Abstract
Empirical models of recession analysis provide information about surface and ground flow processes during periods of drought. The objective of this research is to evaluate the performance of three different techniques (individual segments, filtering method, genetic algorithms) in assessing the contribution of recession flow component in calculating runoff, using daily records of discharge. These techniques will focus on the values of the recession index covering ten flood events in the period of 1973–2003. The outputs of these models were then compared and their results appeared to validate two particular techniques: the filtering method with one parameter and the genetic algorithm method. The coefficient of determination (R2 = 0.7324–0.935) and the cross probability which equals 0.9 confirm the best separation of all events. Absolute similarities between flow types in the filtering method and genetic algorithms present systematic differences in the calibration form and on the consideration of obstacles and limitations.
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Acknowledgments
With special appreciation, the authors would like to dedicate this research paper to the developers of hydrograph separation software, which included data from the National Agency of Hydraulic Resources (ANRH) provided an invaluable source of information. This work was developed with the support of the Directorate General for Scientific Research and Technological Development DG-RSDT in addition of the PRFU-MESRS Project named Analysis of the potential impact of Climate Change on Rainfall Extreme, Flooding, and Urban Drainage Systems (Code#A17N01UN230120180001).
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Appendix
Appendix
Symbols | Description | Dimension |
|---|---|---|
Q t | Discharge at time t | L3T-1 |
Q 0 | Initial discharge | L3T-1 |
α | Dimensionless coefficient which depends on the transmissivity of the aquifer | / |
K | Recession constant of filtered sub-flow component | T-1 |
W | Average of the fraction of subflow volumes over total volumes | / |
B(T) | Filtered flow component | L3 T-1 |
Q T | Total streamflow | L3T-1 |
F(T) | Higher frequency component | L3T-1 |
S | Slope of the recession constant | T-1 |
V, A, B, C | Constants | / |
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Dahak, A., Boutaghane, H. Three techniques for flow component identification from daily discharge data in Madjez Ressoul catchment, Algeria. Arab J Geosci 13, 619 (2020). https://doi.org/10.1007/s12517-020-05521-5
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DOI: https://doi.org/10.1007/s12517-020-05521-5