observations. This analysis revealed that the ITTA–DWT method outperformed the ITTA method for partial trend identification, which proved DWT’s efficiency as a coupling method.

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Section: Introductionmentioning

confidence: 99%